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Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots. You will own the development of embedded software for critical robotic subsystems, including motion control, sensor interfaces, communication networks, and hardware abstraction layers that enable reliable and safe robotic operation. This role requires strong fundamentals in embedded programming, distributed hard real-time systems, and hardware-software integration, along with experience building robust software for complex electromechanical systems. You will collaborate closely with mechanical, electrical, and robotics engineers to rapidly prototype, test, and deploy embedded software that powers our robotic platforms. Your work will directly influence the performance, reliability, and responsiveness of Humanoid’s robots.   WHAT MAKES THIS ROLE EXCITING - Design and develop embedded systems that control humanoid robots in real time safely - Solve challenging problems in low-latency motion control, distributed embedded networks, and high-reliability robotic systems with various communication protocols - Work in a fast-moving hardware environment where software directly interacts with physical machines - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and AI - See your code deployed in real robots operating in real-world environments. WHAT YOU’LL DO - Develop and implement embedded software for robotic systems, emphasizing hard real-time performance and reliability as well as safety - Integrate and optimize hardware and software components, including sensors, actuators, and communication modules - Analyze and make recommendations on implementation paths with trade-offs - Write and debug firmware for microcontrollers, FPGAs, ASICs, and SoCs - Implement and manage communication protocols such as EtherCAT, CAN, UART, SPI, and I2C - Collaborate closely with mechanical and electrical engineers to ensure seamless system integration - Perform hardware testing, validation, and troubleshooting of embedded systems - Analyze system constraints and resource limitations to optimize performance and efficiency - Develop low-level drivers and interfaces for sensors, motors, and control electronics - Maintain clear documentation of system architecture, code, and test results for traceability and maintainability - Own embedded software components from concept through testing and deployment. WE’RE LOOKING FOR - 5+ years of professional experience developing embedded software or firmware for robotics, embedded systems, or real-time hardware platforms - Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Robotics, or a related field - Strong proficiency in C and C++, with experience using Python for testing or tooling - Solid understanding of embedded systems architecture and hardware-software interfaces - Experience with real-time operating systems (RTOS) - Experience working with communication protocols such as EtherNet, EtherCAT, CAN, SPI, UART, or I2C - Experience integrating sensors, actuators, and motor control systems - Familiarity with debugging tools such as oscilloscopes, logic analyzers, and in-circuit debuggers - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced multidisciplinary engineering environment. BONUS QUALIFICATIONS - Experience working with robotics frameworks such as ROS or ROS2 - Hands-on experience with FPGA or SoC development - Experience developing distributed robotic control systems - Familiarity with agile development methodologies - Experience with EtherCAT-based motor drivers and real-time control networks - Experience developing safety-critical or high-reliability embedded systems.   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Vancouver, the expected base salary range is $140,000 – $180,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, IT Solutions Engineering Location: Remote US Compensation Range: $130,000 to $140,000 base plus bonus and equity What You’ll Do: As a Senior IT Automation Engineer on the IT Solutions Engineering team, you will shape how Huntress uses automation and AI to work smarter, move faster, and scale securely. You will own the strategy and operating model for our Automation and Agentic AI Center of Excellence, turning tools such as Claude, Glean, Zapier, and related platforms into practical systems that improve how teams get work done. You embrace continuous improvement by testing what has the most leverage, learning quickly, and improving the patterns that scale. You find friction before it becomes someone else’s problem and owning the path from idea to adoption. You measure success by the operational impact, security, and value your systems create across Huntress.You’ll work side by side with the rest of the IT Solution Engineering team and automation engineering peers to accomplish your work. Responsibilities: Lead cross-functional initiatives that use automation to improve operational scale, employee experience, and business execution. Own the enterprise automation and integration stack, including Zapier and connected business systems, while ensuring performance, maintainability, and security alignment. Establish and operate the Automation and Agentic AI Center of Excellence, including standards, governance, documentation, intake, and prioritization practices. Build reusable frameworks, templates, libraries, and design patterns that help enable self service and deliver reliable solutions faster with more consistency. Represent IT with Internal Innovation to collaborate on AI adoption, feature enablement, and governance. Design modular, resilient integration patterns and automation pipelines with secure data handling, role-based access control, and least-privilege principles built in. Analyze operational inefficiencies, identify high-value opportunities, and deliver data-informed recommendations and roadmaps to leadership. Re-engineer meaningful parts of the operational layer with AI, using tools such as Claude and Glean to create reusable workflows that preserve human judgment, security, and measurable outcomes. What You Bring To The Team: You have 7+ years of experience in automation engineering, systems integration, or a similar technical leadership role, with experience on or partnering closely with IT teams. You have set automation strategy, translated organizational goals into practical roadmaps, and guided initiatives from concept through adoption. You have hands-on experience with enterprise workflow platforms, API-based integrations, and Microsoft tooling such as Azure, Entra, and Intune, along with Python or JavaScript/TypeScript scripting and version-controlled delivery practices. You understand SaaS security, identity and access management, credential protection, privacy-aware data handling, and the risk assessment of new integrations. You can diagnose root causes, weigh automation against manual processes, and make clear decisions about where standardization creates the most value. You communicate technical trade-offs clearly with engineers, business partners, and executive stakeholders, and you can guide teams toward maintainable solutions. You have re-engineered workflows with AI and can design reusable systems that let tools such as Claude and Glean run meaningful parts of the operational layer while keeping human judgment, security, and measurable outcomes in the loop. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Singapore; Hong Kong Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Join our Regulatory Legal team, the group responsible for maintaining and growing Kraken's product offerings across every region we operate in and for advising the business on its day-to-day regulatory obligations. We are a tight, experienced group of lawyers from tradfi (traditional finance), fintech and crypto backgrounds who move fast, stay curious and take pride in the commercial accountability of our advice. We partner directly with Compliance, Product and senior leadership to keep our licensed entities running smoothly and our regulators well served. This is a remote role based in Hong Kong or Singapore, supporting our growing volume of regulatory work across the broader APAC region. You will operate as a practical legal generalist with a focus on Product legal advice: supporting launches and product changes across APAC, including derivatives and over-the-counter ("OTC") options, tokenised equities, earn and staking products, custody, and card and payments offerings.     THE OPPORTUNITY - Provide product legal support for APAC launches and enablement across the entire Payward product suite, including xStocks, OTC options, institutional custody and execution, and cross-regional products rolling out across APAC - Act as a gatekeeper for new APAC outside counsel engagements: scope the work, estimate the cost, and sign off before matters are routed externally, so that outside counsel is used where local-law advice is genuinely required - Translate complex regulatory frameworks into pragmatic, actionable guidance for the business, favouring plain-English communication, measurable risk trade-offs and decision-ready recommendations - Use AI-assisted tools (for example for multi-jurisdiction licensing analysis, first drafts of regulatory submissions and matter tracking) to raise the speed and consistency of the team's work - Own the APAC regulatory workload under the direction of the APAC regulatory lead, including licence variations, client and broker agreement documentation, licensing structure questions and routine regulator correspondence - Take ownership of geography-specific licensing in markets such as Kazakhstan, Pakistan and the Philippines, instructing and supervising local counsel in region and in time zone, and supporting other APAC markets (for example South Korea, Japan, Taiwan, Vietnam, Indonesia and Malaysia) as they arise - Support Payward Group licensing initiatives in key APAC markets such as Singapore and Hong Kong, including preparing application materials and coordinating with outside counsel     WHAT YOU BRING - Qualified lawyer admitted in Singapore, Hong Kong, England and Wales, or an equivalent common law jurisdiction - 10 or more years' post-qualification experience ("PQE") in financial services regulatory law, gained at a regulated financial services institution (for example a bank, broker-dealer, exchange, derivatives dealer or crypto services provider), at a law firm supporting such clients and/or at a relevant regulator - Demonstrated ability to independently own regulatory relationships and business-as-usual regulatory workstreams, including notifications, information requests and supervisory correspondence - Strong experience with the financial regulatory landscape in a major Asian financial centre (eg, Singapore and the MAS, Hong Kong and the SFC/HKMA) - Proven ability to instruct, supervise and manage the cost of local counsel across multiple jurisdictions, including in markets where you are not admitted - Working knowledge of anti-money laundering and counter-terrorist financing ("AML/CTF") obligations and regulatory expectations - Outstanding analytical, drafting and organisational skills, with crisp, plain-English writing - Ability to distill complex legal and regulatory issues into clear, actionable guidance for non-lawyer stakeholders - A pragmatic, commercially accountable approach to legal and regulatory risk that gives stakeholders a useful range of options and a clear recommendation - Comfort operating with a high degree of autonomy in a fast-moving, remote, multi-time-zone environment, owning a broad workload from day one     NICE TO HAVES - Experience advising on virtual asset regulation in one or more APAC jurisdictions - Familiarity with the regulation of derivatives (including OTC options), equities and emerging tokenised financial instruments - Experience supporting change-of-control notifications or other regulatory aspects of corporate transactions - Experience with payments, e-money or card regulation - Working proficiency in a second APAC language - An authentic interest in crypto and digital assets, and familiarity with Payward's and competitors' products       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Corporate Counsel, Legal - Global Sales and Business Operations & LATAM San Mateo, CA or Los Angeles, CA | Hybrid - 2 days per week onsite in either our San Mateo or Los Angeles office Full relocation assistance available for qualified candidates Role Summary: Sony Interactive Entertainment seeks a strategic, business-oriented attorney and leader to lead our legal support for the Global Sales and Business Operations (‘GSBO)’ globally and serve as regional leader of legal support for Latin America (‘LATAM’). This role will report directly to the Senior Director for Global Marketing Sales and Business Operations, Legal and will work closely with our San Mateo, CA based legal team, global legal team and outside counsel. In this global role, you will lead a high-performing legal team supporting a wide range of commercial and strategic legal matters involving support to global business teams responsible for the sale and distribution of PlayStation video games, navigating the complex legal landscape of video game distribution, including compliance, negotiation of contracts, and strategy of different models as well as lead regional legal support for LATAM. PlayStation offers the opportunity to work on cutting-edge legal issues at the intersection of technology and entertainment. Come join us and help create world-class experiences that make PlayStation the best place to play. What You’ll Be Doing: Lead and manage a global team of one attorney and two paralegals supporting the GSBO and LATAM organizations. Develop and execute legal strategy supporting leadership of Global Channel Sales, VPs, Senior Directors, and their teams. Serve as primary legal advisor to SIE’s business units in Latin America, including Brazil, Mexico and Argentina, on the wide range of commercial legal issues .Draft and negotiate commercial contracts, distribution/retailer/partner agreements and vendor agreements for the Sales and Business Operations team in the Americas. Provide general legal advice on business and commercial activities, including day-to-day business operations, sales, distribution, marketing, advertising, consumer services, e-commerce, vendor engagement, consumer complaints and litigation. Manage discrete projects and workstreams independently, setting task-level goals and coordinating with business and legal stakeholders to meet deadlines. Work with outside counsel to support the management of consumer complaint cases across LATAM, alongside legal team members. Monitor government affairs and regulatory developments in the region alongside Public Policy and relevant business line lawyers depending on topic. Report to and work closely with Senior Director, GMSBO Legal on direction and strategy. Mentor and provide guidance to attorneys and paralegals on GSBO/LATAM matters, including reviewing work product and building team subject-matter capability. Develop and maintain strong relationships with internal clients and cross-functional stakeholders across business, legal, and corporate functions. Stay current on industry trends, relevant and regional LATAM laws, and SIE’s evolving business and technology landscape. Requires international travel several times a year and domestic US as required for business meetings. What We're Looking For: 12+ years of relevant legal experience, including 3–4 years of in-house experience at a gaming, technology, or entertainment company. JD or LLM from an accredited law school; admitted to practice in at least one U.S. jurisdiction. California Bar membership preferred (or eligibility for California Registered In-House Counsel status). Deep experience in negotiating and drafting commercial agreements. Strong understanding of Latin American law, particularly Brazil and Argentina, as well as US, Canada and Mexico. Experience as a regional lead for Latin America matters is a plus. Written and Spoken fluency in either Spanish or Brazilian Portuguese, preferably both. \ General litigation experience Familiarity with budget tracking or expense management is a plus. Experience working with and managing outside counsel on specific matters. Demonstrated leadership and ability to mentor and guide team members and people management skills with a collaborative leadership style. Proven ability to influence and advise business partners and senior stakeholders. Strategic thinker with a business-friendly mindset and practical approach to risk. Comfortable in a fast-paced environment managing multiple priorities. Excellent interpersonal and communication skills. Passion for gaming, media, and technology industries. Knowledge of the video game industry is desirable. #LI-SF1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $246,700 — $370,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Jordan; Lebanon; Tunisia Workplace: remote About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. We are looking for an IB & Affiliate Manager to join our team and help grow our partner network across key markets, including the Middle East. Responsibilities Search and onboard IBs, affiliates, and ad platforms in your region Support partners through activation and ongoing work Manage CPA, RevShare, Hybrid, and Lot models Monitor partner performance and optimize results Assist in negotiations and deal closure Identify new growth opportunities Requirements From 2 years as affiliate manager or bizdev in Forex/CFD Understanding of regulated broker operations Existing network of IBs/partners in the Middle East is a strong advantage Familiarity with affiliate models: CPA, RevShare, Hybrid Fluency in English Strong communication and structured approach Proactive and results-oriented mindset What we offer Full-time remote role with long-term collaboration (service provider contract). Competitive compensation and performance-based bonuses (paid in EUR directly to your bank account). Flexible working hours. High autonomy in launching marketing campaigns and technical setups. All necessary tools for comfortable and efficient work. Corporate training. A friendly, supportive, and positive working environment where your data-driven decisions directly impact the product. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. RESPONSIBILITIES Building and Operating AI Developer Tools - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction Self-Service Platform - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response Design and Delivery - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship Collaboration and Growth - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools. As a Staff Engineer you will own the technical design and delivery for two areas: AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team. RESPONSIBILITIES Technical Leadership and Architecture - Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap - Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions - Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt - Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools - Design reliable, scalable infrastructure for hosting AI agents and developer tools - Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit - Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals Systems Design and Implementation - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days - Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization - Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management - Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling Strategic Impact and Innovation - Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build - Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction - Improve AI tool performance, cost efficiency, and developer experience through architectural improvements - Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them - Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards Leadership and Mentorship - Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices - Lead design reviews and raise the quality of design and code reviews across the team - Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on - Help the team turn good individual AI-assisted engineering practice into shared workflows and controls - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale - Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Track record of designing and building scalable distributed systems and developer-facing platforms - Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience designing developer tools, platform systems, or internal tools that other teams rely on - Track record of clarifying requirements and constraints with stakeholders before committing to a design - Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority - Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs - Clear written and spoken communication suited to a remote, async-first company - Track record of mentoring other experienced engineers - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience evolving an internal platform or tool into a widely adopted, production-grade service - Knowledge of security, compliance, and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date - Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Get hands-on with the team's services and ship a useful production change - Shadow on-call and learn the operational profile of the team's services - Work with the Senior Manager to agree on initial technical priorities FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant problem, from requirements through to production - Document the architecture, technology choices, and integration patterns for that work, including ADRs - Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant) - Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management - Lead design reviews for your area of the roadmap and begin mentoring other engineers - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker - Deliver at least one material outcome that spans multiple teams or systems - Have multiple production AI tools demonstrating value across Docker's engineering organization - Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction - Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact - Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people Docker considers sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview: The Manager, Operations Service & Partner Development will be responsible for supporting the development, tendering, procurement, and contractual performance management of Sony Interactive Entertainment’s global transportation, warehousing, and logistics operations service partners. Working across AMER, EMEA, ANZ, APAC, and Japan, this role will help ensure SIE has the right service partner network, commercial agreements, service levels, and governance in place to support the needs of the PlayStation business globally. This role will also manage the cross-Operations budgeting process for OPEX and CAPEX, providing budgetary inputs at a CPU level and tracking performance through key budget cycles. What you’ll be doing: Lead and support global tendering activity across transportation, warehousing, and logistics operations service partners, ensuring business requirements are clearly defined, and procurement processes are commercially and operationally robust. Manage tender activity across key service areas including sea freight NVO and BCO tendering, road freight FTL and LTL tendering, air freight tendering, warehouse 3PL RFPs, and 4PL Logistics Control Tower service partner tendering for both B2B and B2C operational Partnerships. Partner with Procurement, Finance, Legal, Logistics, Warehousing, Planning, and regional Operations teams to ensure tender processes deliver the right balance of cost, service, capability, risk, and scalability. Support contractual SLA management for global service partners, acting as an escalation point when issues move beyond day-to-day operational management. Own and coordinate the QBR process with key service partners, ensuring reviews are consistent, data-driven, globally aligned, and focused on performance, service improvement, risk, and future business needs. Manage the cross-Operations budgeting process for OPEX and CAPEX, working closely with Finance and Planning teams to provide accurate budgetary numbers, CPU assumptions, and monthly tracking. Act as a key point of contact for Finance and Planning teams, supporting budget submissions, forecast cycles, variance analysis, and operational cost visibility. Key areas of focus: Service Partner Tendering & Procurement Support and manage global tenders for transportation, warehousing, and logistics operations partners. Lead tender activity across sea freight, road freight, air freight, warehouse 3PL, and 4PL control tower services. Ensure operational requirements are captured clearly and translated into tender documentation and evaluation criteria. Partner with Procurement and Legal to support supplier selection, commercial negotiations, contract development, and implementation. Ensure tender outcomes support PlayStation’s global service, cost, capacity, and growth requirements. Service Partner Management Manage contractual SLA oversight for key operations service partners. Act as an escalation point for service partner issues that require contractual, commercial, or senior operational review. Own the QBR process, ensuring consistent preparation, performance reporting, action tracking, and follow-up. Drive partner alignment to global standards, service expectations, and operational priorities. Identify opportunities to improve partner performance, cost efficiency, service quality, and operational resilience. Liaise closely with Operations teams to ensure their requirements are met and their voices are heard through a highly collaborative, consistent, and regular approach. Operations Budgeting & Cost Management Manage the cross-Operations OPEX and CAPEX budgeting process. Provide budgetary inputs and assumptions at a CPU level. Track monthly performance against budget. Partner with Finance and Planning teams to support forecast accuracy, variance analysis, and cost visibility. Help identify cost risks, opportunities, and efficiency improvements across Operations spend. Global Governance & Reporting Establish consistent governance for tender activity, partner reviews, SLA performance, and budget tracking. Develop reporting packs, performance scorecards, and action logs to support decision-making. Ensure regional requirements are represented while maintaining alignment to global standards. Support the development of a global service partner strategy across transportation, warehousing, and logistics control tower operations. What we’re looking for: 8+ years’ experience in logistics, supply chain, procurement, transportation, warehousing, service partner management, or operations finance. Experience supporting or managing logistics tenders, RFPs, supplier selection, or contract governance. Strong understanding of transportation modes including sea freight, road freight, and air freight. Experience working with 3PL warehouse providers, 4PL/control tower providers, carriers, freight forwarders, or logistics service partners. Strong financial and analytical skills, with experience in budgeting, forecasting, cost tracking, CPU modelling, OPEX, and CAPEX management. Excellent stakeholder management skills across Operations, Procurement, Finance, Planning, Legal, and regional teams. Strong communication and presentation skills, with experience preparing QBRs, scorecards, and performance reviews. Ability to manage multiple global priorities and turn business requirements into practical partner and budget plans. Desirable : BA/BS in Supply Chain, Logistics, Business, Finance, Procurement, or another related field preferred. Experience in Lean toolset is a plus, with a Greenbelt or higher certification desirable. Benefits : Discretionary bonus opportunity Hybrid Working Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Advanced Technology Group The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation®’s first-party game development studios, ATG has always focused on helping game developers get the most out of PlayStation® hardware - a mission that continues to this day. As a team, we are responsible for large parts of the graphics software stack used by all PlayStation® games, and collaborate with leading engineering teams worldwide, from game developers to hardware vendors, to deliver key platform technologies. What you’ll be doing You will be working on Razor GPU, a GPU performance analysis and debugging tool, for current and future PlayStation® platforms. You will be developing GPU Capture and Replay technology, which allows GPU commands, shaders and resources to be captured, analysed and later reinstated, so that graphics frames can be re-executed on the GPU independently from the running game. You will be developing profiling and debugging features upon this core technology, to help game developers worldwide to realize their creative vision and push PlayStation® hardware to its limits. You will be developing internal features used by platform software and hardware teams, to help build and improve the PlayStation® graphics software stack, as well as diagnose low-level platform issues. You will collaborate with game developers and platform engineers to gain a deep understanding of their needs, with a view to creating efficient, reliable and scalable tools, which are a joy to use for new and deeply technical engineers alike. This is a unique senior engineering role at the heart of PlayStation® GPU technology, where you will work within a highly experienced technology-driven team. We are looking for developers who are passionate about their craft, the products they build, and who would like to make a lasting impact on the PlayStation® graphics software stack, its tooling, and its future. What we are looking for Strong problem-solving skills, including the ability to design and implement highly reliable performant systems in C++. Strong debugging skills, including the ability to understand and reason about complex systems, as well as unpick their interactions. Experience developing on consoles, particularly using console graphics and memory management APIs. An interest in GPU architecture and low-level graphics engineering. Experience using GPU profiling and debugging tools. An eagerness to learn and take responsibility of features end-to-end, from building core systems, to influencing end-user UX design. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: California Workplace: onsite Role Overview   We are looking for a Hardware Lab Technician to own the physical side of a large-scale robot data collection operation. You’ll keep the fleet running, build what’s next, and be the person the lab calls when something stops working. This is a hands-on role across research and low-volume production where embodiments, grippers, and camera rigs change fast—and the hardware has to keep up. Day-to-day teleoperation is handled by a dedicated operator team you support; you maintain what they run on and help ensure data quality through reliable, well-calibrated hardware.   Project Details Location: 100% Onsite (Santa Clara, CA, US) Employment: Full-time W-2 Shifts: Monday–Friday, 7AM - 3:30PM or 9AM - 5:30PM  Start Date: ASAP Contract Duration: 12-month contract with possibility of extension Rate: $40 per /hour What You’ll Do Build, wire, and bring up data collection stations — robot arms, multi-camera rigs, workstations, teleoperation hardware, and cable management that survives daily operator use. Keep the fleet running: daily checks, preventive maintenance, calibration routines, and diagnosing faults on arms, hands, and sensors. Swap and integrate end-effectors and grippers, dexterous hands, force/torque and tactile sensors, and RGB-D cameras. Run calibration and firmware procedures across the fleet, and catch drift before it reaches the data. Assemble and iterate prototype hardware coming out of our mechanical and electrical engineers — printed parts, off-the-shelf components, vendor-fabricated parts, and custom harnesses. Soldering, crimping, connectorization, harness building, and PCB rework support at the bench. Own the lab's physical state: spares and consumables inventory, parts kitting, bench and tool organization, and shipping, returns, and RMAs with vendors. Support teleoperators on hardware issues during live collection — triage fast, fix or escalate, and get the station back up. Document what you do. Build sheets, maintenance logs, calibration records, and hardware SOPs the next technician can follow. Help bring up new embodiments and new stations alongside engineers and researchers. What we need to see 3+ years hands-on technician experience in a lab, prototyping, or low-volume build environment — robotics, medical devices, aerospace, semiconductor equipment, or similar. AS in a technical field, a relevant trade or technical certificate, or equivalent hands-on experience. Mechanical assembly fundamentals: fasteners and torque, bearings, belts, linkages, and the ability to read CAD and mechanical drawings (Onshape, SolidWorks, or similar). Electrical hands: soldering including basic SMD rework, crimping and connectorization, harness building, and confident use of a multimeter and oscilloscope. Comfortable in Linux at the command line — SSH into a workstation, run a calibration script, read a log, and tell us what it said. Experience with motors, encoders, and sensor integration, and an understanding of what a bad ground or a marginal cable does to a data stream. Methodical and self-documenting. An undocumented fix is a future outage. Comfortable with ambiguity and frequent change, and able to prioritize when more than one lab needs you at the same time. Able to work on-site in Santa Clara, with flexibility on shift coverage as the labs run extended hours. Ways to stand out from the crowd Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands. Maintenance and calibration on collaborative or industrial arms — UR, Franka, xArm, ARX, or equivalent. Multi-camera rig build and calibration; RealSense, ZED, or Orbbec-class depth cameras. Running and maintaining FDM or SLA printers, and designing your own simple fixtures and adapters. Light scripting in Python or bash to automate a repetitive bench or calibration task. Experience in a high-throughput lab or production line where uptime or yield was a number someone tracked. Vendor-facing experience: RMAs, lead times, and spares planning. Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load. Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.   THE OPPORTUNITY - Design and build the infrastructure layer powering AI agent systems in production - Develop high-performance Rust services that handle model inference, orchestration, and execution - Architect scalable systems capable of supporting millions of users and high request throughput - Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring - Define guardrails, observability, and failure handling for agent-driven workflows - Optimize latency, throughput, and cost across inference and orchestration layers - Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems - Contribute to foundational infrastructure decisions in a high-scale, high-impact environment   WHAT YOU BRING - 5+ years of experience building and operating high-scale production systems - Strong proficiency in Rust and systems-level programming - Deep understanding of distributed systems, reliability engineering, and performance optimization - Experience operating services serving millions of users or high-throughput workloads - Familiarity with ML infrastructure, model serving, or MLOps in production environments - Experience designing observability, monitoring, and failure recovery systems - Strong collaboration skills working across infrastructure and applied engineering teams - High ownership mindset in high-stakes production environment   NICE TO HAVES - Experience building infrastructure for agent-based or LLM-powered systems - Background in high-performance networking, async systems, or low-latency architectures - Experience with container orchestration and cloud-native infrastructure - Familiarity with evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 or platform-building teams Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Software Engineer, Simulation and Modeling - Location: Valencia - Reports to: Reports to: Laboratory Lead & Test Architect - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Software Engineer, Simulation and Modeling, you’ll build the software world the satellites live in (orbits, emitters, signals, truth and scoring) so the whole team can ask “what if” and get a number back. ICEYE is building a space-based RF constellation covering 100 MHz to 30 GHz alongside its SAR fleet, and the Experimentation Lab in Valencia is where we develop, simulate and validate that capability. Customers and our own engineers ask questions we currently answer by hand-waving: what revisit a cluster gives over an area, how many emitters we detect in a crowded scene, how geolocation accuracy moves with cluster spacing or timing error, and what a next-generation architecture choice buys. The answers need a simulation framework that models the constellation and the emitters end to end, generates the signals each satellite would see, and scores what comes out against a known truth. It doesn’t exist yet. You’ll build it, and it will become a tool used by engineers, analysts and customer-facing staff. You’ll work daily with the lab, signal processing and ground segment teams, and you’ll have direct influence on how ICEYE builds and proves this capability. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Model the constellation: orbit propagation, cluster geometry, attitude and pointing, antenna beams, access and contact windows, with spacing and timing as swept variables. - Model the emitters and the theatre: emitters as state machines with real antenna patterns, scan behaviour, modes and duty cycles, placed at order-of-battle density. Start from the lab’s real captures and extend synthetically. - Generate the signals: propagation and link modelling (path loss, delay, Doppler, ionosphere in the low band) and synthetic I/Q per satellite, at a fidelity the RF hardware and the processing chain can consume. - Own the truth together with the processing team: a truth ledger of every simulated emission, position and time, kept out of reach of the system under test, plus the association and scoring that turn a run into detection rate, false-alarm rate, geolocation accuracy and latency. - Drive the hardware together with the RF team: provide the geometry and timing the channel simulator and playback hardware need, so a recorded radar can be heard by three simulated satellites with the right delays and Doppler. - Make it a platform: versioned scenarios, seeded and reproducible runs, provenance on every result, tests, CI, documentation and an interface that non-authors can use. - Answer real questions: capacity, revisit and performance studies for the payload, product and sales teams, and architecture trades for future generations. WHAT WE’RE LOOKING FOR Must haves: - Strong software engineering in Python (and ideally a compiled language): clean architecture, version control, testing, code review, packaging - Experience building a simulation or model of a physical system that others used, and validating it against measurement or real data - Numerical and scientific computing: NumPy/SciPy or equivalent, vectorisation, performance awareness - Working knowledge of at least one of orbital mechanics and access computation, RF link budgets and propagation, or signal processing - Habits that make results reproducible: seeds, configuration management, data provenance - Clear written and spoken English Nice to haves: - Constellation, mission or system-level modeling and simulation (STK, Orekit, GMAT, Basilisk or in-house) - Radar, EW or emitter modeling; scenario or order-of-battle generation - TDOA/FDOA/AoA geolocation or estimation theory - Synthetic I/Q generation, GPU acceleration, or real-time and hardware-in-the-loop interfaces - Cloud-native deployment, containers, workflow orchestration, and data stores for large runs - A simulation framework of yours that outlived your involvement in it - Eligibility for national security clearance (an advantage) What success looks like: - 6 months: a first end-to-end scenario (cluster geometry, a handful of emitters, synthetic I/Q per satellite, truth logged, a first score) is used to answer at least one real capacity or performance question. - 12 months: a reproducible, documented framework runs without you on the team; geometry drives the RF channel simulator; real captures enter scenarios alongside synthetic emitters. - 24 months: the simulation is part of the end-to-end loop with the flatsat and ground pipeline, runs in regression, and backs performance numbers we put in front of customers. APPLICATION PROCESS - Application Screening - TA call - Hiring Manager call - Onsite interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $154,445 - $185.334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote 🚀 Start Date: TBD 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . Must be willing to work at least 50% on-site in Montreal . Candidates willing to permanently relocate to Montreal are strongly preferred. Strong written and verbal communication skills in English are required. French language proficiency is considered an asset. About the Role We are seeking a Senior Orbit Dynamics & Mission Analysis Engineer to lead advanced astrodynamics, orbit dynamics, trajectory optimization, and space mission design and analysis activities. This senior-level role will focus on solving complex orbital mechanics and mission analysis problems through advanced modeling, simulation, optimization, and technical analysis. The ideal candidate will work independently on challenging astrodynamics problems while leading technical analyses and trade studies supporting sophisticated space missions. Key Responsibilities Orbit Dynamics & Mission Analysis Perform advanced orbit dynamics and astrodynamics analysis for space missions. Conduct spacecraft trajectory design and optimization. Apply advanced orbital mechanics and perturbation theory to mission analysis. Perform orbit determination and estimation analysis. Evaluate and optimize mission trajectories using analytical and computational methods. Conduct mission design and architecture analyses across a range of mission scenarios. STK Modeling & Simulation Utilize Systems Tool Kit (STK) extensively for mission analysis and simulation. Apply advanced STK modules, including: Astrogator Optimizer Coverage Communications Develop STK automation and scripting solutions using APIs and STK Connect . Build and maintain mission analysis models and simulations to support technical decision-making. Engineering Tools & Software Develop advanced engineering analysis tools, models, and simulations using Python and MATLAB . Apply computational methods to solve complex astrodynamics and mission analysis problems. Support software development practices, including version control, testing, documentation, and CI/CD. Technical Leadership & Trade Studies Lead complex technical analyses and engineering investigations. Conduct multidisciplinary trade studies evaluating mission architectures and technical alternatives. Independently identify, analyze, and solve challenging astrodynamics problems. Present technical findings, recommendations, and analysis results to engineering stakeholders. Contribute technical expertise to mission design decisions and program development. Required Qualifications Master's degree in Aerospace Engineering, Astronautical Engineering, Physics, Applied Mathematics , or a closely related field. A Bachelor's degree with significant additional relevant experience, typically 9+ years , will also be considered. Minimum 7 years of professional post-graduation experience directly related to: Orbit dynamics Astrodynamics Trajectory optimization Space mission design and analysis Expert-level proficiency with STK , including Astrogator, Optimizer, Coverage, and Communications. Demonstrated experience with STK automation and scripting , including API and STK Connect. Advanced programming proficiency in Python and MATLAB , with experience developing engineering analysis tools, models, or simulations. In-depth theoretical and practical knowledge of: Advanced orbital mechanics Perturbation theory Orbit determination and estimation Trajectory optimization Gradient-based optimization methods Evolutionary optimization methods Proven ability to independently lead technical analyses and complex trade studies. Excellent analytical, critical-thinking, and problem-solving skills. Strong written and verbal communication skills in English. Preferred Qualifications Ph.D. in Aerospace Engineering or a closely related field with a focus on astrodynamics or orbital mechanics. Experience with additional mission analysis and simulation environments such as: GMAT FreeFlyer Orekit SPICE Experience with C/C++ programming. Experience with spacecraft Guidance, Navigation, and Control (GNC) analysis or design. Experience with multi-body dynamics. Experience supporting large satellite constellations. Experience with satellite operations, particularly flight dynamics activities . Experience with software development best practices, including Git, software testing, technical documentation, and CI/CD . Publications or conference presentations in astrodynamics, orbital mechanics, or related fields. What We're Looking For We’re looking for a senior astrodynamics and mission analysis expert who can independently tackle complex orbital mechanics problems and provide technical leadership on advanced space missions. The ideal candidate combines deep theoretical knowledge with hands-on experience using STK, Python, and MATLAB , along with a proven ability to turn sophisticated mission analysis problems into practical engineering solutions. Experience with advanced trajectory optimization, orbit determination, GNC, constellation dynamics, or flight dynamics operations will be highly valuable.

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Lisbon, Portugal Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Remote Portugal, Portugal Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.