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Location: United States ABOUT THE ASSIGNMENT The Contract Lead R&D Technician facilitates daily workflow and task allocation for technical builds, setting operational priorities and assigning tasks based on dynamic project needs. This hands-on role actively supports the assembly, integration, and troubleshooting of complex AUVs and electromechanical systems while rigorously adhering to all safety protocols. The contractor serves as a primary technical point of contact, interfacing regularly with engineering teams to provide vital technical feedback and progress updates, and aligning with production stakeholders to meet milestone requirements. WHAT YOU’LL DO · Contribute to all stages of the vehicle product development and manufacturing life cycle, providing technical feedback to the engineering team. · Build, integrate, and test complex electro-mechanical assemblies into world-class AUV systems. · Apply competency in the use of hand tools, assembly tooling, and general manufacturing equipment. · Complete necessary transactions in computer production systems (MES, NetSuite, JIRA) on a daily basis. · Provide technical guidance, knowledge transfer, and process support to operators as needed. · Maintain focus and momentum to drive milestones to on-time completion. · Manage multiple priorities, organize build workflows, and meet scheduled project deadlines. · Interface with the Production Supervisor and collaborate with other technicians, providing day-to-day technical task coordination for the production and delivery of various commercial and development products. · Apply advanced knowledge and skills in hardware assembly, troubleshooting, and repair during manufacturing operations. · Coordinate workflow priorities for operators to achieve target on-time delivery goals and ensure project milestones stay on schedule. · Participate in 5S and continuous improvement initiatives; provide constructive feedback on ways to optimize the assembly process. · Foster a collaborative working environment that supports technical excellence, knowledge sharing, and cross-functional support. REQUIRED QUALIFICATIONS · 7+ years of electronics experience in an R&D/prototyping environment. · Demonstrated ability to execute complex R&D tasks independently with minimal direct oversight. · Extensive experience building and troubleshooting cables, harnesses, and connectors. · Proficiency in soldering, crimping, and mechanical cable assembly. · Working knowledge of the product life cycle (NPI to scaled production) and LEAN manufacturing principles. · Highly organized, dependable, and detail-oriented with strong written and verbal communication skills. · Familiarity reading and interpreting electrical schematics and component drawings. · Hands-on experience with standard electronics test equipment (power supplies, electronic loads, oscilloscopes, function generators, DAQ systems, and measurement sensors). · Ability to adapt quickly between tasks and balance concurrent technical priorities in a fast-paced environment. · Eligibility to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS · Experience with machining, sheet metal fabrication, and 3D printing. · Demonstrated ability to collaborate effectively across cross-functional engineering and manufacturing teams. · Experience testing items ranging from small integrated electronics assemblies to large vehicle structures. · Experience building test setups and executing test procedures to validate design iterations. · Prior material handling/hoisting experience or MA state hoisting license (overhead gantry, rigging). · Prior experience in subsea robotics (AUVs, UUVs, or marine/underwater systems). Contract Rate: $41.00 – $54.00/hr (dependent on experience)

Location: United States 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 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 Python skills and the ability to reason about systems performance and reliability - 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 with Rust - 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 X 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 ABOUT THE ASSIGNMENT We are seeking an experienced Contract Manufacturing Test Technician to support operations in Quonset, RI. In this engagement, you will work hands-on with cutting-edge technology aimed at advancing the state-of-the-possible in subsea robotics. You will support customer delivery milestones by interfacing with the engineering and operations teams in a multidisciplinary environment to assist in scaling AUV production. This contract scope focuses on executing tests on complex electromechanical assemblies and integrating verified hardware into final platforms. SCOPE OF WORK (DELIVERABLES) · Collaborate with multidisciplinary engineering and operations personnel on pressure vessel assembly and testing as part of overall AUV integration milestones. · Perform device configuration tasks, including flashing and loading specified SW/FW versions onto target hardware. · Build, test, and integrate complex electrical and mechanical assemblies into AUV systems. · Execute detailed subsystem End-of-Line (EOL) tests according to prepared test procedures and documentation. · Conduct incoming quality inspection testing on printed circuit board assemblies (PCBAs). · Troubleshoot, diagnose, and repair electrical, electronic, and integrated circuits down to the component level. · Support the refinement, documentation, and continuous improvement of pressure vessel production and test processes. · Maintain 5S standards across test benches/work areas, conduct physical part inspections, close out assigned work orders, and adhere strictly to facility safety protocols. · Assist with equipment upkeep, calibration tracking, tooling organization, and lab inventory maintenance. · Provide potential travel support for offshore field operations, testing, or vessel trials as project requirements dictate. REQUIRED QUALIFICATIONS · Solid technical background in electronics within relevant industries (Robotics, Defense, Aerospace, Avionics). · Proven track record of preparing, setting up, and executing rigorous test procedures with high attention to detail. · Working knowledge of core electrical engineering concepts and circuit theory. · Proficiency in reading and working directly from technical documentation, electrical schematics, wiring diagrams, and engineering drawings. · Demonstrated commitment to hardware reliability, test integrity, and personal accountability for deliverables. · Hands-on proficiency with standard electrical test equipment (DMMs, oscilloscopes, benchtop power supplies, function generators, etc.). · Strong organizational, documentation, and detail-oriented technical execution skills. · Clear and effective written and verbal communication skills. · Ability to work independently with initiative, adaptability, and high drive toward project deadlines. · Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS · Prior experience in subsea robotics (AUVs, UUVs, or marine/underwater equipment). · Demonstrated experience safely handling electrical systems operating up to 400VDC. · Hands-on subsea cable splicing, potting, or custom harness fabrication experience. · Experience with hydrostatic test setups, pressure vessels, and/or high-pressure pneumatic/hydraulic systems. · Current or past IPC-A-610 and/or IPC/WHMA-A-620 certifications. · Familiarity with low-volume, high-mix (LVHM) or prototype-to-production manufacturing environments. CONTRACT HOURLY RATES · $25.00 – $37.00/hour (commensurate with demonstrated skills and experience)

Location: Valencia Workplace: OnSite Role highlights: - Title: Systems and Software Verification Technician - Department: Global Manufacturing Organisation - Reports to: Head of MAITE Spain - Location: Valencia, Spain - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Systems and Software Verification Technician, you play a vital role in bringing every satellite that reaches our Valencia production line to operational readiness. You will own the first power-on, initial software and firmware loading, and end-to-end systems verification of fully integrated SAR satellites, running automated functional, power, and bus test campaigns, diagnosing issues at the boundary between software, firmware, and electronics hardware, and ensuring configuration control on final activities. Your work lets test campaigns run independently on the line, without pulling engineers away from other teams. 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 - Execute initial satellite power-on, firmware flashing, and subsystem communication verifications. - Run, debug, and execute automated functional, power, and bus test scripts using Python, Shell, and Linux environments. - Work with Git repositories to manage test code, track updates, and verify software builds. - Operate mechanical and electrical ground support equipment (GSE), and troubleshoot electronic hardware, power distribution, and digital interface issues using lab instruments (oscilloscopes, power supplies, multimeters). - Diagnose whether an anomaly is a test setup issue or a genuine unit fault, and raise non-conformance reports (NCRs) in Jira. - Maintain detailed test logs and accurate documentation, and ensure configuration control on final activities. - Assist in managing activities related to satellite launch campaigns. - Actively contribute to continuous improvement initiatives - procedures, processes, tools, test automation, and 6S. - Assist in training and mentoring junior technicians, and communicate proactively with team members and supervisors regarding any challenges or obstacles. - Work closely with the RF Senior Technician, AIT Engineering, and Quality, ensuring clear communication so that satellite build-phase deadlines and technical specifications are met. What we’re looking for Must haves: - Relevant university degree in Aeronautical Engineering, Space Studies, Applied Physics, Electronics, or similar, or equivalent hands-on experience in a related role. - 4+ years of hands-on experience setting up, debugging, and running real test benches and satellite systems or interfaces, not just executing someone else’s scripts. - Proficient in a Linux environment, comfortable modifying and debugging Python scripts, and working with Git. - Systems thinking across avionics, power, and software, enough to tell a test setup fault from a genuine unit fault. - Experience using lab equipment such as power supplies, multimeters, and oscilloscopes. - Excellent communication skills, with particular attention to detail in procedures, preparation, and execution. - Ability to read and interpret technical drawings, assembly instructions, and schematics. - Proficient in English, both written and spoken, to ensure clear communication in a cross-functional environment. Nice to haves: - ICEYE-specific test frameworks, satellite bus specifics, Jira and MES flow, and launch campaign procedures. - Space or satellite AIT (Assembly, Integration, and Testing) background. - Experience with environmental testing (e.g. vibration/shaker rigs, thermal testing). - Experience using Atlassian Cloud (Jira, Confluence). - Lean & Six Sigma experience. Application Process - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Final 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: Quincy, United States WHAT YOU’LL DO Contribute to all stages of the vehicle product development and manufacturing life cycle, providing technical feedback to the engineering team. Build, integrate, and test complex electro-mechanical assemblies into world-class AUV systems. Apply competency in the use of hand tools, assembly tooling, and general manufacturing equipment. Complete necessary transactions in computer production systems (MES, NetSuite, JIRA) on a daily basis. Provide technical guidance, knowledge transfer, and process support to operators as needed. Maintain focus and momentum to drive milestones to on-time completion. Manage multiple priorities, organize build workflows, and meet scheduled project deadlines. Interface with the Production Supervisor and collaborate with other technicians, providing day-to-day technical task coordination for the production and delivery of various commercial and development products. Apply advanced knowledge and skills in hardware assembly, troubleshooting, and repair during manufacturing operations. Coordinate workflow priorities for operators to achieve target on-time delivery goals and ensure project milestones stay on schedule. Participate in 5S and continuous improvement initiatives; provide constructive feedback on ways to optimize the assembly process. Foster a collaborative working environment that supports technical excellence, knowledge sharing, and cross-functional support. REQUIRED QUALIFICATIONS 7+ years of electronics experience in an R&D/prototyping environment. Demonstrated ability to execute complex R&D tasks independently with minimal direct oversight. Extensive experience building and troubleshooting cables, harnesses, and connectors. Proficiency in soldering, crimping, and mechanical cable assembly. Working knowledge of the product life cycle (NPI to scaled production) and LEAN manufacturing principles. Highly organized, dependable, and detail-oriented with strong written and verbal communication skills. Familiarity reading and interpreting electrical schematics and component drawings. Hands-on experience with standard electronics test equipment (power supplies, electronic loads, oscilloscopes, function generators, DAQ systems, and measurement sensors). Ability to adapt quickly between tasks and balance concurrent technical priorities in a fast-paced environment. Eligibility to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS Experience with machining, sheet metal fabrication, and 3D printing. Demonstrated ability to collaborate effectively across cross-functional engineering and manufacturing teams. Experience testing items ranging from small integrated electronics assemblies to large vehicle structures. Experience building test setups and executing test procedures to validate design iterations. Prior material handling/hoisting experience or MA state hoisting license (overhead gantry, rigging). Prior experience in subsea robotics (AUVs, UUVs, or marine/underwater systems).

Location: Quonset Point, United States SCOPE OF WORK (DELIVERABLES) Collaborate with multidisciplinary engineering and operations personnel on pressure vessel assembly and testing as part of overall AUV integration milestones. Perform device configuration tasks, including flashing and loading specified SW/FW versions onto target hardware. Build, test, and integrate complex electrical and mechanical assemblies into AUV systems. Execute detailed subsystem End-of-Line (EOL) tests according to prepared test procedures and documentation. Conduct incoming quality inspection testing on printed circuit board assemblies (PCBAs). Troubleshoot, diagnose, and repair electrical, electronic, and integrated circuits down to the component level. Support the refinement, documentation, and continuous improvement of pressure vessel production and test processes. Maintain 5S standards across test benches/work areas, conduct physical part inspections, close out assigned work orders, and adhere strictly to facility safety protocols. Assist with equipment upkeep, calibration tracking, tooling organization, and lab inventory maintenance. Provide potential travel support for offshore field operations, testing, or vessel trials as project requirements dictate. REQUIRED QUALIFICATIONS Solid technical background in electronics within relevant industries (Robotics, Defense, Aerospace, Avionics). Proven track record of preparing, setting up, and executing rigorous test procedures with high attention to detail. Working knowledge of core electrical engineering concepts and circuit theory. Proficiency in reading and working directly from technical documentation, electrical schematics, wiring diagrams, and engineering drawings. Demonstrated commitment to hardware reliability, test integrity, and personal accountability for deliverables. Hands-on proficiency with standard electrical test equipment (DMMs, oscilloscopes, benchtop power supplies, function generators, etc.). Strong organizational, documentation, and detail-oriented technical execution skills. Clear and effective written and verbal communication skills. Ability to work independently with initiative, adaptability, and high drive toward project deadlines. Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS Prior experience in subsea robotics (AUVs, UUVs, or marine/underwater equipment). Demonstrated experience safely handling electrical systems operating up to 400VDC. Hands-on subsea cable splicing, potting, or custom harness fabrication experience. Experience with hydrostatic test setups, pressure vessels, and/or high-pressure pneumatic/hydraulic systems. Current or past IPC-A-610 and/or IPC/WHMA-A-620 certifications. Familiarity with low-volume, high-mix (LVHM) or prototype-to-production manufacturing environments.

Location: Europe Workplace: Remote Asymmetric Research: Asymmetric Research is a specialized security firm focused on long-term, integrated partnerships with L1/L2 blockchains and DeFi protocols. We help teams build resilient systems, strengthen security posture, and proactively address emerging threats. Culture: AR is a fully remote organization and members of our team have been strongly committed to open-source values for decades, having worked at organizations with deep open-source roots and strong security programs including Google, Netflix, Mozilla, Stripe, and Jump Crypto. We pride ourselves on maintaining the highest levels of confidentiality, trust, and professionalism. About the Role: We are looking for a Site Reliability Engineer to join Asymmetric Research. In this role, you will design, operate, and scale mission-critical blockchain infrastructure supporting leading L1/L2 networks and DeFi protocols, working within a high-trust team to deliver secure, highly available, production-grade systems while driving automation, reliability, and operational excellence across our globally distributed environments. Responsibilities: - Manage and maintain a globally distributed blockchain infrastructure fleet - Design, architect, deploy, and operate production-grade infrastructure services - Implement and maintain infrastructure-as-code across development, staging, and production environments - Ensure high availability and performance of mission-critical systems - Contribute to automation, CI/CD pipelines, and operational tooling - Monitor system health and respond to incidents with strong troubleshooting fundamentals - Uphold the highest standards of integrity, professionalism, and operational discipline What we're looking for: - 2+ years of experience in a Site Reliability, DevOps, or Infrastructure Engineering role - Strong experience managing Linux systems and network infrastructure - Hands-on experience with load balancers and high-availability technologies (e.g., HAProxy, ALB/ELB) - Experience with configuration management tools (e.g., Ansible, Chef, Puppet, SaltStack) - Solid troubleshooting skills across hardware, networking, and software systems - Development experience in Go, Python, or Rust - Experience building and maintaining CI/CD pipelines and automated deployment workflows - Experience with open-source monitoring and observability tools (e.g., Grafana, Loki, Prometheus, Alertmanager) Good to have, not required: - Experience operating distributed systems using tools such as Nomad or Kubernetes - Familiarity with blockchain infrastructure, including Bitcoin, Ethereum, Solana, Cosmos, or Move-based ecosystems Benefits: - 25+ days of paid time off - Comprehensive stipends for home office, wellbeing, professional development, and more - Pension/401(k) programs - Life insurance - Premium healthcare - Competitive base salary - Lucrative bonus programs

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll own the products that help loveholidays grow direct relationships with hotels. By making it easier for partners to join us, manage their supply and improve their performance, you’ll help hotels achieve their commercial goals while giving our customers greater choice and value. Our ambition is to build an industry-leading operating system for our suppliers: bringing together onboarding, day-to-day management and the insights partners need to make better commercial decisions. You’ll help turn that ambition into a clear product direction. Your initial focus will be simplifying hotel onboarding and improving how effectively we turn direct hotel supply into bookings. You’ll be part of the Direct Hotels team, reporting to the Head of Product for Supply Platform. Working closely with Engineering, Design, Commercial, Operations and Analytics to build capabilities for hotel partners that support our broader supply strategy. The team sits within Platform, which provides shared technology and tools to help teams across loveholidays deliver the outcomes that drive value for our suppliers and experiences that delight our customers. Your day-to-day: - Own the product direction and roadmap. Translate the Direct Hotels ambition into prioritised opportunities, clear outcomes and achievable delivery increments. Make informed trade-offs between supplier needs, commercial value and technical investment. - Understand the people using our products. Work directly with hotel partners, contracting teams and loading operations to uncover problems, test ideas and understand what will drive adoption. - Improve the journey from onboarding to bookable supply. Simplify how information is collected, checked and maintained, using automation and self-service where they make the experience easier to navigate and more reliable. - Build towards supplier self-service. Develop capabilities that progressively give hotels more control over their relationship with us, working towards connected management tools and useful commercial insights. - Take products from discovery through to measurable impact. Work closely with Engineering and Design to prototype, test, deliver and iterate. Explore practical applications of AI, define success measures and use evidence from adoption, supplier feedback and commercial performance to guide what comes next. Your skillset: - Product ownership and strategic delivery: A track record of taking complex problems from discovery through to delivery and demonstrating meaningful user and business outcomes. The ability to connect a long-term vision to the next useful improvement, navigate uncertainty and drive delivery. - Supplier and user understanding: The ability to understand different users’ goals and turn complicated workflows into useful, intuitive products. Experience with B2B, supplier, partner or marketplace products would be particularly valuable. - Commercial and analytical judgement: Confidence connecting product decisions to growth, margin and operating costs, while considering value for both hotel partners and holidaymakers. Experience defining success measures, investigating performance and using data alongside qualitative research to make decisions. - Communication and technical fluency: Clear communication and the ability to align commercial, operational and technical colleagues around priorities, decisions and outcomes. Comfortable discussing APIs, integrations, data and platform constraints with Engineering. - Experimentation and AI curiosity: A practical approach to testing ideas and applying new capabilities, including examples of how you have used or evaluated AI to improve products or ways of working. Experience in hotel distribution or travel technology would be welcome, but is not essential. We’re also interested in people who have solved comparable supplier, marketplace or operational challenges in other industries. The interview journey: - Talent intro, 30 minutes - First stage with the hiring manager, 45 minutes - Final stage with key stakeholders, including a platform case to present, 1 hour - Behavioural and culture conversation with the VP of Product, 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

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. Sony Interactive Entertainment Security Architecture | Cloud | AI Security | Enterprise Platforms We are seeking a Staff Security Architect to help shape and secure the next generation of enterprise, cloud, platform, and AI-enabled technology. This role combines deep security architecture expertise with strong engineering judgment and the ability to influence technical direction across complex, global environments. The successful candidate will partner with engineering, infrastructure, product, and security teams to identify systemic risk, develop scalable security patterns, and guide secure adoption of emerging technologies, including generative AI and agentic systems. Key Responsibilities Design, review, and approve security architecture for enterprise, cloud, SaaS, platform, and application environments, balancing business objectives, engineering constraints, and risk. Lead cloud security architecture across AWS, Google Cloud, and hybrid environments, including identity, network security, data protection, logging and monitoring, key management, workload isolation, security posture management, and the effective use of native and third-party cloud security controls. Define and review security architecture for SaaS and PaaS platforms, including identity federation, privileged access, tenant configuration, data protection, API and integration security, logging, third-party risk, and secure adoption of enterprise SaaS services. Drive security throughout the software delivery lifecycle, including source control, CI/CD pipelines, build systems, artifact repositories, infrastructure as code, secrets management, code and artifact signing, software provenance, deployment automation, and security controls for developer platforms. Lead security architecture for AI-enabled systems, including generative AI, large language models, retrieval-augmented generation, AI agents, model-serving platforms, and AI-assisted developer workflows. Design mitigations for risks such as prompt injection, insecure tool use, excessive agency, sensitive-data disclosure, model or supply-chain compromise, unsafe output handling, and abuse of AI services. Define security requirements for AI data, models, prompts, embeddings, vector stores, APIs, tools, and agent identities, including least-privilege access, secrets management, encryption, isolation, provenance, logging, monitoring, and lifecycle controls. Architect and improve identity, authentication, authorization, network security, key management, cryptography, application security, and production security controls across complex environments. Identify security design gaps in existing and proposed systems; translate findings into practical architecture improvements, reference patterns, hardening standards, preventative controls, and responsible automation that improves repeatability and operational effectiveness. Provide technical leadership across multi-disciplinary teams, clearly articulating risks, tradeoffs, and recommended solutions to engineering leaders, business stakeholders, and audiences without a security background. Required Qualifications 15+ years of relevant experience in security architecture, security engineering, product security, cloud security, infrastructure security, or related disciplines, with demonstrated leadership at senior or staff level. Deep knowledge of security architecture principles across cloud, application, network, identity, platform, infrastructure, and enterprise environments. Hands-on experience designing or securing cloud-based and containerized environments, including major cloud platforms such as AWS or Google Cloud. Strong understanding of modern identity and access management, PKI, OAuth/OIDC, SAML, TLS, VPNs, secrets management, key management systems, cloud KMS, and HSMs. Expertise in network and application security controls such as WAFs, NGFWs, segmentation, DMZ design, DDoS mitigation, load balancing, proxies, intrusion detection/prevention, and host-based controls. Experience with secure software development, threat modeling, CI/CD and developer platforms, application security, and engineering mitigations across the software lifecycle. Working knowledge of AI/ML security concepts and the ability to evaluate security risks in generative AI, LLM, and agentic system architectures, including data flows, trust boundaries, model access, and tool integrations. Strong critical thinking, risk prioritization, communication, and influence skills, with the ability to lead through ambiguity and work effectively across global, cross-functional teams. Bachelor's degree in Computer Science, Mathematics, Engineering, Information Security, or equivalent practical experience. Preferred Qualifications Experience securing AI/ML platforms, generative AI applications, model gateways, RAG architectures, vector databases, or agentic workflows in production environments. Experience with AI security evaluation, red teaming, adversarial testing, model abuse testing, or control validation for AI-enabled systems. Experience securing large-scale Linux, distributed, multi-tenant, or high-availability production environments. Development or automation experience in Python, C++, Java, or similar languages. Recognized technical leadership through patents, publications, open-source contributions, conference participation, teaching, or security community involvement. Penetration testing, adversarial security, or attacker-minded design experience. Master's degree or Ph.D. in Computer Science, Mathematics, Engineering, Information Security, or a related field. 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 (where applicable) 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: US: San Mateo (1875 South Grant Street); CAN: Toronto (111 Richmond Street West); CAN: Vancouver (333 Seymour St); US: Washington Remote Worker Workplace: Hybrid Team: Accounting Core Location / work arrangement: San Francisco, San Mateo, Seattle & Vancouver (Canada) Employment type: Full Time About the Role Xero’s ledger is the source of truth for millions of businesses, and every product we ship is built on top of it. We are rebuilding this integrity layer for the next 20 years, and we are standing up the Vancouver engineering hub around it from day one. As Lead Engineer, you will make the architectural decisions that set the course for the platform and the team, and you will see those decisions reach every customer who depends on Xero to get their numbers right.   THE TECHNICAL CHALLENGES - Correctness at scale. Accounting data has to be consistent, auditable, and immutable. There is no “close enough,” and every change to the ledger has to preserve that guarantee across regions and regulations. - Evolving a mature system. We are adding real-time expectations to a platform that millions of businesses depend on daily. That means strengthening service boundaries and clarifying data contracts without compromising reliability. - Durable, high-throughput services. We use durable execution (for example, Temporal) to keep long-running financial workflows accurate and recoverable under load. - AI-ready data. We are structuring accounting data so it can power AI-native experiences while maintaining trust in the numbers.   IMPACT - First six months: You understand the ledger and its consumers, align the team on service boundaries and data contracts, and ship a first modernization increment with no loss of data integrity. - First twelve months: - You have set the architecture for the core accounting capabilities (general ledger, journals, chart of accounts, multi-currency). - The Vancouver engineering team has clear ownership and quality standards, thanks in part to your leadership and role modeling. - Your work reaches customers through every product built on the ledger, and the decisions made now will shape Xero for years.   OWNERSHIP You will own the technical direction for your area of the accounting platform, from design through production and on-call. You will make architectural decisions on service boundaries, data contracts, and technology choices without needing sign-off, and you will be accountable for reliability and data integrity end to end. You will also help set hiring, quality, and ownership practices for an early and growing team, which will compound over time.   WHO YOU’LL WORK WITH Bernardo Farah is the Director of Engineering for Accounting Core. He has over 10 years of SaaS software experience, including six years building platforms and growing teams at Samsara. WHAT YOU BRING MUST-HAVE: - You set the standard for your team in AI-assisted development, operational excellence, and flexible architecture. - A track record delivering highly available, distributed backend systems and designing high-throughput services under production constraints. - Depth in system architecture, API design, and both SQL and NoSQL databases - Proficiency in a modern backend stack such as C#, Java, Go, or C++, plus cloud-native platforms like AWS. - You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results. NICE TO HAVE: - Experience with financial, ledger, or accounting systems, or other domains where data integrity is critical - Experience with durable execution or workflow engines such as Temporal - Experience modernizing a mature system without disrupting customers   HOW WE WORK Process is a tool for impact and we adjust accordingly. We use an agile approach to ship outcomes, not to follow ceremony. Code and design reviews are where we trade ideas and hold the quality bar, and we are figuring out how to use LLMs to reduce how much code humans have to write and review by hand. Our on-call rotation draws on a healthy pool of engineers and turns incidents into learning through postmortems. Decisions are made at every level, and we make sure everyone has the strategic context to raise proposals and drive innovation.     Our Hiring Process - Stage 1: Real World coding assessment, 45 Mins - Stage 2: Systems Design assessment, 45 Mins - Stage 3: Technical Deep dive, 60 Mins - Stage 4: Values/ Future Proof, 60 Mins - Stage 5: Leadership interview, 60 mins   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - California: $206,000 USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk. EXAMPLE INITIATIVES - How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/ - Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts - Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived RESPONSIBILITIES Team Leadership and Culture - Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise - Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence - Provide regular coaching, feedback, and career development support to your direct reports - Own on-call health for the team’s services, including escalation paths and follow-through on incidents Technical Direction - Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events - Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them - Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files - Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on - Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network - Review designs and code across the area, and take on hands-on work where it unblocks the team - Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team Cross-Functional Partnership - Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need - Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs - Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on - Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability - Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership REQUIREMENTS - Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management - Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions - Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts - Understanding of how container images are structured, stored, and delivered at scale - Strong written and verbal communication skills, with the ability to influence without authority across teams NICE TO HAVE - Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects - Familiarity with lazy-loading snapshotters or peer-to-peer image distribution - Experience with EROFS, FUSE, ublk, or io_uring - Experience building or operating CDN, object storage, or large-scale caching infrastructure - Experience running storage services on Kubernetes BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

- Берёт ответственность за качество крупного модуля или продукта, в том числе при неполных и неоднозначных требованиях. - Глубокий опыт тестирования сложных web/backend/API и интеграционных систем, включая работу с неполными или неоднозначными требованиями.

Поддержка и развитие CI/CD пайплайнов (GitLab CI - основной, Jenkins). Миграция и деплой приложений в Kubernetes.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Cloud Platform Engineer An overview of this role As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services. What you’ll do Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle. Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments. Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection. Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability. Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity. Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements. Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure. Experience with Argo CD or comparable GitOps tooling, such as Flux. Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design. Ability to write scripts and automation in Python, Bash, or Go. Familiarity with Helm for Kubernetes package management. Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts. Clear written and verbal communication, with the ability to document systems and collaborate across teams. Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications. About the team The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,000 — $194,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: US, Boston, MA 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 As a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact. WHAT YOU’LL DO - Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems. - Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems. - PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics. - Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance. - Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation. - Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges. - Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance. WHAT WE'RE LOOKING FOR - Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems. - Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies. - Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout. - Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs. - Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers. - Experience with Python, C++, LabView, or MATLAB for automation and testing. - Knowledge of SolidWorks or similar mechanical CAD tools. - Familiarity with Verilog or VHDL for hardware design and simulation. - Experience in building Linux kernels and modifying or writing device drivers. Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you! WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Meaningful equity with 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 Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains.  We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.  As a Staff Software Engineer, you’ll drive important features and provide other engineers with a clear illustration of extraordinary engineering. The UnEco (or Unreal Ecosystem) team has an impact on a wide array of topics, including  audio, test automation, runtime performance, tooling, and CI/CD. As a Staff Software Engineer on the UnEco team, you’ll gain organizational alignment by building a strong engineering vision and offering creative solutions to technical problems. You will also serve as a mentor for your fellow engineers, helping guide their performance and finding growth opportunities delivering compelling player experiences. As a specialist in Performance, you will be leveraging your deep experience and expertise in profiling, benchmarking, optimization, and performance analysis to help game teams solve complex challenges hands-on and deliver central solutions. Responsibilities: Be hands-on in development, writing excellent code that sets a high standard for other engineers. Work with leadership on prioritization of work efforts and identifying opportunities for impact. Partner with game teams to diagnose issues and improve player-facing performance. Partner with infrastructure teams to analyze and drive recommendations around bandwidth optimization, server density, resource utilization, etc. Improve and optimize the developer experience, including improving cook and build times, editor load times, and understanding and fixing developer pain points. Lead the technical execution of multi-month to year-plus work efforts across the business unit, holding teams to established standards. Help teams navigate ambiguity and complexity by breaking down problems, identifying risks, and clearly communicating trade-offs. Work on a range of tech stacks including underlying infrastructure, build and test automation, release pipelines, and developer tooling for internal teams leveraging the Riot Unreal Ecosystem. Work with stakeholders across the organization to address their pain points and exceed their expectations for how optimization and performance improvements can be realized without sacrificing quality. Be a standard-bearer and role model of Riot values for your team and others. Be a force multiplier for your team Mentor senior engineers on your team and enable them to deliver complex projects. Required Qualifications: 5+ years of software engineering experience Expertise with C++ Experience working with modern video game engines Experience working with large game teams Experience working with large code bases Experience debugging, profiling and optimizing complex projects Strong knowledge of common game and software design patterns Experience collaborating with teammates across multiple disciplines Experience shipping games across multiple platforms Experience with profiling tools like Unreal Insights or Pix Desired Qualifications: Experience with Unreal Engine 5 Experience building online games Experience with rendering in Unreal Engine titles For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains.  We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.  As a Staff Software Engineer, you’ll drive important features and provide other engineers with a clear illustration of extraordinary engineering. The UnEco (or Unreal Ecosystem) team has an impact on a wide array of topics, including  audio, test automation, runtime performance, tooling, and CI/CD. As a Staff Software Engineer on the UnEco team, you’ll gain organizational alignment by building a strong engineering vision and offering creative solutions to technical problems. You will also serve as a mentor for your fellow engineers, helping guide their performance and finding growth opportunities delivering compelling player experiences. The ideal candidate in this role will bring substantial experience in both performance optimization and tooling, enabling them to be versatile across both partnering with game teams to deliver solutions to complex performance issues and provide central tooling solutions to help teams deliver faster and with more confidence. Responsibilities: Be hands-on in development, writing excellent code that sets a high standard for other engineers. Work with leadership on prioritization of work efforts and identifying opportunities for impact. Partner with game teams to diagnose issues and improve player-facing performance. Partner with infrastructure teams to analyze and drive recommendations around bandwidth optimization, server density, resource utilization, etc. Improve and optimize the developer experience, including improving cook and build times, editor load times, and understanding and fixing developer pain points. Lead the technical execution of multi-month to year-plus work efforts across the business unit, holding teams to established standards. Help teams navigate ambiguity and complexity by breaking down problems, identifying risks, and clearly communicating trade-offs. Work on a range of tech stacks including underlying infrastructure, build and test automation, release pipelines, and developer tooling for internal teams leveraging the Riot Unreal Ecosystem. Work with stakeholders across the organization to address their pain points and exceed their expectations for how optimization and performance improvements can be realized without sacrificing quality. Be a standard-bearer and role model of Riot values for your team and others. Be a force multiplier for your team. Mentor senior engineers on your team and enable them to deliver complex projects. Required Qualifications: 5+ years of software engineering experience Expertise with C++ Experience working with modern video game engines Experience working with large game teams Experience working with large code bases Experience debugging, profiling and optimizing complex projects Strong knowledge of common game and software design patterns Experience collaborating with teammates across multiple disciplines Experience shipping games across multiple platforms Experience with profiling tools like Unreal Insights or Pix Experience with tools engineering to support internal development Experience building and maintaining developer tools that improve engineering productivity and enable efficient software development across teams. Desired Qualifications: Experience with Unreal Engine 5 Experience building online games Experience with rendering in Unreal Engine titles For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.