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Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About Solutions Engineering at Cloudflare The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. Job Title: Partner Solutions Architect (PSA) Service Providers. Role Overview LOCATION Dallas, NY New Jersey, Denver or Seattle. The Partner Solutions Architect (PSA) is a high-impact, strategic technical leader responsible for driving the comprehensive pre-sales and post-sales technical relationship with our top-tier Global and GEO Partners, including Service Providers (SPs) and Managed Service Providers (MSP) In this elite role, you will act as the principal architect and single point of technical alignment, collaborating at the executive and enterprise architect level to drive joint global GTM strategy and design repeatable reference architectures. The role focuses heavily on scaling Cloudflare One (SASE/SSE) and AI Infrastructure (Workers AI, AI Gateway) globally, embedding Cloudflare into global partner practices, and unlocking massive Partner-Influenced Opportunity (PIO). Key Responsibilities 1. Pre-Sales Architecture, Strategy & Champion Building Global CF1 & AI Technical Alignment, GTM Strategy: Own the overarching technical relationship with top-tier Global/GEO partners to align on building and launching repeatable, global Go-To-Market (GTM) strategies. Accelerate the partner’s global technical capabilities, enabling their enterprise architects to lead discovery and scale secure, resilient, and repeatable architectures leveraging the Cloudflare Platform with a strong focus on AI and Cloudflare One (CF1). Technical Account Plan Ownership: Own and drive the end-to-end Technical Account Plan (TAP) for assigned top-tier strategic Global GSIs and SPs. Act as the principal architect mapping global partner business initiatives to technical execution milestones, ensuring continuous alignment on large-scale CF1 and AI adoption targets. Cultivating Global Technical Champions: Identify, enable, and cultivate executive-level technical advocates, practice leads, and "Champions" within the global partner organization to scale Cloudflare expertise independently, generate large-scale Partner-Influenced Opportunities (PIO), and empower them to deliver high-value professional services around Zero Trust and AI application security. Driving Global PIO via Repeatable Reference Architectures: Collaborate with sales teams to proactively source, qualify, and expand PIO through strategic architectural alignment, focusing on creating Repeatable Reference Architectures that allow partners to migrate legacy enterprise network architectures to CF1 and integrate secure AI solutions at scale. Enterprise Deal Support & Qualification: Enable global partners' technical validation, proof-of-concept (PoC), demo, pipeline generation, and pipeline acceleration capabilities. Identify joint pursuit accounts, facilitate strategic technical account planning, and deliver cutting-edge solution architecture sessions for top-tier Named Partners and high-value, complex global deals. 2. Post-Sales Architecture & Accelerated Services Delivery Global ASD Partner Journey Ownership: Own the Accelerated Services Delivery (ASD) partner journey at the GEO/Global level to ensure top-tier partners possess the advanced, scalable capabilities required to deploy, manage, and support the Cloudflare platform and enterprise AI application workloads seamlessly. Joint Services Offering Acceleration with a strong focus on CF1 and AI: Build, co-develop, and publish joint services catalogues and repeatable reference offerings with key global partners, accelerating the creation and global launch of their own Cloudflare-focused managed services practices, managed CF1 SASE offerings, and enterprise AI security assessments. Global Service Monetization: Enable GSIs and SPs to embed CF1 and Workers AI capabilities deeply into their own global managed security portfolios and core enterprise offerings to shorten time-to-market, protect complex client AI pipelines, and maximize global profitability. Technical Account Governance & Architectural Health: Act as the escalated principal technical point of contact to ensure long-term architectural health across global deployments, utilizing telemetry and proactive design to move the global partner relationship from reactive troubleshooting to advanced CF1 and AI optimization. 3. Automation & Continuous Innovation Leverage Autonomous AI Tools: Champion the use of Cloudflare OS,  AI tools (Agent PAT and Agent Echo) to automate standard, repeatable technical tasks, optimizing operational efficiency and freeing up bandwidth for high-touch, strategic global partner engagements. Global AI & CF1 Feedback Loop: Engage key global partner champions and practice leads in the Partner Technical Advisory Council (PTAC) to give them early access to beta software, capture raw enterprise-grade product feedback, and drive joint co-innovation on CF1 features and emerging AI products. Cross-Functional Strategy Enablement: Participate in continuous cross-training and steering programs to maintain peak proficiency in both pre-sales scoping and post-sales service deployment across the entire Cloudflare One and AI ecosystem globally. Required Qualifications & Experience 15+ years of technical, partner-facing experience (e.g., Enterprise Solutions Architect, Principal Systems Engineer, or Technical Account Lead) in cybersecurity, cloud infrastructure, or networking—with a proven track record directly managing Global System Integrators (GSIs) or major Service Providers (SPs). Deep architectural expertise in Cloudflare One (CF1) or equivalent SASE/SSE architectures, Zero Trust, DNS, and application security, alongside hands-on familiarity with global AI deployment, AI Gateway, LLM orchestration frameworks, or vector databases. Proven track record of developing enterprise technical talent, building global "champion" programs, and authoring Repeatable Reference Architectures within major global partner organizations. Demonstrated ability to manage the technical lifecycle of complex, multi-million dollar global deals from initial pre-sales discovery and global CF1/AI PIO generation through post-sale service delivery. Exceptional communication and executive-presence skills with a track record of presenting complex CF1 architectures and AI-driven use cases to partner C-level executives, practice directors, and technical teams alike. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Software Serviceability Engineer to own the software and AI dimension of serviceability for our humanoid robots. Product Services Engineering makes sure the robot is designed to be maintained — and that when it needs service, it can be diagnosed and repaired quickly, safely, and at low skill in the field. You will own that mission for everything software: diagnostics, firmware and bootloader serviceability, and the diagnostic content behind our remote-diagnostics (Digital Shadow) platform. This is a deeply technical, hands-on role. You will validate the software and AI dimension of every service procedure before it reaches production, build the diagnostic tooling that lets our Remote Services and Repair Centre teams find faults fast, and act as part of the single engineering interface between Services and R&D. WHAT YOU’LL DO: - Own Design-for-Serviceability for software: ensure the robot’s software, firmware, and AI stack can be diagnosed, updated, and recovered in the field with minimal skill. - Collaborate with R&D to build and validate diagnostic scripts, tooling, and self-test routines that localise faults as deep as possible in the BOM. - Define and own the software diagnostic content in the Digital Shadow platform: remote diagnostics, fleet-pattern detection, and AR-guided execution. - Validate the software and AI dimension of service, repair, calibration and OTA procedures before production release. - Own firmware, bootloader, and calibration serviceability, including recovery paths for failed updates. - Support New Services Introduction (NSI) for software, and act as the single point of entry from Services into R&D for software escalations. WE’RE LOOKING FOR: - Strong software engineering for robotics or embedded systems: ROS2, Bash, and Ubuntu/Linux, with bootloader/firmware workflows. - Proficiency in Python (and ideally C++) for diagnostics, tooling, and automation. - Hands-on experience diagnosing robots or complex electromechanical systems — you can tell whether a fault is software, firmware, calibration, or hardware. - Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective. - A design-for-serviceability mindset — you think about the technician in the field, not just the happy path. - Disciplined engineering practice and version control (Git). NICE TO HAVE: - Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field. - Familiarity with remote-diagnostics or fleet-telemetry platforms. - Experience authoring service documentation or work instructions consumed by non-engineers. - Exposure to Design-for-Serviceability / DfMA on a hardware product line. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Mechatronics Remote Support Engineer to be the troubleshooting core of our Remote Services team — the people who keep our humanoid robots running in the field. When a robot has a problem, you diagnose it remotely, resolve what can be resolved without a site visit, and — when hands are needed on the robot — produce a precise physical-intervention recommendation for the field or Repair Centre teams to execute. This is a hands-on, customer-facing technical role. You will work remote-first, diagnosing as deep into the robot as the tools allow, and you will occasionally travel as a “flying doctor” when local resources cannot resolve an issue themselves. WHAT YOU’LL DO: - Diagnose robot faults remotely using telemetry and our Digital Shadow diagnostics (remote diagnostics, 3D BOM explosion, and fleet-pattern detection). - Resolve issues remotely wherever possible, driving each case to the deepest root cause you can before escalating. - Produce complete physical-intervention recommendations — what to do, why, how, the skill level, spare parts, expected time, and any special tooling. - Occasionally, act as a flying doctor on-site when local resources cannot fix the issue themselves. - Prioritise cases against SLAs and keep customers informed with clear, transparent updates. - Document diagnoses and resolutions so the team’s collective knowledge grows while the digital tools mature. - Escalate through the single point of entry to Engineering when a case genuinely needs R&D. WE’RE LOOKING FOR: - Hands-on knowledge of robot hardware: 2D/3D LiDAR, RGB cameras, motors, and actuators. - Software troubleshooting on robots: ROS2, Bash, Ubuntu/Linux, and bootloader/firmware. - Strong remote-diagnosis instincts — you localise faults precisely before recommending any physical work. - Clear technical communication with customers and field teams, especially under SLA pressure. - A methodical, case-to-the-end mindset with disciplined documentation. - Willingness to travel occasionally for on-site interventions. NICE TO HAVE: - Experience with Time-of-Flight (ToF) sensors and IMUs. - Python and Git for building small diagnostic utilities. - Prior customer-facing field-service or technical-support experience. - Familiarity with SLA-driven support operations and lean, one-piece-flow ways of working. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London. As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. WHAT YOU'LL DO - Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. - Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. - Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. - Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. - Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. - Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. - Establish and uphold best practices for data management - versioning, access control, security, and compliance. WHAT WE'RE LOOKING FOR - 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. - Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. - Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. - Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. - Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. - Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. - Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. - Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. - Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have - ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. - Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. - Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. - BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. - Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. - Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Los Angeles, USA At Riot, we are investing in League of Legends to grow the game for generations to come. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches. As a Staff Machine Learning Engineer in League of Legends, you will build applied machine learning systems that directly improve player experience. You will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. Your work could span across personalized player experiences, in-game systems, and matchmaking. You will report to the Data Engineering Director in League of Legends and operate as a deeply embedded technical partner to the game team. You will also help strengthen craft standards, knowledge sharing, and technical quality across Riot’s growing ML engineering discipline. Responsibilities: Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration. Set technical direction for a League ML domain and create reusable modeling, evaluation, and operating patterns that raise the bar beyond your immediate team. Build models, recommenders, ranking systems, and decision logic that help players discover the right champions, builds, modes, content, and return paths based on their needs and context. Develop ML approaches that improve in-game systems and matchmaking quality, balancing player experience, fairness, reliability, and operational constraints. Partner closely with product managers, designers, analysts, and engineers to shape ambiguous opportunities into clear technical plans and shipped player-facing features. Translate gameplay, behavioral, and product telemetry into reliable signals and evaluation frameworks. Design and run experiments to evaluate model quality, player impact, and system tradeoffs. Work directly with game and service engineers to integrate models into League systems and services, including helping define instrumentation and telemetry when needed. Operate independently across multiple partner groups, driving multi-month work with limited day-to-day oversight. Contribute to the ML engineering community at Riot through peer reviews, documentation, craft standards, and shared learnings. Help establish robust monitoring, observability, and support practices for live ML systems as they scale. Required Qualifications: Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles. Evidence that your modeling choices have been adopted beyond your immediate team — whether through reusable patterns, shared architectures, or influence on how others approach problems. History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply. Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction. Comfort with ambiguity — you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start. Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you. Excellent written and verbal communication. Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments is a plus. Experience bridging research and production — translating papers or prototypes into reliable shipped systems — is a plus. Familiarity with ML platform components (model serving, feature stores, ML observability) is a plus. Passion for player experience, games, or creative technology. Desired Qualifications: Experience building ML systems for games, live service products, consumer personalization, or other player-facing digital products. Experience with matchmaking, recommendations, multi-objective optimization, or other systems that must balance competing goals. Familiarity with causal inference, uplift modeling, contextual bandits, reinforcement learning, or other approaches useful for adaptive player experiences. Experience integrating models into latency-sensitive or high-reliability production environments. Experience defining telemetry or instrumentation needs in close partnership with software engineers. Familiarity with responsible AI practices, including fairness, safety, transparency, and operational trustworthiness. Comfort collaborating across a central craft organization and an embedded product team model. For this role, you’ll find success through: Strong applied ML craft Independent execution in ambiguous spaces Thoughtful collaboration with product, design, engineering, and Insights partners Decision-making that prioritizes player value and long-term system health 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: Hybrid - San Francisco, New York City, London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Security Software Engineer, Detection & Response, to build the telemetry, logging, and response systems for our Detection & Response team. This is a builder role, not a queue-triage role. You will build detection and response as software across a multi-cloud fleet of servers, containers, and endpoints, and test where AI and agents can safely take work off responders. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office. What you’ll do Deploy and operate telemetry at fleet scale with osquery and extended Berkeley Packet Filter (eBPF) sensors across servers, containers, and endpoints, and own performance overhead, staged rollouts, canaries, and rollbacks Build and maintain the logging and security information and event management (SIEM) pipeline behind detection, including ingestion, normalization, enrichment, storage, and cost, with detections written as code with tests, code review, and continuous integration and continuous delivery (CI/CD) Automate response with tooling for host isolation, credential revocation, evidence collection, and enrichment, and test where AI and agents can safely take work off responders Strengthen the corporate security stack, including endpoint detection and response (EDR) and fleet management across Mac, Windows, and Linux, email security, and GitHub controls Join the on-call rotation, work with the managed security operations center (SOC) on escalations, and automate evidence collection for System and Organization Controls 2 (SOC 2), Payment Card Industry Data Security Standard (PCI DSS), and ISO audits What you need 5+ years in security, infrastructure, or platform engineering, writing production code in a compiled language (Go or Rust preferred) and a scripting language (Python or Bash) Deployed and operated agents, sensors, or telemetry collectors at fleet scale, such as osquery or eBPF-based tooling Operated AWS infrastructure, including networking, identity and access management (IAM), logging, and container workloads, with infrastructure as code in Terraform Built and run a data or logging pipeline, including SIEM operations and SQL for investigation Bonus if you Worked with managed SOC providers or security orchestration, automation, and response (SOAR) platforms Built or contributed to open source security or observability tooling Know serverless platforms and API security Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000-$312,000. This salary range is an estimate. Actual salary will be based on job-related skills, experience, and location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer – Logging, Diagnostics & Post-Release Incident Analysis Overview The PlayStation Portal Platform team is seeking a Senior Software Engineer to lead the design, development, and operation of Logging and Diagnostics infrastructure that enables rapid detection, investigation, and resolution of Performance, Stability, and Platform Quality issues occurring after products are released to customers. In this role, you will be responsible for building scalable Logging Architecture, Crash Diagnostics, and Incident Analysis Frameworks that empower engineering teams to perform efficient root cause analysis of field issues. You will collaborate closely with Engineering, Quality Engineering (QE), Customer Support, Security, and Product teams to reduce the time from issue detection to root cause identification and drive continuous improvements in product quality and reliability. We are looking for engineers who are passionate about quality, thrive on solving complex system-level problems, and take strong ownership in delivering exceptional user experiences through continuous improvement. Key Responsibilities Logging Architecture Define and drive the overall platform logging strategy. Design and implement logging frameworks for AOSP-based systems. Establish log collection, storage, retention, and archival strategies. Define structured logging standards and best practices. Design logging mechanisms optimized for field debugging and post-release analysis. Improve platform observability and telemetry quality. Diagnostics & Debuggability Build infrastructure for Crash, ANR, Native Crash, and Kernel Panic analysis. Define strategies for collecting and analyzing Tombstones, DropBox entries, Bugreports, and diagnostic artifacts. Develop diagnostic frameworks for system failure analysis and troubleshooting. Create tools that support issue reproduction and root cause analysis. Drive initiatives that improve platform debuggability and diagnosability. Partner with development teams to ensure diagnostic capabilities are built into the platform. Post-Release Incident Analysis Investigate and analyze production issues occurring in customer environments. Identify, classify, and track recurring failure patterns. Lead incident reviews, postmortems, and corrective action initiatives. Drive improvements in Mean Time to Detect (MTTD) and Mean Time to Resolution (MTTR). Provide actionable recommendations to engineering teams for quality improvements. Monitoring & Alerting Design and implement log-based monitoring systems. Develop anomaly detection mechanisms for platform health and stability. Build automated alerting and escalation frameworks. Create dashboards and reporting tools for field quality monitoring. Define and track reliability metrics and operational KPIs. Security & Compliance Design and implement secure logging and diagnostics infrastructure. Ensure protection of PII and sensitive customer information. Support security incident investigations and forensic analysis. Define log retention policies and ensure compliance with company and regulatory requirements. Collaborate with Security teams to implement secure-by-design principles. Required Qualifications A genuine passion for delivering high-quality software and exceptional user experiences, with a strong sense of ownership and accountability for product quality. Experience working in Agile development environments and driving continuous quality improvements through iterative development, data-driven decision making, and customer feedback. Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience. 5+ years of experience in Android native development with strong expertise in Java/Kotlin and Android Studio. Experience developing Android/AOSP system software. Experience designing and implementing Logging, Diagnostics, or Observability systems. Strong experience with crash analysis, production debugging, and root cause investigation. Experience debugging Linux Kernel or low-level system software issues. Strong programming skills in C/C++, Java, and/or Kotlin. Experience analyzing large-scale production incidents and system failures. Proven track record of conducting Root Cause Analysis (RCA) and driving corrective actions. Strong understanding of software architecture, operating systems, and system software fundamentals. Excellent analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications Experience developing Android Framework components. Experience with Kernel Logging, Tracing, and low-level diagnostics. Hands-on experience with Perfetto, Systrace, ftrace, or similar profiling and tracing tools. Experience building or operating Crash Analytics platforms. Experience with Security Incident Response and forensic investigations. Experience developing Consumer Electronics products. Site Reliability Engineering (SRE) experience. Experience with modern JavaScript frameworks such as React, React Native, Angular, or similar technologies for building responsive user interfaces and dynamic applications. Experience designing telemetry, observability, monitoring, or analytics platforms. Familiarity with cloud-native logging and analytics solutions. Experience developing developer tools, debugging tools, or operational dashboards. What We're Looking For Passion for quality, reliability, and operational excellence. Strong ownership and accountability for outcomes. Customer-focused mindset with a commitment to exceptional user experiences. Ability to investigate complex system-level issues and identify root causes. Strong collaboration skills across cross-functional teams. Continuous improvement mindset and commitment to engineering excellence. Impact Your work will directly influence the quality, reliability, and supportability of PlayStation Portal products used by millions of players worldwide. By building world-class logging, diagnostics, monitoring, and incident analysis capabilities, you will enable engineering teams to detect issues faster, resolve them more efficiently, and continuously improve the customer experience. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $193,300 — $289,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (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: Malta The Wow As an Observability DevOps Engineer specializing in observability platforms, you will play a pivotal role in enhancing the visibility, reliability, and performance of our systems and applications. Leveraging your expertise in modern technologies and protocols, you will be responsible for implementing, and maintaining robust observability solutions to monitor, analyse, and troubleshoot our distributed systems. This position requires passion about leveraging observability platforms to drive operational excellence and thrive in a dynamic, collaborative environment. It also requires strong technical skills in AWS, Terraform, Git workflows, and a deep understanding of DevOps principles. Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Kyiv and Athens. With around 1,000 professionals, the technology organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. A taster of what you will be involved with: Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others to provide comprehensive insights into system behaviour and performance. Collaborate with development, operations, and other cross-functional teams to integrate observability solutions into the CI/CD pipeline and automate monitoring and alerting processes. Develop custom monitoring solutions and instrumentation libraries to capture relevant metrics, logs, traces, and events across microservices architectures. Configure and optimize telemetry collection, storage, and visualization components to ensure scalability, reliability, and cost-effectiveness. Implement anomaly detection algorithms and predictive analytics to proactively identify and mitigate potential issues before they impact users. Conduct thorough root cause analysis of incidents and performance bottlenecks, leveraging observability data to drive continuous improvement initiatives. Stay abreast of emerging trends, best practices, and industry standards in observability, and assess their applicability to our environment. Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and collaboration. You will be expected to form part of a 24/7 on call roster to support your engineering team during out of office incidents calls Drive automation initiatives using Terraform, Git workflows, and other DevOps tools to streamline deployment processes and improve operational efficiency. What we are looking for Hands on experience with most of the following technologies: AWS Kubernetes Helm Ansible Proficiency in scripting languages such as Python, Bash, or Go for automation and tooling development. Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in cloud-native environments. Strong understanding of distributed systems architecture, networking concepts, and security principles. Familiarity with modern observability protocols and standards, including OpenTelemetry for unified observability. Expertise in configuring and managing monitoring solutions like Prometheus, Grafana LGTM+ stack, and APM tools. Experience with infrastructure as code (IaC) tools such as Terraform or Ansible for provisioning and configuration management. Knowledge of eBPF (extended Berkeley Packet Filter) for deep observability into the Linux kernel and user-space applications. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 3,000+ strong, spread across 7 offices with 1,500 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire a Site Reliability Engineer to join the Site Reliability Engineering team, which plays a critical role in ensuring the platform delivers consistent, reliable service to clients. The services run on Kubernetes in AWS, and this role is focused on maintaining the health, stability, and performance of production environments. This position is ideal for a hands-on engineer who thrives in diagnosing complex production issues where the root cause is not immediately apparent. This role transforms insights gained from production incidents into stronger reliability standards, safer deployment practices, more effective alerting, and automation that helps prevent recurring issues. While metrics, logs, and traces are leveraged daily, the core focus is identifying, resolving, and learning from the issues they reveal. Responsibilities Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause. Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements. Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding. Serve as the incident commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through. Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil. Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing. Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations. Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links. Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields. Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus. Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time. Qualifications 5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams 3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes Strong incident response skills, including leading retrospectives and postmortems and following through on systemic fixes Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling Track record of defining SLOs/SLIs and using an observability stack (i.e. Prometheus and Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly Clear written and verbal communication skills with the ability to influence engineering teams through standards, tooling, and practical guidance Kubernetes certification (CKA or CKS) or equivalent depth Experience improving rollout safety and autoscaling behavior for Kubernetes workloads Familiar with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems OpenTelemetry instrumentation experience at scale is preferred Benefits The base salary range for this role is $130,000 to $160,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role As a SecOps Engineer, you will help protect Aidoc’s cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring and operations. This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization detect, investigate, and respond quickly and effectively to security events. You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of Aidoc’s clinical AI platform. Responsibilities Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact. Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required. Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning. Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring. Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations. Requirements 2+ years of experience in Security Operations, SOC analysis, detection and response, incident response, cloud security operations, or a similar hands-on security role. Hands-on experience with SIEM-based investigations, including alert triage, log analysis, event correlation, evidence review, case prioritization, and escalation. Experience working with security telemetry from cloud platforms, identity providers, endpoints, SaaS systems, network tools, application logs, and production environments. Familiarity with cloud-native environments, including IAM, storage access, workloads, Kubernetes, containers, APIs, logging, monitoring, and CI/CD pipelines. Understanding of common attack techniques, including credential compromise, phishing, privilege escalation, suspicious API activity, malware, data exposure, lateral movement, and cloud misconfigurations. Experience with identity and endpoint investigation, including SSO, MFA, service accounts, privileged access, EDR alerts, and suspicious user or device activity. Ability to use query or scripting languages such as KQL, SPL, SQL, Python, Bash, or similar. Familiarity with incident response workflows, case management, evidence collection, remediation tracking, and post-incident review. Strong analytical judgment, with the ability to separate false positives from real risk and explain findings clearly. Ability to work independently, document investigations clearly, and escalate issues with the right level of urgency. Strong communication skills and the ability to work with Security, IT, DevOps, R&D, Product Security, Compliance, and business stakeholders. Close attention to detail, strong ownership, and comfort working in a fast-moving production environment. Additional Strengths Experience in healthcare, healthtech, medical devices, digital health, or regulated software environments. Familiarity with HIPAA, GDPR, SOC 2, ISO 27001, NIST CSF, or similar security and privacy frameworks. Familiarity with MITRE ATT&CK, detection logic, attacker behavior, and investigation playbooks. Experience with threat hunting, detection engineering, malware analysis, forensics, or advanced incident response. Experience with SOAR platforms, case management systems, threat intelligence feeds, detection-as-code, or SOC automation. Experience improving SOC metrics such as alert noise, false-positive rate, time to triage, time to escalation, and investigation quality. Experience working with sensitive data, PHI/PII, customer-facing environments, or audit-ready evidence collection. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are building the foundational data infrastructure that powers one of the world's leading crypto exchanges. As a Big Data Platform Engineer , you will design, build, and evolve the core platform services that enable hundreds of data engineers and analysts to move fast and ship reliable pipelines. You will be at the forefront of our AI agent initiative — embedding LLM-driven capabilities directly into the platform layer so that scheduling, cost optimization, and incident response increasingly run autonomously. What You’ll Be Doing Platform Core: Design and operate large-scale distributed data systems Own the big data compute and storage infrastructure (MaxCompute/ODPS, Hologres, Spark) Build and maintain multi-site task orchestration that dynamically selects engines and enforces policy Drive reliability and performance improvements across batch and real-time pipelines AI Integration: Build the AI-native platform layer Develop and expose MCP (Model Context Protocol) tool interfaces so AI agents can interact with platform APIs Build the scheduling and cost-optimization agents that auto-tune resource allocation and alert severity Instrument platform telemetry to feed AI-driven SLA monitoring and anomaly detection Design context retrieval pipelines (RAG / vector search) for SQL code and config knowledge bases Tooling & DX: Evolve the developer experience Own the internal data development platform — IDE integrations, code review automation, deployment tooling Build APIs-first tools (backfill, ingestion automation) designed for future MCP integration Collaborate with data warehouse and service teams to define platform contracts Ops & Governance: Drive operational excellence Establish SLA benchmarks, cost metrics, and latency dashboards as AI optimization targets Build automated incident response and root-cause analysis pipelines Define and enforce infrastructure policies across multi-cloud environments AI Agent Ownership — Platform Tier Scheduling Agent: auto-configure task dependencies, engine selection, cost/performance trade-offs, and alert tiers Operations Agent: detect pipeline latency, performance degradation, and schema drift; trigger remediation Incident Response Agent: trace SLA breaches to root cause, assign accountability, generate post-mortems MCP Tool Layer: design and maintain the cross-platform tool interfaces that all agents call into What We Look For In You 5+ years of experience building large-scale data platforms (Hadoop/Spark/Flink or equivalent) Deep expertise in distributed storage and compute systems (MaxCompute, Hologres, ClickHouse, Hive) Strong software engineering skills in Java, Scala, or Python; experience with API-first design Hands-on experience with task scheduling systems (Airflow, DolphinScheduler, or in-house equivalents) Solid understanding of multi-cloud architectures and cost governance Familiarity with LLM integration patterns: tool calling, RAG pipelines, context management Experience with MCP or similar agent-tool frameworks is a strong plus Passion for building systems that make other engineers 10x more productive Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience.1 In Ireland, the Base compensation range for this role is € 121,128 - € 145,354 Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. As the Marketing Analytics Director , you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org. You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention. You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals. What You'll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth. Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed. Utilizing AI and Automation Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment. Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient. Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production. Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling. Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards. Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch. MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams. Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain. Bonus Points For Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. In the US, the OTE compensation range for this role is $ 178,503 - $ 214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role The Global Alliance Lead is one of the most strategically important roles in our Ecosystem. You will own our relationship with one of the world's leading technology and transformation partners end-to-end — from C-suite engagement through to practitioner enablement and joint pipeline creation. You will be the architect of how the GSI and NewCo go to market together, ensuring our platform becomes the trusted data foundation inside the GSI’s agentic AI delivery practice globally. This is a senior individual contributor role reporting to the Global Head of GSI Relationships. You will orchestrate across sales, partner solution architecture, marketing, and partner operations — bringing the full weight of the organisation to bear on one of our highest-leverage commercial relationships. What You'll Do Relationship strategy and executive engagement Own the global GSI relationship at partner and C-suite level, building trusted relationships with Capgemini, practice and delivery team leads. Define and execute a multi-year joint strategy that positions dbt + Fivetran as the default open data infrastructure layer within the GSI’s enterprise AI and agentic workflow delivery Represent NewCo at GSI’s internal forums, client briefings, and industry events — articulating a compelling narrative around open data infrastructure and its relevance to the GSI’s strategy. Platform integration and practitioner adoption Drive adoption of the dbt + Fivetran platform within GSI delivery teams — ensuring practitioners, solution architects and practice leads are certified, confident, and actively recommending the platform in client engagements Work with GSI's practice leadership to embed NewCo's platform into their business groups, standard delivery architectures, RFP responses and client proposals — with particular focus on GSI's Data & AI practices Enablement and go-to-market Design and execute a frictionless enablement programme for GSI practitioners globally — certifications, reference architectures, use case playbooks, and joint delivery assets Partner with GSI's marketing and alliances teams to develop joint go-to-market campaigns anchored to open data infrastructure, trusted AI delivery, and closing the gap between AI POC and production Support GSI in building and positioning client-facing agentic AI value accelerators — with NewCo platform as the foundational data layer — the "NewCo inside" model Pipeline and opportunity development Source and develop new pipeline opportunities through the GSI relationship — identifying client situations where open data infrastructure creates measurable value. Drive co-sell motions alongside GSI account teams, ensuring NewCo is present and influential at the point of client opportunity Maintain a rigorous view of GSI-engaged pipeline — tracking opportunity sourcing, progression, and closed business attributed to the alliance Telemetry and performance Define and track the signals that indicate a healthy, high-performing GSI relationship: certifications, sourced opportunities, platform deployments, practitioner engagement, and joint wins Report regularly to the Global Head of GSI Relationships on alliance health, pipeline contribution, and strategic progress Identify risks and gaps in the relationship early and mobilise internal resources to address them What you will bring 15+ years of experience in strategic alliances, enterprise sales, or partner management within the data, cloud, or enterprise software industry Demonstrated experience managing complex, global relationships with major consulting firms or global system integrators at a senior level Deep understanding of the modern data stack and the business value of open data infrastructure — dbt, Fivetran, or equivalent experience strongly preferred Ability to engage credibly at C-suite and partner level within a global consulting organisation — understanding how GSIs make decisions, build practices, and go to market Strong commercial instincts — able to identify, thoroughly qualify and develop joint pipeline opportunities, not just manage existing relationships Track record of operating as a cross-functional orchestrator — influencing without direct authority across sales, engineering, marketing, and operations Exceptional communication and storytelling skills — able to translate technical platform capabilities into compelling business narratives for consulting and enterprise audiences Familiarity with AI, agentic workflows, and the data governance landscape is a strong advantage + strong knowledge of GSI's operating model and contacts within. Willingness to travel globally to engage GSI leadership and teams across regions What Success Looks Like in Year One A clearly defined joint strategy with GSI signed off at partner Executive level and on track to primary Global Strategic Practice. Material increase in GSI practitioner certifications and active platform deployments across Data & AI and Insights & Data practices GSI-sourced pipeline contributing measurably to NewCo's revenue At least two joint go-to-market campaigns live in the market delivering pipeline — anchored to GSI's agentic AI and trusted data agenda First client-facing agentic value accelerators built on NewCo platform delivered with GSI — positioning NewCo as the trusted data infrastructure inside GSI's AI delivery A telemetry framework in place tracking alliance health and pipeline influence Why This Role This is a rare opportunity to own a marquee relationship at a defining moment for both companies. GSI’s are publicly committing to capturing the full value of the agentic AI revolution for customers  — and the merged dbt + Fivetran platform is the trusted data infrastructure that makes AI production-ready. The person who builds this alliance well will sit at the intersection of the two most important forces in enterprise technology right now: the scale of a global systems integrator and the open infrastructure that makes AI trustworthy enough to deploy at scale. This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. #LI-Remote OTE (On Target Earning) $249,816 — $302,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Role: As part of the System Engineering Department, the Flight Operations Engineer will participate, and coordinate the work needed for the definition, development and execution of the constellation operations, and the preparations, implementation, testing and verification of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies regarding the design, develop and testing of the satellite/constellation operations procedures. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the Satellite Simulator Operation and script development. Must haves · Bachelor’s degree in engineering in a relevant field · At least 7 years of experience · Previous experience with LEO/MEO SatOps. · Experience with automated satellite operations and IOT · Experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. · Knowledge in Python or other scripting languages Complementary skills/knowledge · AG1's Systems Tool Kit (STK) · Requirements Management tools such as DOORS/Windchill/Jama · Previous experience in Constellation Operations · The design, development and testing of new automated operations flows and scripts. · Experience creating or using models and/or simulation software. Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: As part of the System Engineering Department, the Senior Mission and Operations Satellite System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies to design, develop and simulate the overall Satellite LEOP plan. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the ICD development activities both HW and SW/DB Support the Operations DevOps environment and tool-chain integration. Support the ConOps Mission Design, Trade Space Analysis, Modeling and Automation Support the Satellite Simulator Operation and script development. Must haves · Bachelor’s degree in engineering in a relevant field · At least 10 years of relevant practical experience · Previous mission design and analyses experience with LEO/MEO satellite systems. · Experience with automated satellite operations, especially design. Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Experience creating or using models and/or simulation software. · Knowledge of Python or other scripting languages Knowledge of Matlab Knowledge of AG1's Systems Tool Kit (STK) Complementary skills/knowledge Previous experience in Constellation Operations Development and testing of new automated operations Knowledge of MS Excel, for the purposes of engineering analyses Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: As part of the System Engineering Department, the Flight Operations System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies to design, develop and simulate the overall Satellite LEOP plan. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the Satellite Simulator Operation and script development. Must haves · Bachelor’s degree in engineering in a relevant field · At least 10 years of relevant practical experience · Previous experience with LEO/MEO satellite systems. · Experience with automated satellite operations, especially design and IOT. Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Experience creating or using models and/or simulation software. · Knowledge of Python or other scripting languages Knowledge of Matlab Knowledge of AG1's Systems Tool Kit (STK) Complementary skills/knowledge Previous experience in Constellation Operations Development and testing of new automated operations Knowledge of MS Excel, for the purposes of engineering analyses Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: A Satellite Database Engineer is responsible for designing, developing, and maintaining databases that support satellite integration, operations, telemetry processing, mission planning, and analytics. This role requires expertise in handling large-scale telemetry and command data, including Mission Information Base (MIB) formats, which are essential for defining telemetry and command dictionaries. Tasks and Techical Skills: Mission Information Base (MIB) Expertise: • Experience in handling, processing, and managing MIB format files for satellite telemetry and command definitions. • Understanding of MIB database structures for storing telemetry parameters, command definitions, and limits. • Ability to parse, validate, and integrate MIB files into satellite operations software. Telemetry & Command Data Handling: • Experience with real-time and historical telemetry data processing. • Knowledge of CCSDS (Consultative Committee for Space Data Systems) standards for telemetry and command data. • Familiarity with telemetry data encoding, compression, and error handling. Data Modeling & Architecture: • Strong knowledge of relational and non-relational database design for space systems. • Ability to optimize database performance for high-volume satellite telemetry and command data. Big Data & Analytics: • Experience handling large telemetry datasets from satellites and ground stations. Cloud & Infrastructure: • Experience with cloud-based database solutions (AWS RDS, Azure Cosmos DB, Google BigQuery). • Familiarity with containerized database deployment (Docker, Kubernetes). Programming & Scripting: • Proficiency in Python, SQL, and shell scripting for automation and data processing. • Experience with database APIs. Security & Compliance: • Knowledge of encryption, access control, and secure database best practices. Must haves Bachelor’s or Master’s Degree in Computer Science, Data Science, Aerospace Engineering, or a related field. 10+ years of relevant experience Experience working with MIB telemetry and command databases for satellite mission operations is highly preferred. Familiarity with satellite telemetry ground systems (e.g., mission control software, or flight software integration). Previous relevant experience in Satellite Database for LEO/MEO constellation for communication missions Complementary skills/knowledge that will be considered Understanding of the space environment, communication satellites, radio frequency (RF) equipment and the various solar cell & battery technologies Ability to lead and/or mentor junior members of the engineering team Problem-Solving & Analytical Thinking – Ability to troubleshoot and optimize MIB databases and telemetry processing systems. Collaboration & Communication – Work with mission planners, aerospace engineers, and ground control teams to integrate database solutions. Attention to Detail – Ensure data integrity, accuracy, and consistency across mission-critical satellite systems. Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably