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Location: ES - Barcelona, Spain Scopely is looking for a Senior Engineer to serve on and elevate our new casual game, Monopoly GO!  team in Barcelona on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. What You Will Do Contribute to the design, development, and scaling of gameplay systems, tools, and pipelines for Monopoly GO!, one of the world's most successful mobile games Own features and systems from design through release and live operation Collaborate with designers, artists, data analysts, and other engineers to bring ideas to life and continuously improve the player experience Build clean, performant, testable code across a variety of systems, including gameplay, LiveOps tooling, backend integration, and more Improve content pipelines and automate workflows to help other crafts ship content safely Investigate live-game incidents and unfamiliar issues, identify root causes, and turn the learning into better monitoring and fewer repeat failures Prototype new features and systems, and use AI to improve how the team works, from everyday workflows to collaboration and delivery Mentor less experienced engineers through code review, pairing, and feedback Learn from (and with) a world-class engineering org, while helping shape the future of how we work What We're Looking For Solid programming fundamentals in any language and a passion for making things players love Curiosity about how AI can improve creativity and productivity, whether it's prompt workflows, automation, or integrating AI tools into content pipelines You think like a systems designer: how things scale, how they evolve, how to keep them clean and efficient Experience with (or interest in learning) Unity and C#, plus relevant tools like Git, Docker, or cloud services Experience with Unity asset bundles or Addressables, asset importing, content pipelines, editor tooling, and validations Familiarity with backend systems, data pipelines, or infrastructure and observability A structured, calm approach to unfamiliar technical problems, including under time pressure An automation and tooling mindset Ability to turn requirements into clear technical specifications and explain decisions to non-technical colleagues A unique lens, whether that's a self-taught dev, a career hopper, or even an entirely new creative discipline. The more unconventional the better Bonus Points Backend experience with game services, APIs, and data stores, and confidence working across the client–server boundary Contributions to creative or technical projects: games, tools, mods, art, code, anything you're proud of Experience with live-operations configuration, content scheduling, or remote configuration in games Experience leading technical work across connected systems or multiple crafts Prior exposure to shipping live games, but we're happy to teach you that part About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Hungary; Armenia; North Macedonia Workplace: Remote ABOUT THE GEO TEAM GEO stands for Generative Engine Optimization. The GEO team builds products that help multi-location brands understand and improve how they are represented, cited, and recommended across AI-powered search and answer engines such as ChatGPT, Gemini, Perplexity, and Google AI Overviews. We are building backend capabilities that collect and analyse signals from rapidly evolving AI platforms, measure brand visibility, and turn complex data into actionable recommendations for our customers. ABOUT THE ROLE As Backend Engineering Lead for Uberall’s GEO team, you will combine hands-on technical leadership with responsibility for the growth and effectiveness of the engineering team. You will shape the architecture behind our AI-search products, lead the delivery of new capabilities, and help the team navigate a fast-moving and technically ambiguous domain. Working closely with Product, Engineering, and other stakeholders, you will translate customer needs and emerging developments in generative AI into reliable, scalable, and maintainable backend solutions. Historically, our backend has been built on Groovy and Kotlin. Today we work AI-first, and much of our engineering work runs through AI-assisted development. As a result, we place far less weight on a specific stack than we used to. What matters is that you know your way around backend engineering and can apply sound judgment, whatever the language. YOUR RESPONSIBILITIES - Lead, develop, and grow the GEO engineering team, starting with two engineers and scaling as the product grows. - Define how the team builds, reviews, evaluates, and ships, including how it uses AI-assisted development day to day. - Guide the design and operation of backend systems that integrate with LLMs and AI-powered search platforms. - Establish robust approaches for evaluating the quality and consistency of AI-generated results. - Ensure that LLM-enabled capabilities are observable, testable, cost-efficient, and resilient to changing models and external providers. - Help the team manage the particular challenges of generative AI systems, including non-deterministic behaviour, latency, rate limits, data quality, and graceful degradation. - Stay informed about relevant developments in LLMs and AI search, assessing them pragmatically rather than adopting technology for its own sake. YOUR PROFILE - Experience leading or mentoring engineers, whether as a tech lead or engineering manager, including hiring and developing team members. - Solid backend engineering experience with at least one object-oriented language (for example, Java, Kotlin, Groovy, C#, or Python). Prior experience with Groovy or Kotlin is helpful but not required. - Comfort working AI-first, using AI-assisted development as a core part of how you and your team build and ship. - Hands-on experience building or operating production systems that use LLMs, generative AI, or AI-powered external services. - An understanding of how to evaluate and monitor LLM-enabled features beyond traditional deterministic testing. - Experience designing reliable integrations with third-party APIs and managing concerns such as cost, latency, rate limits, observability, and provider failure. - The ability to distinguish between an effective AI use case and one better solved with conventional software. - Experience with prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks is beneficial but not essential. - No experience training foundation models is required; this is primarily a backend engineering and technical leadership role. No experience training foundation models is required; this is a backend engineering and engineering leadership role.

Location: Canada Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We're looking for a Staff Engineer to own the smart wallet and account abstraction layer of Xsolla's Web3 platform. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how millions of players get an on-chain account they never have to think about — setting direction, making hard architectural calls, and raising the bar across the org. Concretely, you'll own the account model behind Xsolla ZK, our zkSync-based L2, and the wallet that sits inside Xsolla App. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account — derived from their identity claim, identical on every device, with private keys that never leave the client. That account is not a separate "wallet" screen: it is the player's inventory, and it backs minting, gifting, trading on our Bazaar marketplace, Merkle-based reward airdrops, gas sponsorship, and an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. You'll own the primitives underneath all of it: the ERC-4337 user operation lifecycle, EIP-7702 delegation, session keys and origin-bound Smart Sessions, paymaster and gas abstraction strategy, and the custody and recovery roadmap — including the move from raw key export to MPC custody. You will own the strategy behind account abstraction, signing, and session management at scale, and evolve our smart account and permissioning model to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering, product, security, and legal stakeholders, not just designing in isolation. You are technically deep, calm under pressure, and comfortable being the escalation point when production wallet issues get hard — because in this domain, "hard" means a stuck user operation, a drained paymaster, or a signing prompt a player didn't understand. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it. Responsibilities Own Smart Wallet & AA Architecture — Own the technical strategy and architecture of our smart wallet platform, covering the account model, signing, session management, and gas abstraction at scale. Design the Account & Signing Model — Design and evolve our ERC-4337 user operation lifecycle (prepare → sign → submit → confirm), EIP-7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives that let players act without a prompt on every transaction. Own Gas Abstraction — Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable. Harden the dApp-Facing Surface — Own the security model where our signer meets third-party applications: EIP-1193 / EIP-6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow. Define what a player is actually approving, and make sure the UI can prove it. Drive Custody & Recovery — Lead the custody roadmap from today's interim mechanisms toward MPC-based custody, and design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets. Drive Cross-Team Technical Decisions — Drive decisions on account architecture, SDK contracts, data modeling, and platform reliability, and build buy-in across the wallet, marketplace, SDK, mobile, and security teams. De-Risk Proactively — Identify systemic risks — key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths — and lead initiatives to resolve them before they become incidents. Set Engineering Standards — Define engineering standards, review critical code, contracts, and designs, and create leverage for the team through documentation, tooling, and mentorship. Align with Stakeholders — Collaborate with product, security, legal, and infra teams to align on roadmap and translate business and regulatory needs into well-scoped technical plans. Own Production Escalations — Serve as the go-to escalation point for complex production issues in the wallet and account abstraction domain. What You Bring Account Abstraction & Smart Wallets ERC-4337 Depth — Deep, hands-on understanding of ERC-4337: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules (ERC-7562), gas estimation and its failure modes, counterfactual deployment, and signature validation for undeployed accounts (ERC-6492). EIP-7702 & the Post-Pectra Landscape — Working knowledge of EOA delegation, its interaction with ERC-4337 EntryPoint v0.8, and the trade-offs and risks it introduces (residual key authority, delegation phishing, storage collisions). Smart Account Implementations — Experience building on or extending production smart account implementations (Safe, Kernel, Biconomy, Coinbase Smart Wallet, or equivalent), and familiarity with modular account standards (ERC-7579 / ERC-6900). Session Keys & Delegated Permissions — Experience designing scoped, time-limited, policy-bound authority: session keys with TTL and contract allowlists, origin binding, permission revocation, and delegated-permission standards (ERC-7710 / ERC-7715). Signature Schemes & Wallet Interfaces — Practical command of EIP-712 typed data, ERC-1271 contract signatures, WebAuthn / passkey (P-256) signers, and the wallet-facing standards: EIP-1193, EIP-6963, EIP-5792 batched calls, ERC-7677 paymaster interfaces. Production Wallet Experience — Experience designing or operating a production smart wallet or account abstraction system serving real users and real value. Production Crypto Track Record Scale in a Major Crypto Organization — Substantial engineering experience at a large crypto product or protocol organization — for example Coinbase, Kraken, Base, Safe, the Ethereum Foundation, Consensys / MetaMask — or a comparable wallet, exchange, or account-abstraction infrastructure team where wallet correctness and custody were core to the product. Operational Judgment Under Value at Risk — You have shipped and operated systems where a bug meant lost funds, and you can talk concretely about the guardrails, reviews, and rollback paths you put in place. Smart Contracts & EVM Solidity & EVM Fluency — Ability to read, review, and write account, paymaster, and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors. L2 Specifics — Understanding of L2 execution differences and how they affect wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, and RPC and indexer semantics. Backend Engineering Go Engineering — Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling. TypeScript & SDK Design — Ability to design and own client-side SDK surfaces in TypeScript that other engineering teams — internal and external — build on top of. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes), and with reconciling off-chain state against an authoritative on-chain result. Data & Infrastructure PostgreSQL — Schema design, query optimization, migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Security Key Management — Hands-on experience with key material in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each. Wallet Threat Modeling — Solid grasp of the wallet attack surface: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, and paymaster griefing and DoS. Leadership Cross-Team Initiative Leadership — Proven ability to lead multi-quarter technical initiatives across teams. Architectural Influence — Track record of influencing architecture and standards beyond your immediate team. Written & Verbal Communication — You write RFCs and design docs that people actually read. Nice to Have Experience working in the video game industry, building or operating platforms for game developers, publishers, or players Hands-on experience with the zkSync / Elastic Chain ecosystem (ZKsync OS, Matter Labs stack, native AA and paymaster flows, custom L2 operations) Experience with embedded and ecosystem wallet providers or AA infrastructure vendors (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}) — and clear views on where to build versus buy Experience with MPC / threshold custody, social recovery, or guardian-based recovery in a consumer product Experience with NFT and token infrastructure at scale: ERC-721 / ERC-1155 / ERC-20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security, or identity projects — including authorship or review of ERC / EIP standards Familiarity with compliance requirements relevant to crypto consumer products: KYC / AML, geofencing, MiCA, SOC 2, ISO 27001, GDPR data minimization, audit logging Experience with identity and auth integration for wallet derivation (OAuth 2.0 / OIDC, JWT verification, token scoping) Background in platform or infrastructure engineering — building systems other engineers build on top of Experience owning a mobile wallet surface (React Native / Expo, WebView provider injection, native signing UI) Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work How We Work Xsolla operates across multiple time zones, and the smart wallet underpins identity, ownership, and value transfer for every Web3 product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room. We value directness, technical depth, and follow-through. In this domain that means saying plainly when a design has custody, security, or reversibility implications, defending your position with evidence, and staying engaged until it's resolved. Where a decision touches player funds or key material, we expect the conservative call to be argued for explicitly rather than assumed. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Location: Brazil; Portugal SUMMARY: We’re looking for an experienced Java Engineer to join a collaborative, agile engineering team working on Java / Spring Boot / Vue.js solutions. You’ll contribute across the stack, work closely with senior engineers and product stakeholders, and help continuously deliver secure, high-quality software that genuinely makes an impact. This is a hands-on role with strong ownership, technical depth, and real influence over design and engineering standards. WHAT WILL YOU BE DOING: You will be joining our engineering team and will be a valued member working closely in a collaborative, autonomous, cross-functional team. You will help with the following: Design, develop, and maintain backend services using Java & Spring Boot, with exposure to Vue.js on the frontend Write and maintain a strong automated test suite (unit, integration, and end-to-end) Participate actively in code reviews, ensuring quality, performance, and maintainability Contribute to service and feature design discussions Debug and resolve complex issues in distributed systems Follow best practices around secure coding, CI/CD, source control, and release processes Coach and mentor junior engineers, raising the overall quality bar Provide predominantly 3rd-line support when required Collaborate with engineering leadership to continuously improve ways of working WHAT WE ARE LOOKING FOR: 5+ years of commercial experience with Java & Spring Experience working alongside a modern frontend framework (Vue.js or similar) Strong understanding of RESTful APIs Solid experience with automated testing (unit & integration) Hands-on experience with CI/CD pipelines (e.g. GitHub Actions, Drone, similar) Comfortable working in Agile environments with short delivery cycles Confident using Git and modern codebase management practices Strong focus on code quality, security, and performance Experience reviewing code and providing constructive feedback Strong problem-solving skills and a real ownership mentality Clear communicator with both technical and non-technical stakeholders Strong English communication skills, both written and verbal. AWESOME BUT NOT REQUIRED: Experience with large-scale, high-performance systems Exposure to microservices architectures Knowledge of cloud-native development Experience with Docker, Kubernetes, Helm, Kustomize Familiarity with event-driven/event-based architectures Leadership or mentoring experience WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues, and help create our company culture A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Fully remote Ongoing Training & Mentoring The possibility of travelling - ATTENTION!  THIS POSITION IS FOR PORTUGAL OR BRAZIL-BASED ONLY

Workplace: none About Utorg Founded in 2019, Utorg builds the infrastructure for stablecoin payments: on- and off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra. Location: Remote Tech stack Frontend: React 18/19, TypeScript, Vite, TanStack Query / Router / Table, Zustand, MUI, Tailwind + shadcn/ui, Next.js, i18next, Sentry Testing: Playwright, Vitest, Testing Library, MSW Backend: Java 17 + Spring Boot 3, Kotlin + Spring Boot 4 (new services), Node.js/TypeScript services, PostgreSQL, Redis, NATS, Temporal Infrastructure: Docker, Kubernetes (GKE), FluxCD, GitHub Actions, Cloudflare Web3: viem, ethers AI: Claude Code, MCP, custom skills and plugins, AI code review in CI The role We are looking for a senior engineer who builds product features end-to-end — mostly on the frontend, with the confidence to change the backend when the feature needs it — and who already works agent-first. Our team plans, writes, tests, and reviews code with AI agents. You will own the frontend of our payment products and help turn good AI habits into shared team workflows. The split is roughly 70% frontend / 30% backend. What you will work on Crypto on/off-ramp widget — an embeddable buy/sell flow with KYC, card payments with 3-D Secure, alternative payment methods, and a customer account area—one codebase, built for multiple white-label brands. Merchant checkout — hosted payment pages, from a simple one-step checkout to a full multi-step flow with KYC and compliance screens. Back-office admin apps — internal tools that operations, compliance, and support use every day. A legacy admin is being replaced by a new one built on a modern stack. Backend changes — API endpoints and business logic in our Java/Spring Boot services, so a feature doesn't stop at the API boundary. Responsibilities Own features from ticket to production: UI, API contract, backend change, tests, release, and monitoring. Make frontend architecture decisions and drive ongoing migrations (legacy admin → new admin, older UI libraries → modern stack, stricter type checks). Build and improve AI-driven development workflows: project context files, shared skills and commands, automated PR review in CI, agent-driven end-to-end and visual checks. Review code — both teammates' and agents' — and keep the quality bar high. Work with product, design (Figma), QA, and backend engineers in a weekly release cycle. Must have 5+ years of commercial frontend development, 3+ years with React + TypeScript in production. Solid modern React: server-state management (TanStack Query or similar), client state (Zustand/Redux), forms, routing, performance. Comfortable with large legacy codebases, not just greenfield projects. Production backend experience in at least one language. Java or Kotlin with Spring is a plus; Node.js/TypeScript, Go, or others are fine. You can design a REST API, work with PostgreSQL (schema, indexes, migrations), and ship changes in our Java services. Agentic development is your daily way of working — with Claude Code, Codex, or a similar agent, not just autocomplete. Specifically: you keep project context files ( CLAUDE.md / AGENTS.md ) and write your own skills, commands, or subagents; you connect agents to real tools through MCP (issue tracker, GitHub, Figma, databases, browser); you work in a plan → implement → verify loop, where the agent proves its work with tests, type checks, and browser automation; you run agents in parallel and headless (for example, an AI review bot in CI); you review agent output critically and know the failure modes: invented APIs, silent scope creep, "fixing" a test instead of the code, leaked secrets, prompt injection; you keep up with how agentic tools change (new features, models, practices) and bring what works into your workflow . Testing: Playwright for end-to-end, Vitest/Jest for unit and integration tests. Security-minded: real money, personal data, auth tokens, iframes, and cross-origin messaging. Fluent Russian (the team's working language). English good enough to read and write technical texts: tasks, pull requests, and docs are in English. Nice to have Payments/fintech: card flows and 3-D Secure, alternative payment methods, KYC SDKs (e.g., SumSub), fraud prevention, open banking. Web3 on the frontend: viem / ethers, wallet connection, EIP-712 signing. Multi-brand (white-label) products, theming and design tokens. OpenAPI-generated clients (Orval), TanStack Router / Table. Kotlin, Spring Boot, NATS, Temporal. Docker, Kubernetes, GitHub Actions, GitOps (FluxCD), Cloudflare Workers. How we work with AI Every main repository has AI context files and repo-specific skills. An internal plugin marketplace ships team-wide skills (code review, release flow, back-office operations). AI code review runs on pull requests in CI. It advises, and humans decide. Custom MCP servers provide agents with secure access to internal systems. The company pays for AI tooling. What we offer Fully remote work in an international team. A team where AI-first engineering is the norm, not an experiment. Real influence on architecture and on how the team works. A product at real scale: millions of users and thousands of partner platforms. Competitive salary based on individual performance review. Transparent feedback culture that values ownership and visible impact. Recruitment process Apply with your CV. Application review. HR interview with a short technical screen. Technical interview. Final interview with the CTO. Offer.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. About the Role We're looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products. The role is end to end: you'll build the Agent workflows, define how we measure quality, keep them reliable in production, and shape where the product goes next. This role is for someone who has shipped LLM features to real users, stayed with them after launch, and can prove with data that their changes made things better. Job Scope: Build and own AI backend and Agent workflows - Design, build, and maintain multi-turn conversation systems, including context management, tool calling, knowledge retrieval (RAG), state management, and human handoff. Drive evaluation and continuous improvement - Define success criteria with Product, Design, and QA leads. - Turn production failures into evaluation samples and regression tests. - Measure the impact and side effects of every change before and after release. Diagnose problems across the stack - Isolate the root cause of failures: model judgment, knowledge gaps, abnormal tool responses, backend instability, or conflicting rules. - Apply the right fix for each cause rather than defaulting to prompt tweaks. Own production reliability - Handle timeouts, retries, graceful degradation, async jobs, and third-party dependency failures. - Make sure every issue is traceable through logs, every change is versioned, and every failure has a recovery path. Shape product and technical decisions - Give clear, reasoned positions on requirements, covering feasibility, cost, risk, and alternatives. - Propose better approaches and break work into phased, shippable deliverables. Communicate proactively and follow through - Share progress, blockers, ETAs, and next checkpoints without needing to be chased. - After launch, track real-world impact and leave clear documentation and handover materials. Requirements: - Production LLM/Agent experience at scale. You've built LLM or Agent features used by 10,000+ active users, and you've maintained and improved them after launch. - Strong backend engineering fundamentals. You're comfortable owning production code, APIs, data flows, and incident troubleshooting. Experience designing and implement backend services in Golang and integrate with LLMs and AI systems. - Real evaluation discipline. You've built evaluation sets, regression suites, and production monitoring, and you can explain how you confirmed an improvement was real rather than random fluctuation. - Ownership mindset. You make decisions, surface risks early, and don't consider a feature done until it's verified in production. - Web3 experience. Preferably 1 year of experience in a crypto, DeFi, or Web3 company (wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

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. Software Engineer II DevEx Location: San Mateo (Hybrid) DevEx team builds simulation tools that help PlayStation engineers develop, test, and troubleshoot software in a reliable, repeatable environment. These tools shorten feedback cycles, support earlier validation, and make complex development workflows easier to use. As a Software Engineer II, you will design and deliver capabilities that improve the accuracy, reliability, and usability of our simulation environment. Your work will include simulator functionality, integration with development and test workflows, automation, diagnostics, and the tools engineers use to configure and interact with the environment. You will own well-defined features from design through rollout, collaborate with engineering and quality teams across PlayStation, and turn recurring development and testing challenges into reliable, maintainable product improvements. What you’ll do: Design, implement, test, and document production-quality C++ features for simulation and developer tooling. Build and maintain software abstractions, simulated services, and client/server integrations that reproduce important system behaviors in a development environment. Improve core developer workflows such as environment setup, simulator startup, configuration, input handling, debugging, log collection, and failure recovery. Improve and contribute to build, dependency, packaging, and release workflows for the simulation platform using modern build tools, dependency managers, containers, and CI/CD pipelines. Create unit, integration, and end-to-end tests that catch regressions early and move high-value validation into continuous integration. Diagnose failures that cross process, library, container, and platform boundaries; produce clear root-cause analysis and durable fixes. Contribute to shared libraries and developer-facing interfaces including versioning, compatibility, migration guidance, and coordination with consuming teams. Write architecture notes, setup guides, troubleshooting steps, and release documentation that developers can use without direct support from the team. Partner with engineers, QE, product owners, and adjacent platform teams to define integration contracts, sequence cross-team changes, and deliver complete features. Participate in design and code reviews, give actionable feedback, and improve the team’s engineering practices through the work you ship. What we’re looking for: Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. 4+ years of professional software-development experience building systems software, platform software, developer tools, infrastructure or similar technical products. Strong modern C++ development skills and practical experience developing and debugging software on Linux. Experience debugging multi-process, client/server, or platform-integrated software using logs, traces, debuggers, and reproducible test cases. Experience building automated tests and integrating them into CI/CD workflows. Working knowledge of build systems, dependency management, source control, and release practices for a multi-repository codebase. Ability to take a defined problem from technical design through implementation, validation, documentation, and rollout. Clear written and verbal communication, especially when coordinating interfaces or diagnosing issues across team boundaries. It would be a plus if you have: Experience with simulation, emulation, hardware abstraction, service virtualization, or comparable development environments. Experience with containerized development using Docker, dev containers, WSL, or comparable tooling. Familiarity with CMake, package-management tools, CI systems, collaborative source-control workflows, or cross-platform build toolchains. Experience designing or integrating IPC, client/server API’s, shared libraries, or SDK’s. Experience developing complex platform software or software for resource-constrained environments. Experience supporting developer tools as a product: gathering feedback, measuring friction, improving diagnostics, and simplifying onboarding. Working knowledge of one or more additional languages used in tooling or platform development, such as Python, Rust, JavaScript, or TypeScript. 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. $163,700 — $245,500 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: Costa Mesa, United States 📍 Location: Costa Mesa, CA 📄 Employment Type: 6-Month Contract, with potential for conversion to full-time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must be authorized to work in the United States . Must be a U.S. Citizen and eligible to obtain and maintain an active U.S. Secret Security Clearance . Experience supporting aerospace, defense, or advanced aircraft development programs is highly preferred. Must be willing and able to work on-site in Costa Mesa, CA, Monday–Friday . Candidates outside Southern California must be willing to relocate and commit to the full-time on-site schedule. The team may potentially transition operations to the Long Beach, CA area in approximately one year. About the Role We are seeking a skilled Stress Analyst – Aircraft Structures to support the structural analysis of advanced aerospace vehicles and components. This is a hands-on structural analysis role focused on evaluating aircraft structures for strength, stability, fatigue, damage tolerance, and other structural performance requirements . The ideal candidate has strong experience with FEMAP and NASTRAN , understands both finite element and first-principles methods, and can independently take an analysis from applied loads through finite element modeling, margins of safety, and technical reporting. You will work closely with multidisciplinary engineering and manufacturing teams in a fast-paced aerospace development environment. What We’re Looking For We’re looking for a hands-on structural analyst who can independently own analyses from loads and assumptions through FEA, results interpretation, margins, and reporting . Strong experience with FEMAP and NASTRAN, combined with practical knowledge of aircraft structural mechanics and the ability to perform first-principles calculations, is essential. Experience with both metallic and composite structures, advanced aerospace vehicles, rapid prototyping, and manufacturing/integration environments will be particularly valuable. Key Responsibilities Perform structural analysis at the component, assembly, and aircraft levels . Develop and evaluate finite element models using FEMAP and NASTRAN . Analyze structures for: Strength Buckling Fatigue Damage tolerance Other applicable failure modes Evaluate load paths and structural response using both finite element methods and first-principles engineering calculations . Perform hand calculations to validate and supplement FEA. Analyze both metallic and composite aerospace structures . Evaluate composite structures for relevant failure modes, including delamination where applicable. Review structural loads, boundary conditions, material properties, and modeling assumptions. Develop, modify, and review NASTRAN input decks and solver cards . Interpret FEA results and calculate margins of safety and other structural performance metrics. Prepare clear technical documentation and analysis reports. Collaborate with engineering, manufacturing, integration, and other technical teams to resolve structural issues. Support prototype development, testing, manufacturing, and integration activities as needed. Communicate analysis assumptions, findings, risks, and recommendations to technical stakeholders. Required Qualifications Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline , or equivalent relevant experience. 4+ years of relevant experience in aerospace structural analysis, stress analysis, or a closely related field. Hands-on FEMAP experience is required. Experience with NASTRAN or a comparable structural finite element solver. Strong preference for candidates with direct experience working with NASTRAN input decks and cards . Strong understanding of aircraft structural mechanics and stress analysis . Experience with structural strength, buckling, fatigue, damage tolerance, load paths, and/or related structural analysis methods. Experience analyzing metallic and/or composite aerospace structures . Strong understanding of material properties and structural behavior. Ability to perform engineering hand calculations and apply first-principles methods . Experience taking an analysis from applied loads → finite element modeling → results interpretation → margins → technical reporting . Strong technical communication and problem-solving skills. Ability to work independently in a fast-paced engineering environment. Preferred Qualifications Experience with both metallic and composite aerospace structures . Experience with composite laminate analysis and delamination assessment . Experience with high-temperature materials or structures . Experience supporting hypersonic or other high-performance aerospace systems . Experience with clean-sheet aircraft development . Experience working on uncrewed aircraft or other advanced aerospace vehicles . Experience in rapid prototype development and manufacturing environments. Siemens NX proficiency. Hands-on manufacturing or integration experience. Broad experience across multiple aircraft programs. Practical aircraft knowledge or experience working directly with aircraft systems and structures. Work Environment This is a fully on-site engineering position in Costa Mesa, California, Monday through Friday . The role involves close collaboration with engineering, manufacturing, and integration teams and may include support for prototype manufacturing and vehicle integration activities.

Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Staff Infrastructure Engineer on this team will keep systems running, define what safe, observable, AI-assisted infrastructure operations look like in practice, and set the standard for how the broader engineering organization follows. _______________________________________________________________________ WHAT YOU'LL WORK ON The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like: - How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back? - How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously? - How do we build infrastructure that scales with usage-based billing workloads without manual intervention? - How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling? _______________________________________________________________________ RESPONSIBILITIES - Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability - Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team - Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability - Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation - Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written - Identify systemic risks and drive improvements that span team or organizational boundaries - Lead incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. - Mentor engineers across the team; your technical judgment should raise the floor for everyone. _______________________________________________________________________ QUALIFICATIONS - 8+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale - Deep AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents - Expert-level Terraform; you've designed reusable module patterns and set standards others follow - Experience building and owning observability stacks (Datadog, Grafana, or similar) at an organizational level — not just using them - Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience ownership - Kubernetes at an operational and architectural level - A track record of identifying systemic risks and driving improvements that span team or organizational boundaries - Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement - Strong written English; at Staff level, written communication is how you scale your influence across teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience WHAT SETS YOU APART You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected multiple teams or systems, and you know how to build consensus and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are. FIRST 90 DAYS You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and have begun shaping the team's technical direction. ONE YEAR OUTLOOK You will be the team's trusted authority on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right, and that standard will be visible beyond this team. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: On-site preferred; hybrid/remote considered for exceptional candidates (must be willing to work on-site at least one week per month) 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Relocation assistance is available for qualified candidates. Candidates working remotely or in a hybrid capacity must be willing to travel and work on-site in Montreal for at least one week per month . About the Role We are seeking a Senior FDIR-FSW Systems Engineer to support the design, analysis, and verification of Fault Detection, Isolation, and Recovery (FDIR) systems for advanced LEO and MEO satellite programs. In this role, you will work closely with multidisciplinary engineering teams to develop robust fault management strategies, analyze satellite systems and subsystems, and ensure flight software reliability through verification, validation, and testing. The ideal candidate has extensive experience with satellite flight software, systems engineering, and FDIR methodologies within mission-critical aerospace environments. Key Responsibilities Design and analyze Fault Detection, Isolation, and Recovery (FDIR) strategies for satellite systems. Perform systems engineering analysis for satellite platforms and subsystems. Conduct failure analysis using FMECA and Fault Tree Analysis (FTA) methodologies. Evaluate how failures propagate across system and subsystem levels. Develop fault management strategies by tracing failures from system-level to unit-level components. Support the design, verification, validation, and testing of satellite flight software (FSW) for FDIR. Collaborate with cross-functional engineering teams to ensure system reliability and mission success. Contribute to system integration, testing, and operational readiness activities. Apply industry standards and best practices for FDIR development and verification. Required Qualifications Bachelor's degree in Electrical Engineering, Computer Science , or a related engineering discipline. 10+ years of relevant engineering experience (advanced degrees may be considered in lieu of some experience). Experience supporting LEO and/or MEO satellite systems . Strong cross-functional collaboration and systems engineering experience. Experience analyzing satellite systems and subsystems. Familiarity with Failure Modes, Effects, and Criticality Analysis (FMECA) and/or Fault Tree Analysis (FTA) . Strong understanding of failure propagation across complex systems. Ability to decompose system-level failures to the unit level and evaluate their overall system impact. Knowledge of satellite Flight Software (FSW) and FDIR monitoring concepts. Experience testing hardware and software components supporting FDIR functionality. Preferred Qualifications Experience with ECSS-E-ST-70-41C standards. Experience with PUS-based FDIR verification, validation, and testing. Experience supporting satellite flight software development and mission assurance. Familiarity with ESA standards and aerospace systems engineering best practices.

Location: Costa Mesa, United States 📍 Location: Costa Mesa, California, USA 📄 Employment Type: 6-Month Contract 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be available to work 100% on-site in Costa Mesa, CA, Monday–Friday . Must be eligible to obtain and maintain an active U.S. Secret Security Clearance . Must have 5+ years of hands-on electrical engineering experience designing, testing, and troubleshooting complex PCB/board-level electronics. Strong experience with Altium Designer or an equivalent PCB design platform is required. About the Role We are seeking a hands-on Electrical Engineer – Propulsion / Engine Systems Electronics to support the design, development, integration, and testing of advanced electronics for propulsion and engine systems. This role will own the full PCB development lifecycle, from translating propulsion requirements into electrical designs through schematic capture, PCB layout, component selection, board bring-up, qualification testing, debugging, and system integration. The ideal candidate has strong experience across analog, digital, and power electronics and can develop reliable hardware for demanding vibration and temperature environments. Key Responsibilities PCB Design & Development Own full-cycle development of complex PCB assemblies for propulsion and engine systems. Translate system-level propulsion requirements into robust electrical designs. Perform schematic capture and support high-density PCB layout using Altium Designer or equivalent tools. Select components based on electrical, thermal, reliability, and environmental requirements. Lead board bring-up, debugging, testing, and propulsion-system integration. Ensure PCB designs meet electrical, mechanical, thermal, manufacturing, and reliability requirements. Propulsion & Engine Electronics Design and optimize electronics supporting propulsion and engine systems, including: Flight controller circuits Power distribution systems Power supplies Motor controller circuits Electromagnetic actuator circuits Support integration of electronics with propulsion hardware and associated control systems. Troubleshoot electrical issues identified during engine testing and system integration. Engineering Analysis Perform circuit simulations and detailed engineering analyses. Conduct Worst-Case Analysis (WCA) , thermal analysis, DFMEA, and component derating analysis. Evaluate electrical designs for reliable operation under extreme temperature, vibration, and other demanding environments. Use LTSpice or equivalent tools to validate circuit performance. Verification, Qualification & Testing Lead PCB and electronics bring-up activities. Develop and execute functional, Design Verification Testing (DVT), and qualification testing. Utilize laboratory equipment to troubleshoot and characterize electrical hardware. Perform root-cause and failure analysis supporting engine testing and field operations. Document test results, anomalies, corrective actions, and engineering findings. Cross-Functional Engineering Collaborate with Mechanical, Thermal, Software, Test, Systems, Quality, and Manufacturing Engineering teams. Conduct peer-level and cross-disciplinary design reviews. Provide electrical engineering support throughout development, integration, qualification, and testing. Required Qualifications Bachelor's degree in Electrical Engineering (BSEE) . 5+ years of professional experience designing, testing, and troubleshooting complex board-level electronic systems. Strong fundamentals in: Analog electronics Digital electronics Power electronics Hands-on experience with the complete PCB development lifecycle, including schematic capture, PCB layout, component selection, board bring-up, testing, debugging, and system integration. Deep proficiency with Altium Designer or equivalent schematic capture and PCB layout tools. Experience with LTSpice or equivalent circuit simulation tools. Strong hands-on experience with laboratory equipment, including oscilloscopes, logic analyzers, spectrum analyzers, function generators, DMMs, electronic loads, bench power supplies, thermal chambers, and test automation equipment. Familiarity with CAN, I²C, SPI, and Ethernet communication interfaces. Familiarity with common MCU/CPU architectures. Strong troubleshooting and root-cause analysis skills. Must be eligible to obtain and maintain an active U.S. Secret Security Clearance . Preferred Qualifications Master's degree in Electrical Engineering (MSEE) . Experience with MATLAB and/or Simulink for engineering data analysis, control-loop modeling, and system simulation. Experience designing electronics for propulsion, engine control, aerospace, or other high-reliability systems . Experience developing motor-control or actuator-control electronics . Experience designing power distribution and power conversion electronics. Experience with electronics designed for high-vibration and extreme-temperature environments . Experience supporting hardware qualification, environmental testing, and failure investigations. What We're Looking For We're looking for a hands-on electrical hardware engineer who can own complex electronics from requirements through PCB design, board bring-up, testing, and system integration . The strongest candidates will combine deep PCB design, analog/digital/power electronics, and laboratory troubleshooting experience with the ability to work directly with propulsion, mechanical, software, thermal, manufacturing, and test teams. Experience with Altium, LTSpice, power systems, motor/actuator control, DVT/qualification testing, and root-cause analysis will be especially valuable.

Location: Remote (Peru) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-loop workflows that identify and manage agent failures before they reach users. Instrument agent systems for traceability and observability, including agent actions, model behavior, token and cost usage, latency, and system performance. Design and maintain state and memory across long-running workflows and implement model routing, retries, idempotency, and other patterns required for reliable production systems. Build and deploy AI solutions using cloud platforms and services such as: Azure OpenAI, Azure AI Foundry, Azure AI Search, AKS, or related Azure technologies; Amazon Bedrock, Lambda, ECS, EKS, or related AWS technologies. Apply strong software engineering practices using Python, Java, APIs, containers, source control, automated testing, and CI/CD. Work directly with client engineering and security teams through architecture reviews, threat modeling, security reviews, audits, and other enterprise delivery requirements. Evaluate when agentic architectures are appropriate and when deterministic pipelines, traditional machine learning, or other approaches are more reliable and cost-effective. Turn successful approaches from client engagements into reusable patterns and solutions that can be applied across Zeal. Build trust with clients and internal teams through strong communication, technical judgment, problem-solving, and execution. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table We expect candidates to demonstrate a strong software engineering foundation, hands-on experience building agentic AI systems in production, and a keen interest in consulting. Agentic AI: Hands-on experience designing and shipping production agent systems involving tool and function calling, multi-step workflows, orchestration, task decomposition, or multi-agent architectures. You can explain the architectural decisions you made, what failed, and what you learned. Evaluation & Reliability: Real-world experience evaluating agent behavior and measuring system failures, including building evaluation harnesses, guardrails, grounding checks, human-in-the-loop controls, and other mechanisms that prevent or mitigate errors. Cloud Technologies: Deep hands-on experience with either Azure or AWS and the AI and infrastructure services surrounding them, such as Azure OpenAI, AI Foundry, AI Search, AKS, Amazon Bedrock, Lambda, ECS, or EKS. Software Engineering: Strong proficiency in Python or Java, API design, containers, automated testing, source control, and CI/CD, with enough machine learning knowledge to determine when traditional ML or deterministic approaches are more appropriate than an LLM. Enterprise Delivery: Experience delivering software within large organizations and working through requirements such as role-based access, data isolation, security reviews, compliance, change control, and production governance. Agent Observability: Experience designing systems for traceability, state and memory management, model routing, latency and cost visibility, retries, idempotency, and other operational concerns associated with production agent systems. Communication: Excellent verbal and written communication skills and the ability to explain complex AI systems, architectural decisions, risks, and tradeoffs to both technical and non-technical stakeholders. Problem-Solving: Strong technical judgment and a demonstrated willingness to challenge assumptions, including recognizing when an agentic solution introduces unnecessary complexity and a deterministic approach would be more appropriate. Experience with MCP and emerging tool-interoperability standards, evaluation frameworks such as RAGAS, fine-tuning, model distillation or optimization, and highly regulated industries such as financial services, insurance, healthcare, or manufacturing is helpful, but not required. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Egypt Workplace: Remote Specright is the first purpose-built, patented platform for Specification Management. Whether it's packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. We're looking for an Agentic Software Engineer (Full-Stack) to help us ship reliable, user-facing AI agent products to production — fast. You'll work at the intersection of modern AI tooling and strong software engineering discipline, building agentic experiences that our customers and internal teams rely on every day.This is not a research role. You will own production systems end-to-end: designing agent architectures, writing and reviewing code (often with agentic coding assistants), setting up rigorous evals, and operating what you build. If you care about making AI agents that actually work — not just demo well — this roleis for you. What You'll Do - Build and Ship Agentic Applications Design, develop, and deliver agentic products end-to-end — including chat-based interfaces, AI workflow tools, and internal copilots — that serve real users in production. - Leverage Agentic Coding Workflows Use modern agentic coding tools daily (e.g., Claude Code, Codex, Cursor, and similar assistants) to accelerate delivery while maintaining high code quality and engineering standards. - Design Agent Systems Architect agent internals: tool calling, multi-step orchestration, memory and state management, retrieval pipelines, permissions models, and failure recovery strategies. - Own Evals and Quality Build and maintain agent evaluation infrastructure — regression suites, scenario-based tests, golden traces, and both offline and online metrics — so you always know whether your agent got better or worse. - Implement Observability Instrument agents with production-grade observability: distributed tracing, prompt and version tracking, tool-call telemetry, and cost/latency monitoring. - Own Production Readiness Take responsibility for the full lifecycle: rollout plans, QA, guardrails, incident response, and continuous improvement of deployed agents. What You Bring (Must-Haves) - Proven full-stack engineering ability. You've shipped production software end-to-end — not justprototypes or demos. - Hands-on experience building LLM-powered agents that work in production. You've owned at least 1–2 agentic features or products through deployment and operation. - Deep familiarity with agentic coding best practices. You understand task decomposition, agent delegation, prompt hygiene, iterative loops, and how to review and steer agentic outputs effectively. - Practical experience with agent evals and tracing. You've gone beyond model benchmarking to build evaluation systems specifically for agent behavior — including trace-based debugging and regression detection. - Solid engineering fundamentals. Testing, debugging, security basics, performance optimization, and reliability are second nature to you. Nice-to-Haves - Proficiency in TypeScript/Node.js and/or Python, with experience in modern web stacks and startup-pace delivery. - Familiarity with agent tooling ecosystems: prompt/version stores, eval harnesses, tracing and telemetry platforms (OpenTelemetry, LangSmith, Datadog, Honeycomb, or similar). - Experience with RAG architectures: vector databases, indexing strategies, chunking approaches, and retrieval evaluation. - Experience designing tool APIs for agents: structured output schemas, idempotency, rate limiting, and error handling patterns that make agents more reliable. We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We are a 100% remote company and promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas, and information. It's more important to innovate than to worry about making mistakes. Specright is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

EDB provides a data and AI platform enabling organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud. The company supports over 1,500 customers globally, including government organizations, financial services, media, and IT companies, offering enterprise-grade open source technologies with high availability and mission-critical capabilities such as security, compliance controls, and observability. The position is 100% remote. The role involves designing, implementing, and maintaining the EDB Postgres Distributed (PGD) product, a multi-master distributed PostgreSQL solution providing high availability, geographic distribution, and active-active replication for enterprise workloads. Responsibilities: — Design, develop, test, and document new PGD capabilities — Maintain and improve performance and usability of existing PGD capabilities — Analyze business requirements and translate them into executable tasks — Provide world-class production support to PGD customers — Participate in code reviews and collaborate with a globally distributed team Requirements: — 5+ years of software engineering experience — Strong proficiency in C programming — Experience with PostgreSQL internals (storage engine, WAL, replication, catalog system, or extension development) — Understanding of distributed systems concepts including replication topologies, consensus, conflict resolution, eventual consistency, and failure modes — Experience with multi-version/multi-branch codebases and active backporting workflows — Familiarity with build systems and CI/CD practices — Comfortable working with Git on large, long-lived codebases with complex branching — Strong debugging and performance analysis skills Advantages: — Prior contributions to PostgreSQL or other open-source database projects — Experience with logical replication, logical decoding, or custom replication solutions — Knowledge of distributed consensus algorithms such as Raft — Familiarity with PostgreSQL extension API and hook system — Experience with high availability architectures and failover mechanisms — Experience with Python and Rust — Experience with major cloud providers: AWS, Azure, GCP — Experience with Ansible, Docker, and Kubernetes EDB supports employee well-being with benefits including access to health and wellness resources and Wellness Fridays through December 2026. EDB is an equal opportunity employer committed to diversity, inclusion, trust, and respect. EDB does not accept unsolicited resumes from recruitment agencies without a signed agreement.

Location: Independence, Missouri, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Independence Missouri Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Birmingham, Alabama, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Birmingham Alabama Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior RF Engineer on the WHOOP Hardware team, you will support the development, integration, validation, and delivery of the wireless systems that power WHOOP's wearable products. Working closely with Electrical, Firmware, Mechanical, Manufacturing, and Product teams, you will independently drive RF development and validation activities from early prototypes through production. WHOOP products rely on highly integrated wireless systems operating within compact and challenging wearable form factors. You will bring strong hands-on RF test and debugging experience to characterize system performance, identify root causes of wireless issues, develop robust validation methodologies, and ensure designs meet performance, regulatory, and manufacturing requirements.   RESPONSIBILITIES - Own RF system characterization, validation, and debugging from early prototypes through production. - Define validation plans, test methods, and acceptance criteria for conducted, radiated, and system-level wireless performance. - Characterize transmitter, receiver, antenna, coexistence, interference, desense, and OTA performance, including return loss, antenna efficiency, TRP/TIS, and on-body performance as applicable. - Develop repeatable test setups, fixtures, scripts, and automated measurement methods to improve validation coverage, efficiency, and data quality. - Analyze RF performance data, identify failure modes and root causes, and drive corrective actions with Electrical, Firmware, Mechanical, and Manufacturing teams. - Guide RF-critical schematic and PCB design, including matching networks, grounding, shielding, routing, component selection, and antenna integration. - Apply RF circuit, electromagnetic, and system analysis using tools such as CST, HFSS, MATLAB, Python, or similar tools. - Establish production test methods, limits, and correlation studies while supporting manufacturing troubleshooting and wireless regulatory certification. - Advance next-generation RF architectures, antenna technologies, validation methods, and manufacturing techniques while communicating technical risks and recommendations across engineering teams. - Travel up to 15%, domestically and internationally. QUALIFICATIONS - BS or higher in Electrical Engineering or related field. - 5+ years of relevant RF or wireless engineering experience. - Demonstrated expertise in RF system characterization, validation, debugging, and root-cause analysis. - Background in conducted and radiated wireless testing, including transmitter performance, receiver sensitivity, antenna performance, coexistence, and desense. - Hands-on proficiency with RF lab equipment, including spectrum analyzers, signal generators, VNAs, oscilloscopes, wireless communication testers, and calibration tools. - Familiarity with antenna and OTA measurements, including return loss, efficiency, radiation performance, TRP, and TIS. - Strong command of RF and electrical engineering principles, including impedance matching, transmission lines, circuit design, PCB layout, grounding, shielding, and antenna integration. - Working knowledge of RF test automation, data analysis, or electromagnetic simulation using tools such as Python, MATLAB, LabVIEW, CST, or HFSS. - Excellent communication skills, with experience supporting product validation, manufacturing, and wireless regulatory certification. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: New Jersey, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Vineland New Jersey Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.