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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Compliance Engineering team is responsible for preparing Reddit’s platforms for evolving regulatory requirements. We’re building products that establish the foundation of trust in the Reddit platform, while partnering closely with teams across the company to ensure our platforms and features meet the highest standards. Engineers on this team will thrive in dynamic, ambiguous problem spaces and work across multiple domains and technology stacks. What You’ll Do: Shape the future of Reddit by adapting our platforms to an evolving privacy, security, and regulatory landscape Partner with product, design, and engineering teams across the company to build trusted, compliant experiences for millions of users Join a highly visible team where you’ll influence both technical and product strategy, and help define an entirely new product space Own product areas and shape strategy end-to-end: from technical design and coding to testing, experimentation, analysis, and launch Lead high-impact, cross-functional initiatives that are critical to Reddit’s business and platform integrity Raise the bar for engineering by improving workflows, setting standards, and mentoring the next generation of engineers Qualifications for this role: 5+ years backend development experience with multiple parts of the backend stack, from databases to networking to efficient computing. We develop with Go, Python, Postgres, Redis, Thrift, GraphQL and deploy to Docker/k8s on AWS. Experience as a tech lead on projects and teams with 3+ backend engineers Ability to design and implement complex distributed systems operating under high load. You must be self-directed, innovative, and biased towards action in fast-paced environments. You live to build new things and thrive in ambiguity and even failure. Excellent communication skills. You must be able to collaborate effectively with teams in a fully-remote environment, and discuss complex topics with technical and non-technical audiences. Experience mentoring engineers, owning team processes, and leading cross-functional projects is preferred. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Nicosia Job Overview We are looking for a Senior Performance QA Engineer with experience in GameDev to join our World of Warships PC team. This position is open in our Belgrade or Nicosia office . In this role, you’ll focus on performance testing and automation, helping us identify performance bottlenecks and ensure a smooth and stable experience for our players. You’ll work closely with QA and development teams to investigate, analyze, and improve game performance. If you’re enjoy sharing your expertise and learning from others, and want to contribute to the quality of a large-scale PC game, we’d love to hear from you. Reports to Lead Automation QA Engineer What will you do? Develop and maintain automated tests for functional, performance, and stability testing on Python Develop and maintain core functionality of the automation framework Analyze automated test results and investigate failures Performance testing and profiling of game client and backend services Maintain documentation for existing automated tests, frameworks, and tools Collaborate with other teams and provide support based on automated test results Participate in the development and maintenance of CI/CD pipelines and related tools Work with different teams as internal customers, understand their needs, and provide automation solutions Participate in code reviews and contribute to improving automation code quality What are we looking for? 3+ years of experience in Performance Testing or Performance QA 3+ years of experience in Automation QA or a similar position 1+ year of commercial experience in Python-based automated testing, including writing performance test suites using pytest Experience in Performance testing tools and frameworks (k6, load testing, profiling tools) Experience in analyzing and optimizing game performance (PC games) Experience with Elasticsearch for log collection and analysis Experience with CI/CD systems (Jenkins, TeamCity) Knowledge of PC architecture basics and component interaction (CPU, GPU, memory, disk I/O) Understanding of performance metrics: FPS, frame time, CPU/GPU utilization, memory consumption Knowledge of the theory and methods of software testing and performance testing methodologies Upper-Intermediate (B2) or higher English knowledge What additional skills will help you stand out? Experience in game development or game engines (Unreal, Unity) Experience in log parsing and data analysis with pandas and NumPy Experience in Python profiling and optimization (cProfile, line_profiler) Experience with PostgreSQL performance analysis and query optimization Experience in Docker, docker-compose Experience in monitoring tools (Grafana, Prometheus) Experience with Python async/await and multiprocessing Experience in designing and maintaining performance test infrastructure Experience in Linux-based systems Mentoring experience in QA team Work mode This position is open in our Belgrade or Nicosia office During the probation period: onsite work After the probation period: onsite or hybrid (3 days per week in the office) This role is eligible for relocation & immigration support Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include: 21 days annual leave (additional days based on years of service: up to 25 days) Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave (10 days top-up to statutory allowance per year) Maternity Leave (18 weeks top-up to statutory allowance per case) Career development and education opportunities within the company English Language courses fully covered by the company upon Manager’s approval Private Health Care Mental well-being program (iFeel) Onsite gym and spa Free parking close to the Nicosia offices, based on availability Free drinks-equipped kitchen in every floor building Eurobank benefits (if applicable) Employee discounts (e.g. restaurants, bars, etc.) Personal Gaming Account Onsite canteen with subsidized prices for food and drinks Company events, Social Clubs Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Remote (US) About Ondo Capital markets are moving onchain. Ondo Finance is building the products and infrastructure that will bring them there. We create institutional-grade, blockchain-enabled investment products and services, including tokenized treasuries, tokenized stocks and ETFs, and new trading experiences built for global, always-on markets. We are the category leader by AUM, well-capitalized, and backed by investors including Founders Fund, Coinbase Ventures, Pantera Capital, and Tiger Global. The underlying financial infrastructure is complex. We believe the product experience should not be. About the Web team The Web team builds the product layer that makes Ondo's financial infrastructure accessible. We own the experiences through which users onboard, establish eligibility, move money, mint and redeem Ondo Stocks, manage portfolios, and use products across multiple blockchains. We are a small team of exceptional engineers with broad ownership and a high bar for craft, judgment, and execution. We turn complexity across compliance systems, backend services, smart contracts, and external partners into products that feel clear and dependable. Engineering on this team is distinguished by: Product taste. We simplify complex financial workflows without hiding the details that matter. End-to-end ownership. Engineers shape, build, launch, and improve the product. Speed with confidence. We scope sharply, move quickly, and hold a high quality bar. Security and correctness. Access control, auditability, privacy, and failure behavior are design constraints from the start. High agency and low ego. We act without waiting, invite direct critique, and make the team better. About the role As a Full-Stack Engineer focused on Growth, you will design the foundations of how users discover, understand, adopt, and return to Ondo's products. You will own the systems and product experiences that turn user insight into measurable growth across acquisition, activation, engagement, and retention. Your scope spans the full growth loop—from public websites and user-facing product journeys to experimentation, analytics, content systems, backend workflows, and third-party platforms. You will set technical direction, define the measurement foundations, and evolve these systems as our products, markets, and scale change. This is a foundational ownership role for a senior engineer. You will turn ambiguous growth opportunities into clear hypotheses, durable architecture, and polished product experiences. You will partner closely with Product, Design, Marketing, Data, and Engineering while owning the judgment: where friction matters, what to build, how to measure it, and when the evidence calls for a different direction. The goal is not experiment volume. It is to understand users better than anyone else and turn that understanding into durable product improvements and measurable business impact. What you'll do Own the growth engineering strategy across discovery, acquisition, activation, engagement, and retention—from identifying the highest-leverage opportunities through technical design, launch, measurement, and iteration. Design and evolve the foundations for experimentation, event instrumentation, attribution, funnel analysis, content, and lifecycle experiences so the team can move quickly and trust what it learns. Build polished user-facing experiences and the backend systems, data models, APIs, webhooks, and third-party integrations behind them. Work directly with users and product data to identify friction, form clear hypotheses, and make disciplined product and technical bets. Turn validated learning into durable product capabilities and measurable business impact—not one-off experiments. Partner with Product, Design, Marketing, and Data to lead launches, localization, and new ways to grow adoption across Ondo's products. Improve organic discovery and conversion through technical SEO and AEO, performance, structured content, and clear user journeys. Raise the level of the team through clear writing, thoughtful code review, strong operational ownership, and effective use of modern AI engineering tools. What you bring 4+ years of experience building and operating production full-stack applications with React, Next.js, and TypeScript. Experience driving measurable acquisition, activation, engagement, or retention outcomes through growth engineering, product-led growth, consumer product, ecommerce, or similarly data-informed product work. Experience building and operating serverless systems on AWS, including Lambda and adjacent services such as API Gateway, EventBridge, or SQS. Strong experience using BigQuery and product analytics data to model funnels, investigate user behavior, and measure product and business impact. Strong fundamentals in API and data-model design, relational databases, event-driven systems, event instrumentation, experimentation, testing, and observability. A record of owning product work end to end—not only implementing experiments or specifications handed to you. Product taste: you can find the simplest experience that solves the user's problem without ignoring the complexity or edge cases underneath it. Data fluency and intellectual honesty. You can define useful metrics, distinguish signal from noise, and change direction when the evidence challenges your hypothesis. The ability to communicate clearly, learn unfamiliar domains quickly, and create alignment across engineering, product, design, marketing, and data partners. High agency and low ego. You move important work forward, invite strong critique, and care more about the outcome than whose idea wins. Preferred qualifications Experience building fintech, trading, crypto-native, or other high-consideration products where earning user trust is essential. Experience with lifecycle marketing, CRM, CMS, experimentation, localization, or analytics platforms. Familiarity with AEO, structured content, international SEO, and growth across multiple regions or languages. Experience applying AI to prototyping, personalization, analytics, content operations, or other growth workflows. We do not expect every strong candidate to arrive with deep crypto or every growth specialty listed above. We do expect curiosity, strong product and engineering fundamentals, and the ability to turn learning into shipped improvements quickly. What we offer Challenging, high-impact work helping define how a global audience discovers and adopts a new category of financial products. Competitive compensation including salary, future token rights, and/or equity, according to your preferences. Full medical, vision, and dental benefits, plus a flexible vacation policy. A remote-first environment with meaningful autonomy and influence over product and technical direction. Exceptional colleagues from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap. Backing from leading crypto experts and investors, including Pantera Capital, Founders Fund, and Coinbase Ventures.

Location: United States (Remote) Workplace: Remote SUMMARY Infrastructure Foundations builds and operates the multi-cloud platform underneath Temporal Cloud, turning the complexity of AWS, Google Cloud (GCP), and Azure into one cohesive platform the rest of Temporal builds on. Every cell we run is provisioned, managed, and safely changed by systems this team owns. When a customer's workflow runs, it runs on our work. We are heading into the next stage: Kubernetes-based infrastructure platforms built for the next orders of magnitude of growth.   We are looking for a Senior Software Engineer to own big pieces of that platform end to end. You will take a high-level problem, shape it into a well-designed solution, build it (mostly in Go), ship it safely, and help run it in production. There is a lot of greenfield here: new cloud footprints, high availability and disaster recovery, declarative infrastructure, and the tooling every other engineering team uses to ship.   What makes this team different   - Real multi-cloud, not multi-cloud on a slide. We run across AWS, GCP, and Azure and keep extending the platform to new providers. You will work through the differences between clouds, not around them. - We build Temporal Cloud with Temporal. Cell creation, component deployment, and cloud provisioning run as Temporal workflows. You will get deep in both infrastructure and the product itself. - Real greenfield next to real production. HA/DR for our control infrastructure, a declarative model for the whole platform, and new regions, all while keeping a live platform reliable. - Everything sits on top of it. Nearly every team at Temporal depends on what we build, so the impact of your work shows up quickly.   Responsibilities   - Multi-cloud platform: Build the provider-specific pieces behind one consistent platform, from EKS, GKE, and AKS cluster differences to IAM, networking, and quotas. Help stand up new regions and extend the platform to new providers end to end, so other teams never have to think about which cloud they are on. - Cluster and cell lifecycle: Own the systems that provision, upgrade, recover, and decommission Kubernetes clusters, node pools, and Temporal Cloud cells. Become the engineer who can implement any component in this area. - Workflows and APIs: Write the Go services, Kubernetes controllers, and Temporal workflows behind automated cell creation, component deployment, and cloud resource provisioning. Keep the APIs straightforward for the teams that use them. - Declarative infrastructure: Ship versioned component definitions that cover Kubernetes workloads and the cloud resources behind them. Build drift detection, change previews, and safe reconciliation so engineers know what is deployed and what is about to change. - Safe change: Build progressive rollouts, rollout sequencing, and change visibility into the platform, and keep blast radius small by design. Estimate the performance and reliability impact of a design with data before it ships. - Reliability and operations: Join the team's on-call rotation and step up during incidents. Get to the bottom of the "mysterious" issues by digging into Kubernetes clusters, workflow histories, and dashboards, then fix the system so it doesn't happen again. Actively prevent tech debt and cut toil with better runbooks, metrics, and automation. - Ownership and growth: Lead projects on your own, from clarifying fuzzy requirements to pulling in the right people to a well-tested launch. Contribute to the design of the platform's major pieces, write clear design docs, and be someone others seek out for code reviews on significant changes. Mentor less senior engineers and help interview the next ones. - Collaboration: Partner with Traffic, Control Plane, Developer Productivity, Security, and service owners to deliver secure defaults.   Qualifications - 8+ years building software, with significant time on infrastructure or distributed systems in production. - Hands-on experience building and operating Kubernetes-based infrastructure at scale, including cluster lifecycle, upgrades, resource management, and recovery under failure. - Strong coding skills in Go or another systems language, and interest in making Go your primary language. - Deep experience with at least one major public cloud (AWS, GCP, or Azure), including IAM, networking, and quotas. Multi-cloud experience is a big plus. - A record of owning production systems: on-call, incident response, postmortems, and the fixes that follow. - A record of leading projects on your own, from an unclear problem to a well-designed, well-tested result. - Clear written communication. You can explain a design and its tradeoffs in a doc others can act on. - Bachelor's degree in Computer Science or a related field, or equivalent practical experience.   Required Skills - Designing with provider differences in mind: knowing where clouds diverge and building so those differences don't leak into the teams on top. - Distributed-systems fundamentals, including concurrency, consistency, failure handling, and idempotency. - Infrastructure as code and declarative thinking with Terraform, Helm, or similar tools, and a working understanding of reconciliation. - Operational judgment: knowing when to ship, when to slow down, and how to roll back.   Preferred Experience - Multi-cloud production experience is the biggest plus for this role. Building or operating infrastructure on more than one of AWS, GCP, and Azure, especially standing up a new provider or region, or abstracting the differences between them. - Writing Kubernetes controllers or operators, or working with cloud resource controllers like Crossplane or AWS Controllers for Kubernetes (ACK). - Running Karpenter, Helm, and Terraform in production. - High availability and disaster recovery work, such as multi-region data layers, automated recovery, and deployments built to survive regional outages. - Temporal or other durable workflow orchestration.   Tech you'll work with - Languages: Go (primary) - Infrastructure: Kubernetes (EKS, GKE, AKS), Karpenter, Helm, Terraform, and Temporal (we dogfood extensively) - Cloud providers: AWS, GCP, Azure Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: USA Workplace: Remote ACCOUNT EXECUTIVE (US, REMOTE) Our client — Industrial Fire Prevention & Predictive Maintenance Account Executive (US, Remote) Our client — Industrial Fire Prevention & Predictive Maintenance ABOUT THE COMPANY Our client owns the full stack from thermal-camera hardware to AI monitoring software, protecting high-risk industrial facilities before fires, equipment failures, and costly downtime happen. They already protect 50+ facilities across 9 countries — with zero customers lost in three years — and are just getting started in the US. Despite a compact team, they've invested heavily in a mature, AI-powered GTM tech stack that most teams five times their size don't have. As one of the first commercial hires in the US, you won't be building from bare metal — you'll have serious tools from day one, direct access to leadership, and a real opportunity to shape how they sell here as the team scales. ABOUT THE ROLE We're hiring the founding US Account Executives to build our client's sales engine from the ground up. This is a hunter's seat: you'll generate and close your own pipeline, primarily through your existing network and credibility in industrial markets, with growing support from inbound and SDR efforts as the team matures. You'll work closely with Sales, Marketing, and Implementation teams, and report into the SVP of Sales. What you'll do: - Build and manage your own pipeline of industrial accounts from day one, using your personal and professional network as the primary engine - Run a full-cycle, consultative sales process with plant, operations, and EHS stakeholders — from first conversation through close and expansion - Translate a fire-prevention and predictive-maintenance value proposition into commercial terms that resonate with technical, risk-conscious buyers - Own accurate forecasting and CRM hygiene as you help define the sales process for the reps who come after you - Represent the company at trade shows, on customer sites, and in front of the partners and integrators who influence your market WHAT WE'RE LOOKING FOR - A genuine hunter — someone who has built pipeline from scratch using their own network, not someone who has relied primarily on inbound or handed-off leads - Proven experience selling technical or safety/monitoring solutions directly into industrial plant environments, with real credibility among plant and operations buyers - A track record of consistent quota attainment on deals in the tens of thousands of dollars, with sales cycles measured in months - Comfort operating with ambiguity — the playbook isn't fully built yet, and you'll help write it - Disciplined CRM and forecasting habits A strong plus if you bring: - Experience in industrial verticals such as wood processing, recycling, or paper - Relationships with insurers, brokers, integrators, or OEMs - A background in fire protection, industrial automation, condition monitoring, predictive maintenance, machine vision, safety technology, or insurance loss control - Experience with multi-site account rollouts WHAT'S ON OFFER - Uncapped variable compensation and meaningful equity — your earning potential is not capped - The chance to be a founding member of the US commercial team, with a clear path to leadership as the team scales - Direct influence on pricing, pitch, and go-to-market strategy from day one - A modern, AI-enabled sales stack that gives you real leverage in the field - Remote flexibility across the US, with travel to customer sites, trade shows, and team gatherings INTERVIEW PROCESS 1. Initial screening conversation 2. 1-hour interview with the Sales hiring manager 3. Roundtable with three members of the GTM team 4. Role-play exercise 5. Final conversation with leadership Our client is a mission-driven deep-tech company with proven product-market fit and measurable safety and uptime impact for its customers. Early commercial hires get high ownership, direct access to leadership, and a real opportunity to grow into leadership as the US team scales.

Location: Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Role Overview As a Senior Software Engineer within our Platform team, you will help build and operate the platform underpinning our exchange and trading systems. You will adapt and evolve our infrastructure and platform standards to support a highly available, low-latency exchange, partnering closely with exchange engineers and engineering leads to enable rapid innovation without compromising stability or security. This role requires a balance of deep hands-on software engineering and systems thinking. You will build tools, services and automation that support the exchange—from load-testing environments and mock integrations to monitoring and automated recovery. You will own projects from ideation to production and help operate the platform as the exchange goes live. The balance of coding and infrastructure work varies by project, but you should be comfortable independently developing new software as well as improving existing systems, championing best-in-class platform standards and mentoring mid-level engineers. On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality. Responsibilities Design, build and maintain software tools, services and automation that solve complex infrastructure, reliability and developer experience challenges. Design, build and maintain highly available cloud-native infrastructure, ensuring the platform scales reliably with our growing user base. Build and optimize CI/CD pipelines and developer tooling to eliminate friction in the software delivery lifecycle. Develop load-testing environments and supporting software, including mock services and integrations. Implement team-level standards for AI-augmented development, using effective prompting and validation practices to increase velocity without sacrificing code quality. Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and assist in tracking team productivity metrics. Implement and maintain platform security safeguards and compliance standards to protect the integrity of the firm’s systems. Contribute to the system observability roadmap by implementing monitoring, tracing, alerting and automation to improve operational reliability. Partner with product and engineering teams to translate technical requirements into scalable platform solutions. Mentor junior and mid-level engineers, participate in the on-call rotation, lead incident response for team-owned services and deliver engineering improvements that prevent recurring incidents. Skills 5+ years of experience in software, backend or platform engineering, with a track record of delivering production software and building scalable, cloud-native environments. Strong software development skills, including the ability to independently design, build, test and deploy services or substantial tools from scratch. Deep hands-on Kubernetes experience, including operating production workloads, troubleshooting failures, and designing for high availability and efficient scaling. Strong hands-on experience with AWS and infrastructure as code using Terraform. High proficiency in Java and Python; Go is a plus. You should be comfortable bridging the gap between infrastructure and application logic. Understanding of distributed systems and the trade-offs between low latency, high availability, scalability and operational complexity. Experience building mature CI/CD pipelines and working with observability tools such as Prometheus, Grafana or Datadog. Strong proficiency in using AI collaborators such as Claude Code, Cursor or GitHub Copilot to ship production code and improve personal development workflows. Ability to evaluate AI-generated code for security gaps or architectural errors and implement rigorous testing strategies. Proven ability to take ownership of complex projects in a fast-paced environment, proactively identifying improvements and balancing speed with architectural health. Strong communication skills and the ability to collaborate effectively with distributed engineering and product teams. Preferred Qualifications Experience in high-growth startup environments. Experience with financial systems, exchanges, real-money transactions or regulatory compliance. Background in building internal developer tools, CLI applications or infrastructure automation services. Experience developing load-testing environments, mock services or automated recovery systems. Experience leading small project groups or “squads” within a larger team. Depending on the role, your interview and onboarding e xperience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. #LI-Remote #LI-AL1 By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Role Overview As a Staff Software Engineer within our Platform team, you will help define the technical direction of the platform underpinning our exchange and trading systems. You will lead the design and evolution of our infrastructure and platform standards to support a highly available, low-latency exchange, partnering closely with exchange engineers and engineering leads to enable rapid innovation without compromising stability or security. This role requires a balance of deep hands-on software engineering, systems thinking and technical leadership. You will lead complex projects that support the exchange—from load-testing environments and mock integrations to monitoring and automated recovery. You will turn ambiguous requirements into practical designs, own delivery from ideation to production and help operate the platform as the exchange goes live. The balance of coding and infrastructure work varies by project, but you should be comfortable independently developing new software as well as improving existing systems, setting platform standards and mentoring engineers across experience levels. On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality. Responsibilities Lead the design and development of software tools, services and automation that solve complex infrastructure, reliability and developer experience challenges. Define and evolve the architecture of highly available cloud-native infrastructure, balancing performance, reliability, security and cost as the platform grows. Set technical direction for CI/CD pipelines and developer tooling, remaining hands-on in delivering improvements to the software delivery lifecycle. Lead the development of load-testing environments and supporting software, including mock services and integrations. Establish and evolve standards for AI-augmented development, using effective prompting and validation practices to increase velocity without sacrificing code quality. Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and help teams evaluate the impact on quality and productivity. Guide the design and implementation of platform security safeguards and compliance standards to protect the integrity of the firm’s systems. Shape the system observability roadmap and lead improvements to monitoring, tracing, alerting and automated recovery. Partner with exchange, product and engineering leads to resolve architectural trade-offs, align priorities and deliver scalable platform solutions. Mentor engineers across experience levels, lead technical design discussions and raise engineering standards across teams. Participate in the on-call rotation, lead incident response for team-owned services and drive engineering improvements that prevent recurring incidents. Skills Significant experience in software, backend or platform engineering, with a track record of leading complex technical projects and delivering production software and scalable, cloud-native environments. Deep software development expertise, including the ability to independently design, build, test and deploy services or substantial tools from scratch and guide others through complex implementation decisions. Deep hands-on Kubernetes experience, including designing and operating production environments, troubleshooting complex failures, and establishing patterns for high availability and efficient scaling. Strong hands-on experience with AWS and infrastructure as code using Terraform, including making architectural decisions across complex environments. High proficiency in Java and Python; Go is a plus. You should be comfortable bridging the gap between infrastructure and application logic. Deep understanding of distributed systems and the ability to make and explain trade-offs between low latency, high availability, scalability and operational complexity. Experience shaping CI/CD and observability approaches, with hands-on knowledge of tools such as Prometheus, Grafana or Datadog. Strong proficiency in using AI collaborators such as Claude Code, Cursor or GitHub Copilot to ship production code and improve engineering workflows. Ability to evaluate AI-generated code for security gaps or architectural errors and establish rigorous testing and validation practices. Proven ability to turn ambiguous problems into a clear technical direction and deliver improvements across team boundaries, balancing immediate needs with long-term architectural health. Strong communication skills, including the ability to explain complex technical decisions, influence without formal authority and collaborate effectively with distributed engineering and product teams. Experience mentoring senior engineers and building alignment around technical standards and architectural decisions. Preferred Qualifications Experience in high-growth startup environments. Experience with financial systems, exchanges, real-money transactions or regulatory compliance. Background in designing and building internal developer platforms, tools, CLI applications or infrastructure automation services. Experience developing load-testing environments, mock services or automated recovery systems. Experience leading technical initiatives spanning multiple teams or evolving platform architecture through significant growth or change. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. #LI-Remote #LI-AL1 By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Belgrade Job Overview We are looking for a Senior Performance QA Engineer with experience in GameDev to join our World of Warships PC team. This position is open in our Belgrade or Nicosia office . In this role, you’ll focus on performance testing and automation, helping us identify performance bottlenecks and ensure a smooth and stable experience for our players. You’ll work closely with QA and development teams to investigate, analyze, and improve game performance. If you’re enjoy sharing your expertise and learning from others, and want to contribute to the quality of a large-scale PC game, we’d love to hear from you. Reports to Lead Automation QA Engineer What will you do? Develop and maintain automated tests for functional, performance, and stability testing on Python Develop and maintain core functionality of the automation framework Analyze automated test results and investigate failures Performance testing and profiling of game client and backend services Maintain documentation for existing automated tests, frameworks, and tools Collaborate with other teams and provide support based on automated test results Participate in the development and maintenance of CI/CD pipelines and related tools Work with different teams as internal customers, understand their needs, and provide automation solutions Participate in code reviews and contribute to improving automation code quality What are we looking for? 3+ years of experience in Performance Testing or Performance QA 3+ years of experience in Automation QA or a similar position 1+ year of commercial experience in Python-based automated testing, including writing performance test suites using pytest Experience in Performance testing tools and frameworks (k6, load testing, profiling tools) Experience in analyzing and optimizing game performance (PC games) Experience with Elasticsearch for log collection and analysis Experience with CI/CD systems (Jenkins, TeamCity) Knowledge of PC architecture basics and component interaction (CPU, GPU, memory, disk I/O) Understanding of performance metrics: FPS, frame time, CPU/GPU utilization, memory consumption Knowledge of the theory and methods of software testing and performance testing methodologies Upper-Intermediate (B2) or higher English knowledge What additional skills will help you stand out? Experience in game development or game engines (Unreal, Unity) Experience in log parsing and data analysis with pandas and NumPy Experience in Python profiling and optimization (cProfile, line_profiler) Experience with PostgreSQL performance analysis and query optimization Experience in Docker, docker-compose Experience in monitoring tools (Grafana, Prometheus) Experience with Python async/await and multiprocessing Experience in designing and maintaining performance test infrastructure Experience in Linux-based systems Mentoring experience in QA team Work mode This position is open in our Belgrade or Nicosia office During the probation period: onsite work After the probation period: onsite or hybrid (3 days per week in the office) This role is eligible for relocation & immigration support Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Remote Workplace: Remote About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    ABOUT THE TEAM The Risk & Fraud team exists to protect the thing that makes a marketplace work: trust. Every transaction we process depends on us drawing a clean line between genuine players and bad actors, without getting in the way of the good ones. The work spans both ends of the problem: the day-to-day defense — alert review, chargeback management, and escalations from Customer Support — and the longer game of partnership strategy, fraud program design, KPI ownership, and staying ahead of how fraud evolves. We don't treat fraud as a cost centre — we treat it as a discipline. ABOUT YOUR ROLE As the Head of Risk & Fraud, you own the line between trust and loss for the entire business. You're not refereeing from the stands. You set the fraud strategy across all our products, you lead the team, and you own the decisions that actually move the number — which partners we work with, which models we trust, where we draw the risk line, and what we tell Product when a new feature opens a door we'd rather keep shut. You're the person the stakeholders turn to when the question is "how exposed are we, and what are we doing about it?" and you answer with evidence, not vibes. RESPONSIBILITIES - Owner of the Number: You own the fraud P&L. Payout rate, chargeback rate, approval rate, false-positive rate — across the business, these are yours. You're the one who can explain every movement and who's accountable for the trend line. - Leader of the Team: You won't just run the team; you'll build a strong second line of leadership beneath you and develop the people in it, so the function stays sharp whether or not you're in the room. - The Strategy Setter: You own the fraud-reduction roadmap. You decide what we build versus buy, where we invest, and how the multi-product fraud program is designed — then you make sure it actually ships. - The Partnership Principal: You own the commercial and strategic relationships with our fraud-prevention partners. RFPs, champion-challenger tests, SLAs, and the negotiations themselves sit with you. - The Cross-functional Bridge: You're the operational partner to Product, Engineering, Finance, and Legal. When the business builds something new, you make sure fraud risk is designed in from the start — not patched in after the first loss. - The Compliance Anchor: You own our risk-side regulatory and compliance obligations — PSP requirements, KYC, and law-enforcement requests — and make sure we're defensible as we scale across markets. - The Final Word on Risk: You're the top escalation point for the hardest risk calls, and you represent Risk & Fraud in cross-functional and leadership forums with structure, data, and a clear point of view. Requirements - - A Proven Track Record: You have solid experience in fraud, risk, or financial crime (think 4+ years in a fast-paced or high-growth environment) and have led a team before. What matters most is the scope you've owned — you've been accountable for fraud outcomes end to end, not just clearing queues. - An Owner of Outcomes: You don't just talk about "reducing fraud" — you have the receipts. You can point to specific times you moved fraud rate, chargeback rate, or approval rate through structural change, and explain the trade-offs you made to get there. - A Commercial Operator: You've owned partner selection and negotiation, managed budgets and SLAs, and know how to hold a partner accountable to the numbers they promised. - A Data Native: You have a sixth sense for dashboards. You can look at a metric gap, diagnose the root cause, and make the call without waiting for an analyst to hand you the answer. Comfort in SQL / Databricks-type environments is a strong plus. - A Builder of Teams: You find genuine satisfaction in developing leaders and building a function that thrives independently. You set clear expectations and you coach. - Familiar with Our World: Ideally you've spent time in digital marketplaces, e-commerce, payments, or gaming, and you know the failure modes — promo abuse, reseller fraud, account takeover — and the pace of a high-volume digital business. - Compliance-Fluent: You're comfortable operating against regulatory, PSP, and KYC obligations, and you know where the risk function's responsibility starts and stops. - A Strong Communicator: Since we operate internationally, your written and spoken English needs to be sharp enough to set strategy, influence executives, and lead a diverse team. What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Linz, Austria Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities The Agentic Ecosystem team is building the foundation for AI-native enterprise software. We create platform capabilities that allow AI agents to understand context, discover tools, invoke capabilities, and execute governed actions across TeamViewer products and connected third-party systems. The work sits at the core of agentic experiences: MCP servers and clients, tool catalogs, context assembly, orchestration, evaluation, observability, secure integration patterns, and production-grade guardrails. The goal is to make agent behavior reliable, measurable, auditable, cost-aware, and safe for enterprise use. You will help define how autonomous agents become trusted components of real-world software, not experiments or demos. This means combining strong engineering standards, AI-native development practices, human accountability, and customer trust. Join us if you want to build the ecosystem that will power the next generation of intelligent digital work. Own the architecture of TeamViewer’s agentic platform, including Tia, third-party agents, tool use, retrieval, memory, orchestration, and governed actions across TeamViewer ONE. Define reference architecture for MCP servers and clients, tool catalogues, context assembly, memory, orchestration, and trust boundaries. Establish evaluation and observability discipline by defining quality criteria, tracing agent behavior, catching regressions before release, and using results to guide architectural decisions. Set pragmatic positions on model choice, routing, fallback behavior, cost governance, vendor dependency, and production reliability. Design safety architecture with security partners, covering prompt injection containment, permission models, tenancy isolation, auditability, and AI component risk. Guide teams hands-on through early project phases, conduct architecture and design reviews, mentor senior engineers, and maintain clear architecture documentation for both engineers and agents. Requirements 10+ years of software engineering experience, including demonstrated expertise in complex architectures, strong Python and TypeScript skills, and deep knowledge of distributed systems. Extensive experience designing and delivering agentic systems, including tool-using agents, MCP or comparable protocols, retrieval, context engineering, multi-agent orchestration, and evaluation frameworks. Proven track record of bringing AI solutions into enterprise production environments, with a strong understanding of security, compliance, multi-tenancy, cost management, reliability, and operational excellence at scale. Strong ability to evaluate AI systems responsibly by defining quality standards, developing evaluation approaches, interpreting results, and identifying real-world failure modes. Deep understanding of common AI model failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions, as well as the architectural controls required to mitigate them. Regular use of AI coding agents, combined with critical review practices and accountability for correctness, security, maintainability, and architectural alignment. Ability to communicate complex architectural concepts effectively to both technical and non-technical stakeholders, balancing business value with technical considerations while collaborating across global teams. Solid knowledge of software licensing, open-source compliance, and AI dependency risk, complemented by a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. What we offer Onsite Onboarding in our HQ office for an optimal start An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.954, with ST2/rule: EUR 4.611 gross/month) 28 days of well-deserved holidays Great benefits package including company achievement bonus Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. EXAMPLE INITIATIVES Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely. The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access. The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out. Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy. RESPONSIBILITIES - Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement. - Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo. - Build frameworks that let other engineers create their own agents without deep LLM expertise. - Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities. - Own the safety layer: permissions, secrets handling, audit trails, cost management. REQUIREMENTS - Have 4+ years of relevant industry experience building and enabling AI native SDLC - Strong proficiency in Python and/or Go, building tools other engineers depend on daily. - Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped. - Deep personal fluency with AI coding tools and well-formed opinions about where they break down. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Developer tooling, CI/CD, and Kubernetes/Docker fundamentals. - Comfort with ambiguity — this space invalidates its own best practices every few months. - Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional. Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten. RESPONSIBILITIES - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Build and maintain unit, integration, load and performance testing frameworks - Design end to end test infrastructure that provisions realistic dependencies on demand — ephemeral Kubernetes namespaces, containerized service dependencies, etc. - Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover. - Attack test suite reliability head-on — flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time. - Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested. - Create project templates and shared libraries so new services start with a complete testing setup on day one. - Partner directly with product and infrastructure teams — embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities. - Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy. REQUIREMENTS - Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers. - Deep experience with testing frameworks and their internals — pytest, Go's testing package, testify, testcontainers, or equivalents — including the ability to extend them, not just use them. - Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management. - Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them. - Solid Kubernetes and Docker fundamentals — you can build test infrastructure that runs on and tests against real cluster environments. - Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale. - A track record of measurably improving testing culture on an engineering team — you have opinions on what to test, what not to test, and where the ROI actually is. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale. You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it. How We Build Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands. Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework. What Success Looks Like Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI. Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers. Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks. What You'll Be Doing Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code. Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE. Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn. Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review. Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience. Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability. Own it in production: SLOs, on-call, incident response, and postmortems. Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact. What You'll Bring Platforms you've built and run that other engineering teams adopted, from ambiguous beginnings through years of operation, with results you can show. Deep foundations in cloud-native distributed systems, data infrastructure, and service architecture. You reason from first principles. Hands-on infrastructure depth: IaC, cloud, security architecture, and running production systems. You can go deep with SRE, not just hand work off to them. Current, hands-on production coding, and the desire to keep doing it. Passion for developer experience (DevEx/DevProd) as a discipline. Writing clear enough to set standards beyond your own work, and influence that comes from credibility, not title. No healthcare background required. We hire builders from fintech, infrastructure, and consumer scale, and teach the domain. Would Love for You to Have Scars from production LLM/agent deployments beyond glossy demos (but we won't ask for 20 years of LLM experience). Pragmatism about the LLM ecosystem: excited by it, not distracted by it. Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. What You'll Get The opportunity to own one of Arcadia's most consequential platform domains and to set its direction for years. Direct influence on how Arcadia's engineering org adopts AI; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart, named a Built In 2026 Best Place to Work. Work that shows up in patients' lives. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Operations Specialist, you'll be accountable for how the AV spaces perform, how support requests get resolved, and how events land in the space you're responsible for. This role will help own all areas within the AV landscape. In a given week you might execute a preventative maintenance sweep across a floor of conference rooms, work the support queue and drive a recurring failure to root cause, and then run technical coverage for an all-hands or an executive presentation that evening. You'll be the regional presence our AV Engineering and Production teams build on — the person who catches problems before users report them, and who turns what you learn on the ground into standards the rest of the team can run from. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Site Ownership & Room Health Serve as the AV owner for your office — accountable for the health, readiness, and performance of every room and event space in the building Execute preventative maintenance programs and recurring room sweeps on a defined cadence, not only in response to tickets Maintain accurate inventory of room systems, peripherals, wireless microphones, cameras, and portable production gear, including spares strategy and replacement cycles Coordinate AV scope for office moves, room reconfigurations, and new-space readiness in partnership with Workplace and AV Engineering Know your estate: maintain the room documentation, as-builts, and site-specific gotchas that make your office supportable by anyone on the team Support Operations Help own the AV support queue — triage, prioritization, resolution, and escalation with clear diagnostic context Participate in the regional AV on-run rotation (West, East, or EMEA), covering AV issues during local business hours alongside the daily room-check discipline Systematically isolate faults to a point in the signal chain rather than reaching for reboots and cable swaps Drive recurring issues to root cause and surface them to AV Engineering as candidates for platform-level or design-level fixes Contribute to runbooks, standard operating procedures, and knowledge base documentation that other technicians follow Event Support & Production Provide technical coverage for live and hybrid events in your office — from small executive presentations and team meetings through to all-hands and company-wide broadcasts Operate event production systems including audio consoles, video switchers, camera systems, playback, and streaming encoders Run pre-event readiness: walkthroughs, rehearsals, source checks, gear staging, and failover planning Handle scoping conversations with requesters — translating what a stakeholder wants the event to feel like into an equipment and staffing plan that fits the team's SLA Turn novel one-off events into repeatable standards — a template, runbook, or gear list that makes the next one easier for the whole team Vendor Direction & Cross-functional Partnership Direct AV integrators, contractors, and event labor on site, holding them to defined scope, SLAs, and quality standards Partner with Workplace, Events, and IT on lead times, expectations, and readiness Act as the regional feedback loop to AV Engineering — what's failing, what's missing, and what the standard should be Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language You May Be a Good Fit If You: Have 8+ years of hands-on experience in AV operations, workplace technology, or technical event support Have owned a standing estate — the same rooms, the same stakeholders, week over week — and were accountable for how those spaces performed over time Bring working fluency across room systems, event audio, video, camera, and streaming, with enough depth to diagnose problems rather than only report them Are comfortable being the only AV person in the building, and can prioritize independently across maintenance, support, and events Bring structure to ambiguity — checklists, intake processes, maintenance cadences, and documentation Are energized rather than drained by being the front-facing technical partner to executives, event producers, and everyone else who walks up to you in a hallway Take ownership end-to-end, from noticing a recurring failure to getting it permanently fixed Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS DSP platforms — comfortable navigating and reasoning about existing audio/video routing and control designs Logitech CollabOS and Sync, Google Meet hardware, Zoom Rooms, and enterprise room system administration Preventative maintenance and room-sweep programs across a distributed room fleet Broadcast video switchers such as Blackmagic ATEM, Ross Carbonite, or NewTek TriCaster Digital audio mixing consoles such as Yamaha DM7 or CL/QL series, and Shure wireless systems PTZ camera systems and multi-camera workflows Ticketing and workflow systems such as Jira, and participation in an on-run rotation Coordinating AV contractors, integrators, and labor for site support and event coverage CTS certification or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our New York office This role is expected to be in office 5 days per week Occasional evening and early-morning coverage is expected around major events 4-6 weeks of travel annually may be expected for this role for distributed support, office buildout support, and event coverage as needed Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Staff Software Engineer on the Order Platform team, you'll shape the systems that power every Affirm purchase after checkout — orders, captures, refunds, and settlement — and drive the technical strategy that lets our merchants and consumers transact reliably at scale. Your work raises the bar for reliability and simplicity across our engineering systems, keeping the platform highly available while defining the capabilities that unlock future product needs. We're a small, senior team doing high-leverage work within Financial Platforms. Today we're consolidating the internal platform behind Affirm's post-checkout APIs — drawing clean domain boundaries, migrating existing merchants, and enabling future product launches. You'll set technical direction, mentor a strong group of engineers, and own decisions that matter for years. What You'll Do · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. · You are analytical and discerning in designing services with clear API boundaries, strong reliability characteristics, and thoughtful handling of consistency, idempotency, and failure modes — ideally in a payments, commerce, ledger, or other financially-sensitive domain. · You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. · You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. · Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - USA 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Baku Workplace: onsite ABOUT US   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. Qualifications & Skills: Experience: 5+ years of experience focused heavily on CI/CD automation, release engineering, or developer tooling, with at least 2+ years leading a technical team. Platform Expertise: Deep, hands-on administrative experience with GitLab and GitHub . You understand the nuances of managing large enterprise instances, enforcing branch protections, and configuring complex role-based access. CI/CD Mastery: Expert-level knowledge of GitLab CI and GitHub Actions. You know how to build modular, reusable pipelines and can quickly debug complex build failures. Developer Empathy: A strong customer-service mindset focused on developer experience (DevEx). You enjoy collaborating with software engineers and solving their deployment pain points. Containerization Knowledge: Strong understanding of Docker and building containerized applications, as well as how pipelines interact with Kubernetes environments during deployment. Communication: Excellent English communication skills to effectively collaborate and provide support across our distributed, global engineering teams. Responsibilities Team Leadership: Manage, mentor, and grow a dedicated team of CI/CD engineers and version control administrators. Platform Administration: Serve as the technical owner of Xsolla’s enterprise GitLab and GitHub environments. Ensure high availability, performance, access management, and regular maintenance of these critical platforms. Developer Deployment Support: Act as the primary support layer for development teams regarding their deployment processes. Troubleshoot failing builds, optimize pipeline performance, and provide hands-on guidance to help developers deploy their code efficiently. Pipeline Standardization: Design, build, and maintain centralized CI/CD pipeline templates and automated workflows. Make it easy for developers to adopt best practices without having to write complex deployment scripts from scratch. Runner Management: Oversee the dedicated infrastructure for GitLab Runners and GitHub Actions. Scale and optimize these build environments to eliminate queuing delays and reduce build times. Security Integration: Partner with the Information Security team to ensure version control access complies with PCI-DSS. Integrate security scanning tools (SAST/DAST, dependency checks) directly into the deployment pipelines without severely impacting build speed. Nice to Have: Experience migrating large codebases between GitLab and GitHub. Scripting skills (Python, Bash, or Go) to automate routine repository management tasks. A passion for the video game industry! 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.    Equal Employment Opportunity Statement:Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Location: London, UK The Data Platform Architect is the premier technical authority within Data Engineering. Serving as a senior individual contributor, this role owns the end-to-end technical strategy and system architecture of the data platform. Operating with a high degree of autonomy, the Data Platform Architect partners closely with EPD (Engineering, Product, Design) leadership to make critical high-stakes architectural decisions, establish company-wide data patterns, and ensure platform alignment with long-term business goals. Own the architectural blueprint and long-term technical vision for the global data platform, sequencing delivery incrementally to avoid high-risk migrations. Architect the analytics, semantic, and AI data layers to securely expose trustworthy metrics, feature usage signals, and skill intelligence models across the enterprise. Address and resolve high-complexity architectural challenges surrounding multi-tenant isolation, consistency, streaming/batch processing performance, and data contracts. Formulate architectural standards, governance frameworks, and data modeling conventions adopted across engineering teams. Oversee platform-level observability, data quality frameworks, SLAs, and lead root cause analysis (RCA) on systemic platform failures. Guide and mentor senior engineering staff on system design, technical trade-offs, and architectural decision-making. Proven experience in a Data Platform Architect or Staff-level Data Engineering role designing and scaling enterprise data platforms. Deep expertise in data architecture, data warehousing, data lakes, and both real-time (streaming/CDC) and batch processing paradigms. Strong hands-on proficiency in Python for back-end engineering and platform-level software design. Demonstrated expertise in modern data transformation frameworks, specifically complex dbt project architecture. Extensive background in SQL and NoSQL database schema design, modeling at scale, and multi-tenant isolation patterns. Experience with Infrastructure as Code (IaC) and containerization frameworks (e.g., Terraform, Kubernetes) to support platform infrastructure. Expertise in defining data quality, observability, data contract, and incident management standards. Exceptional executive-level communication and stakeholder management skills with a proven ability to articulate architectural trade-offs. Hands-on experience with TypeScript / Node.js back-end environments. Practical familiarity with BigQuery, PostgreSQL, MongoDB, and Apache Kafka. Experience integrating customer event collection platforms (e.g., Segment) into unified data architectures. Direct experience designing data modeling architectures for AI, ML, or agentic workloads.

Location: Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia The Fire Safety Engineering Lead will act as a technical subject matter expert responsible for leading fire and life safety engineering activities at KAUST. The role will provide technical leadership in fire engineering design reviews, compliance validation, fire risk assessments, inspections, investigations, and continuous improvement. The position will also lead and mentor Fire Safety Engineers, support the Authority Having Jurisdiction (AHJ) framework, and ensure compliance with Saudi Building Code (SBC), NFPA, International Fire Code (IFC), and KAUST requirements . Responsibilities Lead the technical delivery and execution of fire and life safety engineering activities. Lead, supervise, mentor, and develop a team of Fire Safety Engineers. Conduct technical reviews and compliance validation in accordance with KAUST procedures and delegated authorities. Review fire and life safety designs for new construction, renovations, research facilities, and high-hazard environments. Apply and interpret Saudi Building Code (SBC), NFPA, International Fire Code (IFC), and KAUST requirements. Conduct fire risk assessments and develop risk-based mitigation strategies. Oversee fire and life safety inspections, field assessments, system verifications, and incident investigations. Provide technical assurance for inspection, testing, and maintenance (ITM) of fire protection systems. Review fire protection system deficiencies and escalate overdue or high-risk corrective actions. Lead or support investigations related to fire incidents, system failures, impairments, and unwanted fire alarms. Identify root causes and recommend corrective and preventive actions. Develop and deliver fire and life safety training for engineering, operations, emergency response, and other personnel. Develop and maintain fire engineering standards, technical procedures, and guidance documents. Establish and monitor fire and life safety objectives, metrics, and KPIs. Analyze performance data, identify trends, and lead technical improvement initiatives. Maintain accurate and audit-ready technical, inspection, investigation, and compliance records. Requirements Bachelor’s degree in Fire Engineering, Fire Protection Engineering, Mechanical Engineering, or a related engineering discipline. Minimum 8+ years of professional experience in fire protection engineering, fire systems engineering, or a closely related field. Strong practical knowledge of Saudi Building Code (SBC), NFPA, and International Fire Code (IFC). Proven experience in fire engineering design reviews and compliance validation. Proven experience conducting fire risk assessments and developing mitigation strategies. Experience with fire protection system inspection, testing, and maintenance activities. Experience leading or supporting fire incident investigations and corrective and preventive actions. Proven experience leading, supervising, and mentoring technical engineering professionals. Strong knowledge of fire and life safety engineering principles and practices. Chartered Engineer (CEng), Professional Engineer (PE), or equivalent certification is preferred. Recognized fire protection or fire safety certifications such as NFPA CFPS, CFPE, CFAITMS, CWBSP, or NICET are preferred.