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Arago is an AI and computer hardware company focused on accelerating breakthroughs at the intersection of AI and semiconductors. The company was founded in 2024 by AI researchers and physicists with expertise in photonics, electronics, software, mathematics, and machine learning. The team is multinational and operates from hubs in France, North America, and Israel. Задачи: — Design and verify custom digital hardware components and architectures for high-performance, tightly integrated computation workloads. — Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit. — Collaborate with system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals. — Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches. — Support synthesis, timing analysis, and backend integration, working closely with physical design and CAD engineers. — Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform. Требования: — Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units. — Strong understanding of digital architecture including pipelining, arbitration, memory hierarchy, and system-level integration. — Proficiency in functional verification including testbench development, assertions, coverage metrics, and debugging; UVM experience is a plus. — Familiarity with ASIC and FPGA design flows including synthesis, timing closure, and DFT. — Comfortable working across the full hardware stack from architectural specification and microarchitecture to physical implementation support. — Proficient English; French is a plus. Условия: — Competitive cash compensation based on location, experience, and team pay. — Meaningful stock option plan offered early. — Relocation bonus and coverage of moving expenses for relocation within 20 minutes of company location. — Healthcare coverage including family options, pension contributions, professional development support. — 25 days PTO plus public holidays. — Ownership of a key technical domain with growth opportunities. — Reimbursement of 50% of public transport subscription fee. — High-paced, multicultural, engineering-led environment. Процесс найма: — Screening Call — Technical meeting — CEO Interview — Reference Calls — Technical Assessment — Final Interview

Location: Baku Workplace: onsite ABOUT YOU Xsolla seeks a security engineer to join a new security team during a critical build-out phase. You work across application security and infrastructure security - reviewing code, hardening cloud environments, supporting incident response, and partnering with engineering teams to improve security posture across the company. This is a generalist role well-suited to an early-team hire. You are comfortable working across domains rather than specializing in one, and you grow into deeper expertise as the team and program mature. You collaborate closely with the security program manager and work directly with engineering teams on secure design, findings, and remediation. Our tech stack includes GCP, vSphere/ESX, Kubernetes and container workloads, MariaDB, CockroachDB, Go, PHP, and Python. You do not need expertise in all of these, but you are comfortable navigating a mixed environment and learning what you need. As always true in job descriptions, there is an intangible value that is hard to capture. We look for a diverse set of perspectives and skills. Even if you don't match every requirement, we encourage you to apply if you think you can be highly successful in this role.   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. Responsibilities Perform Application Security Reviews - Conduct code reviews, run SAST / DAST and dependency scanning tools, and work with engineering to resolve findings. Participate in Threat Modeling - Contribute to threat modeling sessions for new features and architecture changes, helping identify risks early in the design process. Help Harden Cloud and Container Infrastructure - Work on GCP, Kubernetes, and IAM configurations to strengthen the security of our cloud and container environments. Participate in Pen Test Remediation - Help triage penetration test findings and work with engineering teams to implement fixes, coordinating closely with the security program manager. Partner with Engineering on Secure Design - Review architectures, advise on secure implementation patterns, and help teams make informed security decisions. Identify and Track Security Findings - Document findings, assess severity, and track them through the remediation lifecycle to resolution. Support Incident Response - Help investigate and document security events, contribute to root-cause analysis, and support containment efforts. Write Async Security Guidance - Produce advisories, best-practice documentation, and practical guidance that helps engineering teams build securely across time zones. Support Product Security - Work with partners on the security posture of customer-facing services, contributing to reviews and assessments as needed. What You Bring Foundational AppSec Knowledge - Understands common vulnerability classes, secure coding patterns, and how to conduct a meaningful code review. Cloud Environment Exposure - Has worked with GCP or a similar cloud provider and is comfortable with IAM , networking, and container concepts. Code Literacy - Reads and reviews code in one or more of: Go, Python, PHP. Does not need to be a software engineer, but can follow logic and spot issues. Security Tooling Familiarity - Has used or is familiar with SAST , DAST , or dependency scanning tools and understands how they fit into a development workflow. Strong Written Communication - Writes clear, concise async documentation - findings, advisories, guidance - that works across time zones and audiences. Collaborative Mindset - Partners effectively with engineering teams. Focuses on helping teams build securely rather than just identifying problems. Self-Directed with Growth Mindset - Eager to learn, comfortable with ambiguity, and able to make progress with minimal direction in a new and evolving team. Nice to Have Threat modeling experience; Hands-on Kubernetes or container security experience; Infrastructure security background - Linux, networking, vSphere/ ESX; Familiarity with NIST CSF , PCI , SOC 2, or ISO 27001 from a technical perspective; Detection engineering or incident response experience; Experience building security automation or internal tooling; Relevant certifications ( OSCP , GWAPT , CKS , or similar hands-on certs). Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.

О ПРОГРАММЕ Exness — международный финтех-лидер и крупный по величине торговый брокер — запускает Engineering Bootcamp для Middle Python Backend инженеров. Программа предоставляет возможность поработать с несколькими продуктовыми командами, получить опыт в различных инженерных доменах и затем выбрать команду для долгосрочной работы. ДОСТУПНЫЕ НАПРАВЛЕНИЯ В РАМКАХ BOOTCAMP • Anti-Fraud — сервисы предотвращения мошенничества; • Introducing Brokers — платформа для партнерской сети; • Payments Management Platform — развитие платежной инфраструктуры; • Payments KYC — внутренние сервисы KYC и верификации клиентов. ТРЕБОВАНИЯ К КАНДИДАТУ • От 3 лет опыта коммерческой разработки на Python; • Опыт проектирования и разработки микросервисов и высоконагруженных систем; • Владение английским языком на уровне B2 и выше. ТЕХНИЧЕСКИЙ СТЕК Python, FastAPI, asyncio, Kafka, PostgreSQL, Docker, Kubernetes. УСЛОВИЯ И КОРПОРАТИВНЫЕ БЕНЕФИТЫ • Работа в аккредитованной компании (Best Place to Work); • Выплата годового бонуса; • Предоставление автомобиля MINI Cooper в корпоративное пользование; • Медицинское страхование для сотрудника и членов семьи; • Компенсация расходов на обучение детей (школы и детские сады); • Курсы английского языка, оплата профильного обучения и конференций; • Доступ к спортивным клубам и собственному тренажерному залу.

Location: San Francisco, CA | 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 Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies. You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it. Responsibilities Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next Set the technical direction for the team across our platform and our datasets Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code Raise the team's technical bar through design reviews, mentorship, and the quality of your own work You may be a good fit if you: Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows Have set technical direction for a team, or owned the architecture of a data platform that other teams build on Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one Lead through influence — aligning engineers and stakeholders without relying on formal authority Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required) Care about the societal impacts of your work Strong candidates may also have Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet) Experience with metrics or experiment-tracking systems, or high-volume time-series data Experience with dataset management, cataloging, or lineage tooling Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research A working knowledge of machine learning Worked in, or closely with, an ML research lab Interest in — or experience with — people management and growing engineers 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: $405,000 — $850,000 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. 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: Riyadh, Saudi Arabia The Senior Transportation Planning & Traffic Safety Engineer is responsible for leading transportation planning and traffic safety initiatives, ensuring compliance with international engineering standards and best practices. The role involves conducting technical reviews, supporting traffic engineering studies, and coordinating with internal stakeholders and government authorities to enhance road safety and traffic mobility. Experience The ideal candidate must have a minimum of 10 years of relevant experience , primarily in: Transportation Planning Traffic Engineering Traffic Safety Engineering Key Responsibilities The selected candidate will be responsible for, but not limited to, the following: Liaise with company representatives and government authorities to support and implement traffic and transportation safety improvements. Serve as the technical lead for traffic safety engineering assignments and provide technical guidance, supervision, and mentorship to junior engineering staff. Review and develop scopes of work for transportation-related studies and projects, including: Road Safety Audits (RSA) Traffic Impact Studies (TIS) Temporary Traffic Management (TTM) Plans Other transportation engineering and traffic safety studies Provide technical support and engineering recommendations to internal and external stakeholders to improve traffic operations, mobility, and road safety. Review roadway designs, engineering specifications, and proposed infrastructure improvements within and surrounding company facilities, ensuring compliance with applicable industry standards and best practices. Prepare technical reports, engineering studies, meeting minutes, correspondence, presentations, technical notes, and other project documentation. Support the continuous development of the Traffic Safety Services Engineering team by establishing technical training programs, promoting knowledge sharing, and improving engineering processes and best practices. Technical Requirements The candidate must demonstrate strong technical expertise in: Highway Design Transportation Planning Traffic Engineering Traffic Safety Studies Road Safety Audits Traffic Impact Assessments Temporary Traffic Management Traffic Operations and Mobility Analysis Required Skills Thorough knowledge of international transportation engineering standards and guidelines, including: AASHTO Green Book Highway Capacity Manual (HCM) Highway Safety Manual (HSM) Manual on Uniform Traffic Control Devices (MUTCD) Institute of Transportation Engineers (ITE) Guidelines Federal Highway Administration (FHWA) Standards and Guidelines Excellent analytical, problem-solving, and technical evaluation skills. Strong written and verbal communication skills with the ability to prepare high-quality engineering reports, technical specifications, presentations, and professional correspondence. Ability to effectively coordinate with multidisciplinary teams, government agencies, consultants, and contractors. Education Bachelor's degree in Civil Engineering or related with specialization in Transportation Planning and Traffic Engineering . A Master's degree in Transportation Engineering or a related discipline is preferred. Professional Certifications (Mandatory) The candidate must hold at least one of the following professional certifications or licenses: Professional Engineer (PE) Professional Traffic Operations Engineer (PTOE) Professional Transportation Planner (PTP) RoSPA Road Safety Certification Road Safety Professional (RSP) Equivalent internationally recognized professional certifications will also be considered.

Location: Dammam, Saudi Arabia We are seeking a motivated Industrial Engineer to support project execution and performance improvement initiatives. The successful candidate will assist in project coordination, analyze performance data and KPIs, and contribute to continuous improvement efforts to ensure projects are delivered efficiently and on schedule. Key Responsibilities Support the planning, coordination, and execution of engineering projects. Monitor and analyze project KPIs and performance metrics. Coordinate with internal teams, contractors, and stakeholders to resolve project-related issues. Assist in continuous improvement initiatives using Lean and Six Sigma principles. Prepare project reports and maintain accurate documentation. Qualifications Bachelor's degree in Industrial & Systems Engineering or a related field. Fresh graduate or up to 2 years of relevant experience. Internship, co-op, or training in project management, operational excellence, or performance management is an advantage. Knowledge of Lean, Six Sigma, and project management principles. Strong analytical, problem-solving, and communication skills. Full professional proficiency in English. Preferred Certifications Six Sigma Certification PMP Certification (preferred)

Location: Remote Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. Requirements - Strong experience building and owning production backend services in Python - Strong SQL skills and confidence working with data-heavy systems (analytics, metrics, logging) - Experience with monitoring, alerting, and debugging user-facing systems - Ability to ship maintainable software (tests, code review, incremental delivery) NICE TO HAVE - Knowledge of SEO fundamentals - Experience with APIs & auth (OAuth2, GA4 and Google Search Analytics API) - Experiente working with non-structured data (referrers, canonical URLs, page types) - Experience building data integrations between products - Understanding of ETL/ELT workflows on PySpark   BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget - refreshed each year for every employee - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate   DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR AT CONSTRUCTOR.IO http://Constructor.io WE ARE COMMITTED TO CULTIVATING A WORK ENVIRONMENT THAT IS DIVERSE, EQUITABLE, AND INCLUSIVE. AS AN EQUAL OPPORTUNITY EMPLOYER, WE WELCOME INDIVIDUALS OF ALL BACKGROUNDS AND PROVIDE EQUAL OPPORTUNITIES TO ALL APPLICANTS REGARDLESS OF THEIR EDUCATION, DIVERSITY OF OPINION, RACE, COLOR, RELIGION, GENDER, GENDER EXPRESSION, SEXUAL ORIENTATION, NATIONAL ORIGIN, GENETICS, DISABILITY, AGE, VETERAN STATUS OR AFFILIATION IN ANY OTHER PROTECTED GROUP. STUDIES HAVE SHOWN THAT WOMEN AND PEOPLE OF COLOR MAY BE LESS LIKELY TO APPLY FOR JOBS UNLESS THEY MEET EVERY ONE OF THE QUALIFICATIONS LISTED. OUR PRIMARY INTEREST IS IN FINDING THE BEST CANDIDATE FOR THE JOB. WE ENCOURAGE YOU TO APPLY EVEN IF YOU DON’T MEET ALL OF OUR LISTED QUALIFICATIONS. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Palo Alto; New York; San Francisco; Montréal Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies.   What You Will Do - Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads. - Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms. - Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs. - Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations. - Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.   What We're Looking For - Strong Linux system administration experience at scale. - Proficiency in Slurm and/or Kubernetes to manage workloads effectively. - Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus. - Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions. - Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Stockholm; Madrid; Amsterdam; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies. What You Will Do - Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads. - Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms. - Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs. - Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations. - Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform. What We're Looking For - Strong Linux system administration experience at scale. - Proficiency in Slurm and/or Kubernetes to manage workloads effectively. - Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus. - Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions. - Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next. You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly. You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver. The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers. The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering. What you will do Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements. Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence. Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers. Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers. Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads. Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit. Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market. Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides. What we are looking for Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform. Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs. Ability to turn an unfamiliar customer problem into concrete infrastructure requirements. Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs. Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability. Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics. Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling. A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it. Helpful experience Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption. Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs. NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring. Model serving with vLLM, SGLang, TensorRT-LLM, or TGI. Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos. Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Частичная занятость в AI-first продукте. — Тестирование готовых продуктов и функций: ручное тестирование и работа поверх существующего автотест-фреймворка (unit-тесты, интеграционные тесты, Playwright со скриншотами и ИИ-визуальным контролем). — Поиск, приоритизация багов, их отладка и исправление в коде. — Доработка существующих, но недоделанных или низкокачественных фич. — По мере роста доверия — разработка новых фич по готовым ТЗ (в рамках агентного кодинга). — Работа с беклогом — разгребание накопленных задач. Требования: — AI-first мышление: решение задач через ИИ-инструменты, умение формулировать короткие задачи/промпты и работать совместно с моделью. — Понимание границ применимости ИИ и где эффективнее делать руками. — Практический опыт работы с агентным кодингом (Claude Code, Codex или аналоги). — Техническая грамотность: понимание Git-репозитория, процесса разработки, концепций Playwright/автотестов. — Понимание дисциплины продакшн-разработки (безопасность, нагрузка, качество кода). — Понимание или готовность быстро разобраться в QA-процессах (тест-кейсы, баг-репорты). — Самостоятельность и ориентация на результат. Желательно: — Опыт с китайскими моделями (DeepSeek, Kimi и т.п.). — Опыт в QA: тест-кейсы, баг-репорты, автотесты. — Знание Node.js/TypeScript (стек компании) — плюс.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away. ABOUT THE ROLE As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable. This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on: - AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability) - Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation - Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality WHAT YOU’LL ACHIEVE - Partner with your team to prototype and ship an AI-powered product improvement - Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability. - Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes. SKILLS YOU'LL NEED TO BRING - You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. - Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance. - Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. - Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems. NICE TO HAVES - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite   A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away. ABOUT THE ROLE As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact. WHAT YOU’LL ACHIEVE - Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback. - Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations. - Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research. - Build internal tools and platform improvements that help all engineers ship quickly and safely. - Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs. AREAS YOU MIGHT WORK ON - Acquisition: Landing pages, signup/auth flows, pricing + plan selection, workspace creation, invitations during onboarding, and experiments that improve conversion and time-to-value. - Adoption / Activation: In-product education, templates, reminders, onboarding tours, lifecycle nudges, and measurement frameworks that increase depth of use, retention, and habit formation. - Experimentation & Measurement (cross-cutting): A/B testing infrastructure, analytics event quality, dashboards, and iteration loops that let teams learn quickly and ship confidently. SKILLS YOU'LL NEED TO BRING - You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. - Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. - Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems. NICE TO HAVES - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000 By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Проектировать и разрабатывать ETL/ELT пайплайны по цепочке Source → ODS → DDS → витрины данных. — Строить витрины и схемы под аналитику и отчётность; оптимизировать SQL (индексы, партиционирование, предикативный pushdown). — Настраивать доступ к данным через федеративные SQL-движки, REST/JSON API, батч- и файловые выгрузки, асинхронную обработку тяжёлых выборок. — Вести пайплайны в Airflow с инкрементальной загрузкой, идемпотентностью и контролем качества данных (DQ). — Вести каталог данных, глоссарий и data lineage; следить за согласованностью источников. — Доводить задачи до прода в GitOps-флоу (GitLab CI + ArgoCD), контейнеризация (Docker / K8s). Требования: — Уверенный Python и очень уверенный SQL (оконные функции, оптимизация запросов). — Опыт построения ETL/ELT-пайплайнов и оркестрации (Airflow или аналог). — Понимание моделирования данных и хранилищ (DWH / DataMart, слои ODS/DDS, нормализация, партиционирование). — Опыт с реляционными и аналитическими СУБД (PostgreSQL; плюсом — Vertica / Trino / ClickHouse). — Понимание Git, CI/CD и контейнеризации (Docker), базовое понимание Kubernetes. — Внимание к качеству данных, идемпотентности и инкрементальной загрузке. — Интерес к финансовому домену: транзакции, отчётность, регуляторные данные, справочники. Плюсом будет: — Федеративные движки (Trino / Presto), каталоги данных и data lineage (OpenMetadata / DataHub). GitOps (ArgoCD), стриминг (Kafka), dbt, IaC. — Опыт с финансовыми и регуляторными данными, витринами для отчётности, безопасностью данных. — Базовое понимание LLM/RAG (эмбеддинги, retrieval) — как смежное направление команды. Условия: — Работа с современным data-стеком в финансовом домене национального масштаба. — Менторство и турбо-рост в команде, которая катает продукты в прод каждый месяц. — ДМС для вас и членов семьи. — Оплачиваемый отпуск и 100% официальное оформление.

Location: Berlin, Germany Workplace: remote ABOUT YOU We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents. Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role. If you’re passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, we would love to hear from you!   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. Responsibilities: Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation. Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model. Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix. Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed. Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle. During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams. Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead. Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift. Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability. Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions. Publish health reports of critical apps periodically. Qualifications: Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry. 4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment. Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths. Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts. Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs. Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences. Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues. Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity. Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence. Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation. Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required. Nice to Have: Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM (Real User Monitoring). Experience with distributed systems debugging: tracing failures across microservices, understanding cascading failures, and reading distributed traces end-to-end. Exposure to database operations (MySQL, PostgreSQL, Redis, Kafka) at a level sufficient to investigate connection pool exhaustion, replication lag, slow queries, or queue backlogs during incidents. Familiarity with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm) — enough to correlate recent deployments with production issues and identify rollback targets. JIRA Service Management administration experience: workflows, automation rules, SLA timers, and queues. ITIL Foundation certification is a plus but not required — practical experience matters more. 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 through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket 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. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Costa Mesa, United States WHAT YOU'LL DO Aerodynamic design of unmanned air vehicles/missiles at conceptual, preliminary, and detail design maturities Aerodynamic analysis of unmanned air vehicles, using both low and high order methods, including analysis tool development and improvement as needed Stability and control analysis Aircraft performance modeling and simulation Aerodynamic loads generation Wind tunnel test planning, execution, and analysis Flight test planning, execution, and analysis REQUIRED QUALIFICATIONS BS or higher degree in Aerospace Engineering 3+ work experience as an individual contributing engineer Experience with aircraft performance and analysis predictions Competent in a variety of aerodynamic analysis techniques including hand calculations, vortex, lattice methods, panel methods, and computational fluid dynamics (CFD) Wind tunnel and flight test experience including data acquisition, data analysis and project coordination Strong programming skills in higher-level languages (e.g., MATLAB, Python) for internal tool development in a version-controlled environment Experience preparing formal documentation (i.e., specifications, test procedures, technical reports, etc.) Passion for defending the United States and her allies Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS StarCCM+ experience Ice accretion or icing analysis experience Missile DATCOM, OTIS, or DYMOS Experience with transonic and supersonic flow regimes Active U.S. Secret security clearance

Location: Costa Mesa, United States WHAT YOU’LL DO: Develop and integrate hardware on unmanned air vehicles Own designs from concept generation to real world use Use first principles physics as a basis for every decision Lead design reviews, run analysis, visit vendors, define and execute hardware test plans Build prototypes, analyze failures, and transition successful projects into production Support critical hardware demonstrations with customers as needed Travel to test sites as needed REQUIRED QUALIFICATIONS: 5+ years of mechanical engineering experience Advanced Air Vehicles Programs Experience integrating electrical and mechanical subsystems into advanced air vehicles Experience designing mechanical parts (CAD). Understanding of manufacturing methods (machining, sheet metal, composites, 3D printing, injection molding, composite lamination, etc) High competence with, and fluid use of, engineering first principles BS or higher degree in Mechanical, Aerospace, or Electrical Engineering Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS Experience in NX/Teamcenter Experience developing aircraft subsystem layouts, performing architectural trade studies, and evaluating vendor performance data Competency in engineering analysis, including structural, thermal, and electrical

Location: Costa Mesa, United States WHAT YOU’LL DO: Utilize first principle methods and design tools to develop new aircraft products Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination) Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members Onsite engineering support at manufacturing and integration sites REQUIRED QUALIFICATIONS B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience 5+ years of experience in aerospace or related industry Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies Proven ability to design high performance structures and execute their fabrication Self-directed, results oriented, and capable of working in a dynamic environment Excellent time management, organizational, and communication skills Ability to obtain and maintain US DoD Secret Clearance or higher PREFERRED QUALIFICATIONS Experience with clean sheet aircraft configuration Siemens NX proficiency Experience with fast paced prototype design and manufacture of uncrewed aircraft Experience with high temperature materials selection Broad experience across a range of aircraft programs Hands-on experience with manufacturing Practical aircraft knowledge (pilots license, A&P, etc.)