Вакансии

Задачи: • Обеспечивать полный жизненный цикл поддержки портфеля приложений и сервисов; • Реагировать на алерты мониторинга, расследовать и устранять инциденты в рамках регламентов Incident Management; • Оказывать экспертную техническую консультацию пользователям и смежным подразделениям; • Участвовать в процессах Change и Release Management: согласование изменений, тестирование и раскатка обновлений на тестовых и боевых средах; • Анализировать тренды утилизации ресурсов (Capacity Management), выявлять узкие места производительности; • Участвовать в обеспечении отказоустойчивости (Resiliency Engineering): тестировании HA-архитектур и проведении DR-учений (Disaster Recovery); • Анализировать бизнес-запросы и формировать технические/функциональные требования для вендоров и внутренней разработки; • Вести трекинг задач и требований в Jira/Git, поддерживать актуальность версий и технической документации; • Контролировать соблюдение SLA внешними поставщиками ПО и участвовать в регулярной оценке операционных рисков и уязвимостей. Требования: • Профильное высшее образование (IT, компьютерные науки или смежные направления); • Опыт работы от 3 лет в технической поддержке ПО или разработке (предпочтительно в банковском секторе, финтехе или enterprise-сегменте); • Опыт работы с реляционными СУБД (Oracle, MS SQL Server, PostgreSQL), уверенное владение SQL / PL-SQL и умение писать запросы; • Знание операционных систем Linux/Unix и Windows; • Понимание принципов контейнеризации и оркестрации; • Базовые знания сетевой архитектуры, криптографических протоколов и стандартов информационной безопасности; • Знание АБС критично; • Понимание хотя бы одной из предметных областей: отчетность ЦБ РФ, платежные системы, интеграции со СМЭВ; • Опыт сбора бизнес-требований и написания ТЗ на доработки; • Английский язык от уровня Intermediate и выше (устный и письменный); Условия: • Полностью белое официальное оформление по ТК РФ; • График 5/2, работа в офисе (Москва, ст. м. Белорусская); • Расширенный социальный пакет: ДМС, страхование жизни и от несчастных случаев; • ДМС для членов семьи (супруг/супруга, дети) с покрытием 90% со стороны компании; • Ежегодная компенсация питания (выплата к заработной плате); • Другие корпоративные бенефиты.

Требования: — 4+ года коммерческого опыта в Data Engineering. — Уверенное знание AWS: S3, Glue, Athena, Lake Formation/IAM, Lambda, Step Functions. — Опыт построения data lake/lakehouse с нуля (Parquet, Iceberg/Delta/Hudi, партиционирование). — Python (PySpark) и продвинутый SQL. — Интеграция MySQL/PostgreSQL, CDC через AWS DMS или аналоги. — Оркестрация: Airflow (MWAA), Step Functions или Dagster. — Моделирование данных, data quality и тестирование. — Безопасность и защита персональных данных: шифрование, row/column-level access, аудит. — Terraform/CDK, Git, основы CI/CD. — Английский B2+. Плюсом: — Redshift, BI-инструменты (QuickSight, Power BI, Tableau, Superset), dbt. — Kinesis/Kafka и потоковая обработка данных. — Опыт в EdTech и знание FERPA/COPPA. — AWS-сертификаты в области Data Engineering/Analytics.

Location: Remote, Global ABOUT THE ROLE As a Cloud Platform Engineer at Supabase, you’ll join Cloud Engineering, part of Engineering Operations, and shape the foundations that let engineering teams build, ship, and operate infrastructure safely and independently across AWS and GCP. This is a role spanning cloud governance, platform engineering, and hands-on operations. You’ll work across AWS and GCP account structure, identity and access management, Infrastructure as Code (IaC), reusable platform primitives, security boundaries, and self-service workflows for engineers. You’ll be joining at a point where many of these foundations are being actively defined or reworked. We’re looking for someone who can take ambiguous, messy, business-critical infrastructure problems and turn them into pragmatic systems, tools, standards, and written guidance that scale with the company and empower teams to go faster. WHAT YOU’LL BE RESPONSIBLE FOR - Designing and implementing cloud governance across AWS and GCP, including identity, account organization, access controls, and guardrails. - Building reusable infrastructure and building blocks using Infrastructure as Code (IaC), enabling teams to provision and manage infrastructure safely and consistently. - Creating self-service capabilities that reduce organizational friction and let engineers move more quickly within sensible boundaries. - Owning resource governance and visibility: management tagging, a trustworthy inventory of what exists and who owns it, and consistent cross-account billing data. - Developing reusable security primitives, including secrets storage, KMS, certificate management, token vending, direct service-to-service authentication, mTLS, and related platform services. - Owning cloud-level network and operational primitives: IP address management, DNS, and health signals such as service-limit and quota alerting. - Combining software engineering with hands-on operations and total ownership: building, deploying, monitoring, troubleshooting, and improving what you own. - Establishing and sharing cloud engineering best practices through documentation, internal tooling, examples, and enablement. YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of experience in cloud governance, platform engineering, and/or operations, have operated production systems at scale, and carried on-call for them. - Have previously undertaken a significant migration, e.g. rearchitected an AWS account topology, introduced IaC for existing infrastructure, centralized identity/SSO, or brought a second cloud under governance. - Enjoy building internal platform and self-service experiences for other engineers. - Are genuinely deep in at least one—ideally two—of the three strength areas below (and tell us which is your center of gravity): - Tooling & ecosystem: You’re intimately familiar with the breadth of AWS services in general, and IAM/SSO in particular. You know their Well-Architected Framework, and when to reach outside. You have working knowledge of GCP. You use IaC routinely and have run it in production, whichever tool. You’ve probably collaborated with auditors on meeting compliance requirements. - Software engineering: You write real production code (Go, Rust, or a comparable systems language), and can build reliable, maintainable services. You thrive across all stages of the SDLC, set technical direction, know how to de-risk projects, and produce written artifacts such as RFCs. - Operations: You’ve run production infrastructure yourself: carried the pager, written the alerts and runbooks, used SLOs or similar to decide what to fix first, and made shared systems less risky over time. You like owning systems, simplifying complex infrastructure problems, and turning best practices into reusable building blocks. - Are comfortable treating infrastructure as software and have relevant experience with IaC and automation. - Communicate clearly, work with a wide range of stakeholders, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and iterating toward better systems over time. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Требования: — 2+ года в Data Engineering / DWH — Работа с большими объёмами данных — Умение не только поддерживать, но и улучшать существующие решения — Опыт в финтехе и с кредитными бюро — большой плюс Важно: — офис на испытательном сроке → далее гибрид

Задачи: — модернизация алгоритмов наведения, навигации и управления — улучшение симуляций — руководство технической разработкой лунной системы Требования и условия в тексте не указаны.

Задачи: — поддерживать работоспособность систем клиентов — управлять инфраструктурой — автоматизировать ключевые задачи — защищать данные Требования: — опыт работы с MySQL, SQL — знание pfSense — опыт системного администрирования — понимание криптовалют — опыт работы с VPS и bare-metal серверами — опыт работы с облачными технологиями — знание блокчейна — опыт работы с Proxmox — навыки работы с сетями и базами данных — знание Python и автоматизации — опыт работы с Ansible и Docker — опыт работы с Debian и Linux — понимание вопросов безопасности — опыт поддержки систем Условия: — удалённая работа

Задачи: — Разрабатывать CV/ML-решения для преобразования чертежей в структурированные инженерные данные. — Работать с OCR, raster/vector geometry, CAD/BIM и пространственными связями. — Строить пайплайны оценки качества моделей и human-in-the-loop workflows. — Доводить модели до production, обеспечивать воспроизводимость обучения и deployment. — Определять технические подходы и принимать самостоятельные ML-решения. Требования: — 5+ лет опыта в ML/CV, включая production. — Опыт работы с геометрией, структурированными данными и сложными документами. — Сильные навыки оценки качества моделей и технической коммуникации. — English B2–C1, Russian C1–C2/native. Будет плюсом: опыт с CAD/BIM, архитектурными чертежами, OCR и raster-to-vector reconstruction. Предпочтительные часовой пояс: GMT+3–GMT+7.

Location: Москва Мы — команда ПКАП AEF, развивающая платформу данных внутри AEF (Agent Execution Framework — среды исполнения и управления AI-агентами в контуре банка), которая получает и обрабатывает трейсы работы агентов, формирует витрины для мониторинга, оценки качества и развития AI-агентов, а также для команд разработки, аналитики и внутренних потребителей Банка. Ищем инженера данных, умеющего доводить решения до промышленной эксплуатации и готового отвечать за их работу после запуска. Обязанности * разрабатывать и выводить в ПРОМ витрины на SQL, Spark, Scala. * разрабатывать сервисы для обработки и поставки данных. * готовить данные для исследований в лабораторном контуре: работать с трейсами, техническими показателями и метриками AI-агентов. * сопровождать витрины: анализировать логи и метрики, находить причины сбоев, устранять их и предотвращать повторение. * разрабатывать проверки качества данных и тестировать расчёты * поддерживать техническую документацию и базу знаний, консультировать внутренние команды по составу и использованию данных. Требования * опыт в data engineering от 3х лет * практический опыт разработки на PySpark или Spark * опыт разработки на Python или Scala * уверенное знание SQL (сложные запросы, оптимизация) * практический опыт работы с Hadoop, включая HDFS, YARN и Hive. * понимание устройства хранилищ данных, принципов построения витрин и организации потоков данных от источника до потребителя. * опыт вывода расчётов или сервисов в промышленную среду: Git, CI/CD, тестирование, диагностика сбоев по логам и метрикам. * знание и регулярное использование LLM-инструментов для инженерных задач. Важно уметь оценивать их ответы и самостоятельно отвечать за качество итогового решения. Условия * комфортный, современный офис м. Кутузовская * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * льготная ипотека для каждого сотрудника * бесплатная подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера. * корпоративная пенсионная программа * отсутствие строгого дресс-кода.

Core Requirements: — Strong hands-on experience with Databricks, especially Databricks Jobs — Advanced Python skills, writing notebooks daily from ingestion to the gold layer — Solid understanding of medallion architecture and how to define bronze / silver / gold boundaries — Experience working with Delta tables — Experience processing large volumes of PDF documents (100K+ files) — Experience calling LLM endpoints from notebooks and tracking token usage and cost — Experience with Azure cloud — Ability to design and consolidate job orchestration pipelines Nice to Have: — Experience with Neo4j or other graph databases — Experience with healthcare or clinical-research data — Experience building data layers consumed by AI agents What You'll Work On: — Extracting and structuring data from large collections of clinical-research PDFs — Building bronze, silver, and gold layers in Databricks with Python notebooks and Delta tables — Integrating LLM endpoints into data pipelines and monitoring token spend — Building a Neo4j graph alongside Delta tables for agents to query — Preparing gold-layer data for an agentic layer used as an API tool — Consolidating scattered and redundant Databricks job pipelines

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate the production systems that detect and stop abuse on the platform at internet scale. This is an engineering-first role, roughly 80% writing and shipping production code (services, pipelines, and infrastructure) and 20% modeling, taking detection and classification approaches from prototype to hardened systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with an emphasis on reliability, scalability, and observability Build and maintain machine learning (ML) infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks Ship large language model (LLM) and classical ML approaches for abuse detection and classification, turning prototypes into maintainable code Own systems end to end, from integrating a model into the platform through deployment, monitoring, and iteration Work with security, product, and infrastructure teams to turn abuse patterns and detection logic into production systems What you need 5+ years of software engineering experience building and operating production systems at scale Wrote production code in Python, plus JavaScript/TypeScript or Go Built and maintained ML infrastructure, such as training and serving pipelines, feature stores, or evaluation tooling Integrated LLMs into production systems, including prompt engineering and evaluation Bonus if you Built an open source ML tool Worked in the trust and safety, fraud, or abuse prevention domain Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Sydney, Australia Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Engineering Managers, we gain organisational alignment by building a strong engineering vision and offering creative solutions to organizational design. We also serve as mentors for a team of engineers, overseeing their performance and trying to find stretch opportunities for their growth. As a Manager, Software Engineering at Riot Games Sydney, you will lead a small team of staff software engineers contributing to Unreal Engine-based core technology. You will partner with engineering and product leaders to identify high-impact technical challenges, set priorities, and guide the delivery of reliable, reusable solutions that support game development across Riot. This role combines people leadership, technical judgement, and delivery leadership. You will help experienced engineers deepen their architectural expertise, grow as technical leaders, and extend their influence beyond their immediate team. As Riot’s needs evolve, you will help shape the team’s contribution to new challenges, building on a foundation of strong delivery, trusted partnerships, and shared technical knowledge. Responsibilities: Recruit engineers with strong technical judgement, collaborative leadership, and the ability to deliver in complex environments. Lead, coach, and develop a small team of staff software engineers, helping them strengthen their technical judgement, cross-team influence, and leadership while supporting their onboarding, performance, and career growth. Partner with engineering and product leaders to set clear priorities and connect the team’s work to meaningful developer and player outcomes. Build strong partnerships across relevant Riot teams to identify shared technical challenges, opportunities for reusable solutions, and ways to extend the team’s impact. Guide technical direction and delivery for Unreal Engine-based core technology work, balancing immediate needs with maintainability, reliability, and long-term value. Set a high bar for architectural judgement, technical collaboration, and delivery in complex or ambiguous problem spaces. Maintain clear technical ownership and effective knowledge sharing as projects and team responsibilities evolve. Stay hands-on through technical contributions outside the critical delivery path, such as prototyping, tooling, and engineering improvements, while keeping people leadership and team delivery as your primary focus. Required Qualifications: 7+ years professional experience as a software engineer 3+ years experience as an Engineering Manager leading engineers 3+ years experience in a technical lead role Experience recruiting candidates and growing an engineering team Experience with software development, including shipping one or more products on large code bases that span a range of platforms and tools. Experience collaborating across teams and disciplines to create solutions. Experience developing with C++ Experience working with game development teams Experience working with game engines Exposure to working with Unreal Engine Desired Qualifications: Experience with automation For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: At Riot we strongly believe in work / life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have co-op gaming areas, a play fund so you can broaden and deepen your knowledge of players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also: Medical Insurance that covers you and your dependents Employee Assistance Program Wellness fund Donation matching of time and money to registered charities Learning and Development opportunities At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

Location: London, United Kingdom Workplace: fully About InvestEngine We're a London-based fintech on a mission to make ETF investing simple and accessible. Over 150,000 clients have trusted us with over £3.5 billion in assets — and we're just getting started. We've been featured by MoneyWeek, Finder and Forbes, and we're growing fast with big ambitions. About the role InvestEngine is growing fast, and so is our engineering team. That means more infrastructure to run, more services to keep healthy and more requests from the people who build on top of it. We're adding a Middle SRE / DevOps Engineer to the DevOps team to keep our cloud platform safe, observable and reliable day to day, and to make it a little better every week. You'll join a small, senior team, report to the DevOps Team Lead and get hands-on onboarding from experienced engineers. Our platform runs mainly on AWS, with some GCP. This is a hands-on role with no people management. It suits someone who cares what happens to a system after the change is shipped, not just whether the ticket is closed. What you'll do Run and maintain our cloud infrastructure, mainly on AWS (EC2, VPC, IAM, S3, Route 53, CloudFront), with some GCP. Carry out planned maintenance: OS patching, updates and upgrades, backup checks and audit checks. Verify that MySQL backups actually restore and that failover works — safely, without putting production at risk. Look after monitoring and logging in Grafana and ELK: tune alerts, cut noise and turn signals into action. Handle requests from developers, Operations and our managed service partner, including access and permissions. Automate repetitive work with Python and Bash, and manage configuration with Ansible and Terraform. Take part in incident response and follow-ups, and help prevent the same issue from happening twice. Grow into owning a defined part of our infrastructure end to end. Roughly 60% of your time goes to planned maintenance and improvements, and up to 40% to incoming requests. Coding is limited to infrastructure as code and automation scripts. Your first 3 months Weeks 1–2: onboarding, access and security training, runbook review, your first supervised low-risk change and shadowing incident response. Month 1: handle routine maintenance on your own and fix at least one documented operational gap. Months 2–3: own an agreed area of the infrastructure and ship at least one meaningful reliability, visibility or automation improvement. What we're looking for 3+ years of hands-on experience with cloud and Linux infrastructure in production (web products or similar). Practical AWS experience: you can operate and troubleshoot core services, networking and permissions. Confident with Docker: runtime, resources, logs and health checks. Experience with Ansible for repeatable, idempotent configuration. Monitoring and logging with Grafana and ELK — you know the difference between a signal and noise. Scripting in Python and/or Bash to automate operational work, with safety checks built in. MySQL in high-availability setups: backups, restores, replication and failover. A safety-first approach to production changes: plan, validate, roll back and escalate when needed. Ownership of what you run after it ships, plus clear written and spoken communication. English at B2 level or higher and fluent Russian . Availability during UK working hours, and readiness to help with rare out-of-hours incidents. You don't need an "SRE" job title. Strong Linux/UNIX administrators who meet these requirements are very welcome to apply. Nice to have Terraform (working with existing modules is enough; you won't need to build them from scratch). Kubernetes. GCP or other cloud providers. Understanding of CI/CD pipelines. Cloud security best practices. Zabbix. Experience in fintech or another regulated industry (not required). Our stack Cloud: AWS (EC2, VPC, IAM, S3, Route 53, CloudFront), some GCP Containers: Docker Config & IaC: Ansible, Terraform Observability: Grafana, ELK, Zabbix Data: MySQL (HA setups) Automation: Python, Bash What we offer Real impact early on: you'll own part of the platform that thousands of investors rely on. Room to grow towards Senior SRE, with support from experienced DevOps engineers. A say in how we run and improve our infrastructure. A modern cloud stack and time set aside for improvements, not just firefighting. Fully remote work with UK-hours overlap. Unlimited vacation. A friendly, supportive engineering team. Hiring process HR interview with the Talent team Gamified cognitive assessment Technical interview with the DevOps team Final conversation with the CTO

Задачи: — улучшение доступности данных — обеспечение качества данных — улучшение обработки данных в облаке Требования: — опыт работы с data engineering — знание SQL — опыт работы с облачными технологиями — опыт работы с Data ingestion — опыт работы с Apache Spark — опыт работы с time-series database — навыки оптимизации производительности — знание Scala — опыт работы с распределёнными системами — знание алгоритмов — знание Python — опыт работы с AWS — опыт работы с Big data — навыки масштабируемости

Задачи: — проектирование, разработка и внедрение решений для масштабного инференса AI моделей. Требования: — навыки работы с машинным обучением, Diffuser, Git, C#, NCCL, PyTorch, Python, TensorFlow, NumPy; — опыт с agile разработкой; — умение оптимизировать код и проводить код-ревью; — знание алгоритмов, отладки и научных библиотек pandas, scipy. Условия: — работа в офисе в Софии, Болгария; — стажировка с возможностью получить опыт в AI и ML разработке.

HeyGen ищет инженера по прикладному искусственному интеллекту для работы с видеоагентами, который будет заниматься разработкой и оценкой функций AI-агентов в различных продуктах компании. В обязанности входит создание и тестирование новых возможностей с использованием технологий и методов, таких как feature flag, prompt engineering, A/B тестирование. Требуется опыт программирования на Go, Python, TypeScript, а также навыки работы с React и full stack разработкой. Кандидат должен уметь проводить оценку эффективности AI-агентов и интегрировать их в продуктовую экосистему. Зарплата варьируется от 180,000 до 240,000 долларов.

Location: Los Angeles, USA As a Staff Machine Learning Engineer on an unpublished R&D game project, you will own the strategy, design, and implementation of ML capabilities. You will work closely with developers, designers, and data scientists to understand their needs, and will be hands-on in conceptualizing, planning, implementing, and maintaining ML-driven solutions. We’re looking for someone who is passionate about enabling great player experiences, thrives in cross-disciplinary collaboration, stays current on the latest ML techniques, and can apply them pragmatically to challenging product problems. You will report to the Engineering Manager within the R&D game project. Responsibilities: Work closely with developers, designers, and data scientists to identify and define improvement opportunities Refine modeling and feature strategy for using techniques such as reinforcement learning Establish pipeline architecture patterns in partnership with central teams; build reusable training and evaluation pipelines that can be adapted to Riot-wide use cases Drive the application of ML/RL systems to improve decision-making and adaptation Establish research-to-production practices; balance cutting-edge techniques with production reliability Establish evaluation practices in partnership with data scientists and analytics partners; guide experiment design for measuring model impact and set technical evaluation standards Define reliability standards in partnership with design and engineering Advance and strengthen engineering best practices, including code quality, automated testing, and maintainable architecture Mentor engineers and partner disciplines through documentation, reviews, and technical design guidance Identify technical risks and bottlenecks, proposing pragmatic solutions to keep projects moving forward Required Qualifications: 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles, ideally within real-time or interactive environments Experience with reinforcement learning, including applying RL to practical production problems Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction Proficiency with modern ML/data science libraries and frameworks such as PyTorch, TensorFlow, pandas, etc. Experience collaborating regularly with teammates across multiple disciplines Strong communication skills across technical and non-technical audiences B.S. in Computer Science or equivalent experience Proficiency in Python or similar programming languages Desired Qualifications: Experience with multi-agent reinforcement learning Experience in developer tooling Experience implementing framework-level UI systems Experience in infrastructure and MLOps, such as ML cloud services, containers, and model telemetry Experience working in a AAA game engine (e.g. Unity, Unreal) Proficiency in C++ For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Mumbai, India We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role & Responsibilities The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable. Working for our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre, the role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders. Key reponsibilities will include: Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment. Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics. Build and optimise Delta tables and materialized views, with attention to performance at scale. Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts. Define job-specific compute configurations appropriate to each workload, balancing performance and cost. Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers). Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies. Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments. Operate autonomously across a workstream, from scoping through to production deployment. Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them. Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific. The Requirements Essential Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience. Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production. Demonstrated ownership of medallion architecture design and data modelling. Implemented data quality frameworks and data contracts in production. Implemented PII protection (masking, tokenisation or access tiering) across environments. Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services. Track record of autonomous delivery, including direct stakeholder engagement. Databricks Certified Data Engineer Associate (minimum). Desirable Databricks Certified Data Engineer Professional. Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions. Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway). Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards. Governance and identity patterns (e.g. Entra ID, RBAC scoping). Applying regulatory frameworks (e.g. GDPR) to data platform design. Shared service centre or global delivery model experience, ideally in energy or industrial services.

Location: Marousi, Greece Are you looking to start or further develop your career in networking and network security? EUROPEAN DYNAMICS is looking for a Junior Network Engineer to join our Network Team and contribute to the operation and support of enterprise network infrastructures for large-scale projects worldwide. The position offers hands-on exposure to enterprise networking and security technologies and the opportunity to develop experience across Cisco, HPE, Fortinet, F5, and other technologies while working alongside experienced network engineers. Key Responsibilities Support the day-to-day operation, monitoring, and troubleshooting of network infrastructure; Assist with routing, switching, firewall, VPN, and network security activities; Perform routine network administration, operational checks, and first-level troubleshooting; Assist senior team members with network changes, upgrades, migrations, and new deployments; Support the maintenance of network documentation, configurations, and operational procedures; Participate progressively in infrastructure projects and more advanced networking and security activities as experience develops. Requirements Must Have Qualifications Good understanding of IP networking and core networking concepts, including TCP/IP, subnetting, VLANs, routing, switching, and STP; Basic understanding of routing protocols such as OSPF and BGP; Basic understanding of firewalls, VPNs, and network security principles; Good analytical and troubleshooting skills; Strong interest in developing a career in networking and network security; Ability to learn, work effectively within a team, and gradually take on greater technical responsibility; Cisco CCNA or equivalent networking knowledge. Nice to Have Qualifications Previous professional, internship, or hands-on lab experience in networking or IT infrastructure; Exposure to Cisco, Fortinet, or other enterprise networking/security technologies; Fortinet certification or relevant security knowledge; Exposure to network monitoring and troubleshooting tools; Basic knowledge of cloud networking; Basic scripting or automation knowledge (e.g., Python, Ansible). Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( JNE/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.