Вакансии

Lambda is looking for an Engineering Manager Core Cloud Platform to lead cloud-platform services, technical strategy, engineering execution, and team development.

Разработка и оптимизация высоконагруженных приложений на C++ (C++11/14/17/20) под Windows и/или Linux. Проектирование и реализация архитектуры программных компонентов, работа с многопоточностью и сетевыми протоколами.

Location: Москва Разработки и поддержки витрин данных в Hadoop (HDFS, Iceberg, Hive), ETL - Spark, CTL - Oozie, CI/CD - Jenkins + BitBucket Обязанности • разработка DWH/DataLake/LakeHouse • построение поставки данных в Batch • оптимизация sparkовых джоб • разработка и валидация архитектуры данных Требования • отличное знание SQL (join, CTE, оконные функции, фреймы и др.) • опыт работы с Hadoop, Spark, Iceberg • опыт работы с оркестраторами (например, Airflow) и CI/CD • практическое знание Python (можно Scala) на уровне разработки ETL • практический опыт разработки промышленных ETL потоков Условия * офисный формат работы (Кутузовская) * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм, скидки от партнеров и сервисов группы компаний

• Разработка и поддержка автотестов; • Написание тестовых сценариев на основе требований и спецификаций продукта;

— Разработка и оптимизация Python-бэкенда. — Проектирование микросервисов и API для LLM, OCR/CV и пользовательских интерфейсов.

Location: Romania; Serbia; Poland Job Overview The Technical Project Manager will be responsible for end-to-end delivery of technology projects , working closely with Engineering, Product, DevOps, Infrastructure, QA, Security and business stakeholders. The ideal candidate should have strong technical understanding and be able to challenge estimates, identify dependencies, manage risks, drive engineering teams and communicate effectively with senior stakeholders. Key Responsibilities Project & Delivery Management Own end-to-end delivery across multiple technical projects and workstreams. Define project scope, milestones, deliverables, timelines and success criteria. Create and maintain detailed project plans, delivery roadmaps and release plans. Track progress against commitments and proactively manage delays. Drive projects from requirements through development, UAT, deployment and production stabilization. Ensure clear ownership and accountability across teams. Technical Project Management Work closely with Engineering, Architecture, DevOps, Infrastructure, QA and Security teams. Understand technical requirements, architecture, APIs, integrations, databases, cloud infrastructure and deployment processes. Review estimates and challenge assumptions where required. Identify technical dependencies, risks and resource constraints early. Coordinate resolution of technical blockers and cross-team dependencies. Ensure technical decisions and requirements are properly documented. Agile & Governance Drive Sprint Planning, backlog refinement, daily tracking, sprint reviews and retrospectives. Maintain project dashboards and delivery metrics. Ensure accurate capacity planning and resource allocation. Establish effective governance without creating unnecessary process overhead. Maintain RAID logs, action trackers and decision logs. Stakeholder Management Act as the primary delivery interface between engineering teams, product/business stakeholders and leadership. Provide clear and fact-based project status reporting. Escalate risks and issues early with recommended actions. Manage expectations around scope, timelines, resources and priorities. Conduct regular stakeholder reviews and project governance meetings. Resource Management Plan resources based on actual capacity and project requirements. Identify resource gaps and provide data-backed recommendations. Optimize utilization of existing engineering resources before requesting additional headcount. Coordinate cross-functional teams across India and international locations. Quality, UAT & Release Management Establish UAT plans, acceptance criteria and release readiness. Track defects and ensure timely resolution of critical issues. Coordinate release and deployment activities with DevOps/Infrastructure teams. Ensure production readiness and post-release stabilization. Technical Exposure Candidates should have working knowledge of several of the following: Web applications and SaaS platforms Frontend / Backend architecture APIs and third-party integrations Microservices Databases and data platforms Cloud platforms — AWS / Azure / GCP DevOps and CI/CD Docker / Kubernetes Identity & Access Management Security and authentication AI/ML platforms and infrastructure Monitoring, logging and observability Performance and scalability QA automation and testing frameworks Required Skills 8–12+ years of experience in technology/project/program delivery. Strong experience managing software engineering projects. Experience managing Frontend, Backend, QA, DevOps and Infrastructure teams . Strong understanding of Agile/Scrum methodologies. Proven experience managing multiple concurrent projects. Strong planning, estimation and dependency-management skills. Excellent stakeholder and communication skills. Experience working with distributed/global teams. Strong problem-solving and escalation-management capability. Experience with Jira, Tempo, Confluence or similar project management tools. Ability to manage delivery based on capacity, priorities and measurable outcomes . Preferred PMP / PRINCE2 / Scrum certification. Experience with SaaS / B2B technology platforms. Experience in Ecommerce, cloud, AI, data projects. Experience managing teams of 20+ engineers across multiple disciplines .

Location: Gurgaon, India Job Overview The Technical Project Manager will be responsible for end-to-end delivery of technology projects , working closely with Engineering, Product, DevOps, Infrastructure, QA, Security and business stakeholders. The ideal candidate should have strong technical understanding and be able to challenge estimates, identify dependencies, manage risks, drive engineering teams and communicate effectively with senior stakeholders. Key Responsibilities Project & Delivery Management Own end-to-end delivery across multiple technical projects and workstreams. Define project scope, milestones, deliverables, timelines and success criteria. Create and maintain detailed project plans, delivery roadmaps and release plans. Track progress against commitments and proactively manage delays. Drive projects from requirements through development, UAT, deployment and production stabilization. Ensure clear ownership and accountability across teams. Technical Project Management Work closely with Engineering, Architecture, DevOps, Infrastructure, QA and Security teams. Understand technical requirements, architecture, APIs, integrations, databases, cloud infrastructure and deployment processes. Review estimates and challenge assumptions where required. Identify technical dependencies, risks and resource constraints early. Coordinate resolution of technical blockers and cross-team dependencies. Ensure technical decisions and requirements are properly documented. Agile & Governance Drive Sprint Planning, backlog refinement, daily tracking, sprint reviews and retrospectives. Maintain project dashboards and delivery metrics. Ensure accurate capacity planning and resource allocation. Establish effective governance without creating unnecessary process overhead. Maintain RAID logs, action trackers and decision logs. Stakeholder Management Act as the primary delivery interface between engineering teams, product/business stakeholders and leadership. Provide clear and fact-based project status reporting. Escalate risks and issues early with recommended actions. Manage expectations around scope, timelines, resources and priorities. Conduct regular stakeholder reviews and project governance meetings. Resource Management Plan resources based on actual capacity and project requirements. Identify resource gaps and provide data-backed recommendations. Optimize utilization of existing engineering resources before requesting additional headcount. Coordinate cross-functional teams across India and international locations. Quality, UAT & Release Management Establish UAT plans, acceptance criteria and release readiness. Track defects and ensure timely resolution of critical issues. Coordinate release and deployment activities with DevOps/Infrastructure teams. Ensure production readiness and post-release stabilization. Technical Exposure Candidates should have working knowledge of several of the following: Web applications and SaaS platforms Frontend / Backend architecture APIs and third-party integrations Microservices Databases and data platforms Cloud platforms — AWS / Azure / GCP DevOps and CI/CD Docker / Kubernetes Identity & Access Management Security and authentication AI/ML platforms and infrastructure Monitoring, logging and observability Performance and scalability QA automation and testing frameworks Required Skills 8–12+ years of experience in technology/project/program delivery. Strong experience managing software engineering projects. Experience managing Frontend, Backend, QA, DevOps and Infrastructure teams . Strong understanding of Agile/Scrum methodologies. Proven experience managing multiple concurrent projects. Strong planning, estimation and dependency-management skills. Excellent stakeholder and communication skills. Experience working with distributed/global teams. Strong problem-solving and escalation-management capability. Experience with Jira, Tempo, Confluence or similar project management tools. Ability to manage delivery based on capacity, priorities and measurable outcomes . Preferred PMP / PRINCE2 / Scrum certification. Experience with SaaS / B2B technology platforms. Experience in Ecommerce, cloud, AI, data projects. Experience managing teams of 20+ engineers across multiple disciplines .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a high-ownership Mobile Engineer to join our team in Singapore. In this role, you will build, optimize, and scale consumer-facing mobile experiences that drive core growth across global markets—from acquisition and activation to trading conversion. We operate as an AI-native engineering team : we expect engineers to leverage modern agentic workflows (like Claude Code, Codex, and automated developer tooling) to build scalable features rapidly and craft next-generation engineering systems. While deep native Android proficiency is required, you will think holistically about the entire mobile lifecycle, taking end-to-end product ownership and collaborating across platform boundaries. What You'll Be Doing Drive Growth & User Experience: Design, build, and optimize high-impact mobile features focused on improving user acquisition, activation, trading conversion, and overall mobile user experience across global markets. Take End-to-End Ownership: Partner directly with Product Managers, Designers, Data Analysts, and Backend Engineers to define product requirements, tie technical execution directly to business metrics, and see features through from ideation to production impact. Pioneer AI-Native Workflows: Actively integrate modern AI engineering tools (e.g., Claude Code, Codex) into your daily routine. Help design and institutionalize automated, AI-powered development workflows, testing suites, and internal developer tooling beyond simple code generation. Shape Shared Mobile Architecture: Deliver robust native Android features while thinking beyond a single platform—contributing to shared mobile architectural standards, unified client-side design patterns, and cross-platform infrastructure. Iterate with Data & Rigor: Instrument robust event tracking, execute rigorous A/B experiments, analyze user behavior data, and iterate rapidly to drive sustained conversion improvements. Uphold Engineering Excellence: Write clean, modular, and resilient code. Maintain high standards for automated testing, performance tuning, crash-free session rates, and secure release governance. What We Look For In You Native Android Foundations: Solid software engineering fundamentals with production experience building, optimizing, and maintaining scalable native Android applications (Kotlin, modern Jetpack libraries, Clean Architecture). AI-Native Mindset: Active practitioner of modern AI coding assistants and agents (e.g., Claude Code, Codex, Cursor). A genuine drive to automate repetitive tasks and build AI-augmented developer workflows. Business & Product Ownership: Understanding user needs, business metrics, and taking end-to-end ownership of features and outcomes. Cross-Platform Vision: Ability to think beyond a single platform and contribute to shared mobile architecture. Experimentation & Execution: Hands-on experience or familiarity with mobile analytics, A/B testing methodologies, feature flagging, and rapid conversion optimization. Nice-To-Haves Experience in Fintech, Crypto, high-frequency trading platforms, or high-growth consumer apps. Experience maintaining or contributing to shared mobile frameworks, multiplatform architectures (e.g., Kotlin Multiplatform), or design systems. Experience building or maintaining modern mobile CI/CD pipelines (e.g., Fastlane, GitHub Actions, custom Gradle plugins). Proficiency in speaking, reading, and writing in both English and Mandarin to collaborate seamlessly with distributed product and engineering teams across global offices. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Shanghai, China Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. About the Role As a Senior Software Engineer on the Unpublished R&D Product, you will own and evolve tools or CI/CD modules within a defined area. You will contribute to Unreal Engine tooling, build pipeline maintenance, and engineering productivity improvements. Working closely with Client, Gameplay, Technical Art, Art, and QA teams, you will turn production challenges into reliable, reusable tools and workflows. You will report into the Sr Manager, Software Engineering of the team. Responsibilities: Maintain and optimize CI/CD and build pipelines, supporting automated builds, testing, packaging, and release delivery. Maintain jobs, scripts, and configurations in Horde, BuildGraph, or similar systems to support development, testing, and release builds. Develop Unreal Editor tools, automation scripts, asset validation tools, and data processing utilities using C++, Python, and related technologies. Diagnose and resolve build, Cook, packaging, and environment dependency issues, while improving logging, alerting, and recovery mechanisms. Analyze build efficiency and manual operational steps, and drive the standardization of build, packaging, and testing workflows. Partner with Client, Gameplay, Technical Art, Art, and QA teams to support tool adoption, release execution, and issue resolution. Qualifications: 3+ years of experience in software engineering, game tools, build systems, or CI/CD development. Strong proficiency in either C++ or Python; experience reading or maintaining code in the other language is a plus. Experience with Unreal Engine project or tool development, including an understanding of UBT, UAT, and BuildGraph, as well as familiarity with Editor, Build, Cook, and Package workflows. Familiarity with one or more CI/CD pipeline or build orchestration systems, such as Jenkins, Horde, or GitHub Actions. Familiarity with Git, Perforce, or other version control systems. Understanding of the core processes involved in automated builds, automated testing, packaging, artifact management, and version releases. Ability to independently drive engineering tasks within a defined scope, with strong cross-functional collaboration and communication skills. Strong log analysis, troubleshooting, and cross-environment debugging skills. Desired Qualifications: Experience with UAT, UBT, Unreal automated testing, or smoke testing. Experience developing tools for asset validation, performance checks, Cook validation, or resource pipelines. Experience with multi-platform, multi-configuration, distributed, or cloud builds. A track record of improving build stability, reducing build times, or lowering the cost of manual operations. 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!

Location: Dallas, USA; New York, USA; Orlando, USA We are looking for a Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not an advisory or architectural role. On-site at the client’s office in Downers Grove, IL (Chicago area), 3 days/week Duration: 12+ months The estimated salary range for this position is $140,000 to $160,000 per year. Design, develop, and maintain production-grade Python applications and APIs. Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability. Work directly with portfolio managers and front-office users to clarify requirements and validate results. Build data-intensive and analytics features using SQL and cloud data platforms. Contribute to CI/CD, automated testing, and code reviews. Apply AI-assisted development practices where they improve speed and quality. 5+ years of hands-on experience in production Python development. Python is the main language in your current role. ETF or investment front-office experience (asset management, investment banking, or capital markets). At a minimum, you have worked directly with portfolio managers or traders. Experience modernizing legacy or business-built applications. Strong SQL skills and experience with cloud platforms (AWS preferred). Experience with API design and integration, automated testing, CI/CD, and Git. Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders. Willingness to work on-site in Downers Grove 3 days/week. Experience with fixed-income ETFs, portfolio management, or investment analytics. Experience with Aladdin, BNY, or comparable investment platforms. Experience with Snowflake, Redshift, Databricks, or BigQuery. Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.

Location: Limassol, Cyprus At PayDepot , we develop multiple B2B and B2C fintech products, including payment infrastructure, crypto services, and financial platforms. We are growing rapidly and are looking for a QA Lead who will take ownership of our overall quality assurance strategy, lead the QA team, and ensure high-quality standards across all our products. We have a nice office in Limassol, and if you are not in Cyprus yet, we will assist with relocation for you and your family. What you'll do Lead and manage the QA team, ensuring effective task distribution, workload planning, and professional development Develop and implement the overall QA strategy, covering manual and automated testing across all products Establish and improve testing processes, methodologies, standards, and best practices Define testing priorities based on business needs, product requirements, deadlines, and potential risks Oversee testing activities, evaluate results, ensure adequate test coverage, and identify quality gaps Define and monitor QA metrics to assess team performance and testing effectiveness Collaborate with Product and Engineering teams to ensure quality throughout the development lifecycle Drive test automation development, including framework improvements, tool selection, and CI/CD integration Introduce AI-assisted tools for test case generation, test data creation and test automation, and measure their impact on coverage and speed. Use AI coding agents to speed up writing and maintaining automated tests, and set review standards for AI-generated test code. Apply AI to analyse test results, cluster flaky tests and failures, and speed up root-cause analysis. Establish quality processes for AI features in the product, such as LLM-based functionality, chatbots or recommendations. Coach the QA team on effective prompting and safe use of AI tools. Requirements 5+ years of experience in Software QA, including significant experience in test automation Proven experience in a QA Lead, QA Manager, or similar leadership role Experience managing, mentoring, and developing QA engineers Strong knowledge of manual and automated testing methodologies and processes Experience developing QA strategies and improving testing processes Hands-on experience with automation tools such as Playwright, Selenium, Cypress, Selenide, or similar Understanding of CI/CD, Agile development, and the software development lifecycle Experience with Jira, Confluence, and Git Hands-on experience using AI tools in daily QA work, for example AI coding assistants or LLMs for test design and analysis. Understanding of the limits of AI-generated tests, including hallucinated assertions, missing edge cases and false confidence in coverage. Ability to evaluate and pilot new AI testing tools and build a business case for adopting them. Awareness of data privacy and security risks when sharing code, logs or customer data with AI services. Good English, both spoken and written You're our perfect candidate if You have experience in fintech, banking, payment systems, or cryptocurrency You can balance strategic thinking with a hands-on technical approach You are comfortable making decisions, taking ownership, and working in a fast-paced environment You have strong communication and stakeholder management skills You have a genuine interest in the cryptocurrency space You already use AI tools in your daily QA work and can show how they made your team faster or your coverage better. What we offer Full relocation support and working visa Competitive salary Days off when you need them What awaits you The opportunity to shape and lead QA Automation practices across multiple fintech products Working in small, fast-moving Scrum teams No unnecessary bureaucracy – we follow best practices and common sense Pleasant colleagues, reasonable stakeholders, and a healthy internal culture A healthy, non-toxic environment – we respect work-life balance and turn off Slack during vacations

проектировать и улучшать релизные процессы: строить высоконагруженные пайплайны сборки и развертывания проектов в средах Kubernetes/OpenShift с использованием Jenkins и ArgoCD. разрабатывать и поддерживать внутренние DevOps-инструменты и автоматизации на базе Java/Groovy, интегрируя их с экосистемой платформы.

Разрабатывать и поддерживать Ansible playbook’и, шаблоны конфигураций и docker-compose файлы. Внедрять практики IaC для управления инфраструктурой.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Hardened Images (DHI) is Docker's catalogue of security-hardened, enterprise-grade container images and Helm charts, built to be minimal, up-to-date, and safe to deploy in regulated and security-conscious environments. We're looking for a Principal Software Engineer to set the long-term technical direction for this catalogue and shape how the broader container security ecosystem evolves inside and beyond Docker. At this level, you'll work across organizations, not just within one team. You'll set direction for major domains, resolve the highest-ambiguity problems in container supply chain security, and grow your impact through architectural leadership, cross-functional alignment, and influence on industry standards. This is a pure individual contributor role; influence comes through technical vision, design, and the ability to move organizations. _______________________________________________________________________ RESPONSIBILITIES - Own the architecture for DHI as a platform, making high-leverage decisions that define how images and Helm charts are authored, secured, distributed, and evolved across the entire catalogue and across Docker's broader product surface. - Define and drive multi-quarter technical roadmaps for the container hardening domain, balancing upstream velocity, supply chain security posture, customer compliance requirements, and long-term catalogue scalability. - Identify systemic patterns from customer, operational, and upstream signals and translate them into architectural changes that span the catalogue, not just individual images or charts. - Build alignment across teams and executives on technical strategy, tradeoffs, and sequencing, including product, security, infrastructure, and customer-facing functions. - Represent Docker as a trusted technical voice in escalations, key enterprise customer engagements, and upstream OSS communities on issues that shape the future of secure container delivery. - Set conventions and standards at scale, defining the patterns others build within for image definition, Helm chart adaptation, hardening strategy, and supply chain tooling (Sigstore, SBOM, SLSA), and evolving those standards as the ecosystem changes. - Drive the hardest, most ambiguous packaging problems where the right answer requires reasoning across upstream dynamics, security tradeoffs, multi-arch constraints, and customer impact simultaneously. - Shape the integration test infrastructure and developer tooling strategy so that DHI's engineering platform scales with the catalogue and raises quality across the team. - Mentor and raise the technical ceiling for staff and senior engineers across the org, through review, design, and well-chosen architectural decisions that create durable leverage. - Take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. _______________________________________________________________________ QUALIFICATIONS - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Ability to set multi-quarter technical roadmaps and align stakeholders (engineering, product, and executives) on strategy and tradeoffs. - Deep expertise in the container and Kubernetes ecosystem: you have strong, grounded opinions about cert-manager, kyverno, grafana, istio, and similar projects, and you can reason about tradeoffs at the ecosystem level, not just the image level. - Mastery of container supply chain security concepts (provenance, attestation, SBOM, signing, SLSA) and experience driving posture decisions across an organization rather than implementing them on a single project. - Strong software engineering fundamentals: code review, testing, source control, CI/CD, and Go sufficient to shape infrastructure and harness design. - Track record of technical influence without authority across multiple teams or organizations, raising quality through design docs, standards, review, and mentorship. - Experience navigating upstream OSS communities as a decision-maker, representing a downstream organization's requirements and shaping upstream direction on security-relevant issues. - Comfort working across remote, distributed teams and communicating complex technical strategy clearly to both technical and non-technical audiences. BONUS BUT NOT REQUIRED - Experience as a package maintainer at a Linux distribution, Homebrew, or comparable ecosystem. - Hands-on experience implementing or operationalizing supply chain tooling (Sigstore, SBOM, SLSA) at org scale. - Experience in regulated environments (FedRAMP, FIPS, PCI) with direct exposure to compliance requirements shaping engineering decisions. - Prior Principal or Distinguished IC experience on a platform, security, or developer-tools team. - Experience engaging directly with enterprise customers on container security architecture. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Align with leadership on the most critical org-wide technical risks and opportunities in container supply chain security. - Develop a point of view on DHI's current architectural constraints and where the highest-leverage interventions are. - Begin mapping the cross-functional landscape: product priorities, upstream pressures, customer compliance signals, and engineering gaps. FIRST 90 DAYS - Drive an architectural decision that unblocks multiple teams and reduces systemic risk across the catalogue. - Establish a feedback loop from customer, operational, and upstream signals into the multi-quarter roadmap. - Engage upstream OSS communities on at least one DHI-relevant issue with meaningful influence on direction. FIRST YEAR - Deliver a major platform or standards evolution with broad adoption across DHI and adjacent teams. - Create durable alignment across engineering, product, and security on catalogue architecture, supply chain posture, and hardening strategy. - Raise the technical ceiling for the engineers around you, measurably improving review quality, architectural consistency, and the team's ability to operate independently at a higher level. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$245,913 – CA$397,139 base United States: $180,500 – $291,500 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York 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 We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) 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.

You’ll take direct ownership of security across cloud infrastructure, CI/CD pipelines and development processes, helping build products that are both secure and scalable. 🔹 Securing cloud infrastructure.

• Разрабатывать новые фичи и поддерживать фронтенд и бэкенд.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Platform Engineer Location: New York City, Madison Square Park area Reports to: Head of Engineering Experience Level: 6+ years Work Model: Hybrid, with regular in-office presence Why Join Enterprise AI? Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. As a Platform Engineer, You Will Build Core Platform Services Design, build, and operate the services that support the Enterprise AI platform, including platform infrastructure and the model gateway. Enable Enterprise Deployment Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign environments. Own Infrastructure and Delivery Systems Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using Kubernetes, Helm, Terraform or Pulumi, and GitOps practices. Build for Reliability Design systems that support secure multi-tenant operation, reliable service ownership, and clear operational accountability. Establish Observability Build observability across the platform using service-level objectives, structured logging, metrics, tracing, and alerting. Build FinOps Visibility Develop telemetry that tracks model and compute costs by tenant. The Anti-Sell Hands-on software engineering: This is not a cloud-operations or ticket-queue DevOps role. You must be able to write production software and contribute deeply to platform services. Operational ownership: You will participate in on-call operations and incident response and help build the processes required to operate a production platform. Deployment complexity: The platform must operate across client cloud accounts, dedicated instances, and sovereign environments. Team accountability: The platform must be observable, operable, and maintainable by the team rather than dependent on one individual. Our Enterprise AI Platform Engineers Typically Have Production platform engineering experience: Six or more years of platform or infrastructure engineering experience supporting production SaaS. Customer-controlled deployment experience: Experience shipping a product that customers run in their own environment, including in a VPC, a self-hosted environment, or an air-gapped environment. Strong software engineering depth: Deep expertise in at least one backend language, such as Go, Ruby, Python, or TypeScript, with the ability to read and work across the others. Cloud and infrastructure expertise: Deep experience in at least one cloud and comfort working in a second, including private networking, KMS, IAM, Kubernetes, Helm, Terraform or Pulumi, and GitOps. Reliability and observability ownership: Experience carrying a pager, running incidents, and working with tools such as OpenTelemetry, Prometheus, or Datadog. Data and platform systems experience: Familiarity with Postgres, object storage, queues, and vector stores. Candidates whose experience is limited to cloud operations or ticket-queue DevOps without software engineering, or who have never operated multi-tenant systems, will not be a fit for this role. Top-Tier Candidates Will Have Experience with model serving and model gateways, including vLLM, LiteLLM, or Triton. Experience implementing SOC 2 controls in CI. Experience deploying and operating AI systems in regulated or highly controlled environments. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .