Вакансии

Задачи: — настройка и поддержка серверной инфраструктуры; — работа с Linux-серверами; — участие в настройке и поддержке CI/CD-процессов; — работа с Docker и Docker Compose; — развертывание и обновление приложений на тестовых и production-серверах; — настройка и поддержка Nginx; — мониторинг состояния сервисов и анализ логов; — участие в автоматизации процессов разработки и развертывания. Требования: — студент 4 курса бакалавриата или выпускник бакалавриата 2026 года; — базовые знания Linux и командной строки; — понимание основ Docker и контейнеризации; — понимание принципов CI/CD; — базовые навыки работы с Git; — понимание основ сетей: HTTP/HTTPS, DNS, IP и порты; — базовое понимание работы Nginx; — наличие учебных или pet-проектов будет преимуществом; — желание развиваться в направлении DevOps, Cloud и Infrastructure. Условия: — график 5/2; — офис в Алматы, ул. Кабдолова, 22Б.

В рамках проекта по созданию платформы интегрированного планирования требуется инженер машинного обучения для разработки модулей, связанных с планированием снабжения и производства. В обязанности входит проектирование и реализация компонентов для календарного и производственного планирования, а также оптимизации запасов. Необходимо формализовать бизнес-задачи в виде математических моделей оптимизации, включая линейное программирование (LP) и смешанно-целочисленное линейное программирование (MILP). Кандидат должен обладать глубокими знаниями алгоритмов и структур данных, владеть Python на уровне Senior, уметь применять шаблоны ООП и проектировать сложные вычислительные решения. Требуется опыт работы с SQL, PostgreSQL, Git, а также навыки юнит- и интеграционного тестирования. Опыт в области Operations Research, систем планирования производства (APS), логистики или управления цепочками поставок обязателен, как и практический опыт построения моделей дискретной и линейной оптимизации для реальных задач. Дополнительным преимуществом будет знание инструментов оптимизации (Pyomo, OR-Tools, PuLP, COIN-OR), решателей (Gurobi, CPLEX, SCIP, COPT, GLPK), математической статистики, методов дискретной оптимизации и программирования на C/C++ для оптимизации вычислительных узлов. Также приветствуется опыт работы в Unix-подобных системах, понимание принципов CI/CD, умение декомпозировать крупномасштабные задачи оптимизации, а также наличие высшего технического или математического образования и специализированных курсов по дискретной оптимизации, Operations Research или алгоритмам. Проект рассчитан на 3 месяца с возможностью продления, работа удалённая, гражданство РФ обязательно, форма занятости — ГПХ или ИП.

Задачи: — Автоматизация тест-кейсов — Сопровождение и поддержка существующих автотестов в актуальном состоянии — Запуск автотестов и анализ отчетов — Модернизация и оптимизация фреймворка автоматизации тестирования — Работа с документацией (Confluence, Swagger, ТестОпс) Требования: — Коммерческий опыт автоматизации тестирования веб-приложений (SOAP, REST) на языке Python от 1 года — Знание теории и методик тестирования ПО — Знание и применение ООП и основных паттернов проектирования в автоматизации тестирования — Знание HTTP, REST, SOAP и клиент-серверной архитектуры, микросервисной архитектуры — Знание SQL (на уровне join) — Опыт разработки автотестов (pytest + requests + allure) — Опыт работы с Git — Опыт использования CI/CD GitLab — Опыт работы с брокерами сообщений Kafka, ActiveMQ — Опыт работы с системами логирования Kibana, Grafana Плюсом будет: — Опыт работы Docker, K8s — Работа с 1C Условия: — Официальное трудоустройство в аккредитованную IT-компанию — ДМС — Удаленный формат работы (предоставляем технику, если нужно) — Возможности обучения и развития за счет компании — Можно работать из офиса в СПБ с современным дизайном и лучшими видами на Финский залив, зонами отдыха с выходом на крыше

Location: Москва Команда занимается разработкой «AI-помощника» - это проект с использованием LLM, который призван радикально улучшить клиентский опыт при при оформлении основных продуктов банка (Автоиндустрия) и помочь клиенту разобраться в этих продуктах. Для решения новых задач по развитию «AI-помощника» в «Сбербанк Онлайн» и поверхностях экосистемы СБЕРа мы ищем к нам в команду инженера по тестированию. Обязанности ### Обязанности * проверка точности рекомендаций и подсказок помощника * оценка качества диалогового взаимодействия и реакции на нестандартные запросы * мониторинг производительности системы при обработке сложных сценариев общения * проведение функционального/регрессионного тестирования помощника * разработка тестовой модели (составление и актуализация тест-планов и тест-кейсов) * обнаружение, заведение и отслеживание дефектов в Jira * автоматизация функционального/регрессионного тестирования * взаимодействие с разработчиками, аналитиками, смежными командами, сопровождением * организация и проведение приемо-сдаточных испытаний разработанных решений * разработка/поддержание документации по разрабатываемым системам. * разбор обращений клиентов в рамках 3-линии поддержки * участие в запуске и разборе автотестов в перспективе Требования ### Требования * уверенное знание методологии тестирования ПО * опыт тестирования WEB-сервисов от 2 лет (frontend & backend) * опыт тестирования микросервисов и API от 2 лет * опыт использования и понимание основ тестирования AI-агентов * опыт написания автотестов на Python (pytest, requests, playwright) * понимание принципов REST-архитектуры * опыт работы и ведения тестовой модели (тест-кейсы, тест-планы, тест-раны, покрытие, etc.) * понимание основных принципов CI/CD и инструментов * навыки работы с SQL (Составление простых запросов) * опыт работы с системами учета дефектов (Jira или аналогами) ### Будет плюсом * опыт работы в банковском секторе * опыт тестирования AI, чатов или чат-ботов Условия ### Наши условия * гибридный формат в Москве (Кутузовский пр, 32) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Location: Brazil Who We Are At YallaPlay, We are a rapidly growing startup mobile gaming studio on a mission to bring people together through play, we create exciting mobile games that bring joy to millions of players worldwide. Founded in Austin, Texas, we’ve since expanded to Brazil and the UAE, growing our diverse and talented team of creators. We pride ourselves on a fun and collaborative work environment, with a remote-friendly culture and a dedication to producing high-quality, engaging games. Our current titles, including “Spades Masters” (iOS/Android), have been enjoyed by millions of players globally. Our passion lies in reinventing card games infusing them with fresh mechanics, beautiful design, and social features that spark connection and excitement. As we continue to scale, we’re looking for creative, driven individuals who are excited to help shape the future of multiplayer mobile gaming in a fast-paced, collaborative environment. Join us and be part of building something big from the ground up. The Opportunity We're looking for a Unity Developer to help build high-quality mobile games faster and smarter. Reporting to the Lead Unity Developer, you'll use modern AI development tools alongside your technical expertise to implement game features, prototype ideas rapidly, solve complex engineering problems, and continuously improve development velocity. This role spans the entire game development lifecycle, from rapid prototyping to live operations. Success requires strong Unity fundamentals, excellent engineering judgment, and the ability to use AI as a force multiplier while maintaining high standards for code quality, performance, and player experience. This position is remote and from Brazil. What You’ll Be Doing Develop and implement mobile games in Unity for iOS and Android. Use AI-powered development tools to accelerate coding, debugging, refactoring, documentation, testing, and prototyping while maintaining production-quality standards. Collaborate with designers, producers, artists, backend engineers, and QA to deliver polished player experiences. Write clean, scalable, maintainable C# code and validate AI-generated code before production use. Rapidly prototype gameplay mechanics and iterate based on team feedback. Optimize performance across a wide range of mobile devices using Unity profiling tools. Debug complex gameplay, networking, memory, and platform-specific issues. Implement gameplay systems, UI, animations, VFX, audio, and live operations features. Contribute to CI/CD, build automation, and deployment pipelines. Review code, improve engineering standards, and contribute to reusable systems and internal tools. Continuously evaluate new AI tools and workflows that improve team productivity. Participate in Agile development processes, including sprint planning and daily standups. What We’re Looking For What you need to have: Bachelor's degree in Computer Science, Software Engineering, Interactive Media, or equivalent experience. 5+ years developing mobile games with Unity. At least 2 shipped mobile game titles. Excellent C# programming skills. Strong understanding of Unity architecture, UI Toolkit/uGUI, prefabs, asset management, animation, audio, and scene management. Experience building both 2D and 3D mobile games. Experience optimizing CPU, GPU, memory, and battery performance. Experience with REST APIs, WebSockets, or multiplayer networking. Strong debugging and problem-solving skills. Experience working in Agile teams. Excellent communication and collaboration skills. AI-First Development We expect our engineers to use AI as part of their daily workflow. You should: Be comfortable using AI coding assistants (such as Unity AI, GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar). Know how to write effective prompts for technical tasks. Critically review, validate, test, and improve AI-generated code rather than accepting it blindly. Use AI to accelerate debugging, documentation, testing, refactoring, and code generation. Continuously experiment with new AI workflows that improve development speed without compromising quality. Understand the limitations, risks, and security considerations of AI-assisted software development. Why YallaPlay What You Get Real Impact – You’ll work on meaningful projects that reach a global audience. Collaborative Culture – Small team, big ambition. We keep things fun, respectful, and feedback-driven. Benefits & Perks Competitive salary Remote-first and flexible schedule- Digital nomad friendly Generous paid time off Paid birthdays off Growth opportunities and access to learning resources A team that actually loves games—and each other Next Steps Ready to join the team? We’d love to hear from you! Apply Share sample code and projects (GitHub) We review every application carefully and will be in touch if there’s a fit. Good luck!

Location: Москва Наша команда занимается разработкой системы по приему и обработке запросов клиентов на консультацию по финансовым операциям. Система должна поддерживать API для внешних интеграций, ЭЦП для вложений/запросов. Существует как фронтальная так и бэковая части, а также интеграции со смежными системами как внутри так и вне организации. Используемый стэк технологий: * приложения на основе Java, упакованные в docker и работающие на k8s * сервера nginx, sowa, kafka * системы хранения (форк PostgreSQL) * DevOps (Jenkins, Git, Ansible, DPM) * операционные системы Unix-like (RedHat). Обязанности * настройка и поддержка CI/CD pipeline * настройка интеграций с инструментами DevSecOps * создание и управление инструментами DevOps (DevOpsPortal) * первичное конфигурирование КТС тестовых сред (организация доступов, получение токенов, установка дополнительных модулей) * написание документации на проектируемые и внедряемые решения * разработка манифестов k8s * настройка маршрутизации трафика (ISTIO) * организация хранения секретов в SecMan * разработка Jenkins Job (groovy) для автоматизации получения отчетов, запуска тестов и прочих рутинных задач в рамках производственного процесса * поддержка тестовых стендов, обновление стендозависимых параметров * создание helm чартов * настройка получения сертификатов и взаимодействия по mTLS. Требования * опыт в роли DevOps от 3-x лет с пониманием всего жизненного цикла разработки и внедрения ПО * понимание CI/CD практик * понимание систем сборки, таких как Gradle и Maven. * опыт работы с облачной инфраструктурой, Kubernetes * опыт работы с Linux (RHEL,CentOS), знание bash * практический опыт работы с Ansible, Kubernetes/OpenShift * опыт работы с Helm * опыт работы с Jenkins (Groovy) * понимание работы tls/mtls * опыт работы с Kafka Будет плюсом: * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * комфортный современный офис рядом с м. Ленинский проспект, ул. Вавилова 19, формат работы - гибрид * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia As a Senior Ruby on Rails Developer, you'll join the engineering team as a hands-on senior contributor on Tools Portal. You'll own significant parts of the codebase, raise the bar on code quality and engineering practices, and help shape how the internal tooling evolves. Tools Portal is a collection of internal tools built to support different operational tasks and make everyday processes easier to manage. One of its main applications is Booking Admin, designed for travel agents to view, manage, and process bookings made through the booking system. It provides a central place for handling reservations and keeping booking information up to date. The portal is built on Ruby on Rails 8.1, and applications across the client's ecosystem are hosted on a combination of on-premises infrastructure and Google Cloud Platform. Design, build and maintain features in a Rails 8.1 application that serves real customer traffic Take ownership of key areas of the platform, from design through to production Contribute to architecture decisions, code reviews and technical planning together with the team Improve the reliability, performance and maintainability of the platform, including refactoring legacy parts where it pays off Support deployments, monitoring and production troubleshooting across the current environments Build and maintain integrations with third-party travel suppliers and internal services Promote solid engineering practices: automated testing, CI/CD, clear documentation, sensible upgrade paths Partner with product and business stakeholders to turn requirements into well-scoped technical solutions 5+ years of commercial experience with Ruby Strong, hands-on experience with Ruby on Rails in production, including recent versions (Rails 7/8) Hands-on experience with Google Cloud Platform (GCP), ideally including running Rails applications on it Solid knowledge of relational databases and SQL (e.g. PostgreSQL or MySQL) Experience writing automated tests with RSpec or Minitest A proactive, ownership-driven approach and the ability to work autonomously Upper-Intermediate English or higher Experience migrating applications from on-premise infrastructure to the cloud Experience in travel, e-commerce or booking platforms Experience with background job processing (Sidekiq, Solid Queue) and caching (Redis, Solid Cache) Hotwire (Turbo/Stimulus) on the frontend Experience upgrading Rails applications across major versions Docker and infrastructure as code (Terraform) on GCP Experience integrating with external APIs (suppliers, payment providers); Experience mentoring or onboarding other engineers

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for a Senior DevOps / Platform Engineer to develop and operate GoMining's cloud platform. The primary focus of this role is GCP and Kubernetes , infrastructure and application delivery automation, and the reliability and security of production services. You will maintain and improve our existing infrastructure, contribute to the development of the next generation of our platform, and help product teams ship changes safely and efficiently. Responsibilities Develop and operate infrastructure in GCP , including GKE, virtual machines, networking, load balancers, storage, and managed services. Manage Infrastructure as Code with Terraform : develop modules, manage state and dependencies, ensure reproducible changes, and identify configuration drift. Operate Kubernetes : upgrade clusters and platform components, configure autoscaling, workload placement, network policies, and resource allocation. Develop CI/CD and GitOps using GitLab CI and Flux / Argo CD, automating builds, checks, deployments, controlled releases, and rollbacks. Build observability across metrics, logs, distributed tracing, and actionable alerting. Define and improve SLIs/SLOs together with engineering teams. Troubleshoot production incidents and performance issues, conduct root cause analysis, and eliminate recurring failure patterns. Implement least-privilege access, environment and service isolation, secure secrets management and rotation, and infrastructure audit controls. Maintain backup processes and regularly validate recovery of critical data and infrastructure according to agreed RPO/RTO . Help engineering teams prepare services for production, including health checks, resource configuration, telemetry, and deployment procedures. Optimize cloud infrastructure usage and costs while maintaining reliability requirements. Maintain infrastructure documentation, operational runbooks, and recovery procedures. Requirements Strong hands-on experience independently operating production infrastructure and Kubernetes , including upgrades, troubleshooting, and disaster recovery. Strong experience with GCP , including GKE, Compute Engine, VPC, IAM, and Cloud Storage; good understanding of Cloud SQL, Cloud Logging, and Cloud Monitoring. Hands-on experience with Terraform , including modules, remote state, locking, importing existing resources, and safely applying infrastructure changes through CI. Deep knowledge of Kubernetes and containerization : Deployments, StatefulSets, Services, Ingress, storage, requests/limits, probes, autoscaling, RBAC, and NetworkPolicy. Experience with Helm and Kustomize . Strong Linux administration skills, preferably Debian/Ubuntu: processes, systemd, filesystems, disks, and resource troubleshooting. Strong networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, routing, NAT, load balancing, and firewalls. Ability to troubleshoot connectivity issues across applications, Kubernetes clusters, networks, and cloud services. Experience building CI/CD pipelines, preferably with GitLab CI , and strong understanding of Git and GitOps principles. Understanding of runner permissions, secrets protection, and production deployment controls. Automation skills with Bash and Python , including maintainable infrastructure scripts and API integrations. Experience with monitoring, logging, and alerting using tools such as Prometheus, Grafana, or Cloud Monitoring . Practical experience operating PostgreSQL and understanding Redis and RabbitMQ, including availability, connections, replication or clustering, backup, and recovery. Strong understanding of cloud security principles: least privilege, service accounts, Workload Identity, secrets management, network segmentation, and access auditing. Ability to independently deliver infrastructure changes to a validated production result, explain technical trade-offs, and collaborate effectively with Engineering and Security teams. Nice to Have Experience with Flux CD, Argo CD, Ansible, and HashiCorp Vault . Experience with OpenTelemetry and distributed tracing. Experience migrating infrastructure between clouds or Kubernetes clusters, including database migrations with limited downtime. Experience designing disaster recovery strategies and conducting recovery exercises. Cloud cost optimization and capacity planning experience. Experience with DigitalOcean, Hetzner, or AWS . Ability to read and troubleshoot JavaScript / TypeScript applications. Experience operating financial or payment services with strict requirements around access control, auditing, reliability, and data integrity. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Los Angeles, USA Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from secure and compliant systems to efficient business platforms that keep the company running smoothly. HR Tech & Systems builds and evolves the technology ecosystem that supports Rioters across the employee lifecycle. As a Staff AI & Data Engineer, HR Systems , you will bring deep AI and modern data engineering expertise to HR Systems, accelerating our evolution into an AI-augmented and data-enabled engineering organization. You will be a hands-on builder who designs and delivers AI agents, intelligent automations, data products, and reusable engineering capabilities across Riot's HR Technology ecosystem. You will combine strong AI and data engineering expertise with meaningful HR technology and domain knowledge. You will work across Workday, Databricks, and Riot's broader AI and enterprise technology ecosystem to turn trusted HR data and complex HR processes into secure, scalable solutions. Just as importantly, you will help build these capabilities within the existing team. You will pair with HR Tech engineers, establish practical engineering patterns, and provide hands-on mentorship in AI, Databricks, and modern development practices so the team can increasingly design, build, and support these solutions independently. You will partner closely with HR Tech & Systems, Enterprise Data & AI, Enterprise Software Engineering, HR COEs, and other Enterprise Technology teams. The role reports to the Senior Manager, HR Tech & Systems. Responsibilities: HR Technology Engineering & Automation Apply deep HR technology knowledge to discover opportunities and develop solutions across HR operations, recruiting, onboarding, compensation, benefits, learning, talent, workforce planning, and HR analytics. Leverage Riot's evolving AI and automation ecosystem, including tools such as Workato, Windsurf, Devin, and TrueFoundry, to accelerate development and delivery. Evaluate opportunities within HR Technology’s workflow and portfolio of applications, including SaaS and custom systems, to establish best practices and introduce new AI-enhanced capabilities. Partner with HR stakeholders, product owners, and technical teams to identify high-value opportunities and determine when AI, automation, data products, integrations, or native platform capabilities are the most appropriate solution. Translate complex HR processes, policies, and operational needs into scalable technical solutions that improve Rioter experiences and business outcomes. Drive solutions through the full lifecycle from discovery and prototyping through implementation, adoption, measurement, and continuous improvement. AI & Agent Engineering Design and build agentic AI solutions using LLMs, RAG, tool calling, memory, orchestration, and APIs to make business-context-aware decisions and take actions within defined guardrails. Leverage Databricks AI capabilities—including Unity Catalog, model serving, and vector search—and select appropriate models, prompting, retrieval, and orchestration patterns based on business needs, performance, scalability, and cost. Establish evaluation, testing, and observability practices that ensure AI solutions are accurate, grounded, reliable, safe, measurable, and production-ready. Design secure and responsible AI solutions with appropriate identity-aware access, human oversight, transparency, auditability, and controls for sensitive HR data and workflows. Partner with Enterprise Data & AI and Security to establish reusable AI patterns, standards, and guardrails, rapidly evaluating emerging capabilities and scaling those that demonstrate measurable business value. Data Engineering & Architecture Design scalable HR data pipelines, products, and domain models on Databricks using medallion architecture and Unity Catalog to provide governed, secure access to trusted HR data. Integrate structured and unstructured data across Workday, Databricks, enterprise applications, and AI services using MCPs, APIs, events, pipelines, and modern orchestration patterns. Establish data products, contracts, semantic models, and metadata that define ownership, business meaning, quality, lineage, freshness, and appropriate use of HR data. Ensure HR data is fit for analytics and AI through clear source-of-truth definitions, standardized business concepts, and strong data quality, privacy, security, and governance practices. Design resilient architectures that appropriately balance scalability, performance, reliability, and cost in partnership with Enterprise Data & AI and system owners. Team Enablement & Engineering Excellence Mentor and pair with HR Tech engineers to build AI agents, Databricks solutions, data products, and automations, growing sustainable AI and data engineering capability across the team. Establish reusable architectures, development patterns, documentation, and engineering standards that enable the team to independently build and scale solutions. Partner with the HR Tech & Systems Development Lead to establish AI/agent observability, reliability, adoption metrics, and SLA/SLO practices while optimizing architecture, model usage, and compute for performance and cost. Partner with technical leaders across Enterprise Technology to align HR Tech solutions with broader architecture and engineering standards. Required Qualifications: 7+ years of software engineering, data engineering, AI/ML engineering, solution engineering, or related technical experience, with demonstrated experience designing and delivering production solutions in enterprise environments. Demonstrated hands-on experience building and deploying generative AI and/or agentic AI solutions using LLMs, RAG, tool calling, orchestration, APIs, and modern AI architectures. Demonstrated experience designing and delivering secure, resilient enterprise integrations within event-driven architectures using MCPs, APIs, webhooks, orchestration platforms, AWS lambda and relevant SaaS capabilities, with robust authentication, authorization, idempotency, retry, and error-handling patterns. Hands-on experience with Databricks, including Unity Catalog, medallion architecture, and AI capabilities such as model serving, vector search, or Mosaic AI. Experience designing scalable data pipelines, data models, and data products using structured and unstructured enterprise data. Meaningful hands-on experience with HR technology, HR data, and employee lifecycle processes, including enterprise platforms such as Workday, VNDLY, Greenhouse, or ServiceNow. Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data/AI, or a related field, or equivalent practical experience. Desired Qualifications: Deep hands-on experience with Workday, including integrations/APIs, Extend, Prism, reporting, Business Process Framework, or Workday data architecture. Experience with MCP, multi-agent architectures, enterprise knowledge systems, semantic search, and advanced RAG architectures. Experience with Workato, Windsurf, Devin, TrueFoundry, Microsoft Copilot, or comparable AI development, automation, and deployment platforms. Experience with AWS, GCP, or another major cloud platform, including CI/CD, DevOps, and production observability. Experience with HR Analytics, workforce planning, talent intelligence, or other HR domain data models. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! 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: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast. This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.   RESPONSIBILITIES Incident Response - Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review. - Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken. - Communicate incident status, impact, and risk clearly to technical and executive audiences. - Participate in and help shape the security on-call rotation. Investigation & Forensics - Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts. - Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents. - Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected. IR Automation & Tooling - Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage. - Develop and maintain response playbooks and runbooks, and automate them where possible. - Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain. Detection & Continuous Improvement - Turn incident findings into new or improved detections, logging coverage, and visibility. - Lead blameless post-incident reviews and drive remediation items to completion. - Run tabletop exercises and simulations to test readiness and find gaps.   REQUIRED SKILLS & EXPERIENCE - Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment. - Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure. - Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation. - Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking). - Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads. - Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse). - Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes. - Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.   PREFERRED QUALIFICATIONS - Experience building or operating SOAR or other response automation platforms. - Digital forensics experience with cloud, Linux hosts, or containers. - Experience with threat intelligence, threat hunting, or security research. - Experience with bug bounty programs or coordinated vulnerability disclosure. - Familiarity with detection-as-code practices and writing detection rules. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. - Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience. WHAT WE VALUE - Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems. - Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning. - Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure. - Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels. - Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion. - Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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 As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role This is an overnight shift role with working hours of 12:00am - 7:00am EST. As a Support Engineer on our U.S. Government Support Engineering team, you operate at the critical intersection of Support and Engineering, enabling public sector organizations and United States government agencies to run GitLab in some of the most secure and constrained environments in the world. Your work directly supports national security missions, including customers operating within FedRAMP-authorized, air-gapped, and classified or semi-classified environments where traditional troubleshooting approaches are not always possible. In this role, you will engage deeply with GitLab through the command line; analyzing logs, system behavior, and application performance with strong Linux fundamentals and an understanding of how GitLab’s components interact end-to-end. You may partner with Product and Engineering to reproduce and document edge-case defects using sanitized or redacted data, or contribute directly to the product by opening merge requests that resolve customer-impacting issues. Beyond resolving individual cases, you’ll help strengthen GitLab by improving documentation, support workflows, and institutional knowledge, ensuring that lessons learned in highly regulated environments benefit the broader platform; all while working in a fully remote, highly collaborative environment built on trust, autonomy, and shared ownership. Some examples of our projects: A tool to quickly analyze strace output A solution to capture the state of a customer’s server for easier troubleshooting A functionality to ChatOps to make it easier to identify user accounts on GitLab.com What you’ll do Collaborate closely with public sector customers, including U.S. government agencies, the Department of War, and Intelligence Community organizations, to diagnose, troubleshoot, and resolve complex issues in GitLab deployments operating under strict security, compliance, and operational constraints. Perform deep, hands-on technical investigations using Linux command-line tooling and GitLab internals to analyze logs, system performance, and application behavior, often with limited telemetry or incomplete datasets. You will trace issues across infrastructure, application, and code paths to identify root causes, recommend mitigations, and drive durable fixes; frequently partnering with GitLab Product, Development, and Infrastructure teams to ensure outcomes that meet both mission and platform reliability requirements. Create and update clear, reusable documentation and support content based on real customer interactions to improve self-service and reduce repeated issues. Participate in regular pairing sessions with other Support Engineers and act as a stable counterpart to cross-functional teams to share knowledge and improve support processes. Contribute to building and refining internal support tools and workflows, including automation and troubleshooting utilities, to make diagnosing and resolving issues more efficient. Participate in weekday and weekend on-call rotations, providing timely emergency support for self-managed customers operating in restricted and compliance-focused environments. Support the growth of the team by reviewing applications and assessments, and participating in interviews and hiring decision discussions. What you’ll bring Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position Experience managing customer-facing cases across the full support lifecycle, from initial inquiry and triage through reproduction, escalation, and resolution Strong Linux systems administration knowledge, with the ability to troubleshoot performance and configuration issues in complex environments Familiarity with AI/LLM-powered developer tooling and gateway architectures (for example GitLab Duo, AI gateway configurations, or similar model-serving/proxy layers), including how they're deployed and troubleshot in self-managed or air-gapped environments Ability to use scripting languages (preferably Ruby or Bash) and work within model-view-controller frameworks (preferably Ruby on Rails) to investigate and resolve issues Practical experience with Git and continuous integration/continuous delivery (CI/CD) workflows Skill in creating and maintaining clear, accurate support content and technical documentation Ability to explain complex technical topics in a clear, empathetic way to customers and coworkers with varying technical backgrounds Familiarity with DevOps practices and container-orchestration technologies such as OpenShift and Kubernetes Understanding of common information security and compliance concepts and controls (for example DISA STIG and SELinux), and eligibility to work on United States federal customer environments as required for this role About the team At GitLab Federal, LLC, the U.S. Government Support Engineering team partners with public sector organizations and United States government agencies to support GitLab in highly secure, mission-critical environments. Our work directly enables national security outcomes, supporting customers across the Intelligence Community, Department of War, and other federal, state, and local government entities operating within regulated and restricted boundaries. We are embedded within Support Engineering and work closely with Product, Development, Infrastructure, Customer Success, and Sales to solve complex, high-impact technical challenges. Our team frequently dives into code, logs, and architectural behavior to understand not just what is failing, but why; especially in environments with sanitized data, limited visibility, and strict compliance controls such as FedRAMP. We collaborate asynchronously across time zones and through structured pairing and discussion to share knowledge, strengthen solutions, and continuously improve how GitLab supports secure, air-gapped, and regulated deployments, while upholding GitLab's standards for rigor, transparency, and technical excellence. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Poland; Czech Republic; Slovenia; Bulgaria; Latvia; Spain; Ukraine; Lithuania; Greece; Croatia; Estonia; Serbia; Armenia; Portugal; Italy; France / Paris; Malta; Türkiye; Slovakia Workplace: Remote Location: Remote, Europe Time Zone Start Date: ASAP Employment Type: Full-Time Team: Core Compute & Distributed Systems Language: English ABOUT THE ROLE We are looking for an experienced Engineering Manager to lead a team building the distributed systems that power a decentralized compute and storage platform. You will lead a team of senior engineers working on P2P networking, distributed storage, compute orchestration, and core platform services. You’ll combine people leadership with strong technical ownership, helping shape architecture, guide execution, and stay hands-on with critical systems and production code. This is a great opportunity for a technical engineering leader who enjoys working close to complex distributed systems, making pragmatic architectural decisions, and building a strong engineering culture in an async, writing-first environment. WHAT YOU’LL DO - Lead, mentor, and grow a high-performing team of distributed systems and backend engineers - Drive the technical direction and execution of core P2P, compute, and distributed platform systems - Stay hands-on with architecture, design, implementation, and technical problem-solving - Guide the development of high-throughput distributed protocols, including peer discovery, communication, replication, and data distribution - Oversee systems responsible for compute orchestration, provisioning, scaling, and workload distribution - Champion reliability, resilience, observability, and production readiness across the platform - Establish strong engineering practices around testing, CI/CD, releases, incident response, and root-cause analysis - Work closely with Infrastructure, Product, Security, and Platform teams on roadmaps, priorities, and cross-team dependencies - Run effective 1:1s, retrospectives, performance reviews, and career development conversations - Translate technical and business priorities into clear execution plans and measurable outcomes - Foster a culture of ownership, technical excellence, pragmatic decision-making, and continuous improvement WHAT WE’RE LOOKING FOR - 7+ years of software engineering experience, with 3+ years in an Engineering Manager or technical leadership role - Proven experience leading teams building and shipping distributed systems or infrastructure software to production - Strong understanding of P2P and distributed systems, such as peer discovery, DHTs, gossip protocols, NAT traversal, replication, consensus, or content-addressed systems - Strong backend and systems programming experience, ideally with Go, or alternatively C/C++ or Rust - Solid understanding of concurrency, networking, distributed communication, and fault-tolerant system design - Experience with compute orchestration, distributed storage, distributed databases, or platform infrastructure - Familiarity with technologies such as libp2p, gRPC, Protobuf, IPFS/CIDs, Kubernetes, or containerized infrastructure - Experience with observability and production operations, including tools such as Prometheus, Grafana, OpenTelemetry, or distributed tracing - Strong understanding of Linux systems and networking fundamentals - Experience establishing engineering standards around automated testing, CI/CD, release processes, and incident management - Strong technical judgment and the ability to balance hands-on engineering, people leadership, and strategic decision-making - Excellent written and verbal communication skills, with the ability to work effectively in a remote and async environment NICE TO HAVE - Experience with distributed storage, object storage, distributed filesystems, or data integrity systems - Knowledge of S3 APIs, NFS, FUSE, POSIX semantics, block storage, or storage engines - Experience with erasure coding, sharding, garbage collection, or large-scale data migration - Experience managing multi-cloud, bare-metal, or geographically distributed infrastructure - Familiarity with GPU infrastructure, distributed AI compute, model serving, or inference routing - Experience with infrastructure-as-code such as Terraform, Pulumi, or similar tools - Experience working with decentralized, blockchain, Web3, or other P2P architectures WHY THIS ROLE MATTERS - Shape a distributed platform from the core: Influence the architecture of the systems that power decentralized compute and storage - Lead a strong technical team: Mentor senior engineers and build an environment where engineers can do their best work - Stay hands-on: Continue solving complex technical problems while growing as an engineering leader - Work on genuinely distributed infrastructure: Tackle challenges around networking, replication, resilience, data distribution, and compute at scale - Influence architecture: Make meaningful technical decisions rather than simply managing delivery - Work across the platform: Collaborate with Infrastructure, Security, Product, and Backend teams - Remote-first and async: Work remotely with strong European time-zone overlap in a writing-first engineering culture HOW WE WORK We favor clear written communication, focused deep work, and pragmatic engineering over unnecessary meetings and synchronization. Our engineering culture emphasizes: - RFCs and well-documented technical decisions - High automated test coverage and rigorous production validation - Pragmatic, maintainable code - Strong observability and operational ownership - Regular production releases - Continuous improvement through retrospectives and post-incident reviews Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination or harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Проект: крупный retail Задачи: - Функциональное тестирование; - Контрактное тестирование; - Разработка и отладка автотестов для UI и API; - Поддержка работоспособности уже написанных тестов; - Ведение документации, написание скриптов, анализ требований; - Сопровождение релизов, мониторинг качества продукта; - Работа с баг-трекингом, разбор и проведение анализа результатов тестирования; - Проведение регрессионного тестирования, в том числе вручную; - Помощь в повышении эффективности тестирования, в том числе через улучшение процессов; - Обучение автоматизации текущих 2 тестировщиков (junior и middle-). Требования: - Соотношение ручного и автоматизированного тестирования 50/50; - Опыт работы от 5 лет; - Уверенное знание теории тестирования; - Уверенное знание основных практик тест-дизайна и умение применять их на практике; - Знание базовых команд Git; - Базовые знания SQL (CRUD + join); - Уверенные знания REST; - Уверенные навыки тестирования API (использование инструментов для тестирования API, особенности тестирования API); - Опыт тестирования WEB; - Понимание работы клиент-серверных приложений, умение локализовать дефект; - Умение использовать панель разработчика в Chrome (верстка, консоль, сеть); - Умение настраивать заглушки (желательно в Wiremock); - Опыт функционального, интеграционного и E2E-тестирования; - Знание и понимание CI/CD, базовый опыт использования готовых пайплайнов, умение встраивать автотесты; - Умение оценивать стандартные задачи; - Умение работать с логами (желательно Kibana/loki); - Умение работать с нереляционными БД (желательно MongoDB); - Умение работать с брокерами сообщений; - Умение составлять тест-план под конкретные цели; - Понимание особенностей тестирования в разных методологиях разработки; - Понимание особенностей тестирования в микросервисной архитектуре, навыки локализации дефектов; - Хорошие навыки выявления неявных требований; - Хорошие навыки взаимодействия со смежными командами; - Уверенные знания Java Core; - Уверенные знания Selenide/Playwright и Rest-assured (или аналогов); - Уверенные знания JUnit/TestNG/KTest или аналогов; - Понимание основных принципов ООП; - Знание основных паттернов проектирования ПО и автотестов; - Понимание работы систем сборки приложений (maven/gradle/npm); - Понимание основных принципов построения архитектуры фреймворков автоматизации; - Опыт выстраивания процессов тестирования с нуля или глобальной перестройки (будет большим плюсом).

Задачи: — Оптимизация производительности — Написание тестов — Работа с внешними сервисами и API — Использование экосистемы .NET — Взаимодействие с разработчиками, аналитиками, тестировщиками и менеджерами проектов для согласованного процесса разработки — Освоение новых версий .NET и сопутствующих библиотек — Освоение требуемых IDE, LLM, AI инструментов — Улучшение знания смежных технологий, в том числе DevOps Требования: — Высшее техническое образование — Опыт работы в команде от 3 лет — Уверенное владение C# — .NET Core 8+ — Понимание и применение SOLID — Знание протокола HTTP — Опыт разработки WEB API — Опыт работы с микросервисной архитектурой — Понимание структур данных и алгоритмов — Работа с БД через Entity Framework — Знание SQL: умение писать сложные запросы — Unit, интеграционное тестирование — Уверенное использование Git — Опыт интеграции сторонних библиотек и SDK — Опыт использования AI инструментов в разработке Будет плюсом: — Full stack — React JS — PostgreSQL — Опыт построения CI/CD — Опыт использования подхода Spec Driven Development — Инструментальное владение AI для анализа, генерации и автоматизации Условия: — Комфортный современный офис в Москве (Варшавское шоссе, 25Астр6) — График работы – офис, гибрид после испытательного срока — Ежегодный пересмотр зарплаты, годовая премия — Корпоративный спортзал и зоны отдыха — Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — Ипотека выгоднее до 7% для каждого сотрудника — Подписка Прайм с возможностью совместного использования на трёх близких — Вознаграждение за рекомендацию друзей в команду Сбера.

Location: Atlanta, Georgia; Toronto, Ontario; Athens, Georgia Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As our Vice President, Information Security, you will step up as the de facto security leader owning Docebo’s global security strategy across product, cloud, GRC, and AI. This is not an advisory tower role; you will operate at executive altitude while staying close to real architecture, engineering decisions, threat modeling, and control execution. You will drive hard, measurable risk reduction while pioneering AI-first security practices that empower our business to move fast with complete confidence. THE DAY-TO-DAY 🗓️ - Architect Global Strategy: Own and evolve Docebo’s enterprise security roadmap across product security, cloud hardening, GRC, privacy, and incident response to achieve measurable control maturity. - Embed Security by Design: Partner deeply with Product and Engineering to integrate threat modeling, secure SDLC, CI/CD security, identity controls, and vulnerability remediation into core engineering workflows. - Pioneer AI-First Security: Build robust governance and controls for AI products and internal tooling while harnessing AI to automate detection, vulnerability management, and threat response. - Champion Customer Trust: Lead compliance programs (SOC 2, ISO 27001) backed by real controls, and represent Docebo with executive credibility in board updates, audits, and enterprise customer due diligence. - Elevate Defense Operations: Strengthen security telemetry, threat intelligence, and detection across cloud and corporate environments to protect against emerging modern attack patterns. - Empower High-Impact Teams: Lead and coach a talented security team, building a high-accountability culture focused on clear outcomes, rapid execution, and continuous learning. YOUR SUPERPOWERS ⚡ - Proven Executive Leadership: Significant experience leading information security programs in a software, SaaS, or tech product environment with a track record of executive and board collaboration. - Deep Technical Foundations: Hands-on mastery of application security, cloud security (AWS), infrastructure, identity systems, secure SDLC, and modern vulnerability management. - Mandatory Certification: Active CISSP credential backed by a deep understanding of SOC 2, ISO 27001, privacy regulations, and enterprise SaaS security standards. - Collaborative Business Driver: Exceptional ability to forge trusted partnerships across Product, Engineering, Legal, and Sales, acting as an enabler who balances security with business velocity. - Outcome-Focused Execution: A clear track record of using metrics and business risk language to make decisive, risk-informed choices in complex, ambiguous environments. BONUS POINTS 🎯 - AI Security Expertise: Hands-on experience securing AI-enabled products and LLMs, or utilizing AI tools to scale security operations and automated testing. - Advanced Technical Certifications: Additional credentials such as CISM, CISA, CCSP, AWS Security Specialty, or GIAC, combined with offensive security or red teaming experience. - Enterprise & Public Sector Reach: Proven experience navigating FedRAMP standards, public-sector requirements, and high-growth global SaaS expansion. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Задачи: — Разработка AI-агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при сбоях. — Полный цикл разработки: от проектирования агентов до их оценки, развертывания и обеспечения надежности в продакшене. Требования: — Опыт разработки на Python и бекенд инженерии. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция API и событийно-ориентированные рабочие процессы. — Опыт оценки, трассировки и отладки LLM. — Навыки работы с Docker, Kubernetes, CI/CD и AWS. — Приветствуется опыт мультиагентной оркестрации, MCP, workflows с участием человека и мониторинга агентов в продакшене. Условия: — Удаленная работа. — Полная занятость или контракт.