Вакансии

Location: Canada; United States Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS TEAM? Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere's foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North. You will build the platform that runs training, evaluation, and reinforcement-learning workloads: job lifecycle, scheduling, workload networking, and the storage those jobs depend on. The role includes a compensated 24x7 on-call rotation. WHAT YOU WILL DO - Own the platform that schedules and runs training, evaluation, and reinforcement-learning jobs on Kubernetes: who gets capacity, what happens when a job fails, and how a researcher finds out whether the platform caused it. - Build the networking and runtime isolation those workloads need, including agent and sandbox environments. - Work with the data infrastructure team on storage for checkpoints and other training artifacts. - Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it. - Build automation, infrastructure-as-code, and observability so the platform stays maintainable. We hire at more than one level. We set level based on the scope you've owned and how independently you drive work. YOU MAY BE A GOOD FIT IF YOU HAVE - Run a job platform, batch system, or Kubernetes controllers in production. Scheduling, queues, and multi-tenant fairness are central to this work. - Shown distributed systems judgment: retries, partial failure, and knowing what not to automate. - Worked on ML training workflows, RL sandboxes, container networking (CNI), or checkpoint storage at scale. Direct GPU-cluster experience is a plus. - Written software in Python or Go. You would rather extend a solid open-source project than rebuild it. - Worked with researchers, ML engineers, or another team whose goals were not identical to yours. - Found a bottleneck, proposed a fix, and driven it in a fast-moving environment. If this does not line up exactly with your experience, we still encourage you to apply. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Paris 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. ABOUT THE JOB As a Applied AI, Frontier Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who has shipped agentic or GenAI systems to production. You've felt the pain of agents that work in the demo and fall apart on real tasks: tool calls that fail silently, loops that never end, and quality that drifts after launch. That production depth is your edge. You build across the stack, and you'd rather ship a plain UI on a solid foundation than a polished UI on a fragile one. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. You help set the standard for how the team builds agents that are reliable, observable, and safe to run against sensitive systems. Security is a big part of where we're heading. If you're drawn to it, that's a strong plus. You might come from security with a real interest in AI engineering, or from AI engineering with a real interest in security. Both paths fit. Curiosity about how systems break, and a habit of learning fast from the people who know the domain, matter. Experience at a security company counts too. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the agent architecture: orchestration, tool use, memory, retrieval, and the interfaces between agents and the systems they act on. - Build across the stack, from backend services and APIs to the interfaces people use to work with agents. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build security into agents from day one: permissions, sandboxing, prompt-injection defenses, and audit trails for agents that touch sensitive systems. - Build the evaluation loop: task-level evals, tracing, and checks that catch agent failures and quality drift before customers do. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have 5+ years building production software, with at least one agentic or GenAI system shipped to production that you ran after launch. - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have hands-on depth in agent design: orchestration, tool use, retrieval, evaluation, and the ways agents fail in the real world. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments and are obsessed with time to value - You have product judgment: you learn what users need through customer-facing teams, cut scope hard, and care how the result feels to use. IDEALLY YOU HAVE - Open-source contributions, particularly in agents or LLMs. - Experience deploying and running what you build: Docker, Kubernetes, Terraform, and AWS, GCP, or Azure. - A security background in application, cloud, or AI security, such as prompt injection, securing agents, or supply chain (SBOM, SLSA). If that's you, flag it in your application. - Experience building for security workflows, such as alert triage, threat hunting, or investigation agents, or with SIEM, XDR, or SOAR tooling. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. 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.

Задачи: - Проектировать и разрабатывать интеграционные системы на базе микросервисной архитектуры - Внедрять новые технологии, инструменты и методы разработки - Взаимодействовать с командой, поиск и решение проблем - Участвовать в брейнштормах Требования: - Опыт разработки Backend приложений (Python 3.>) от 5 лет - Уверенное владение базовыми архитектурными паттернами - Понимание асинхронной парадигмы программирования - Желание придерживаться культуры разработки и Best practices (SOLID, KISS, DRY, etc.) - Желание следовать Coding Style Guide, PEP8 и типизации данных - Практические навыки работы с платформами контейнеризации приложений - Опыт построения архитектур сложных систем - Умение оценивать сложность задачи - Умение декомпозировать задачи - Опыт работы с инструментами командной разработки: Git, Jira, Confluence - Опыт работы с Linux (Bash) - Знание и умение работать с одним из брокеров сообщений (RedHat JBOSS AMQ\ ActiveMQ Artemis, IBM WebSphere MQ, Apache Kafka, etc) - Опыт работы с реляционными базами данных (Oracle, PostgreSQL, MySQL, etc.) Будет плюсом: - Навык владения любой системой оркестрации контейнеров (Kubernetes, Deckhouse) - Понимание и опыт работы с DDD/Event driven архитектурой - Опыт работы с потоковой обработкой данных Apache Kafka Streams - Опыт работы с Prometheus Grafana, ELK, HashiCorp Vault, Keycloak - Опыт разработки интеграционных решений - Понимание асинхронной парадигмы программирования Условия: - Современный стек технологий, микросервисная архитектура приложений - Работа в гибкой методологии разработки - Возможность работать как в офисе, так и в гибридном формате, и удаленном формате - Поездки на конференции и тренинги за счет компании, внутренние семинары, внутренние митапы - Новая техника для комфортной работы - Сессии профессионального развития 2 раза в год с планом индивидуального развития и обратной связью - Корпоративная культура со своими ценностями и традициями

• От 4 лет коммерческой разработки, из них не менее 2 лет на Go. • Go: HTTP и gRPC API, конкурентность, тестирование.

– Опыт работы Python-разработчиком от 4 лет (Flask или FastAPI).

Мы ищем DevOps Team Lead — того, кто возьмёт на себя инфраструктурную команду и будет отвечать за её результат: чтобы задачи доходили до конца, сервисы оставались надёжными. Чем предстоит заниматься: Вести технический бэклог : собирать запросы от продукта и разработки, техдолг и проблемы инфраструктуры, определять приоритеты и ожидаемый результат задач.

Location: Seattle; Canada; New York; California Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS TEAM? Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere's foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North. You will run the shared Kubernetes fleets those workloads land on: multi-cloud GPU and TPU clusters, node health, performance, and the partnership with cloud providers and hardware vendors. The role includes a compensated 24x7 on-call rotation. WHAT YOU WILL DO - Deploy and operate GPU Kubernetes clusters across clouds, and bring up new hardware generations and providers. - Work with cloud providers and hardware partners on reliability, performance, and cost, including RDMA and high-speed interconnects. - Automate node, GPU, and fabric fault detection and remediation so most faults are fixed without a human. - Improve fleet utilization, track cost, and cut the time it takes to get a faulty node back into service. - Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it. We hire at more than one level. We set level based on the scope you've owned and how independently you drive work. YOU MAY BE A GOOD FIT IF YOU HAVE - Run GPU Kubernetes clusters with thousands of GPUs for ML or HPC workloads. - Debugged Linux, networking, and performance problems. Familiarity with RDMA, NCCL, or accelerator health is a plus. - Written software in Python or Go. You would rather extend a solid open-source project than rebuild it. - Worked with researchers, ML engineers, or another team whose goals were not identical to yours. - Found a bottleneck, proposed a fix, and driven it in a fast-moving environment. If this does not line up exactly with your experience, we still encourage you to apply. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Go Developer Senior Crypto IT Вакансии Разработка и поддержка backend-сервисов на Go, развитие микросервисной архитектуры и работа с базами данных для компании Omega Solutions.

🕹 Список обязанностей: — Развитие Kubernetes-инфраструктуры и управление контейнеризированными приложениями. — Автоматизация инфраструктуры с Terraform и Ansible.

DevOps Engineer IT Вакансии Создание, обслуживание и оптимизация инфраструктуры для высоконагруженных приложений в компании «Технологии Доверия». Работа с облаком Hetzner и Terraform.

Нам нужен инженер, который возьмёт на себя техническое развитие этого направления: самостоятельный специалист, способный разворачивать кластеры с нуля, строить систему миграции и устранять сложные аварии. -Развёртывание новых кластеров OpenStack с нуля в разных локациях (Kolla / Kolla-Ansible) и их поддержка.

Location: Remote - Europe Time Zones; Portugal; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We’re looking for a Senior Backend Engineer (Python) who will join our team. What will you do: - Design and build backend services in Python (FastAPI) - Implement async job execution and status tracking (Redis/Celery/Kafka) - Integrate with LLM services (internal & external) - Build and maintain external MCP servers that expose our platform to third-party AI agents and clients - Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage - Ensure stability, observability, and cost-efficient inference About you: - 5+ years Python backend experience - Strong FastAPI experience - Solid PostgreSQL + S3 (or equivalents) - Experience with async task queues (Celery, Redis, Kafka) - Production experience integrating with microservices: long-running jobs, retries, failure handling - Solid hands-on experience with agentic AI: building MCP servers, implementing agents, and working with various LLMs and other generative models - Genuine enthusiasm for agentic AI and keeping up with how the field evolves - Basic observability skills (logging, monitoring, alerting) - Experience in cross-functional teams (frontend, ML) - Experience with AWS infrastructure, Docker, Kubernetes It would be great if you have: - Familiarity with LangChain or agentic workflows - Marketing technology background (ad platforms, creative tools) - Experience with StarRocks (or other OLAP databases, ex. Clickhouse)   WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Проектирование и разработка: участие в проектировании, реализации и поддержке микросервисов на Go. Вы не просто выполняете задачи, а предлагаете архитектурные решения.

BASIS — разработчик программных продуктов для оказания облачных услуг и платформы динамической инфраструктуры. Компания BASIS занимается поставкой и интеграцией решений виртуализации крупнейшим государственным и коммерческим заказчикам. Мы занимаем активную позицию в вопросе замещения импортных решений нашими. Обязанности: Проведение полного цикла работ по тестированию на проникновение веб-приложений, виртуальной и сетевой инфраструктуры; Подготовка детализированных отчетов с описанием векторов атак, эксплуатируемых уязвимостей, PoC-кода и практических рекомендаций по устранению; Анализ и адаптация готовых эксплойтов, написание Proof-of-Concept (PoC) для подтверждения наличия уязвимостей; Анализ уязвимостей на уровне оркестрации: RBAC, PodSecurityPolicy, сетевые политики, безопасность etcd; Автоматизация задач по настройке стендов (Bash/Python для инициализации БД, создания пользователей, настройки фейковых данных). Требования: Знание сетевых протоколов, протоколов СХД, принципов построения инфраструктуры и основ Kubernetes (Pod, Service, Ingress); Знание основных видов инфраструктурных уязвимостей, принципов атак и методов защиты; Опыт работы с инструментами безопасности (Nmap, Burp Suite, Metasploit, nuclei, ZAP, trivy, docker-benchmark, kube-bench); Уверенное владение Linux, умение писать скрипты на Python/Bash; Опыт самостоятельного развертывания стендов и их анализа (проверка сетевой доступности, корректности конфигураций); Понимание, как работает Kubernetes (k8s) на уровне, достаточном, чтобы развернуть тестовый кластер и выявить типовые уязвимости конфигурации. Будет плюсом: Владение инструментами DevOps; Умение доступно объяснить техническую проблему разработчикам или менеджменту; Участие на площадках по CTF; Заведение issue на продукты; Написание тематических статей. Условия: Трудоустройство согласно ТК РФ; Конкурентная заработная плата по итогам собеседования; Премии каждый квартал; График работы 5/2 пн-пт, гибкое начало дня; Социальный пакет (ДМС, оплата мобильной связи).

Location: Bangalore Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? ABOUT THE ROLE Join the Vertical Solutions team and build UiPath's most ambitious product - an AI agentic orchestration platform that's been recognized as our Invention of the Year for two consecutive years. As a Senior Software Engineer, you'll be at the forefront of our Act 2 strategy, building the infrastructure that allows enterprises to seamlessly orchestrate AI agents, robots, and human-in-the-loop workflows to achieve critical business outcomes. You'll be working with Lax and the Maestro backend team to build the core orchestration engine that powers enterprise AI automation. This is a high-visibility, high-impact role on UiPath's biggest strategic bet. What You'll Do - Build and Scale: Design, develop, and maintain full stack for Vertical Solutions products leveraging AI Coding Assistants. - Hands-On Development: Write production-quality code daily, leveraging AI tools (Claude, GitHub Copilot, etc.) to enhance your development workflow - Prototype and Ship: Take ideas from Prototype to validate with real customers and turn the ones that prove value into production systems. - Measure what matters: Design evaluations, measure quality against real customer data, and understand when metrics mislead. Our systems are often non-deterministic. Responsible shipping means measuring honestly, not chasing vanity numbers. - Customer-Centric Engineering: Deeply understand who will use the features you build and why they need them, translating customer needs into elegant technical solutions - Ensure Reliability: Contribute to building highly scalable, reliable distributed systems that enterprises depend on. What We're Looking For: - Builder mindset — you enjoy turning ideas into working systems and taking ownership from Concept through, Customer impact and Production - Strong full stack knowledge including frontend systems like React and backend systems -Python and/or C# — most Vertical Solutions product development is Python (agents, APIs, ETL), while core platform work includes C#, frontend in React. Willingness to work across both is important. - Experience building production AI systems — LLMs, tool-calling, multi-agent architectures, orchestration frameworks (LangGraph, LangChain, or equivalent), structured outputs, orchestration, and evaluation of model behavior in real-world workflows - Distributed systems experience — designing resilient systems with idempotency, replay ability, state management, and long-running jobs - Strong analytical thinking — able to reason quantitatively about system quality and make sound decisions using imperfect signals - Comfortable with ambiguity and rapid prototyping — able to move from idea to proof-of-concept quickly and iterate based on customer feedback. - Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus. What You'll Bring to the Team - Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience. - 7+ years of software engineering experience, with 4+ years focused on distributed systems and backend architecture. - Strong proficiency in one or more system-level languages – Javascript / C# / Java etc - Full-stack experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts). - Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms. - Experience with React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution. - Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models. - Hands-on experience with cloud ecosystems: Azure, AWS, or GCP. - Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent. - Hands-on experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and a demonstrated ability to integrate these into daily engineering workflows. - Experience driving team adoption of AI-powered productivity tools – setting norms, measuring impact, and iterating on usage patterns. - Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code. - Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables. - Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels. Nice to Have - Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus. - Data science and evaluation - Experience with applied ML techniques such as classification, anomaly detection, ranking, or predictive modeling - Experience evaluating AI systems using experimentation, metrics, and empirical analysis to improve quality and reliability - Data and retrieval systems - Experience with large-scale data platforms (Snowflake, columnar warehouses, denormalized data models) - Familiarity with retrieval-heavy architectures, RAG systems, or citation-grounded AI workflows - Engineering for trustworthy AI - Experience blending deterministic and probabilistic systems (rules engines + AI) - Experience designing eval-driven systems, regression testing for LLM outputs, or human-in-the-loop review workflows - Platform and product development · Frontend familiarity (React, TypeScript) · Workflow orchestration platforms (Temporal, Airflow, Maestro, BPMN, Step Functions) · Kubernetes and distributed infrastructure · Experience in startups, applied research, or 0→1 product environments · Open-source contributions How We Work Vertical Solutions operates like an internal startup inside UiPath: small teams, fast iteration, and real customers in the loop. We build quickly, test ideas with users, and turn the best ones into products. Some ideas won’t make it — that’s expected. You’ll work in short cycles, demo frequently, and adapt as we learn. We care more about solving the right problem than protecting a plan that no longer fits. If you enjoy ambiguity, rapid feedback, and building where product boundaries move fast, you’ll likely thrive here. Why Join Us - Work on cutting-edge AI technology that's shaping the future of enterprise automation - Be part of a team building Times top 100 Invention of the Year (2 years running) - Collaborate with talented engineers who value rapid iteration and customer impact - Contribute to UiPath's Act 2 strategy - our most important product initiative. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

▶️Управление инженерным пулом: руководить командой инженеров внедрения, нанимать инженеров совместно с HR, проводить онбординг новых сотрудников, распределять инженеров по проектам в соответствии с коммерческими приоритетами, специализацией и загрузкой, систематизировать процесс управления ресурсами.

Организация пайплайнов потоков данных (конвейера движения данных в компании); Разработка, поддержка и оптимизация производительности Корпоративного Хранилища Данных (EDWH);

Location: London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview Fanatics Betting & Gaming (FBG) is seeking a Senior Platform Engineer to join our Platform Engineering team. This role will sit in either our Runtime/Compute or the Developer Experience/CICD squad. As a Senior Platform Engineer, you will work across cloud infrastructure, Kubernetes platforms, CI/CD systems, and internal developer tooling. You will work closely with Product Engineering, Security, Infrastructure IT, and other platform teams to build, enhance, and support our developer platform. You will help define standards and best practices, and act as a force multiplier for engineering teams by improving reliability, scalability, and developer productivity. What You’ll Do Own and deliver medium-to-large platform projects from implementation through    production Build and maintain internal platform services and tooling that improve developer experience and delivery velocity Partner with application teams to unblock delivery and align platform capabilities with developer needs Drive cloud cost efficiency and optimization across our cloud and infrastructure Improve operational excellence through observability, automation, and incident response Help evolve CI/CD pipelines and GitOps-based workflows Mentor junior engineers through code reviews and knowledge sharing Participate in on-call rotations and incident response What You Bring 5–7 years of experience in platform, infrastructure, DevOps, or software engineering Proficiency with Python and Java. Familiarity with Kotlin, Go a plus Deep Kubernetes and container orchestration knowledge Proven CI/CD and GitOps experience Infrastructure as Code expertise (Terraform) Strong AWS and cloud-native experience Experience operating distributed, high-availability systems Strong ownership mindset and ability to deliver defined projects independently Clear communication and strong collaboration skills Nice to Have Experience with internal developer platforms or tooling Exposure to regulated or high-availability environments Backend development experience (Java, Python, Go, or similar) Familiarity with observability and reliability engineering practices Why Platform Engineering at FBG Platform Engineering at FBG operates with a product-first mindset. Our mission is to empower developers with reliable, scalable, and intuitive platforms that accelerate innovation and delivery. Working Across Regions This role operates in a globally distributed environment, working closely with teams across the UK, Ireland, and the United States. Strong communication, time zone coordination, and shared ownership are essential for success. Travel Expectations Periodic travel to the United States is expected for offsites, planning sessions, and collaboration. Occasional travel within the UK and Ireland may also be required. Not sure if you check every box? We believe great engineers come from all kinds of backgrounds. We value impact, technical leadership, and a growth mindset just as much as specific tool experience. Unfortunately, we do not offer sponsorship and you do need to be living in the UK or Ireland to apply. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .