Вакансии

Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Workato is looking for an Engineering Manager to lead the ChatBots and AI team within our Platform organization. This is a high-ownership role for someone who thrives in ambiguity: you turn unclear requirements into clear execution plans, make confident decisions with incomplete information, and keep both the team and leadership aligned. The team is fully remote and international - you'll build the processes and culture that make it work at pace. About the Team The ChatBots and AI team's mission is to deliver AI agents to end users. We own the runtime and integration layer - conversation storage, API design, streaming, and integrations with external interfaces like Slack and other applications. The team is made up of Senior and Staff engineers working in Ruby/Rails and Go on a modern stack: PostgreSQL, Kafka, Redis, Kubernetes, and AWS. You'll collaborate with dedicated QA, SRE, and UX/UI teams, as well as engineering teams across the broader organization. Workato has a strong cross-functional culture - your team won't work in isolation. What You'll Do Delivery Partner with Product Managers and stakeholders to scope projects, set timelines, and define what success looks like Plan and track execution across quarters and sprints; deliver on schedule without compromising quality Identify blockers early, resolve them decisively, and escalate when escalation is the right call Balance feature work against internal investments - AI-SDLC, CI/CD, platform upgrades, and technical debt Team Manage, mentor, and grow a team of Senior and Staff engineers Own hiring, onboarding, and performance management Design team processes that fit a distributed, asynchronous environment - and evolve them as the team and company change Apply AI tooling to how the team works, not just what it builds Technical Ownership Participate in architecture and design decisions as a technical peer to your engineers Make trade-off calls on scope, approach, and sequencing - and be accountable for them Understand the system deeply enough to allocate the team's capacity where it matters most Communication Keep leadership informed on progress, risks, and blockers with clarity and without spin Build working relationships with peer leads across engineering and product Represent your team's priorities and constraints in cross-team planning What We're Looking For 5+ years managing engineering teams, including Senior and Staff-level individual contributors Senior engineer-level technical depth - you can read the code, challenge a design, and hold your own in an architecture discussion Hands-on background in backend engineering; experience with Ruby, Go, or comparable languages and distributed systems Demonstrated ability to operate under ambiguity: defining direction where none exists, and committing to decisions before all the information is available Track record of shipping complex software on schedule in a fast-moving environment Experience managing a fully remote, distributed team across multiple time zones Strong written communication - in an async environment, writing is the primary management tool Nice to Have Experience building AI-powered products - agents, LLM pipelines, or orchestration systems Background in platform, integration, or developer-facing infrastructure Experience scaling a team through periods of rapid growth Familiarity with enterprise SaaS or automation platforms (REQ ID: 2941)

🕹 Список обязанностей: Отвечать за качество ПО на всех этапах: от разбора требований (бизнесовых, функциональных, технических) до проверки исправленных дефектов. Проектировать тестовые сценарии и проводить все виды тестирования — системное, интеграционное, функциональное и регрессионное;

Что делать Формировать и актуализировать подход к тестированию платформы: определять, какие сценарии проверяются на уровне unit, component, integration и contract тестов, а какие через E2E и нагрузочные проверки. Разрабатывать и поддерживать автоматизированные тесты на Python с pytest и на Go для сервисов Foundation Models.

Location: GB - United Kingdom Scopely is looking for a Senior Server Engineer (Performance) to join a new truly unique multiplayer strategy game in Barcelona on a hybrid basis or remotely in the UK, Ireland, Portugal, and the rest of Spain. If you're open to working in any of these locations, there's no need to apply more than once. We'll discuss location preferences during the hiring process. We can support with visa sponsorship from any location. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar. We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! What You Will Do Work in a cross-functional agile team and be responsible for designing, developing, and evolving systems that validate and improve the performance, scalability, and reliability of backend services running on AWS Design and implement performance and reliability strategies for our core backend systems, including defining service-level expectations (latency, throughput, error rates) and validating them under realistic conditions Build frameworks and tooling to simulate real-world production scenarios, including multi-service interactions, high concurrency, and network variability Develop and maintain load, stress, and endurance testing systems, integrated into CI/CD pipelines to detect regressions before production Analyze system behavior using metrics, logs, and distributed tracing , identifying bottlenecks and driving improvements across services Define and drive the adoption of a comprehensive testing strategy across backend services , including unit tests, integration tests (leveraging test containers), and clear guidelines for when and how each layer should be applied Enable a shift-left quality culture by building tooling, patterns, and best practices that allow teams to detect regressions early Collaborate with feature teams to improve system design, resilience, and scalability, acting as a force multiplier across backend engineering Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions. What We’re Looking For Highly experienced as a software engineer working on backend systems, distributed systems (operating in the Public Cloud) , or other relevant areas with a strong passion for testing and performance testing Professional experience building and operating highly available, scalable backend systems , such as MMO game servers, high-traffic services, or real-time applications Experience with Python and its ecosystem, including familiarity with asynchronous programming, concurrency, and performance considerations Solid understanding of distributed systems , including: service-to-service communication, including event driven architectures failure modes and resilience patterns stateful vs stateless architectures Experience designing and implementing highly scalable and low-latency systems, including use of Redis, DynamoDB, or similar technologies Strong understanding of API design (REST/gRPC) and ability to write efficient, low-latency code Experience working in cloud environments (AWS) and familiarity with containerized deployments (Docker) Familiarity with CI/CD pipelines, automated testing, and infrastructure automation Experience using observability tools (Datadog, logs, tracing) to analyze and debug system behavior Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity. Bonus Points Experience with load testing frameworks like K6, Locust Understanding of SRE concepts like: SLA, SLO, error budgets Experience with load testing messaging systems such as NATS; Experience with relational databases likeMySQL. Familiarity with Infrastructure-as-Code (preferred Terraform) for managing infrastructure deployment Understanding of network infrastructure and cloud networking concepts, such as VPC, Subnet, Security Groups, and Load Balancing Understanding modern observability stacks like  Kibana / Datadog to perform log querying and dashboards About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: ES - Barcelona, Spain Scopely is looking for a Senior Server Engineer (Performance) to join a new truly unique multiplayer strategy game in Barcelona on a hybrid basis or remotely in the UK, Ireland, Portugal, and the rest of Spain. If you're open to working in any of these locations, there's no need to apply more than once. We'll discuss location preferences during the hiring process. We can support with visa sponsorship from any location. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar. We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! What You Will Do Work in a cross-functional agile team and be responsible for designing, developing, and evolving systems that validate and improve the performance, scalability, and reliability of backend services running on AWS Design and implement performance and reliability strategies for our core backend systems, including defining service-level expectations (latency, throughput, error rates) and validating them under realistic conditions Build frameworks and tooling to simulate real-world production scenarios, including multi-service interactions, high concurrency, and network variability Develop and maintain load, stress, and endurance testing systems, integrated into CI/CD pipelines to detect regressions before production Analyze system behavior using metrics, logs, and distributed tracing , identifying bottlenecks and driving improvements across services Define and drive the adoption of a comprehensive testing strategy across backend services , including unit tests, integration tests (leveraging test containers), and clear guidelines for when and how each layer should be applied Enable a shift-left quality culture by building tooling, patterns, and best practices that allow teams to detect regressions early Collaborate with feature teams to improve system design, resilience, and scalability, acting as a force multiplier across backend engineering Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions. What We’re Looking For Highly experienced as a software engineer working on backend systems, distributed systems (operating in the Public Cloud) , or other relevant areas with a strong passion for testing and performance testing Professional experience building and operating highly available, scalable backend systems , such as MMO game servers, high-traffic services, or real-time applications Experience with Python and its ecosystem, including familiarity with asynchronous programming, concurrency, and performance considerations Solid understanding of distributed systems , including: service-to-service communication, including event driven architectures failure modes and resilience patterns stateful vs stateless architectures Experience designing and implementing highly scalable and low-latency systems, including use of Redis, DynamoDB, or similar technologies Strong understanding of API design (REST/gRPC) and ability to write efficient, low-latency code Experience working in cloud environments (AWS) and familiarity with containerized deployments (Docker) Familiarity with CI/CD pipelines, automated testing, and infrastructure automation Experience using observability tools (Datadog, logs, tracing) to analyze and debug system behavior Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity. Bonus Points Experience with load testing frameworks like K6, Locust Understanding of SRE concepts like: SLA, SLO, error budgets Experience with load testing messaging systems such as NATS; Experience with relational databases likeMySQL. Familiarity with Infrastructure-as-Code (preferred Terraform) for managing infrastructure deployment Understanding of network infrastructure and cloud networking concepts, such as VPC, Subnet, Security Groups, and Load Balancing Understanding modern observability stacks like  Kibana / Datadog to perform log querying and dashboards About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: IE - Ireland Scopely is looking for a Senior Server Engineer (Performance) to join a new truly unique multiplayer strategy game in Barcelona on a hybrid basis or remotely in the UK, Ireland, Portugal, and the rest of Spain. If you're open to working in any of these locations, there's no need to apply more than once. We'll discuss location preferences during the hiring process. We can support with visa sponsorship from any location. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar. We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! What You Will Do Work in a cross-functional agile team and be responsible for designing, developing, and evolving systems that validate and improve the performance, scalability, and reliability of backend services running on AWS Design and implement performance and reliability strategies for our core backend systems, including defining service-level expectations (latency, throughput, error rates) and validating them under realistic conditions Build frameworks and tooling to simulate real-world production scenarios, including multi-service interactions, high concurrency, and network variability Develop and maintain load, stress, and endurance testing systems, integrated into CI/CD pipelines to detect regressions before production Analyze system behavior using metrics, logs, and distributed tracing , identifying bottlenecks and driving improvements across services Define and drive the adoption of a comprehensive testing strategy across backend services , including unit tests, integration tests (leveraging test containers), and clear guidelines for when and how each layer should be applied Enable a shift-left quality culture by building tooling, patterns, and best practices that allow teams to detect regressions early Collaborate with feature teams to improve system design, resilience, and scalability, acting as a force multiplier across backend engineering Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions. What We’re Looking For Highly experienced as a software engineer working on backend systems, distributed systems (operating in the Public Cloud) , or other relevant areas with a strong passion for testing and performance testing Professional experience building and operating highly available, scalable backend systems , such as MMO game servers, high-traffic services, or real-time applications Experience with Python and its ecosystem, including familiarity with asynchronous programming, concurrency, and performance considerations Solid understanding of distributed systems , including: service-to-service communication, including event driven architectures failure modes and resilience patterns stateful vs stateless architectures Experience designing and implementing highly scalable and low-latency systems, including use of Redis, DynamoDB, or similar technologies Strong understanding of API design (REST/gRPC) and ability to write efficient, low-latency code Experience working in cloud environments (AWS) and familiarity with containerized deployments (Docker) Familiarity with CI/CD pipelines, automated testing, and infrastructure automation Experience using observability tools (Datadog, logs, tracing) to analyze and debug system behavior Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity. Bonus Points Experience with load testing frameworks like K6, Locust Understanding of SRE concepts like: SLA, SLO, error budgets Experience with load testing messaging systems such as NATS; Experience with relational databases likeMySQL. Familiarity with Infrastructure-as-Code (preferred Terraform) for managing infrastructure deployment Understanding of network infrastructure and cloud networking concepts, such as VPC, Subnet, Security Groups, and Load Balancing Understanding modern observability stacks like  Kibana / Datadog to perform log querying and dashboards About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

- PHP’da backend qismini ishlab chiqish va qoʻllab-quvvatlash. - REST API yaratish va integratsiya qilish.

Location: Ukraine; Moldova; Albania; Kazakhstan; Montenegro; European Union; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE At Ruby Labs we are looking for an AI Engineer (Strong Middle / Senior level) to own and drive the quality, reliability and evolution of our AI systems in production. This is a high-ownership role. You will be responsible for end-to-end delivery of AI features, production stability of AI systems, and data-driven experimentation using tools like Langfuse and Cloudflare AI gateway for model routing. Increasingly, this includes agentic, tool-using AI systems: defining clean tool contracts (including MCP-based tools) and orchestrating how AI interacts with internal services, search and background pipelines. The stack is TypeScript end to end: Node.js and Hono services on Cloudflare Workers with Durable Objects and Containers, PostgreSQL, OpenSearch. Models from several providers run behind an AI gateway, with prompts, traces and evaluations in Langfuse. KEY RESPONSIBILITIES AI Systems Ownership & Feature Delivery - Take ownership of major AI features and LLM workflows and deliver them to production within agreed timelines. - Own AI output quality, structure and predictability across user-facing AI interactions, with consistent structured output across different LLMs for the same request type. - Integrate and orchestrate multiple LLM providers through an AI gateway, managing model selection, fallback strategies and cost optimisation. - Design and orchestrate tool-using and agentic AI workflows: clean tool contracts (including MCP-based tools), function-calling interfaces and reliable AI-to-system integrations. - Build and maintain multi-step LLM workflows and RAG pipelines (indexing, embeddings, retrieval, re-ranking) for reasoning, context reuse and search. Prompt Engineering, Evaluation & Experimentation - Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic. - Own prompt management, the release of LLM experiments and Langfuse-based evaluation pipelines: test datasets, LLM-as-a-judge, output scoring. - Run A/B tests across models and prompts, analyse the results and present the data-driven impact of AI features and experiments. - Deep-debug LLM chains using Langfuse traces: identify bottlenecks, optimise for cost, latency and context-window usage, and root-cause hallucinations and logic errors. Code Quality & Production Reliability - Write clean, scalable and maintainable TypeScript across the Node.js / Cloudflare Workers stack. - Build reliable backend logic for AI systems: request and output validation, error handling, fallback flows for malformed or low-quality model responses, and reliable tool execution. - Ensure high code quality through tests (including validation and fallback paths for AI output), code reviews and clear engineering standards. - Monitor AI system metrics, quality signals, latency and release health, and resolve production issues with a documented root cause. - Document prompt designs, model and routing choices, evaluation results and architectural decisions, so others can pick up the work. QUALIFICATIONS - 4+ years of backend/fullstack software engineering experience, with production-grade TypeScript/Node.js. - 1+ year of AI/LLM systems in production with real users, not only side projects or experiments. - Daily use of AI-centred development tools (Claude Code, Cursor or similar). - Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini or similar) in production: structured output, function calling, streaming, token and cost control. - Experience with agentic AI, multi-step orchestration, tool-based workflows (function calling / tool execution) or RAG pipelines (indexing, retrieval, re-ranking). - Experience with LLM observability and evaluation tools (Langfuse, LangSmith or similar). - Experience with AI gateways and model routing (OpenRouter, Cloudflare AI Gateway or equivalent). - Solid understanding of relational databases (PostgreSQL) and caching (Redis, KV or similar). - Exceptional ownership and personal responsibility for engineering quality and delivery. NICE TO HAVE - Evaluation frameworks (LLM-as-a-judge, RAGAS) and building test datasets. - MCP (Model Context Protocol): building MCP servers/clients or designing tool contracts for AI agents. - Edge/serverless runtimes (Cloudflare Workers) and their services: KV, Durable Objects, Queues, R2, Containers. - Search engines and vector search (OpenSearch, Elasticsearch, pgvector), embeddings. - Background workflow engines (Hatchet, Temporal, Inngest) for high-volume LLM pipelines. - Browser automation and browser agents (Playwright, CDP, browser-use). - Practical fine-tuning for domain-specific tasks or strict JSON/schema compliance. - Working Python for data science, evaluation scripts, or AI tooling. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Требования: — Коммерческий опыт работы DevOps Engineer — от 4 лет; — Сильные знания Linux и системного администрирования; — Опыт эксплуатации production-систем и решения инфраструктурных проблем; — Практический опыт сопровождения Go-сервисов в production (deployment, мониторинг, troubleshooting); — Разработка на Go не требуется; — Коммерческий опыт работы с blockchain-инфраструктурой, желательно с blockchain nodes; — Опыт работы с Docker, Kubernetes, CI/CD и Infrastructure as Code; — Знание сетевых протоколов TCP/IP, DNS, HTTP/HTTPS, TLS; — Опыт настройки мониторинга и логирования (Grafana, Kibana); — Навыки Bash или Python. Будет плюсом: PostgreSQL, Redis, NATS, Vault, KMS/HSM, Helm, Terraform, Ansible, fintech. Задачи: — Поддержка production-, staging- и development-инфраструктуры; — Администрирование Kubernetes-кластеров и контейнеризированных приложений; — Развитие CI/CD и Infrastructure as Code; — Настройка мониторинга, логирования и алертинга; — Сопровождение Go-сервисов и blockchain-инфраструктуры; — Расследование production-инцидентов и устранение неисправностей; — Обеспечение отказоустойчивости, backup/restore и безопасности; — Документирование изменений и эксплуатационных процедур. Условия: — Гибридный формат работы в Минске; — Полная занятость; — Оформление напрямую в штат; — Долгосрочный проект.

Мы приглашаем тебя присоединиться к нашей команде в роли C#/.Net Разработчика Твои будущие задачи: Разработка и сопровождение backend-сервисов на .NET 8/10; Реализация новой функциональности и доработка существующей бизнес-логики;

• Поддерживать Kubernetes-кластеры (managed Kubernetes от хостера). • Управлять инфраструктурой через Terraform (Cloudflare, OpenSearch).

- развивать AI-агентов для продукта (например, Амма, amo AI и внешние агенты); - генерировать идеи и кейсы и оценивать реализацию;

Задачи: — Создавать и улучшать REST API — Работать с SQL-запросами и миграциями баз данных — Писать unit-тесты — Обнаруживать и исправлять ошибки — Участвовать в процессе Code Review — Взаимодействовать с командами Frontend, Mobile и QA Требования: — Опыт 1–3 года, минимум 1 год с C#/.NET — Знание C#, .NET, ASP.NET Core — Понимание OOP, LINQ, async/await — Опыт работы с REST API и HTTP — Знание MySQL или PostgreSQL, SQL — Опыт с EF Core и/или Dapper — Знание принципов SOLID — Навыки unit-тестирования (xUnit/NUnit) — Базовые знания Git и Docker Условия: — Работа над современными fintech проектами — Поддержка ментора и команды — Уроки английского языка — Компенсация образовательных расходов — Медицинская страховка — Профессиональный и карьерный рост Дополнительные преимущества: Опыт с DDD, CQRS, Kafka, RabbitMQ, Redis, Kubernetes, CI/CD, Grafana и Sentry.

Требования: — Опыт backend-разработки не менее 3 лет, из которых минимум 2 года с использованием Python. — Практический опыт работы с FastAPI, Django или Flask в production-среде. — Знание принципов ООП и паттернов проектирования SOLID, DRY, KISS. — Опыт работы с PostgreSQL, включая индексы, транзакции, JOIN, оптимизацию запросов и использование EXPLAIN. — Навыки работы с Redis, а также с очередями и фоновыми задачами, такими как Celery, RQ, RabbitMQ или Kafka. Формат работы: удалённо из Минска, Беларусь с гибким графиком.

Location: Москва Наша команда занимается развитием платформы данных в блоке «Люди и Культура». Создаваемые нами Data-продукты являются основой для комплексной HR-аналитики, углубленных исследований по человеческим ресурсам и создания эффективных ML-моделей. Они помогают принимать осознанные решения на основе реальных данных. Мы ищем сильного Python разработчика для развития BI/ETL инструментов и реализации интерфейсов доступа к данным. Первый этап отбора на эту вакансию — общение с AI- рекрутером. После отклика вам на почту придёт приглашение пройти первичное интервью с ГиаРекрутером. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГиаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным! Обязанности * написание бэкенд сервиса по оценке качества агентов и MCP Пульс (FastAPI) * поддержка текущего функционала, реализация необходимых расширений и интеграций * участие в разработке архитектуры программного продукта * участие в настройке CI/CD * взаимодействие со смежными командами (DE, DevOps, QA, SRE). Требования * опыт коммерческой разработки на Python от 5 лет * глубокое понимание asyncio, multithreading, multiprocessing для создания высокопроизводительных приложений * продвинутые знания SQL: сложные JOIN, CTE, оконные функции, оптимизация запросов (EXPLAIN), работа с подзапросами * понимание алгоритмов и структур данных для решения нетривиальных задач * опыт работы с Git, Docker, Kubernetes, nginx, OAuth/OpenID * практический опыт работы с Redis (кэширование, брокер) и ClickHouse (или другими колоночными СУБД) * опыт работы с очередями сообщений: Kafka и/или Celery * практический опыт с инструментами ML/DS: LangChain/LlamaIndex, LLM, MLflow, pandas. Будет плюсом: * опыт с langfuse, phoenix или другими средствами визуализации трассировки агентов * Опыт создания MCP серверов/MCP клиентов * Опыт работы с tool calling * опыт создания дашбордов для мониторинга в Grafana * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Условия * гибридный формат работы. Кутузовский проспект 32 к.1 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — разработка бэкенда AI-функций, включая чат, стриминг ответов, retrieval и Deep Research — работа с API LLM-провайдеров (OpenAI, Anthropic, Gemini): управление параллельными вызовами, лимитами, кешированием prompt и контролем стоимости — разработка контрактов между фронтендом и бэкендом — ревью AI-сгенерированных pull request и поиск дефектов за зелёными тестами — при необходимости исправление фронтенда на React и TypeScript Требования: — минимум 3 года коммерческого опыта бэкенд-разработки, включая работу с LLM-сервисами в продакшене — опыт с Python, asyncio, FastAPI, Pydantic v2, стриминг через SSE — знание API OpenAI, Anthropic, Gemini: использование инструментов, структурированный вывод, кеширование prompt, управление лимитами — опыт работы с PostgreSQL и Redis — навыки работы с React и TypeScript на уровне самостоятельного исправления кода — английский язык на уровне B1 и выше Будет плюсом: — опыт с RAG и векторными базами данных — работа с очередями (Celery, arq) — знакомство с Langfuse или OpenTelemetry — опыт работы с Docker — опыт с evals Условия: — выход на работу на следующий день после собеседования — удалённая работа, полный рабочий день — участие в опционной программе

Задачи: — Обеспечивать стабильный и предсказуемый релизный процесс на всех этапах жизненного цикла разработки — от проектирования и обсуждения до поддержки и эксплуатации. — Сопровождать и развивать CI/CD-процессы команды разработки, включая сложные многостадийные пайплайны и интеграции с внешними системами и сервисами. — Эксплуатировать и развивать Kubernetes-инфраструктуру: устанавливать и сопровождать сторонние продукты, включая базы данных, аналитические системы и интеграционные API. — Поддерживать развернутые бизнес-приложения в production-окружениях. — Консультировать команды по конфигурации и эксплуатации сервисов в Kubernetes. — Разрабатывать и развивать подходы к стандартизации Kubernetes-компонентов с использованием Helm и CUE, направленные на унификацию конфигураций в целевых окружениях. — Выполнять работы по обновлению, миграции и изменению конфигураций баз данных и других инфраструктурных компонентов. Требования: — Опыт работы DevOps Engineer от 5 лет. — Глубокий практический опыт построения CI/CD-процессов с GitLab CI: проектирование сложных пайплайнов, уверенная работа с git, понимание моделей ветвления, workflow, best practices, внутренних механизмов и директив CI/CD. — Опыт работы с container tooling, включая Docker, Kaniko и BuildKit, для сборки и доставки образов. — Практический опыт GitOps-подхода с использованием Argo CD или аналогичных инструментов. — Уверенный и недавний практический опыт работы с Kubernetes хотя бы в одной из сред stage, pre-production или production, включая реальные эксплуатационные сценарии. — Опыт разработки Helm charts: написание собственных чартов различной сложности, использование шаблонизации и встроенных функций, адаптация и кастомизация готовых решений. — Опыт администрирования и эксплуатации инфраструктурных сервисов: MySQL, PostgreSQL, Redis, Kafka, ClickHouse, MongoDB и Vault. — Готовность осваивать новые технологии и инструменты в рамках задач команды. Условия: — Полная занятость, график 5/2. — Формат работы: удалённо, гибрид или офис.

📋Что предстоит делать: • реализовывать новые игровые механики и развивать существующие; • создавать универсальные игровые сервисы;