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Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Our ML and analytics teams already work on fraud detection and risk analysis. This role owns the backend that turns their signals into reliable protections across accounts, credits, payments, and generation. You'll integrate risk checks into product flows, build enforcement services and operator tools, and make sure controls work correctly in production. We're looking for an engineer we can trust to take a backend problem from an unclear starting point to a working solution. What you'll actually do - Risk integrations: connect existing ML scores and risk signals to account creation, credit usage, payments, and generation flows, with clear timeouts and fallback behavior. - Enforcement services: implement configurable rules, rate limits, account restrictions, and credit or payment controls with consistent behavior across services. - Operator tooling: build APIs and workflows for reviewing cases, inspecting decision history, and safely applying or reversing restrictions. - Production reliability: handle retries, duplicate events, concurrent requests, and safe rollouts; add monitoring and audit trails so failures can be traced and fixed. - Work in other teams’ codebases to add signals or interventions without hurting their stability or architecture. - Ownership: clarify the control with ML, analytics, and operations → scope the smallest useful implementation → ship → verify production behavior and review impact with the team. Our release cycle is days, not quarters, so your first shipped protection happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable backend services: APIs, data models, queues, transactions, idempotency, and concurrency. You can integrate external services and debug failures across the request and event lifecycle. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You work with ML, analytics, and operations to turn risk requirements into clear backend behavior. You use operator feedback and customer cases to improve controls and learn unfamiliar systems quickly. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer problems where requirements stay stable after launch. - You prefer work centered on training models or producing analysis rather than building and operating backend services. Nice to have - Fraud prevention, payments risk, or platform abuse experience. - Integrating risk-scoring services or building rules engines and rate limiters. - Case management, appeals, and risk operations tooling. - Familiarity with Stripe. - Experience building real-time scoring, graph-based account linkage systems. - Python/Go experience. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: take an existing risk signal and an operator need, scope a backend protection, and work through failure cases and effects on legitimate customers. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of protections that preserve both company revenue and customer trust.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users. What you'll actually do - Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation. - Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions. - Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces. - Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions. - Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost. - Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer deterministic application behavior without investigating model uncertainty. - You prefer prototyping without owning evaluation, recovery, and production reliability. Nice to have - Production agents, workflow engines, or developer tools. - High-throughput systems with heavy traffic, large data volumes, or many long-running jobs. - Agent context management, memory, subagents, or parallel tool calls. - Sandboxed execution and scoped authorization. - Multimodal workflows involving images, video, or audio. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production. What you'll actually do - Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows. - Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature. - Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort. - Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability. - Define success metrics, build dashboards and alerts, and track adoption and system health after launch. Must-haves 1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes. 2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging. 3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results. 4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces. 5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits. 6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments. 7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you. 8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work. 9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours. Our tech stack - Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend). - Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse. - Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers. - AWS: S3, DynamoDB, ECR, and Secrets Manager. - Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions. - Observability: Prometheus, Grafana, OpenTelemetry, and Sentry. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.

Требования: Опыт проектирования и разработки сложных backend-систем и понимание полного жизненного цикла продукта — от идеи и архитектуры до эксплуатации и поддержки. Глубокое понимание архитектуры отказоустойчивых и масштабируемых сервисов.

Ищем бэкенд-разработчика со стеком Go + PHP для разработки высоконагруженных сервисов бэкофиса и аналитики в микросервисной архитектуре.

• Практический опыт с NestJS и Fastify.

В качестве старшего бэкенд разработчика в Zentist ваша работа напрямую влияет на развитие бизнеса. Каждый ваш коммитмент, направленный на автоматизацию ручных процессов, экономит много часов и долларов специалистам в стоматологических клиниках, отвечающих за процесс оплаты лечения через страховые компании.

• Глубокое знание C# и .NET. • Опыт проектирования архитектуры, разработки REST API и микросервисов.

Location: New York; Charlotte; Atlanta; Washington D.C.; Boston Workplace: Remote WHY BACKEND ENGINEERING AT LANGFUSE Your work will have an outsized impact. Langfuse ingests terabytes of AI tracing data per day. When a Fortune 50 company instruments their application with Langfuse, they hit the infrastructure you built. Everything you ship is open source and immediately visible. The core of your role is making Langfuse fast and affordable at scale: owning the ingestion pipeline, optimizing ClickHouse data models and queries so dashboards load instantly, and building the backend abstractions that let product engineers ship data-heavy features without reinventing the plumbing each time. You will also make sure Langfuse runs everywhere. You’ll operate Langfuse Cloud across multiple production environments, and make self-hosting effortless. You will support a single Docker Compose setup to enterprise-grade Helm chart deployment.   You won’t be solving these problems alone. Langfuse is now part of ClickHouse, which means the people who built the database you’re optimizing are one channel away. Few backend roles give you that kind of access to the internals of your core datastore.   YOU WILL GROW AT LANGFUSE BY - Own and optimize our ingestion pipeline: Langfuse ingests massive volumes of tracing data through a pipeline that flows from our API to ClickHouse. You'll work on throughput, latency, reliability, and cost efficiency at every stage of this pipeline. - Make ClickHouse fast: our tracing data lives in ClickHouse. You'll design schemas, optimize merge strategies, tune batch inserts, write and review analytical queries that power dashboards and the UI. You'll become an expert on ClickHouse internals — and you'll have the ClickHouse database engineering team one channel away. - Build new infrastructure-heavy features: things like LLM-as-a-Judge (where we post-process large volumes of ingested data asynchronously), alerting at scale, client-code execution, or batch dataset operations. Build the foundation and, if you like, dip your toes into the frontend for those. - Test with real data in production: when evaluating a new ClickHouse schema, migration, or query optimization, you'll run load tests against production data to validate that changes actually improve things. We don't guess at performance. We prototype new table designs, run them in parallel on real traffic, and compare before committing. - Scale for what's next: we're growing fast and new product directions like complex long-running agent observability and real-time evaluation push the infrastructure in new ways. You'll be thinking ahead about what breaks at 10x scale.   LEARN MORE ABOUT OUR INFRASTRUCTURE - From Zero to Scale: Langfuse's Infrastructure Evolution https://langfuse.com/blog/2024-12-langfuse-v3-infrastructure-evolution — deep dive into how we went from Postgres to ClickHouse - Max talking infrastructure at ClickHouse OpenHouse Amsterdam https://www.youtube.com/watch?v=NXYQ5odATrM — recording of our CTO walking through the architecture - Architecture https://langfuse.com/handbook/product-engineering/architecture   WHAT WE'RE LOOKING FOR - Strong backend engineer who gets excited about database internals, query optimization, and distributed systems - You get excited when working with a ton of data - Experience with analytical databases, data pipelines, or high-throughput event processing. ClickHouse experience is a big plus but not required - You organize yourself. You have strong opinions about what to build and how to ship it - Comfortable reading and writing TypeScript (our backend) and SQL - Interest in open source software and genuine enjoyment talking to users about their scaling challenges - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred   Bonus points:   - Experience with ClickHouse, other OLAP databases, or observability infrastructure - Former founder - Background in building data-intensive systems at scale   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Занятость: full-time 🖥 Формат Limassol 🕹 Работодатель 🕹 Список обязанностей: — Использовать AI для создания функций на бэкенде, вебе, Android и iOS. 🕹 Требования к кандидату: — 5+ лет опыта разработки программного обеспечения, предпочтительно в бэкенде.

💎 Писать производительные микросервисы на Go для платформы премиального такси, переводить сервисы с Ruby-монолита, держать системы отзывчивыми под высокой нагрузкой.

• Опыт в роли Tech Lead или Senior/Staff Backend Engineer с ответственностью за сложные системы. • Глубокое знание архитектуры ПО, принципов проектирования, микросервисов и clean architecture.

Location: Baku Workplace: onsite ABOUT YOU You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Build and ship reliable, secure and scalable backend services in Go. Own features from design to deployment, with attention to maintainability, security and performance. Design and build APIs and SDKs used by Business Account frontends, microfrontends and other Xsolla teams. Build and maintain identity flows such as user creation, login, MFA, SSO and token validation across multiple accounts and clients. Design multi-tenant services with clear data isolation and per-account configuration. Take part in architecture discussions and write or review ADRs. Refactor legacy code to improve structure and efficiency without breaking existing features. Own production readiness with Datadog: dashboards, monitors and alerts, APM and tracing, log analysis, incident response and root cause analysis. Write clear, testable, well-documented code, with a focus on quality and automation. Use AI tools (Claude Code, Cursor, etc.) every day to design, build, test and refactor code faster without lowering quality. Add AI-assisted code review on top of manual review, check AI-generated code carefully, and help the team set good practices for AI-driven development. Work with product, frontend, design and platform teams to agree on goals and deliver end to end. Contribute to technical scoping and estimation. Reduce technical debt and keep improving the developer experience. Mentor engineers and give constructive code reviews. Requirements 6+ years of professional software engineering experience. 2+ years of hands-on Go experience in production. Strong experience with PostgreSQL and/or MySQL, including schema design and query performance. Experience designing and building REST APIs (gRPC is a plus). Hands-on experience with Docker, Kubernetes and Helm. Experience with message brokers such as RabbitMQ or Kafka. Comfortable with Git and CI/CD pipelines (GitLab preferred). Solid understanding of authentication and authorization basics: OAuth2, JWT, sessions and tokens. Hands-on experience with observability tools, ideally Datadog: metrics, logs, APM/traces and alerting. Hands-on experience using AI coding assistants in daily work, and the judgment to review, test and correct what they produce. Basic understanding of cloud platforms (Google Cloud Platform preferred). Working knowledge of frontend technologies, especially React. Good written and spoken English, with the ability to explain technical trade-offs to non-technical stakeholders. Nice to have Experience building scalable, secure login or identity platforms (Login-as-a-Service). Deep knowledge of OAuth2, OIDC, SAML, MFA, and session and token management. Experience with social login, SSO and federated identity. Experience designing multi-tenant identity systems with isolation and configurability. Experience delivering developer-friendly APIs, SDKs and integration docs. Experience with OpenTelemetry, SLOs and error budgets. Experience with B2B platforms, partner portals or marketplaces. Experience setting up AI workflows for a team, such as agents, custom skills or prompts, automated MR review, or AI-assisted testing. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Москва AI HUB SberWorks — это флагманское направление по созданию мультиагентной среды. Мы разрабатываем платформу, где AI агенты автономно решают задачи разработки, аналитики, тестирования и развертывания. Мы ищем инженера, который не просто пишет код, а погружается в контекст применения сервисов, предлагая лучшие архитектурные решения. Обязанности * Проектирование и разработка высоконагруженных backend-сервисов на Python (FastAPI/AsyncIO). * Участие в создании и развитии инфраструктуры для мультиагентных систем (оркестрация, обмен сообщениями, интеграция с LLM). * Проектирование API (REST/gRPC) и интеграция с внутренними и внешними сервисами. * Обеспечение качества кода: написание unit/integration-тестов, участие в код-ревью. * Оптимизация производительности и отказоустойчивости сервисов. * Активное взаимодействие с продуктом и инженерами смежных команд для трансформации требований в технические решения. Требования * Уверенное знание Python 3.x и опыт коммерческой разработки от 3 лет. * Опыт работы с современными веб-фреймворками (FastAPI, Django, aiohttp). * Глубокое понимание принципов асинхронного программирования. * Опыт работы с реляционными (PostgreSQL) и нереляционными (Redis, MongoDB) базами данных. * Опыт работы с брокерами сообщений (Kafka, RabbitMQ). * Понимание микросервисной архитектуры и паттернов распределенных систем. * Опыт работы с Docker и Kubernetes. Приветствуется (Будет плюсом): * Активное использование AI-инструментов в повседневной работе (Copilot, Cursor, ChatGPT/Claude для код-ревью и генерации тестов). * Опыт разработки агентов (LangChain, LangGraph, AutoGen) или интеграции LLM в продукты. * Наработанные промпт-инженерные навыки для решения рутинных задач. Мы ценим: * Готовность к высокому темпу разработки и быстрой итеративности. * Глубокое погружение в бизнес-логику: мы ждем, что вы понимаете, _зачем_ пользователю нужен ваш сервис. Условия * комфортный современный офис рядом с м. Тульская * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты и 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 * 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: — Руководить технической разработкой Tangem Express, агрегатора криптобирж, интегрированного в Tangem Wallet. — Отвечать за архитектуру бэкенда, качество кода, технические решения и улучшение масштабируемости. — Проектировать и поддерживать интеграции с более чем 12 внешними провайдерами криптобирж. — Повышать доступность, надежность, производительность и отказоустойчивость платформы. — Расследовать инциденты в продакшене, включая сбои провайдеров, и решать сложные технические проблемы. — Руководить командой из четырех бэкенд-инженеров, включая планирование, приоритизацию, код-ревью и стандарты инженерии. Требования: — Опыт коммерческой разработки бэкенда с Node.js и TypeScript. — Предыдущий опыт в роли Tech Lead или Senior/Staff Backend Engineer с ответственностью за сложные системы. — Глубокие знания архитектуры ПО, принципов проектирования, микросервисов и чистой архитектуры. — Опыт работы с криптосистемами или платформами обработки транзакций, включая криптосвопы, биржи или криптосервисы. — Опыт интеграции сторонних API с обработкой сбоев, таймаутов, повторных попыток и восстановления ошибок. — Сильные навыки PostgreSQL и SQL, опыт работы с высоконагруженными системами, знание безопасности приложений, опыт устранения проблем в продакшене, опыт юнит- и E2E-тестирования. Плюсом будет: — Опыт работы с криптовалютными биржами, агрегаторами свопов или криптокошельками. — Понимание криптосвопов, маршрутизации бирж и поставщиков ликвидности. — Опыт интеграции API централизованных или децентрализованных бирж (CEX/DEX). Условия: — Удаленная работа из любой точки мира с графиком, согласованным по GMT+3. — Неограниченный отпуск и оплачиваемые больничные. — Компенсация необходимых технических устройств. — Возможность участвовать в развитии компании в блокчейн-секторе. — Подарки на день рождения.

Задачи: — Разработка, тестирование и деплой смарт-контрактов на Rust: свопы, пулы ликвидности, расчёты и комиссии — Разработка бэкенд-сервисов на Node.js (TypeScript) и Python: API биржи, обработка транзакций, интеграции — Интеграция с криптокошельками: подключение, подпись транзакций, работа с RPC-нодами — Индексация и обработка ончейн-событий, синхронизация данных с базой — Точные расчёты цен, комиссий и балансов (BigInt / decimal) — Обеспечение безопасности контрактов и сервисов: тесты, ревью кода, подготовка к аудиту — Мониторинг транзакций и работы сервисов, разбор инцидентов — Участие в код-ревью и архитектурных решениях Требования: — 3+ года коммерческой разработки, из них 1+ год в Web3 / блокчейне — Опыт написания и деплоя смарт-контрактов на Rust (Solana / Anchor, CosmWasm, NEAR или аналоги) — Уверенный Node.js (TypeScript) и Python на бэкенде — Понимание устройства DEX: AMM, пулы ликвидности, свопы, проскальзывание, ценовые оракулы — Опыт работы с криптокошельками: подпись транзакций, управление ключами, wallet-адаптеры — Знание типичных уязвимостей смарт-контрактов (reentrancy, проверки доступа, манипуляции ценой) Будет плюсом: — Solidity и опыт с EVM-сетями — Опыт прохождения аудитов смарт-контрактов — Опыт в DeFi-проектах с реальным TVL — Кросс-чейн мосты — Опыт в финтехе или на криптобиржах (CEX) — Docker, CI/CD

Задачи: — Определять архитектуру платформы — Руководить модернизацией облачной инфраструктуры — Повышать устойчивость сервисов биржи Требования: — Опыт работы с распределёнными системами и системами с высокой отказоустойчивостью — Знание и опыт работы с DynamoDB, Kubernetes, ECS, EC2, Docker, AWS, Aurora — Навыки технического лидерства и управления архитектурными решениями Условия: — Гибридный формат работы в Лондоне

Задачи: — вести инициативы по backend платформе — разрабатывать общие инструменты — улучшать надежность системы