Вакансии

Разрабатывать и поддерживать REST API для мобильного приложения и веб-платформы. Работать с базами данных, обработкой и анализом информации.

-Лидировать разработку продуктов и сервисов цифровой экосистемы. -Формировать и развивать архитектуру экосистемы.

• От 7 лет опыта в Python. • Сильный бэкграунд в Data Engineering, построении масштабируемых data pipelines и архитектуре ПО.

📌 Разработка инструментов для агентов и интеграций с корпоративными системами (1С, почта, файловые ресурсы). 📌 Обработка документов: договоры, счета, таблицы.

Location: Москва Аврора (Маэстро) — центральный оркестратор AI-агентов департамента безопасности. Продукт предоставляет сотруднику единую точку входа для взаимодействия со всеми доступными AI-агентами департамента: запросы приходят из фронта и СберЧата, а «Аврора» маршрутизирует их профильным агентам, обеспечивая целостный пользовательский опыт. Обязанности * разработка и внедрение core-логики AI-агента в production * проектирование и реализация backend-сервисов на Python * интеграция с LLM, инструментами разработки (CI/CD, репозитории, тестовые фреймворки) * интеграция с внешними системами и сервисами через Kafka, REST API, gRPC, WS и другие протоколы * построение архитектуры автономных AI-систем * разработка механизмов планирования, оркестрации и выполнения задач агентом * оптимизация производительности и надежности системы * участие в принятии архитектурных решений * подготовка релизов моделей и агентов, включая документацию, демонстрационные материалы и защиту решений перед банковскими регуляторами * сотрудничество с бизнес-заказчиками, архитекторами и продуктовыми командами. Требования * оконченное высшее образование * 4+ лет коммерческого опыта разработки на Python * опыт разработки AI-агентов или multi-agent систем * опыт работы с AI/ML или LLM (OpenAI API, open-source модели, prompt engineering) * знание современных подходов к автономным системам и планированию задач * уверенное знание backend-разработки (API, микросервисы, асинхронность) * понимание PDLC/SDLC процессов и инструментов разработки (Git, CI/CD, тестирование) * навыки работы с Docker/Kubernetes * умение писать чистый, поддерживаемый код. Будет плюсом * работа с кодогенерацией, анализом кода и автоматическим рефакторингом * работа с code analysis / static analysis инструментами * опыт в DevOps или platform engineering * опыт проектирования сложных систем и архитектур * опыт работы в финтехе или высоконагруженных системах. Условия * инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти * среда для обмена знаниями – высокая экспертиза внутри команды; * сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать * нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам * стабильная заработная плата и годовой бонус * полностью офисный формат работы. Современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Тестирование frontend и backend для доступа к финансовым сервисам и продуктам, написание и поддержка автотестов, разработка и поддержка тестовой модели, готовность работать на BDD подходе с Gherkin.

Location: Москва ГигаПульс — react-агент помощника сотрудника, который интегрируется с корпоративным harness. Помощник автоматизирует рутинные операции и помогает сотрудникам в повседневной работе. Команда занимается созданием react-ядра агента. Обязанности * разработка бэкенда на Python в рамках проекта ГигаПульс * проектирование и реализация архитектурных решений * создание прототипов для пилотирования и тестирования * участие в архитектурных и рабочих группах * документирование разработанных решений * проведение code review и наставничество для младших сотрудников Требования * опыт разработки бэкенда на Python * опыт работы с ML/AI технологиями * опыт работы с Docker и Kubernetes * знание SQL * опыт проектирования архитектурных решений * опыт разработки высоконагруженных приложений Условия * формат работы: гибрид, пара дней в офисе (Москва, ул. Вавилова, д. 19) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * льготная ипотека для каждого сотрудника * бесплатная подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера. * корпоративная пенсионная программа * отсутствие строгого дресс-кода. *

- Тестирование frontend и backend; - Написание и поддержка автотестов;

Location: Kazakhstan; Thailand; Vietnam; Serbia; Georgia; Uzbekistan We are looking for a Python Developer to join a team that develops an internal analytics platform and builds AI solutions to automate the work of analysts and data engineers. You will work on backend services and analytics tools, integrate LLMs into existing products, and gradually take part in developing AI agents. This role is not only about AI development. It also includes regular backend tasks and working with frontend features. What You Will Do Develop and improve Python backend services for the internal analytics platform. Build features for analytics tools, admin interfaces, and services for data engineers. Integrate LLMs with databases, APIs, and analytics interfaces. Take part in developing AI agents for data analysis, generating SQL from natural language requests (Text2SQL), and automating routine tasks. Work on frontend features using React. Design APIs and integrations, take part in architecture discussions, and help choose technical solutions. Adapt open-source solutions to the platform's needs, write tests, and take part in code reviews. Requirements More than 3 years of commercial experience in Python backend development. Experience with React or a willingness to learn it quickly. Experience building backend services, APIs, and integrations between systems. Knowledge of SQL and experience with relational databases, such as PostgreSQL. Understanding of application architecture, design principles, and common development patterns. Interest in LLMs and AI agents, understanding of the basic principles behind language models, and willingness to use them to solve practical problems. Active use of AI tools in development and the ability to critically evaluate their results. Ability to work independently, take a structured approach to solving problems, and learn existing codebases and new technologies. Nice to Have Experience integrating LLMs through APIs or using AI frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen. Familiarity with vector databases such as pgvector, ChromaDB, or Qdrant. Experience with analytical databases and data warehouses such as ClickHouse, Greenplum, or Vertica. Familiarity with S3-compatible object storage, such as Ozone S3. Experience building admin interfaces, internal tools, BI solutions, or analytics dashboards. Experience with Docker, CI/CD, and service monitoring tools. Experience adapting and extending open-source solutions. English Proficiency: сonversational English at B1 level or above. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: emergingtravel.com/career/hr-policy

разработка бэкенда на Python в рамках проекта ГигаПульс.

Location: Rio de Janeiro or São Paulo, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading global digital banking platform and one of the largest neobanks in Latin America, headquartered in Brazil. The company provides a mobile-first suite of financial services—including credit cards, savings accounts, and investments—designed to eliminate bureaucracy and high fees. By leveraging advanced data analytics and a customer-centric digital infrastructure, the organization delivers transparent and accessible financial solutions to millions of users across Brazil, Mexico, and Colombia. What You’ll Do Design, implement, and maintain cloud infrastructure using Infrastructure as Code Support the platform architecture across private networking, containers, edge and CDN services, managed storage, IAM, and security boundaries Develop and maintain CI/CD pipelines, including federated identity, access controls, and separation between read and write operations Implement platform observability, monitoring, alerting, and operational dashboards Establish secrets-management and rotation processes Develop disaster-recovery, resilience, and business-continuity capabilities Build and maintain serverless functions and infrastructure automation using Python Establish security guardrails and operational standards for a multi-tenant development platform Collaborate with AI engineering teams to integrate agent capabilities and automated deployment workflows Support ephemeral cloud environments used for AI-powered application development Improve production readiness through documented, reviewable, and reversible infrastructure changes Troubleshoot complex platform issues and conduct root-cause analysis Take end-to-end ownership of platform stability, reliability, and operational performance Identify opportunities to reduce deployment friction and improve the developer experience Contribute to the continuous improvement of platform architecture, tooling, security, and operations What You Bring Experience designing, implementing, and operating cloud-native infrastructure within a public cloud environment Hands-on experience using Infrastructure as Code in production environments Experience with Go or Go-based infrastructure tooling Understanding of cloud networking, private networks, firewalls, containers, edge and CDN services, managed storage, and IAM Experience building and maintaining CI/CD pipelines, preferably using GitHub Actions Knowledge of federated identity, authorization policies, least-privilege access, and secrets management Experience implementing observability, monitoring, alerting, and disaster-recovery strategies Proficiency in Python for infrastructure automation, serverless functions, or supporting services Experience supporting multi-environment architectures and production-grade platforms Understanding of platform security, resilience, scalability, and operational reliability Strong troubleshooting and root-cause analysis skills Strong written communication and technical documentation skills Professional English proficiency Ability to work effectively in ambiguous environments, make sound technical decisions, and take ownership of outcomes Nice to have Experience operating multi-tenant platforms for internal enterprise users Knowledge of cloud-security guardrails and software supply-chain security Experience with on-call operations, incident management, and production reliability Familiarity with AI-powered development platforms Exposure to agent-based engineering and deployment workflows Experience designing infrastructure to reduce blast radius and isolate failures Knowledge of controlled deployment, rollback, and change-management practices Experience supporting developer platforms or internal platform-engineering products English level Upper-Intermediate Work Type: Remote Location Requirement: Candidates must be based in São Paulo or Rio de Janeiro Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

— Разрабатывать и поддерживать ботов и скрипты на Python; — Анализировать технические задачи и выполнять их в срок;

• Разработка и поддержка backend-сервисов на Python; • Работа с очередями/брокерами: Kafka, RabbitMQ, Redis Streams, Celery;

• Тестирование frontend и backend для доступа к финансовым сервисам и продуктам. • Написание и поддержка автотестов.

• Разработка backend-сервисов и REST API на FastAPI. • Интеграция и работа с LLM.

Ability to build libraries and frameworks of reusable efficient code. Competence in designing and implementing low-latency, stable and performing applications.

-Анализ бизнес-требований и участие в планировании доработок. -Написание и поддержка автоматизированных тестов на Python (pytest) для бэкенд-сервисов.

Location: Belgrade, Serbia Workplace: remote Novakid is an online English school for kids. The Visitor Squad owns the funnel from first visit to paid lesson: landing pages, registration and booking, blog, and the visitor's personal account. We track two key metrics, visitor → lead and visitor → booking, and test almost everything we ship through experiments. This is a backend-first role: about 70% backend (Python, some Node.js ) and 30% frontend (React/TypeScript). You'll own the server side of the funnel: APIs behind registration, booking and the visitor account, attribution, and server-side integrations with ad platforms. When a feature needs frontend work, you'll take it end-to-end yourself. You'll work within the squad's processes: planning, grooming, code review, sprints and releases. Key Responsibilities Design, build and maintain Python services and APIs behind the funnel: registration, booking and the visitor account Build and own server-side integrations with ad platforms (Meta CAPI, TikTok Events API and similar): event delivery, deduplication, retries and monitoring Own attribution on the backend: end-to-end visit tracking, UTM persistence, and diagnosing gaps in V2L/V2B data Keep services fast and reliable: caching, query optimization, debugging server-side rendering in our Node.js/Express layer Investigate production incidents through Sentry and see them through to resolution Support A/B testing on the server side: feature flags, rollouts, and cleanup after experiments Ship frontend changes in React/TypeScript when a feature needs it Requirements 5+ years of production backend development in Python, including services you designed, shipped and supported in production yourself Strong backend fundamentals: API design, relational databases and SQL, caching, background jobs, and integrating third-party APIs (auth, rate limits, retries, idempotency) Production debugging experience: logs, error tracking, finding the root cause of an issue Node.js : comfortable reading and changing an Express service Working frontend skills: enough TypeScript and React to deliver a feature end-to-end. Expert level not required. An understanding of how tracking data travels from click to report, and the ability to find where it gets lost Product mindset: you work with metrics and hypotheses, not just tickets Fluent English Nice to Have Server-side conversion tracking (CAPI, Events API, server-side GTM) BigQuery: checking your own hypotheses with data CDN and edge caching (CloudFront or similar) GDPR and consent mechanisms E2E testing with Playwright or Cypress Our Tech Stack Python, Node.js , Express (SSR), TypeScript, React, Next.js , Sentry, GrowthBook, BigQuery. What we offer Fully remote work A chance to shape the future of AI-driven education A fun, dynamic team that loves building innovative products Unlimited holidays, because we trust you to deliver