Вакансии

Знание Python и основ машинного и глубокого обучения (ML/DL). Понимание NLP и LLM, принципов дообучения моделей (Fine-tuning), построения RAG-систем и семантического поиска.

- Опыт работы: от 5 лет. - Уверенное владение возможностями и средствами разработки на платформе 1С;

‼️ Qo`shimcha: Neonline ai jamoasiga ai va machine learning sohasiga qiziqadigan, boshlang‘ich bilimga ega va real ai loyihalar ustida ishlab, amaliy tajriba orttirishni istaydigan machine learning engineer intern stajyorlarni taklif qilamiz. talabla r: python, git bilan ishlash, va machine learning haqida boshlang‘ich tushunchaga ega bo‘lish.

You will own systems and the technical decisions inside them. What you’ll own.

Участие в разработке и сопровождении внутренней платформы сборки продукта. Разработка инструментов автоматизации и внутренних сервисов на Python.

Что предстоит делать: писать интеграции AI-агентов с корпоративными системами; допиливать внутренние сервисы: авторизация, логирование, личные кабинеты, дашборды;

Разработка дашбордов и алертов, включая рефакторинг и оптимизацию.

Bitdeer is looking for Technical Writers to document its managed Kubernetes platform, including APIs, SDKs, CLI tools, Terraform guides, onboarding, and release notes.

Bitdeer is looking for Technical Writers to own developer documentation, API references, onboarding guides, release notes, and docs-as-code workflows for its MaaS platform.

In this role, you will own automated test suite development and maintenance across Oracle ERP Cloud (Fusion) and Salesforce, with a focus on Tosca-based regression and progression testing. Run Oracle ERP Cloud and Salesforce QA automation suites for all quarterly patch upgrades end-to-end.

Руководить командой ML-инженеров; Участвовать в найме и развитии команды;

— Вносить изменения в исходники Chromium и Blink на C++. — Работать с браузерным отпечатком: Navigator, Canvas, WebGL, Audio, шрифты, WebRTC, язык и часовой пояс.

Location: Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary We are seeking a Sr SDE – CI/CD & Developer Productivity Engineering to strengthen engineering delivery pipelines, code quality automation, and developer workflows across the Reltio platform. This is a hands-on engineering role focused on Bitbucket, Jenkins, and Argo CD; consistent SonarQube quality and security checks in CI and local development; and reliable Codecov-based code coverage reporting and governance. The engineer will improve pipeline speed, stability, maintainability, and the clarity of quality gates across teams. The ideal candidate has 6–9 years of software engineering, build/release engineering, DevOps, or developer tooling experience and can collaborate with development, QE, DevOps, and security teams in a Kubernetes-based, multi-cloud environment (AWS, Azure, GCP). Job Duties and Responsibilities CI/CD Pipeline Engineering Design, implement, troubleshoot, and optimize CI/CD workflows using Bitbucket, Jenkins, and Argo CD. Improve pull-request validation, build performance, deployment reliability, pipeline observability, and failure triage. Build reusable pipeline templates, shared libraries, and automation to standardize engineering workflows across repositories. Support GitOps-based Kubernetes deployments, environment configuration, release promotion, and safe rollback practices. Implement secure management of pipeline credentials, permissions, and service integrations. SonarQube Integration & Code Quality Integrate SonarQube analysis and quality gates into Bitbucket pull requests and Jenkins pipelines, including branch and PR reporting. Enable and document developer-local analysis workflows, including scanners, IDE integration, and parity with CI checks. Maintain quality profiles, rule configurations, exclusions, and quality-gate policies in collaboration with engineering and security. Troubleshoot analysis failures, false positives, coverage ingestion, and performance bottlenecks; help teams remediate findings. Ensure policy exceptions follow approved review and audit processes. Codecov & Coverage Engineering Integrate Codecov with automated test pipelines and pull-request workflows across relevant repositories. Configure coverage upload, report aggregation, status checks, thresholds, and meaningful coverage-delta reporting. Improve reliability and accuracy of coverage data across unit and integration tests, languages, and parallel CI jobs. Define practical coverage governance and help teams interpret coverage gaps without treating coverage percentage as a substitute for test quality. Engineering Enablement & Collaboration Create dashboards and reporting for build health, pipeline duration, quality-gate outcomes, and coverage trends. Partner with QE, development, DevOps, and security teams to drive adoption, resolve issues, and document standards. Automate repetitive maintenance and support self-service troubleshooting for developers. Skills You Must Have Professional Experience 5–9 years of relevant software engineering, DevOps, build/release engineering, or developer tooling experience. Hands-on experience owning or significantly improving CI/CD pipelines used by multiple engineering teams. Experience supporting distributed microservices and containerized workloads. Technical Skills Strong hands-on knowledge of Bitbucket Git workflows, pull requests, webhooks, and repository permissions. Strong Jenkins experience: declarative pipelines, shared libraries, agents, parallel execution, credentials, and troubleshooting. Practical Argo CD and GitOps experience with Kubernetes deployments, synchronization, drift detection, and rollback. Hands-on SonarQube administration/integration: scanners, quality gates, quality profiles, PR decoration, and local developer analysis. Experience integrating Codecov or equivalent coverage reporting with CI, including coverage artifacts, status checks, and coverage thresholds. Scripting or programming proficiency in Python, Bash, Java, or Groovy; ability to debug build and test tooling. Working knowledge of Kubernetes, Docker/container builds, Linux, networking, secrets management, and cloud environments (AWS, Azure, GCP). Understanding of secure SDLC, access control, code quality metrics, and CI/CD security practices. Skills That Are Nice to Have Experience with Java/Maven/Gradle-based repositories and multi-module builds. Experience with SonarQube security rules, Snyk, or other SAST/SCA tools. Experience tuning large-scale Jenkins infrastructure and optimizing test parallelism or caching. Experience with Terraform, Helm, Prometheus/Grafana, and deployment observability. Experience defining developer productivity metrics and enabling self-service engineering platforms. Strong documentation, collaboration, and cross-team technical communication skills. What Success Looks Like in This Role CI/CD pipelines are faster, more reliable, and easier for engineers to diagnose and maintain. SonarQube checks are consistently enforced in CI and reproducible through supported local developer workflows. Codecov reporting is accurate, actionable, and integrated into pull-request quality decisions. Teams have reusable pipeline standards, clear documentation, and reduced manual effort. Quality and security gates provide trustworthy signals without unnecessary delivery friction. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

- Инженерное или профильное техническое образование. - Уверенное владение Python, понимание алгоритмов и цифровых систем.

Location: Москва Мы — команда Platform V Works, часть облачной цифровой платформы Сбера для разработки бизнес-приложений. Разрабатываем высокотехнологичные IT-продукты и обеспечиваем импортонезависимость в области ПО. Мы создаем новую коллаборативную платформу для работы команды разработки. Это интуитивно понятный и удобный сервис, который помогает управлять командами, эффективно организовывать задачи, обмениваться информацией и совместно работать над проектами. Перед тобой не просто вакансия. Перед тобой отличная возможность сделать этот мир технологичнее и лучше. Мы - первая команда СберТех, которая тиражирует свой продукт в формате SaaS. **Ищем сотрудника на декретную ставку.** Обязанности ### Чем предстоит заниматься: * развивать и поддерживать высоко-нагруженный сервис с плагинной/микрофронтовой архитектурой, используя Feature-Sliced Design методологию * участвовать в определении направления развития архитектуры сервиса и выборе технологий * проектировать и разрабатывать публичные API сервиса и механизмы интеграции сторонних сервисов * создавать интерфейсы и сервисные утилиты на node js * повышать надежность и качество сервиса на всех уровнях, оптимизировать производительность (в том числе на уровне nginx), разрабатывать инструменты мониторинга * обеспечивать тестовое покрытие (юнит, интеграционное, апи, e2e) * участвовать в ретроспективах инцидентов на проде и предпринимать меры по решению внештатных ситуаций * принимать участие в планировании спринтов, оценке и деĸомпозиции задач, проводить арх- и код-review решений коллег, предоставлять аргументированную критику. **Из числа не-рутинных:** * обеспечить доступность интерфейса для всех категорий пользователей на множестве платформ, браузеров и их версий * реализовать конструктор диаграмм и WYSIWYG редактор с возможностью совместного редактирования * развивать собственную библиотеку UI компонентов на базе токенов. Требования ### Наши ожидания: * уверенное владение JavaScript, TypeScript, React, CSS, HTML5 (от 3-х лет), понимание принципов работы Nginx, знание основных библиотек, структур данных и шаблонов проектирования * cпособность создавать кроссбраузерный адаптивный производительный пользовательский интерфейс по макетам и/или ux/ui-гайдам * знание технологий и методик проведения модульного тестирования, опыт использования инструментов тестирования Jest, CodeceptJS/Playwright * навыки работы с bash, git (модель GitFlow), nodejs, webpack, yarn, npm, lerna, docker * опыт работы в продуктовой команде по гибким (Agile) методологиям * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. **Будет преимуществом:** * знакомство с Apollo GraphQL, WebSocket, Effector, Axios * опыт построения микрофронтенд приложений с использованием Webpack Module Federation * опыт администрирования/разработки для/интеграции с Jira/Confluence/Bitbucket, использования scripting engine внутри разрабатываемых систем * опыт настройки сборочных скриптов и CI/CD * опыт написания storybook для компонентов * опыт профилирования приложений - поиск утечек памяти и bottleneck. Условия ### Мы предлагаем: * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа * статус аккредитованной ИТ-компании со всеми преимуществами * льготная ипотека для сотрудников, подписка Прайм с возможностью шеринга (совместного использования) на трёх близких, скидки от партнеров и сервисов группы компаний * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис с видом на набережную, зонами отдыха и спортзалом * 90 дней удаленной работы из любого региона РФ * реферальная программа (бонус до 100 000 рублей).

What you will do Own 0-to-1 development of Customer Care conversational systems, including chat, voice and phone support, knowledge bases, and tool integrations. Shape bot architecture with engineers, including agents, routing, tools, internal-system actions, and handoff flows.

Развивать серверную часть финтех-продуктов: платёжную платформу с QR-оплатой и кешбэком и сервис онлайн-медиации для заёмщиков и кредиторов. Писать платёжную логику: оплаты, возвраты, начисление бонусов, взаиморасчёты с бизнесом.

Location: Poland; Armenia; Azerbaijan; Georgia; Serbia; Estonia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Python Team Lead to join our dynamic team on a full-time basis. About the Client Our client is an international provider of intellectual property services and technology solutions, helping businesses protect and manage innovations through patent translation, international filing, patent research, and renewal services. About the Project The project focuses on replacing complex, labour-intensive backend business processes with Python-based automation and LLM-powered solutions. You will join as the first engineer and Team Lead of a growing contractor team, establishing the technical foundations and helping shape how the team works and delivers. You will collaborate closely with an AI & Automation Product Manager with experience at Meta, turning business challenges into practical solutions. This is a hands-on leadership role requiring strong Python expertise, excellent communication skills, and the confidence to take ownership of problems from discovery through production. Responsibilities Lead the technical delivery of automation initiatives, taking responsibility for solution quality and delivery outcomes. Work closely with the Product Manager and business stakeholders to understand existing workflows, clarify requirements, and define priorities. Translate complex business problems into actionable technical plans and clearly scoped tasks. Design and develop Python services, automated workflows, and integrations with existing systems and APIs. Apply LLM capabilities where they provide measurable value, with appropriate validation and human review. Establish engineering standards, development practices, and a collaborative team culture. Guide and mentor engineers, delegate responsibilities, and provide constructive feedback and code reviews as the team grows. Proactively identify risks, resolve blockers, and communicate progress and trade-offs clearly. Lead technical discussions, handle disagreements constructively, and help stakeholders reach informed decisions. Ensure solutions include appropriate testing, monitoring, error handling, and production support. Requirements Strong commercial experience building and maintaining production systems with Python. Proven experience leading an engineering team while remaining actively involved in technical design and development. Excellent interpersonal and communication skills, including active listening, constructive feedback, and effective conflict resolution. Strong ownership: the ability to independently drive problems from initial investigation to a working production solution. Experience collaborating directly with Product Managers and business stakeholders, translating business goals into technical delivery. Ability to organise team workloads, delegate effectively, support engineers, and maintain accountability for commitments. Experience delivering backend automation, system integrations, or solutions that replace manual business processes. Practical experience integrating LLMs into applications or automated workflows. Strong backend engineering fundamentals, including APIs, databases, data processing, and reliable error handling. Experience with automated testing, Git, and production deployment practices. Ability to work effectively with evolving requirements, make pragmatic decisions, and explain technical trade-offs. Strong spoken and written English, sufficient to lead discussions, clarify complex requirements, and confidently challenge assumptions. Nice to Have Experience building a new engineering team or establishing delivery processes from scratch. Experience interviewing and onboarding engineers. Experience with document processing, information extraction, or document-heavy workflows. Experience evaluating LLM outputs for accuracy, reliability, latency, and cost. Experience with workflow orchestration, background jobs, and asynchronous processing.