Вакансии

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production. Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout. Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations. Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost. Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit. Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks. Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team. Skills We’re Looking For 5+ years building and operating production software, with a passion for solving complex engineering problems Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes) Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar) Experience with code reviews, testing, and troubleshooting, and with being on-call Clear written and verbal communication, including writing design docs and working with cross-functional partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg) Experience with notification or messaging platforms (email, in-app, webhooks) Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience working on SaaS platforms at scale #LI-IM1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Mexico; Philippines; Brazil; Chile; Serbia; Latvia About Paired Paired is a global staffing and recruiting agency that specializes in pairing remote work with top-tier talent! We are dedicated to connecting talented individuals with remarkable companies in need of their skills. Our goal is to create fulfilling job opportunities for professionals around the world. Our Client AI powered ecommerce agency. They have worked with 500+ DTC and ecommerce brands, managed $250M+ in media spend and delivered $2B+ in client revenue. They run paid social, paid search, email/SMS, CTV, TikTok Shop, Amazon, UGC and CRO for a portfolio of DTC brands. Their team is lean and works in pods. Each pod has a pod lead who owns strategy and client relationships, a media buyer who owns execution and performance, content managers, and creative support. They use AI throughout our workflow, from account audits to landing page builds to creative reporting, so one strong media buyer can do the work of three. This is a fast environment. If you are ambitious and hard-working, it will move your career faster than most agencies can. If you need a lot of structure or prefer a slow pace, it is not the right fit. The Role You will be the media buyer in one of our pods, managing Meta campaigns (with TikTok as a secondary channel) across a portfolio of ecommerce accounts. You own the ad accounts: budgets, pacing, structure, launches, testing and optimization. Your pod lead owns the client relationship and overall strategy. You own the numbers and the execution behind them. The role combines hands-on buying with media buying strategy. You will analyze performance data, find where accounts are leaking (pre-click or post-click), and propose the fix: new creative angles, landing page tests, budget shifts or structure changes. You will also join client calls and present paid social performance alongside your pod lead. What Success Looks Like Every account is paced to its monthly budget, with no overspend and no surprises Spend moves to the highest-leverage products and campaigns, and comes off losers quickly No ads run on sold-out products, broken links or outdated offers Accounts are never starved of creative: you flag gaps early and get new assets live fast Landing page and creative tests launch on schedule and produce clear winners Your pod lead walks into every client call with accurate numbers and a clear plan from you Seasonal moments (Prime Day, BFCM, brand sales) launch on time with approved assets What You’ll Do Campaign Management Build, launch and optimize Meta campaigns daily, with secondary management of TikTok Ads Own daily budgets and monthly pacing per account, and reallocate spend based on performance, frequency and inventory Manage campaign structure, bidding, audiences, exclusions and frequency controls Upload and traffic new creative, and run structured creative and angle testing Run weekly account sweeps: check every live ad for stock availability, link destination, offer accuracy and copy errors, and fix issues the same day Monitor ROAS, NC-ROAS, MER, CAC and frequency against client targets Strategy and Analysis Diagnose performance by separating pre-click problems (creative, audience, fatigue) from post-click problems (landing page, offer, site) Look past platform ROAS to backend profitability: margins, COGS and blended results Build landing page test plans and work with our team to get new pages designed, approved and live Audit ad copy and creative across accounts and recommend what to refresh, cut or scale Plan and execute seasonal campaigns, including Prime Day, BFCM and client sales Spot and escalate tracking issues (pixel, CAPI, attribution discrepancies) before they distort decisions Creative Collaboration Work with content managers, designers and the creative team to source, brief and review ad creative Identify winning hooks, formats and angles, and turn them into creative requests Push for authentic assets (real people, raw clips, UGC) that improve performance Reporting and Client Communication Prepare performance reports and creative performance reports for client calls Join client calls with your pod lead and present paid social results, trends and next steps clearly Keep internal Slack channels and Jira tickets updated so everyone knows what changed and why AI and Process Use AI tools (Claude and others) daily to run account audits, generate landing page concepts, draft copy and build reports Help turn repeated work into reusable AI workflows that make the whole pod faster Requirements Must have 3+ years of hands-on Meta Ads experience for ecommerce brands (not lead gen or boosted posts), with at least one account at $100K+/month i n spend A proven record of scaling US DTC ecommerce brands through Meta , at an US agency or in-house Deep understanding of Meta campaign structure, auction dynamics, pixel/CAPI tracking and creative performance Strong command of ecommerce metrics: ROAS, NC-ROAS, MER, CAC, LTV, contribution margin Precision with budget s: you pace spend to the dollar and catch problems before the client does Strong ownership: you act without waiting to be told, and you close the loop on every task Clear, confident communication, written and on calls Comfort using AI tools in your daily workflow, and curiosity about using them more Humility to do the detailed work and ambition to grow into a strategist English C1-C2 fluency for conversation level since this is a client-facing role Nice to Have TikTok Ads Manager experience Triple Whale, Northbeam or other attribution tools Working knowledge of Shopify and Klaviyo, and how paid and retention channels work together Experience building or testing landing pages Background in creative strategy, UGC or performance creative Experience with Jira or similar task management tools Benefits What You’ll Get Fully remote work; USD payment up to 6k/month Direct ownership of your ad accounts and the results they produce Training on AI-powered media buying workflows most agencies do not have yet Access to Triple Whale, Meta Ads Manager, Klaviyo, Claude and more A clear growth path from media buyer to media buying strategist as the agency grows Hiring Process Short video pre-screen: a few questions so we can see how you communicate on camera Intro interview with our team Paid media assessment: a practical exercise based on a real client scenario Final conversation with agency leadership

Develop and maintain backend services with C# and .NET. Develop and maintain frontend logic with Angular and Redux.

Location: Москва Workplace: Гибридный О компании CVM B2B - inhouse-инструмент кампейнинга, адаптированный под бизнес-процессы Телеком B2B, для развития процессов маркетинга, продаж и поддержки. И сейчас мы приглашаем к себе Ведущего (Senior) разработчика Java! Обязанности Разрабатывать backend сервисы; Писать Unit тесты; Проводить анализ результатов нагрузочного тестирования; Создавать дашборды для мониторинга разрабатываемых систем; Участвовать в техническом развитии и масштабировании продукта; Искать утечки приложения; Оптимизировать код приложения; Проводить code-review. Требования Умение работать со стеком: Java REST, Kafka, gRPC, GraphQL Spring / SpringBoot Grafana, Kibana, Elastic Search; Опыт работы с реляционными СУБД: Oracle, PostgreSQL, SQLServer Docker, Kubernetes; Умение работать с Jenkins, Ansible Git / BitBucket, Nexus, Jira, Confluence; Владение инструментами тестирования: JUnit, Mockito Jmeter; Будет плюсом: опыт разработки на Kotlin. Условия Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Участие во внешних IT-мероприятиях. Наши эксперты выступают на ведущих профильных конференциях, таких как HighLoad++, DevOps Conf, Joker, AHA!, Матемаркетинг и другие. А еще мы организуем собственную масштабную конференцию True Tech Day и регулярно проводим митапы для разработчиков и инженеров; Собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Полезные курсы и вебинары в корпоративном университете и электронную библиотеку; ДМС с первого месяца работы, включая стоматологию; Страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях; Отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день); Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Responsibilities: - Design and develop scalable Android features for a mobile banking application. - Implement secure financial flows including transactions, cashback logic, and tracking. - Integrate with external APIs such as payments, geolocation, and partner services. - Ensure high performance, stability, and security of the application. - Collaborate with backend, QA, and product teams to deliver features end-to-end. - Maintain and improve app architecture following modern best practices. - Lead code reviews, enforce coding standards, and mentor team members. - Monitor app health including crashes, performance, and analytics, and proactively improve it. - Work with analytics tools like Firebase and Google Analytics to track user behavior and optimize features. - Continuously improve development processes, documentation, and codebase quality. Requirements: - At least 2 years of experience in Android development using Kotlin. - Strong knowledge of Android fundamentals, application lifecycle, OOP, and architectural patterns such as MVVM and MVI. - Experience building Android UIs with Jetpack Compose and/or traditional View/XML systems. - Experience with Kotlin Coroutines and working knowledge of Flow. - Experience integrating REST APIs, handling responses, errors, and serialization. - Basic experience with local data persistence using Room or other Android storage solutions. - Familiarity with dependency injection frameworks like Hilt, Dagger, or Koin. - Experience writing unit tests and understanding basic UI testing principles. - Working knowledge of Git and basic understanding of CI/CD. - Ability to independently implement well-defined features and collaborate effectively with the development team. - English proficiency at least at Intermediate+ level.

Location: Москва Мы команда ФинСтрой AI, которая разрабатывает ИИ-решения для прогнозирования стоимости объектов строительства СБЕРа. Наша задача сократить срок подготовки оценки объекта строительства и повысить её точность. Ищем AQA-инженера, который будет тестировать поведение агента, интеграции и пользовательские сценарии. Обязанности ### **Задачи:** * формировать и поддерживать тестовую модель продукта совместно с аналитиками и разработчиками * формировать тестовые корзины для детерминированных и недетерминированных сценариев агента: входные данные, источники, ожидаемый результат и критерии проверки * формировать нагрузочный профиль агента * описывать модель поведения агента в основных, альтернативных и негативных сценариях * разработка автотестов по тест-кейсам * проводить функциональное, интеграционное, регрессионное и исследовательское тестирование web-интерфейса, backend и API * проверять корректность расчётов, полноту и непротиворечивость результата, актуальность данных, наличие обоснований и ссылок на источники * разбирать логи и трайсы работы агента, локализовывать ошибки на уровне модели, интеграции, данных или тестового стенда * тестировать сценарии с отсутствующими или противоречивыми данными, ошибками API, тайм-аутами и недоступностью внешних сервисов * заводить и сопровождать дефекты, поддерживать тестовую документацию и участвовать в подготовке релизов. Требования ### **Мы ожидаем** * опыт коммерческого тестирования web и backend-систем от трех лет * опыт автоматизации тестирования на Python, Java или TypeScript с использованием Pytest, Requests, Playwright, Selenium или аналогов * знание теории тестирования и практический опыт применения техник тест-дизайна * опыт тестирования ИИ-решений, RAG-систем или продуктов с использованием LLM * опыт тестирования REST API и интеграций * навыки работы с JSON, Postman или curl, DevTools и логами * понимание клиент-серверной архитектуры и базовых принципов работы микросервисов * умение составлять тест-кейсы, чек-листы и понятные отчёты о дефектах * готовность тестировать сценарии с вариативным результатом, выполнять повторные прогоны и сравнивать результаты с заданными критериями * умение уточнять требования и взаимодействовать с аналитиками, разработчиками и бизнес-экспертами **Будет плюсом:** * опыт проведения нагрузочного тестирования * опыт создания eval-наборов или автоматизированных проверок результатов работы ИИ-систем * опыт тестирования тулов и MCP-серверов: контрактов, схем, авторизации, тайм-аутов, повторных вызовов и обработки ошибок * опыт тестирования финансовых, аналитических, банковских или строительных систем. Условия ### Мы предлагаем: * ежегодный пересмотр зарплаты, годовой бонус * 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 * ипотека для сотрудников выгоднее до 4% * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера корпоративная пенсионная программа.

• 8+ years of production TypeScript/JavaScript experience across frontend and backend. • Deep React and GraphQL expertise (Apollo Server/Client).

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Привет! Меня зовут Лиза, я лидер главной страницы и онбординга в мобильном приложении MAGNIT OMNI. Ищу продакта в команду LMT/BDUI — платформы для data-driven управления интерфейсами клиентских приложений Главная задача продакта — превратить техническую платформу в удобный и массово используемый внутренний продукт: последовательно расширять её возможности, переводить команды и экраны на LMT и сокращать зависимость продуктовых команд от клиентской разработки при изменении интерфейсов и запуске экспериментов Задачи Формировать vision и target state LMT/BDUI, стратегию развития платформы Вести roadmap и backlog, приоритизировать продуктовые и технические инициативы Проводить discovery потребностей внутренних пользователей — продуктовых команд, дизайнеров, разработчиков Ставить и проверять гипотезы, определять метрики продукта Удерживать фокус технической команды на продуктовых вопросах: какую проблему решаем, кто потребитель, какое минимальное решение проверит ценность Совместно с технической командой отвечать за adoption продукта Требования Опыт развития платформенного или внутреннего продукта — большое преимущество Опыт развития Developer Platform, CMS, low-code/no-code, design system, experimentation platform или других внутренних платформ Понимание архитектуры современных B2C-приложений и умение разговаривать на одном языке с backend-, mobile- и frontend-разработчиками Умение работать одновременно с двумя уровнями потребностей: конечного пользователя приложения и внутренних пользователей платформы Высокая насмотренность в современных интерфейсах и понимание, какие примитивы и компоненты должна предоставлять платформа Высокая проактивность, коммуникабельность и способность двигать инициативы без формальной власти над командами-потребителями Условия Быть CEO своего продукта: большая степень автономности и возможность влиять на стратегические решения Каждый день видеть бизнес-результаты от изменений в своем продукте Суперскорость от идеи до проверки/Roll-out Амбициозные цели, свободу в управлении стратегией своего продуктового стрима Работа в крутой команде, с лучшими практиками крупных продуктовых компании (Delivery Club, Yandex, Ozon, Купер, МегаФон и др.) Возможность участвовать в конференциях для развития своего личного бренда Гибридный режим работы ДМС со стоматологией после испытательного срока, скидки на изучение языков, спорт и другие категории Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

- Own front-line support during your timezone hours, providing reliable overlap with the existing team (Saturday–Wednesday schedule). - Respond to and resolve customer tickets with clarity and care.

kake is advertising a Senior QA Engineer opportunity focused on testing web apps, APIs and backend systems, and validating AI-generated code. 🔷 Role: Senior QA Engineer.

Собирать, анализировать, согласовывать и декомпозировать функциональные и системные требования к информационным системам доменной области. Разрабатывать функциональные требования и технические спецификации для backend-сервисов на Go, web-приложений на Angular и мобильных приложений на Kotlin.

От 3 лет опыта в DevOps; Уверенный Linux, Docker, Kubernetes;

- Управлять командой разработки: Backend, Frontend, тестировщики, дизайнеры и аналитики.

Ищем лидера в одну из команд разработки, который поможет ей развивать продукт и архитектуру, будет участвовать в выборе технических решений и работать с кодом. Руководить командой разработки: помогать инженерам принимать решения и доводить задачи до запуска.

Разрабатывать и развивать пайплайны данных и платформенный слой, от которого зависят AI-продукты компании; Анализировать использование LLM: стоимость, экономику токенов и кеширования, финансовую отчетность по расходам на AI;

We are looking for a highly skilled and experienced Full Stack Senior Software Engineer (SDE-3) to join our team. In this role, you will own large features end-to-end—from design to production—drive key architectural decisions, and mentor junior developers.

Location: Москва Мы ищем целеустремленного и амбициозного Data Scientist, который готов развиваться в области AI, ML и Финансов. Мы отвечаем за задачи по AI-трансформации, связанные с Блоком Финансы, нашим основным заказчиком является Казначейство Сбера. Нашей задачей является внедрение AI и ML в таких процессах, как продуктовое ценообразование на портфельном и индивидуальном уровне, установление единых трансфертных ставок, бизнес-планирование, с целью улучшения финансовых показателей банка. В нашу работу входит анализ данных, построение моделей, внедрение их в процесс, общение с заказчиками, представление результатов руководству Банка. В работе используем как стандартные модели и алгоритмы, так и тестируем более продвинутые методы, в том числе, совместно с Лабораторией искусственного интеллекта Сбера. Обязанности * Разработка ML-моделей и алгоритмов * Вывод в production ML-моделей и расчетных модулей * Аналитика на больших данных * Поддержка реализованных решений * Разработка ML-моделей и алгоритмов для прогнозирования временных рядов Требования * продвинутые знания в области математики (мат.анализ, линейная алгебра, теория вероятностей, мат.статистика) * python: типы данных, структуры, ООП * классический ML: задачи (классификация, регрессия), метрики, basic ML stack (pandas, numpy, sklearn, catboost, xgboost), SQL * BigData stack (Hadoop, Spark, SparkML) * умение работать с git, Jira, Confluence. Будет плюсом: * знания в области финансов * опыт продуктовой аналитики * опыт работы с временными рядами (анализ, разработка моделей) * опыт работы с LLM (langchain, langgraph) * опыт end-2-end разработки ML-моделей (EDA-MVP-Solution-Validation-Production) * опыт backend разработки. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * 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 * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.