Вакансии

Команда развивает платформу корпоративного обучения сотрудников. Задачи: — перепроектировать личные кабинеты и систему ролей и доступов — развивать инструменты обучения — создать нагруженный сервис онлайн-расписаний для записи к тренерам и менторам Стек: Python 3, Django, Django REST Framework, PostgreSQL, Celery, Redis. Для новых сервисов команда также внедряет Kotlin и Temporal. Требования: — коммерческий опыт разработки на Python — знание Django и DRF — опыт работы с PostgreSQL, Celery, Redis, REST API и Docker — важны тестирование, code review и умение аргументировать технические решения — опыт с Kotlin, Temporal или в EdTech/HRTech будет плюсом Условия: — премии каждые полгода после успешного ревью — расширенный ДМС — обучение и менторство — оплата профильных конференций — частичная оплата языкового обучения

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. 🚀 Senior Software Engineer, Growth Platform - Backend Growth Platform is how DoorDash, Wolt, and Deliveroo market as one. We're building a single AI-native marketing platform across all three brands, unifying customer data, intelligence, and execution so every partner team can launch faster, personalize better, learn continuously, and scale wins across brands. The scope is global, the ambition is large, and we're only getting started. We're hiring backend engineers who want to be at the front line of what engineering looks like in the age of AI. 💡 What you’ll be doing An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a focused team can ship. Real ownership, real impact. Growth Platform powers marketing across DoorDash, Wolt, and Deliveroo, reaching millions of users daily. You'll own features end-to-end, from the idea through production, and see your work matter at scale across three brands. Cross-org engineering at the frontier. We work across DoorDash, Wolt, and Deliveroo to unify customer data, intelligence, and execution into one platform. This is engineering at the intersection of product ambition, marketing at scale, and international complexity. Leverage those compounds. Everything we ship is leverage: unify the data, sharpen the intelligence, and streamline execution so every partner marketing team can launch faster, personalize better, and learn continuously. When we get it right, wins scale across all three brands instead of being rebuilt one at a time. We're building teams at the forefront of agentic coding. This isn't about using Copilot to autocomplete boilerplate. We mean engineers who: Design workflows where AI agents handle entire task loops, from spec to PR. Think in terms of orchestration: what does a human review, what does the agent own? Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team. Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype. If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in. 🔍 Our humble expectations Strong engineering fundamentals - you've built and shipped software that runs at scale, and you understand what that entails: testing, observability, reliability, and maintainability. Genuine enthusiasm for AI-first development. You use AI tools daily and have formed real opinions about how to get the most out of them. Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do. Collaborative instincts - Growth Platform sits at the intersection of backend, data, ML, and product. Cross-functional work is the norm, not the exception. 🙌 About You You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends. What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work. You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through. 🌍 Where You'll Work This role is based in our tech hub in Helsinki. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Backend-инженер в dating app — приложение знакомств под две платформы (IOS/Android). Нужен человек для совместного создания приложения на добровольных началах. Стек: Node.js, Fastify, Drizzle, PostGIS, Docker, Redis Удалённая работа.

Softnetix — белорусская IT-компания, разрабатывающая программное обеспечение для спортивной аналитики, iGaming и гемблинга. Офис в Минске или Варшаве.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Должность: Backend Engineer (Go) Стек: Go, PostgreSQL, gRPC/REST, Kafka, микросервисы Требования: — 3+ года коммерческой разработки на Go Как у нас устроена работа: — Работаем по Scrum (без фанатизма) — Важно качество, допускаются итеративные улучшения и обучение Продукт работает на разных рынках (Казахстан, Мексика, Индонезия, Египет, Марокко, Пакистан и другие)

Задачи: — Залить обучающие видео в облако (Yandex Object Storage или VK Cloud). — Написать скрипт, который пропишет ссылки на видео в базу данных. — Проверить, что ссылки работают. Требования: — Базовый опыт backend-разработки. — Умение работать с облачными хранилищами и базами данных. — Готовность подписать NDA. Условия: — Оплата 10 000 ₽ после сдачи (возможен торг). — Реальный кейс в портфолио. — Возможность дальнейшего сотрудничества.

Задачи: — Разрабатывать и поддерживать backend-сервисы на Python (FastAPI, asyncio) — Развивать логику диалогового агента: сценарии и состояния звонка, извлечение данных из реплик, работу с LLM — Писать интеграции с МИС и CRM клиник (расписание врачей, запись пациентов) и с внешними API — Проектировать REST API для веб-интерфейса операторов и админки клиник — Работать с фоновыми задачами и очередями (Celery / TaskIQ, RabbitMQ, Redis) — Проектировать схемы данных и оптимизировать запросы в PostgreSQL — Разбирать логи звонков, находить и исправлять ошибки в поведении агента — Участвовать в код-ревью, покрывать код тестами, улучшать кодовую базу — Деплоить и сопровождать сервисы в Docker на Ubuntu Требования: — Коммерческий опыт разработки на Python от 1 до 3 лет — Опыт разработки на FastAPI и уверенное понимание async/await в Python — Pydantic (v2): валидация данных, схемы запросов и ответов, настройки — PostgreSQL: уверенный SQL, индексы, оптимизация запросов — Опыт с SQLAlchemy — Alembic: написание и сопровождение миграций — Celery: фоновые и отложенные задачи, ретраи, периодические задачи — RabbitMQ: понимание очередей, exchange и routing, гарантий доставки — Redis: кэширование, брокер/бэкенд для задач, TTL, базовые структуры данных — Docker и Docker Compose: умение собрать образ, поднять окружение из нескольких сервисов и разобраться, почему оно не стартует — Git и pull request-флоу (GitHub) — Linux (Ubuntu) на уровне повседневных задач: логи, процессы, сеть — Умение читать чужой код, задавать вопросы и доводить задачи до прода Будет плюсом: — Опыт интеграции с LLM API (OpenAI-совместимые API, vLLM), промпт-инжиниринг, structured output — Знакомство с LangGraph, LangChain или другими фреймворками для агентов — Опыт с real-time системами: WebSocket, стриминг, работа с аудио — Знакомство с IP-телефонией (SIP, Asterisk, LiveKit) или с медиапайплайнами (Pipecat) — Опыт интеграций с медицинскими информационными системами — Тесты на pytest как привычная часть работы Условия: — Зарплата 80 000–120 000 ₽ на руки, конкретная сумма — по итогам собеседования — Удалённая работа — Оформление по ТК или как самозанятый — Короткий путь от задачи до прода, без месяцев согласований — Прямое влияние на технические решения: открытость к предложениям по стеку и архитектуре

Задачи: — Разработка backend-сервисов на Python: API, интеграции, фоновые и долгие задачи; — Подключение языковых моделей по API и сборка на них прикладных сценариев для внутренних и клиентских продуктов; — Проектирование архитектуры решений (очереди, хранение результатов, интеграции); — Ведение технической экспертизы и участие в развитии команды. Требования: — Опыт коммерческой разработки на Python от 5 лет; — Опыт FastAPI и asyncio; — Уверенное владение PostgreSQL; — Опыт очередей или фоновых воркеров; — Понимание, как вызывать LLM как внешний сервис (таймауты, ошибки, ограничения); — Опыт проектирования архитектуры и интеграции сложных сервисов; — Docker; — Желание делиться экспертизой и развиваться в области AI. Будет плюсом: — Объектные хранилища; — Опыт RAG или векторного поиска. Условия: — Работа в аккредитованной IT компании; — Официальное трудоустройство в соответствии с ТК РФ; — Гибкое начало рабочего дня и возможность работать в удаленном, гибридном или офисном формате; — Компенсация спорта и ДМС; — Компенсация больничного 100%; — Внешнее обучение и сертификация за счет компании; — Участие в профильных мероприятиях (митапы, конференции, семинары, выставки); — Система наставничества и обучение внутри компании; — Бонусы от компании на знаковые даты и события; — Корпоративные мероприятия и различные активности.

Location: Buenos Aires, Argentina; Medellín, Colombia; Bangalore, India; Guadalajara, Mexico; Lahore, Pakistan Workplace: fully We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms. You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries. 💰 $100 Bonus Opportunity: Candidates who successfully complete the coding assessment and meet our quality standards may be invited to an additional evaluation stage. Candidates who successfully pass this stage and are selected to proceed to the final interview will receive a $100 bonus . To be considered for the assessment, please submit your resume through this job application. If your resume is approved, we’ll send you the coding assessment with further instructions. What You’ll Do Design and implement backend services and APIs using Python + Django (and DRF or similar). Model and evolve our domain in the database with clean, well-structured schema s and relationships. Implement algorithmic/AI logic in the backend (e.g., scoring, ranking, routing, decision rules). Write pragmatic, production-ready code that’s easy to reason about and iterate on. Optimize for correctness and performance : efficient queries, smart indexing, and lean responses. Work with the team to turn product ideas into concrete technical designs and endpoints. Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow. What We’re Looking For Strong experience building backend applications with Python + Django . Solid understanding of relational data modeling and SQL (we use PostgreSQL). Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks). Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic). Good instincts around performance : understanding query behavior, avoiding obvious pitfalls, and using caching when it counts. A startup mindset : comfortable with ambiguity, moving fast, and iterating based on real- world feedback. Ability to work independently in a remote environment and communicate clearly. Bonus Points For Experience in startups, side projects, or hackathons where you’ve had to ship scrappy solutions fast. Background in algorithms, optimization, or data-heavy systems. Experience with Google Cloud Platform (GCP) in production. Familiarity with Redis (caching, queues) and PostgreSQL at some scale. Exposure to containers and orchestration (Docker, Kubernetes) and/or serverless on GCP. This role is a central piece of our backend roadmap , and we’re aiming to fill it quickly once we meet the right person. If it resonates with you, go ahead and apply now. Send us your resume to start the assessment process (and get a chance at the $100 bonus).

Задачи: — Разработка backend на Go с использованием PostgreSQL, gRPC/REST, Kafka, микросервисной архитектуры — Работа в Scrum-команде с гибким подходом к процессам — Адаптация продукта под разные рынки (Казахстан, Мексика, Индонезия, Египет, Марокко, Пакистан и другие) Требования: — 3+ года коммерческой разработки на Go Условия: — Удалённая работа в международной компании inDrive, работающей в 40+ странах О компании: Intercity — ключевая вертикаль inDrive, обеспечивающая тысячи поездок в различных странах мира.

Задачи: — Развитие и кастомизация внутренних и внешних порталов на базе Bitrix — Разработка функциональных модулей для корпоративных порталов — Реализация интеграционных решений для обмена данными между различными информационными системами компании — Обеспечение стабильной работы бэкенда и интеграция с фронтендом на VueJS Требования: — Знакомство с платформой Bitrix/Bitrix24 (понимание архитектуры, механизмов инфоблоков, API и работы с админ-панелью) — Базовые знания PHP — Понимание принципов работы баз данных и владение SQL (написание запросов, извлечение данных) — Понимание концепции REST API и принципов взаимодействия клиента и сервера — Базовые знания HTML, CSS и JavaScript (jQuery, Ajax) для кастомизации компонентов — Владение системой контроля версий Git — Понимание принципов CI/CD (автоматизация сборки и доставки кода) — Знакомство с концепцией асинхронных шин данных и очередями сообщений Условия: — Неполный рабочий день — Возможность удалённой работы

Qo'shimcha: Backend dasturlash, python, sun’iy intellekt (ai) va kiberxavfsizlik yo‘nalishlaridan dars bera oladigan, amaliy tajribaga ega va o‘quvchilar bilan ishlash ko‘nikmasi yaxshi bo‘lgan mutaxassis kerak. Darslarni amaliy loyihalar asosida olib borish va o‘quvchilarga zamonaviy texnologiyalarni o‘rgatish talab etiladi. Ish vaqti dars jadvaliga qarab. Murojaat vaqti: 9:00 - 18:00.

Задачи: — Разрабатывать и поддерживать бэкенд‑сервисы для ИИ‑агентов на базе Yandex AI Studio (агенты, RAG, инструменты, автоматизации). — Интегрировать агентов с внутренними системами через REST API (тикет‑системы, внутренние сервисы): обработка запросов, авторизация, ошибки, retry, логирование. — Строить и поддерживать пайплайны обновления RAG‑баз: загрузка/парсинг документов, генерация эмбеддингов, идемпотентные апдейты векторной базы, логирование изменений. — Организовывать автоматическую оценку качества агентов (eval‑harness): подготовка тестовых наборов, прогон запросов, расчёт метрик, отчёты о регрессиях. — Проводить анализ логов/трейсов работы агентов: базовые метрики, выявление проблемных сценариев, формулировка гипотез и приоритетных улучшений. — Обеспечивать надёжность и наблюдаемость: внятные логи, метрики, обработка ошибок, стабильность при повторных запусках. — Взаимодействовать с командой по требованиям, документации и интеграциям; при необходимости поддерживать и дорабатывать существующие скрипты/сервисы. Требования: Обязательные: — Уверенный Node.js, умение писать чистый, тестируемый код, работать с асинхронностью/конкурентностью. — Понимание принципов работы RAG: загрузка/парсинг документов, эмбеддинги, векторные базы, стратегии апдейтов. — Опыт работы с REST API: заголовки, тело, авторизация, обработка ошибок; базовое понимание CI/CD. — Навыки работы с данными: JSON/CSV, базовая нормализация и дедупликация, написание простых скриптов/утилит. — Готовность разбираться в логах/трейсах, считать метрики и предлагать улучшения. — Опыт работы с sql база данных. Будет плюсом: — Опыт с Open WebUI (кастомные функции/интеграции) и Yandex AI Studio (агенты, RAG, инструменты). — Знакомство с Python на уровне чтения/поддержки скриптов (для взаимозаменяемости и миграции). — Работа с ITSM/тикет‑системами (Jira и аналоги), LDAP/AD, Nginx, Linux/Windows Server. — Навыки документирования (требования, схемы в Mermaid/PlantUML/C4). Условия: — Работа в аккредитованной IT-компании. — Различные форматы работы: гибрид / офис / удалённый формат. — Возможности для профессионального и карьерного роста: карьерные треки. — Внутреннее и внешнее обучение. — Расширенная программа лояльности и скидки на услуги и товары Рольф, и партнеров (фитнес, изучение языков, кэшбэки, библиотеки профессиональной литературы и др.).