Вакансии

Задачи: — Планирование и проведение внедрения инструментов хранения и обработки данных. — Проектирование целевой архитектуры хранилищ данных. — Анализ потоков данных и выбор релевантного инструментария. — Проектирование пайплайнов данных и обеспечение качества данных. — Написание DAG, кастомных операторов и интеграций на Python. — Оптимизация SQL-запросов и настройка ресурсов кластеров. — Организация хранения и обработки данных для OLAP/OLTP задач. — Работа с заявками в Service-Desk и документацией технических решений. Требования: — Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО. — Уверенная работа с Postgres и MSSQL. — Опыт настройки и оптимизации OLAP-движков Trino, StarRocks. — Опыт работы с Cassandra, Redis. — Практический опыт с Apache Airflow (написание DAG, кастомные операторы). — Опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб). — Опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper, работа с S3. — Опыт реализации Change Data Capture паттернов. — Глубокие знания архитектуры данных и баз данных, нормализация, денормализация, модели данных. — Уверенное владение Python, включая асинхронность. — Навыки оптимизации процессов и SQL-запросов. — Владение Jira и Confluence на уровне confident user. — Опыт организации хранения и обработки данных с учетом consistency и integrity. — Понимание паттернов batch processing и CDC. — Опыт работы с заявками в Service-Desk. — Умение структурировать информацию и документировать технические решения. — Английский на уровне чтения и написания технической документации. Будет плюсом: — Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine). — Опыт эксплуатации кластеров Hadoop, YARN, Kubernetes в production. — Продвинутые знания SQL (оптимизация, window functions, CTE). — Опыт работы с CI/CD для data-пайплайнов. — Понимание принципов DDD и event-driven архитектуры. — Опыт работы с Apache NiFi. Условия: — Удаленная работа по РФ. — Полная занятость. — Зарплата 270 000 - 295 000 рублей в месяц gross. — Работа в масштабном проекте цифровой трансформации с реальными производственными системами. — Команда зрелых разработчиков и проектная поддержка (Team Lead, Product Owner, Project Manager). — Возможность инициативы, развития и расширения зоны ответственности.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Software Engineer to join our London team. In this role, you’ll help us build and maintain high-performance systems that power our hyper-local marketplace, ensuring a seamless experience for millions of users. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a multi-disciplinary engineering team focused on technical execution and collaboration. As a Software Engineer at Deliveroo, your individual work contributes to achieving goals across your team, simplifying the maintenance of production systems while ensuring operational readiness and health. Here’s what your day-to-day might look like: Design and scale backend services for our real-time marketplace using languages such as Go, Ruby, or Python. Improve code structure and architecture by participating in deep technical discussions and reviewing code across your team’s remit. Enhance system reliability by focusing on visibility, monitoring, and the overall health of production systems. Collaborate across teams to identify integration opportunities and influence the technical roadmap within your domain. Take an active role in the hiring process, conducting engineering interviews and supporting the growth of your peers. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Pride in readable, well-designed, and well-tested software, with a focus on long-term maintainability. Experience writing web-based applications in any modern language (Go, Ruby/Rails, Python, Scala, or Rust). Solid understanding of relational databases (such as PostgreSQL or MySQL). Familiarity with web architecture at scale, ideally handling high-traffic environments (20krpm and above). Exposure to NoSQL data backends or caching layers like Redis, DynamoDB, or ElasticSearch. A problem-solving mindset, particularly when applied to complex logistical or marketplace challenges. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Malta Are you an experienced Software Engineer fascinated about leadership? The Sportsbook Area within Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team. Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sports betting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen! A taster of what you will be doing: Leading team efforts (engineers, developers, testers) towards successful project delivery Developing with members of your team to ensure successful completion of business objectives and providing hands-on support with all roll-out services Motivating the team into improving its performance Ensuring that every individual can perform at his/her best and supporting personal development via work with HR Collaborating with various stakeholders, maintaining a focus on business goals What we are looking for: Development background in building highly scalable, containerized services and applications Proficiency in .NET Core, C#, messaging systems (Rabbit MQ) and in-memory databases (Redis, MS SQL), familiarity with modern web technology (Angular, JavaScript, Typescript) Deep understanding and natural tendency to lean agile principles and practices for product development Demonstrated ability to build on complex software systems and deliver solutions for business in timely manner Skills to lead teams effectively, motivate, direct and coach staff WHAT WE OFFER Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1900 strong, spread across 7 offices! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and always striving to push the boundaries and challenge yourself, then you’ll fit right in. We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world. CHALLENGE ACCEPTED? Check out the Betsson Group Blog to find out what our employees are talking about. By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Задачи: — Работать на реальных проектах, решать возникающие проблемы. — Строить fintech и microservice проекты. — Применять различные технологии, включая design patterns. Требования: — Желание учиться и работать с перечисленными технологиями. Условия: — Обучение под руководством опытного наставника Izzatullayev Behruz. Технологии: Java Core, Java Advanced, PostgreSQL, Spring Core, Spring Boot, Spring Security, Liquibase, Spring Aop, Redis, Keycloak, Spring Oauth2, Spring Cloud, RabbitMQ, Kafka, Docker/Docker Compose, CI/CD.

Задачи: — Планирование и проведение внедрения инструментов хранения и обработки данных. — Проектирование целевой архитектуры хранилищ данных. — Анализ потоков данных и выбор релевантного инструментария. — Проектирование пайплайнов данных, обеспечение качества данных. — Написание DAG, кастомных операторов и интеграций на Python. — Оптимизация SQL-запросов и настройка ресурсов кластеров. — Организация хранения и обработки данных для OLAP/OLTP задач. — Работа с заявками в Service-Desk, документирование технических решений. Требования: — Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО. — Уверенная работа с Postgres и MSSQL. — Опыт настройки и оптимизации OLAP-движков (Trino, StarRocks) и современных хранилищ (Cassandra, Redis). — Практический опыт работы с Apache Airflow (написание DAG, кастомные операторы). — Опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб). — Опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper, работа с S3. — Опыт реализации Change Data Capture паттернов. — Глубокие знания архитектуры данных и баз данных, нормализация, денормализация, проектирование моделей. — Уверенное владение Python, включая асинхронность. — Навыки оптимизации процессов и SQL-запросов. — Владение Jira и Confluence на уровне confident user. — Опыт организации хранения и обработки данных с учетом требований consistency/integrity. — Опыт работы с batch processing и CDC паттернами. — Умение структурировать информацию, работать с требованиями, документировать решения. — Английский на уровне чтения и написания технической документации. Будет плюсом: — Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine). — Опыт эксплуатации кластеров (Hadoop, YARN, Kubernetes) в production. — Продвинутые знания SQL (оптимизация, window functions, CTE). — Опыт работы с CI/CD для data-пайплайнов. — Понимание принципов DDD, event-driven архитектуры. — Опыт работы с Apache NiFi. Условия: — Удаленная работа по РФ. — Полная занятость (full-time). — Зарплата 270 000 - 295 000 рублей в месяц, gross.

Задачи: — Разработка Data Pipelines: проектирование и реализация ETL/ELT-пайплайнов, построение DAG в Apache Airflow, написание кастомных операторов и сенсоров на Python, настройка ретраев, алертинга и зависимостей. — Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark. — Оптимизация производительности: поиск и устранение узких мест, оптимизация медленных SQL-запросов (анализ execution plans, индексы, партиционирование), тюнинг конфигурации движков обработки (Flink, Spark) и баз данных для минимизации потребления ресурсов (CPU, RAM, I/O). — Обеспечение качества данных: организация тестирования трансформаций данных, внедрение механизмов проверки целостности и актуальности данных, реализация процессов нормализации и дедупликации. — Интеграции: разработка и поддержка интеграций между системами: REST/gRPC API, базы данных, message brokers (Kafka, MQTT), файловые хранилища (S3), Timeseries DB. — Взаимодействие с разработчиками и тестировщиками для уточнения технических ограничений и требований. Требования: — Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО. — Опыт работы с Postgres и MSSQL. — Опыт настройки и оптимизации OLAP-движков (Trino, StarRocks) и современных хранилищ (Cassandra, Redis). — Практический опыт работы с Apache Airflow (написание DAG, кастомные операторы). — Опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб, состояние, чекпоинты). — Опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper для управления метаданными, работа с объектным хранилищем S3. — Опыт реализации Change Data Capture паттернов для синхронизации данных между системами. — Знания в области архитектуры данных и баз данных: понимание принципов нормализации и денормализации, проектирование relational и columnar моделей, стратегии управления данными (lifecycle, retention, versioning). — Владение Python: написание скриптов, модулей, работа с асинхронностью при необходимости; опыт написания DAG в Apache Airflow, включая кастомные операторы, hooks, sensors. — Умение профилировать процессы, находить bottlenecks, оптимизировать SQL-запросы и настраивать ресурсы кластеров под нагрузку. — Опыт организации хранения данных для последующих задач OLAP / OLTP с учетом требований (consistency / integrity). — Опыт организации обработки данных в рамках задач OLAP / OLTP с применением различных паттернов (batch processing, CDC). — Понимание ключевых особенностей и сценариев применения различных паттернов организации интеграционных потоков (batch processing, CDC) с учетом их характеристик (3V+). — Умение структурировать информацию, работать с требованиями, документировать технические решения. Будет плюсом: — Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine и др.). — Глубокий опыт эксплуатации кластеров (Hadoop, YARN, Kubernetes) в production-среде. — Знание SQL на продвинутом уровне (оптимизация сложных запросов, window functions, CTE). — Опыт работы с CI/CD для data-пайплайнов. — Понимание принципов DDD, event-driven архитектуры. — Опыт работы с Apache NiFi.

Задачи: — Разрабатывать и поддерживать сервисы и API на C# / .NET — Разрабатывать интерфейсы на React или Vue — в зависимости от проекта — Участвовать в проектировании архитектуры и выборе технических решений — Писать поддерживаемый, тестируемый и понятный код — Проводить code review и помогать команде расти — Работать с базами данных, очередями, кэшами, внешними API — Участвовать в CI/CD, деплое и мониторинге — Декомпозировать задачи, оценивать сроки и влиять на технические решения — Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта Требования: — Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior — Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core — Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации — Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management — TypeScript — уверенное использование — Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги — Понимание SQL и умение писать запросы — Опыт с Docker, Git, Linux, CI/CD — Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги — Понимание принципов SOLID, паттернов проектирования и чистого кода — Технический английский — чтение документации, переписка, созвоны Будет плюсом: — Опыт коммерческой разработки и на React, и на Vue — Опыт миграции между фреймворками (Vue → React, React → Vue) — Fullstack-опыт: самостоятельная разработка от API до интерфейса — Микросервисная архитектура, gRPC, GraphQL — Kafka, RabbitMQ, Redis, NATS — Kubernetes, Helm, Terraform, Ansible — Cloud: AWS / Azure / GCP / Yandex Cloud — Опыт высоконагруженных систем — Опыт миграций, работы с легаси, монорепозиториями — Опыт в финтехе, e-commerce, SaaS, ML, DevTools — Вклад в open source — Опыт менторства, техлидства, архитектурных ревью — Английский B2+ — Опыт работы в продуктовых командах и/или стартапах Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо Контакты для отклика: info@it-implant.ru

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits

Location: Kazakhstan; Yerevan, Armenia; Uzbekistan; Tbilisi, Georgia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits

Location: Minsk, Belarus As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits

Location: SF Bay Area Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges! WHAT YOU'LL DO - You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents. - You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data. - You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills. - You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more. - You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. WHO YOU ARE - Proven Expertise: You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred. - AI Agents and Agentic Security: You have experience building AI agents, agentic applications, or security solutions for AI agents. Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred. - Cloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications. - Data Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - Programming Skills: You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust. - Database Proficiency: Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus. - Performance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms. - API and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes. - Communication Skills: You have excellent verbal and written communication skills in English and are comfortable collaborating frequently with distributed teams across Europe, India, and the US. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Bangalore Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced Senior Software Engineer with 5+ years of experience to help build and evolve our data and AI security product. You’ll work on scalable backend systems that protect enterprise data across cloud environments, SaaS applications, and AI agents. As an early contributor, you’ll have the opportunity to influence technical decisions and solve complex engineering challenges at scale. WHAT YOU’LL DO - Design and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents. - Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data. - Build and optimize distributed services that process large volumes of data with high performance and reliability. - Work with a modern microservices-based stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker. - Write secure, production-ready code and troubleshoot complex performance and scalability challenges. - Collaborate with engineering teams to contribute to technical design and architecture decisions. WHO YOU ARE - You have 5+ years of software engineering experience building scalable backend systems and distributed applications. - You have experience developing cloud-native or SaaS applications, preferably in security or data protection. - You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP. - You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - You have strong programming skills in Go, Python, Java, or Rust, with Go preferred. - You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms. - You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases. - You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions. - You communicate effectively and collaborate well with distributed teams. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make We are seeking a highly skilled Backend Engineer to join our team of backend and DevOps experts. In this role, you will design and implement scalable, resilient backend services that power products used by millions of users. You’ll tackle complex engineering challenges, from extracting services from a monolith to designing robust APIs and data migrations, while ensuring performance, stability, and maintainability. What You’ll Own & Drive Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design. Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring. Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices. Complex Problem-Solving – Tackle challenging engineering problems such as decomposing monolithic applications into microservices, managing large-scale data migrations, and optimizing system performance. Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks. Cross-Team Collaboration – Work closely with DevOps, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Align engineering solutions with business needs and operational goals. What You’ll Own & Drive Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design. Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring. Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices. Complex Problem-Solving – Tackle challenging engineering problems such as decomposing monolithic applications into microservices, managing large-scale data migrations, and optimizing system performance. Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks. Cross-Team Collaboration – Work closely with DevOps, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Align engineering solutions with business needs and operational goals. The Qualities That Set You Apart Technical Mastery – Deep knowledge of Java/Kotlin and the Spring framework ecosystem, with proven expertise in backend architectures. Database Expertise – Strong understanding of PostgreSQL, MongoDB, and Redis, with the ability to design schemas, optimize queries, and ensure data consistency. API Design Proficiency – Experience in designing, building, and maintaining REST APIs with a focus on clarity, scalability, and long-term maintainability. Analytical Mindset – Skilled at breaking down complex systems and applying logical, systematic approaches to engineering problems. Quality-Driven Approach – Commitment to writing high-quality, maintainable code with comprehensive test coverage. Adaptability & Growth – Thrives in dynamic, fast-paced environments. Willing to take ownership of difficult problems and continuously grow technical expertise. Collaborative Spirit – Strong communication and teamwork skills, enabling seamless collaboration across engineering and DevOps teams. Your Background 5+ years of professional software development experience Proficiency in Java/Kotlin and the Spring framework ecosystem Experience with observability tools (logging, monitoring, tracing) Solid understanding of PostgreSQL, MongoDB, and Redis Hands-on experience in domain modeling and REST API design Track record of delivering scalable and maintainable systems Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Ищется опытный разработчик Python с минимум пятилетним стажем в промышленной разработке. Кандидат должен уверенно работать с Python версии 3.8 и выше, а также иметь опыт использования фреймворков Django 3 и FastAPI. Важным является хорошее понимание алгоритмов и структур данных. Необходимо свободное владение SQL, а также опыт работы с базами данных PostgreSQL и системой кеширования Redis. Работа предполагает гибридный формат в Москве.

Задачи: — Разработка backend реализаций для веб-сервисов — Участие в разработке архитектуры и реализации прототипов новых веб-сервисов — Коммуникация с front-end и back-end разработчиками, QA — Написание валидного читабельного кода — Написание юнит-тестов для разработанных компонентов Требования: — Гражданство и локация только РФ — Опыт в автоматизации на Python, не менее 4 лет — Владение pytest, pytest-asyncio — Опыт с api тестами (REST) и UI тестами (Selenium, Playwright) — Знание базово: SQL, Redis, MongoDB (pymongo), Clickhouse/Postgresql, Kafka, SFTP, Minio — Опыт работы с Docker и docker-compose — Опыт работы с Allure TestOps — Навык использования моков — Знание CI Условия: — Удалённая работа — Занятость full-time — Уровень зарплаты до 146к рублей на руки

Задачи: — Создание и поддержка высоконагруженных сервисов на Go для маршрутизации запросов к нейросетям. — Проектирование и масштабирование архитектуры: разработка распределенных микросервисов в инфраструктуре Kubernetes. — Управление потоками данных и очередями: интеграция и оптимизация работы с брокером сообщений Apache Kafka. — Работа с базами данных и аналитикой: проектирование схем и оптимизация запросов в PostgreSQL и ClickHouse для трекинга и биллинга. — Оптимизация производительности и кэширования: реализация механизмов кэширования и хранения сессий с использованием Redis. — Разработка подсистем проксирования и биллинга: создание надежных шлюзов для проксирования трафика и учета потребления ресурсов пользователей, учет лимитов, доступов по ключам. — Обеспечение качества кода: написание чистого, поддерживаемого кода и покрытие его тестами. — Участие в инженерных процессах: проведение и прохождение перекрестных Code Review для поддержания высоких стандартов разработки, участие в ежедневных технических созвонах с командой. Условия: — Удалённый формат работы с гибким началом дня. — Полностью “белое” оформление по ТК РФ. — Оклад 250 000 - 300 000 руб на руки (по итогам собеседования) + ежеквартальная премия после прохождения испытательного срока 3 месяца. — Насыщенная корпоративная культура. — Прозрачность процессов. — Пространство для реализации текущих компетенций и приобретения новых. — Регулярная обратная связь. Требования: — Релевантный опыт работы от 3х лет. — Уверенное владение PostgreSQL, ClickHouse, Redis, Kafka. — Опыт разработки API Gateway. — Культура тестирования кода. — Умение расставлять приоритеты и работать без микроменеджмента. — Гибкость мышления и готовность к изменениям в высокодинамичном проекте. Для рассмотрения кандидатуры, в сопроводительном письме необходимо ответить на вопросы: — Три инстанса прокси сервиса имеют общий лимит 100 запросов в минуту к провайдеру. — Лимит реализован через Redis в асинхронном режиме (счетчик соединений обновляется фоном). — Как должен повести себя сервис при даунтайме редиса? — Расскажи про то как ты относишься к дженерикам? — В каких ситуациях это реально помогало, а в каких только усложняло? — Какие признаки в проекте могут говорить о том, что его следует реализовывать в виде микросервисов? Резюме без корректного сопроводительного письма рассматриваться не будут. Этапы: — Скрининг резюме и сопроводительного письма. — Отбор по резюме руководителем отдела. — Скрининг с HR с успешно отобранными кандидатами. — Техническое интервью с руководителем отдела. — Оффер -> Знакомство с СТО.

Задачи: — Тестирование процесса декомпозиции монолитного приложения и переноса бизнес-функций в микросервисы; — Проверка сохранения поведения системы, API-контрактов, интеграций, миграции и обработки данных; — Проведение функционального, интеграционного, регрессионного и сквозного тестирования; — Выявление расхождений между монолитом и микросервисной реализацией; — Ведение тест-кейсов, чек-листов, дефектов, результатов тестов, фиксация тестовых данных и ежедневная отчетность. Требования: — Опыт работы от 3 лет в тестировании backend-сервисов, API и интеграций между системами; — API-тестирование: от 3 лет; — Тестирование микросервисов: от 3 лет; — SQL/PostgreSQL: от 2 лет; — Асинхронные процессы и очереди: от 2 лет; — Docker/Kubernetes: от 1 года; — Jira/Confluence/GitLab: от 1 года; — Не менее трех коммерческих Enterprise-проектов; — Опыт тестирования микросервисной архитектуры и интеграций с legacy-системами; — Владение Python, pytest или аналогичным фреймворком, REST API, Postman/Insomnia, Swagger/OpenAPI, PostgreSQL, JSON/JSONB, GitLab, Docker, Kubernetes, S3-хранилища, инструментами мониторинга и анализа логов. Будет преимуществом: — Опыт написания unit, integration и contract тестов; — Навыки работы с RestAssured/Newman, Kafka или RabbitMQ, Redis, MinIO, Grafana, Prometheus, OpenTelemetry, Allure/TestRail/Zephyr, Charles/Fiddler, PlantUML/C4. Условия: — Проектная занятость, долгосрочный проект (фултайм); — ГПХ или ИП; — Удаленная работа по РФ (строго Москва, Саранск); — Почасовая оплата до 1500₽/час гросс.

Задачи: — Разработка и развитие микросервисов, их взаимодействия по REST и через Kafka; — участие в проектировании решений вместе с командой; — рефакторинг, повышение производительности и отказоустойчивости сервиса рассылок; — разработка логики конструктора писем и персонализированных коммуникаций, включая AI-функции формирования персонализированных писем; — разработка асинхронных микросервисов на FastAPI и обработка событий Kafka: гарантии доставки, идемпотентность и повторная обработка; — использование кодовых агентов, проверка и доработка сгенерированного кода; — написание unit- и интеграционных тестов, code review, документирование решений; — работа с логами и метриками и диагностика ошибок; — декомпозиция и оценка задач, сопровождение до внедрения и взаимодействие с аналитиками, QA и frontend-разработчиками. Требования: — От 3 лет коммерческой разработки на Python и профильное IT-образование; — уверенное знание Python и asyncio, опыт с FastAPI, REST API и микросервисной архитектурой; — уверенный SQL и PostgreSQL, включая транзакции, индексы и планы запросов; — опыт работы с ORM; — практический опыт с Redis, Docker и Apache Kafka в production, а также с логами, метриками и диагностикой production-инцидентов; — ежедневная работа с AI-кодовым агентом; — умение декомпозировать задачи, управлять контекстом, использовать AGENTS.md, rules, скиллы и MCP-инструменты; — умение объяснять и проверять сгенерированный код, исправлять ошибки и доводить решение до production. Условия: — формат работы: офис или гибрид, Москва.