Вакансии

Задачи: — Функционально и интеграционно тестировать микросервисы — Покрывать автотестами новый функционал и беклог автоматизации — Поддерживать, дорабатывать существующие фреймворки тестирования микросервисов и разрабатывать их с нуля — Активно участвовать в жизни команды: планировать, разбирать и оценивать беклог, вносить свой вклад в ретроспективы и демо Требования: — Умение тестировать (теория тестирования, составление тест-кейсов, структурный подход к планированию тестирования) — Знание Linux (уверенная работа с CLI, логами, процессами, сетевыми утилитами) — Знание SQL (понимание индексов, транзакций, агрегаций, фильтрации, работы с тестовыми данными) — Уверенное знание Python (понимание принципов построения автотестового фреймворка, опыт разработки и отладки скриптов, понимание основ ООП) — Понимание как работает HTTP и что такое REST API, gRPC (Protobuf, HTTP-коды, headers, auth, idempotency, retries, timeouts) — Уверенная работа с Docker и docker-compose (сборка образов, запуск контейнеров, написание compose-файлов) — Опыт работы с Kubernetes и kubectl (понимание подов, сервисов, деплойментов, чтение логов) — Опыт написания автотестов в стеке python + pytest + allure + xdist — Знание git (checkout, branch, commit, push, pull, rebase, merge) — Опыт работы с Jenkins / GitLab CI Условия: — Официальное трудоустройство. Мы - аккредитованная IT компания! — Уютный и современный офис в шаговой доступности от станций метро Дмитровская, Савеловская, рядом с Флаконом и Хлебозаводом — Гибридный формат работы и помощь с релокейтом в Москву из регионов России при необходимости — Предоставление современной рабочей техники, дополнительный монитор и многое другое для комфортной работы — Заботу о здоровье: возможность получать консультации психолога, юриста, финансового консультанта и специалиста по ЗОЖ, а после испытательного срока - ДМС (со стоматологией) и страховку для выезда за рубеж — Поддержку в обмене знаниями и идеями: поощряем выступления на митапах и помогаем с подготовкой докладов — Бесплатную подписку на сервис корпоративных скидок и предложений BestBenefits, а также доступ к онлайн-библиотеке издательства «МИФ»

Задачи: - Разработка Python-сервисов для аналитики, расчета себестоимости, цен и скидок. - Создание и поддержка API-интеграций с 1С, сайтом, маркетплейсами и внешними системами. - Разработка ETL-процессов и обработка больших объемов данных. - Проектирование и оптимизация запросов в ClickHouse и PostgreSQL. - Настройка асинхронной обработки задач (Celery, RabbitMQ/Kafka). - Создание аналитических дашбордов и отчетности. - Рефакторинг существующих сервисов, код-ревью и повышение качества кода. Требования: - Python от 4 лет в коммерческой разработке. - Опыт работы с Celery и RabbitMQ/Kafka. - Опыт построения ETL-пайплайнов и работы с большими данными. - Уверенный SQL, ClickHouse и PostgreSQL. - Опыт с Airflow или Dagster. - Docker, Kubernetes. - Опыт разработки и поддержки REST API. - Понимание форматов JSON/XML и интеграционных процессов. - Опыт использования AI-инструментов для ускорения рутинных задач, грамотный промпт-инжиниринг и строгое ревью сгенерированного кода. Будет плюсом: - Go. - Apache Superset. - Интеграции с 1С. - Опыт в e-commerce/ритейле, понимание FIFO и расчета себестоимости. - Интеграции с Честным ЗНАКом и ЕГАИС. Условия: - Официальное трудоустройство по ТК РФ и полный социальный пакет. - График работы: 5/2 с 9:00 до 18:00 (сб, вс - выходные). - Корпоративные скидки на автозапчасти для сотрудников. - Материальная помощь по семейным обстоятельствам. - Бесплатные комплексные обеды за счет компании. - Доставка к месту работы служебным транспортом. - На территории имеется парковка и зоны отдыха. - Корпоративная культура: занятия спортом, реферальная программа, мероприятия, новогодние праздники, обучение и повышение квалификации, оплачиваемые курсы.

Location: San Mateo; New York Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a fast-scaling AI infrastructure company that helps enterprises and AI-native startups build, fine-tune, and serve their own specialized AI models — no more relying on someone else's black-box API. Their platform runs in production for some of the most recognizable names in tech, spanning text, image, embedding, audio, and multimodal workloads. Freshly backed by a Series D at a $17.5B valuation, this is a company with real scale, real customers, and real momentum behind it. THE MISSION They believe the next generation of great products will be built by companies that own their AI stack, not just rent it. Their mission is making open-model AI infrastructure genuinely fast, flexible, and production-grade for the teams building at the frontier. THE OPPORTUNITY This is a forward-deployed engineering role where you're never far from either a terminal or a whiteboard with a VP on it. You'll work directly with VP Engineering, Head of AI/ML, and CTO-level partners at Fortune 500 enterprises and cutting-edge AI-native startups, owning the technical win from the first discovery call all the way through production. Two tracks are open — Enterprise and AI-Native — same role, different customer base, and we'll talk through which fits your background and interests best. WHAT YOU'LL DO - Run the full pre-sales field cycle yourself: discovery, POC scoping, model evals, and final model selection - Ship real production code inside customer environments — this is hands-on building, not advisory slides - Deploy and fine-tune open-model LLMs using frameworks like vLLM, SGLang, and TensorRT-LLM (SFT baseline, DPO/RFT a big plus) - Act as a true partner to your sales counterpart, shaping deal strategy rather than just supporting it - Build relationships across a customer's org, from engineers to executives, and know how to move a deal forward on both levels WHAT YOU BRING - 3+ years in a client-facing AI/ML role — Solutions Architect, Forward-Deployed Engineer, Customer Success Engineer, Applied AI Engineer, Sales Engineer, or an AI/ML-focused SWE with genuine customer exposure - Real hands-on experience with open-model LLM inference and/or fine-tuning - Hyperscaler experience in an AI context (AWS, Azure, or GCP) - Strong Python skills, comfort with GPU infrastructure and Kubernetes - A background at an AI-native company or a SaaS company genuinely building AI features (not bolting them on) - Full-time work history, and openness to travel to enterprise customers as needed KEY SUCCESS DRIVERS You're the rare person equally comfortable debugging inference trade-offs with an ML engineer in the morning and presenting the same trade-offs to a VP by afternoon. You bring genuine customer obsession alongside technical depth — this role rewards people who've shipped things themselves, not just advised on them. Strong candidates own outcomes end-to-end and know how to build trust across both engineering and executive stakeholders. WHY JOIN? Compensation & Equity - Base salary $176K–$224K, OTE $220K–$280K - Performance-based variable compensation, paid quarterly - Meaningful equity in a fast-growing, well-funded startup — Series D at a $17.5B valuation Location - Remote-friendly with hubs in New York and San Mateo — flexibility to work from anywhere in the US with regular travel to enterprise customers Visa Sponsorship Details - Open to visa transfers (e.g. OPT, H1B transfers) - Open to visa sponsorships (e.g. new H1B, TN) Benefits - Comprehensive benefits package INTERVIEWING PROCESS - Recruiter/hiring manager screen (30 min): logistics, motivation, fit - Take-home (5 days): build a working text-to-SQL system - Culture + live coding (45 min): product discussion, extend your code live - Discovery + hiring manager (45 min): live discovery role-play - Executive conversation (30 min): short demo + values discussion We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: Athens Are you an experienced DevOps Engineer looking for your next career opportunity? The Wallet Area within Product Development is now hiring! THE WOW You will be part of preparing our journey to containerization, improved delivery via cloud deployment, increasing the scalability of our systems while also maintaining their high quality. To accommodate new requirements, we are constantly re-evaluating our systems design and working on exciting new features. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 25+ online brands! Our brands are used by hundreds of thousands of users and growing To sum it up: you will be taking our Wallet platform to a new level! A taster of what you will be involved with: Working with cutting edge technology enabling our Cloud Journey The DevOps Engineer for our Wallet Department will be responsible for supporting development teams (both Backend and Frontent focused), and will be instrumental in enhancing CI/CD pipelines, improving monitoring and observability, and supporting & maintaining other custom infra solutions. Take ownership of CI/CD pipelines, guiding developers to improve automation, reliability, and test coverage. Lead the migration from Octopus to GitHub Actions and foster a culture of developer-led deployment Design and evolve monitoring systems with Prometheus/Grafana (or future alternatives), integrating observability into CI/CD workflows. Ensure robust tracing, logging, and metrics correlation across services. Support and extend custom-built infrastructure components to handle increased traffic and complex routing. Collaborate with frontend and backend teams to ensure performance, scalability, and security. Work closely with all Wallet teams and DevOps engineers focused on infrastrucutre and operations. Provide tooling and guidance to developers across environments. What we're looking for: Experience with GitHub Actions and Octopus; strong focus on deployment automation, speed, reliability, and test coverage. Ability to guide developers and foster ownership of CI/CD workflows. Proficiency with Prometheus/Grafana; capable of building dashboards, improving alerting, and integrating monitoring into CI/CD. Understanding of observability practices including tracing, logging, and metrics correlation. Experience with custom-built NGINX setups; able to extend routing rules to support increased traffic and complex routing needs. Strong knowledge of AWS (EC2, ALB, VPC, EKS); experience managing infrastructure using Terraform and modules. Proven experience setting up and managing Kubernetes clusters, ideally with AWS EKS and Rancher RKE. Ability to write scripts in Python, Bash, PowerShell or similar for automation and tooling. Proficient in Git and versioned source control practices. Support build and deployment processes for both backend (.NET) and frontend (JavaScript/TypeScript, StencilJS) applications, ensuring smooth CI/CD integration and performance monitoring Strong cross-functional collaboration skills; able to work with Gaming teams and Infra/Ops DevOps engineers. Solid understanding of DevOps culture and ITIL best practices. Problem-solving mindset with ability to resolve complex technical issues efficiently. Excellent problem-solving skills, with the ability to analyze complex technical issues and provide effective solutions in a timely manner. Act as a technical enabler for development teams, providing tooling, guidance, and support across environments. Champion DevOps best practices and empower teams to take ownership of their delivery pipelines Who We Are Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers! What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson. Challenge accepted? Check out the Betsson Group Blog to find out what our employees are talking about If you are interested to learn more, please apply with your CV in English. By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Bengaluru, Karnataka, India, APAC 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 Sr Software Engineer to join the Platform Ops team (Platform Engineering) and enable developer productivity by building and improving developer tooling and environments, and by improving other productivity tools around observability. Our team builds the shared systems and workflows engineers rely on every day—internal developer environments and self-serve tooling that makes the recommended way to ship changes the easiest way. This is a platform tooling role with a focus is on reusable capabilities and self-service workflows adopted across teams. You’ll also help develop AI-based workflows for productivity and efficiency, including automation that improves infrastructure operations (for example, faster triage, automated runbook steps, and better self-service for common issues). You’ll prioritize the highest-impact problems by looking at where time is being lost today (slow builds, flaky tests, manual release steps, repetitive operational work) and turning that into concrete projects. You’ll set clear success metrics up front and use them to guide design decisions and rollouts. Expect to partner closely with engineering teams to drive adoption, document changes, and iterate based on feedback. You’ll drive cross-team work across internal tooling, developer environments, observability, and reliability, focusing on measurable improvements (for example: shorter lead time, fewer incidents, and faster recovery). You’ll add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP). Over time, you’ll own medium-sized projects end-to-end: identify the highest-friction workflows with partner teams, build and ship improvements, roll them out safely, and iterate based on adoption and measurable outcomes (for example: faster builds, fewer flaky tests, shorter time to debug, and less operational toil). You’ll collaborate closely with Platform Engineering, Release Engineering, Security, and product engineering teams to make improvements that are easy to adopt and maintain. What You’ll Do Build internal tools and services in Python and/or Go Build tooling for our internal developer platform (self-service workflows, shared patterns, developer-facing interfaces) Add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP) Develop AI-based workflows that improve developer experience and reduce repetitive manual work, including efficiency gains in infrastructure operations Improve developer feedback loops through better observability (metrics/logs/traces), making failures easier to diagnose Automate common engineering workflows (scaffolding, environment setup, releases, operational runbooks) Improve observability for platform services (metrics, logs, traces) to make issues easier to detect and debug Integrate tools into existing workflows (CLI, Slack, GitHub, dashboards) where it reduces time-to-resolution Participate in on-call/incident response as needed and drive follow-up automation to prevent repeat issues Skills We’re Looking For Professional software engineering experience in Python and/or Go Experience building developer productivity tooling (CI systems, build tooling, developer portals, workflow automation) Experience with at least one cloud provider ( AWS , Azure , or GCP ) Strong fundamentals: testing, code review, debugging, and operating production services Ability to work effectively in a remote, cross-team environment You'll have an edge if you have: Kubernetes experience Infrastructure-as-code (Terraform/OpenTofu), including reusable modules and safe state management #LI-HYBRID #LI-JI1 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: EMEA About the team The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for an experienced, hands-on security practitioner, who will drive the adoption of modern security processes and tooling, with focus on supporting our engineering and product teams in improving the security posture of our platforms and services. What you will do: - Identify security gaps and vulnerabilities in all ClickHouse offerings triage a wide range of vulnerabilities reported via our bug bounty program, responsible disclosure, GitHub Issues covering web, API and server - client assets including low level memory issues like heap or buffer overflows - Improve and develop security assurance activities - pentests, vulnerability assessments, bug bounty programs, fuzzing - Plan and execute internal red team assessments and penetration tests against ClickHouse infrastructure, cloud environments, designing realistic adversary scenarios to test detection, response and control effectiveness - Assess AI/LLM-specific attack surface across ClickHouse's own AI-powered features and internal AI tooling, including prompt injection, model/data exfiltration, and unsafe agentic tool-use patterns - Build and operate agentic tooling for reconnaissance, exploit-chaining and attack-path discovery, and apply LLM-assisted fuzzing to accelerate vulnerability discovery across ClickHouse's products and infrastructure - Partner with detection engineering to validate and improve detection coverage during red team exercises, measuring and reporting on control effectiveness and time to detect/respond - Handle information security events and incidents across ClickHouse products and services - Develop processes, tooling and automation to scale security processes and mitigate risks to the business What you bring along: - 7+ years of experience in pentesting, red teaming and product security - Experience supporting engineering and product implementation efforts by performing threat assessments, assurance activities, advisory as well as, in some cases, implementation work across distributed systems covering web, API, client/server assets - Hands-on experience conducting offensive security engagements - internal red teaming, penetration testing and adversary simulation - across cloud, network and application environments - Ability to design adversary scenarios grounded in real threat intelligence (e.g. ransomware operators, supply chain attackers, insider threat) tailored to ClickHouse's risk profile as a multi-tenant cloud data platform - Strong written and verbal communication skills, with ability to translate attack chains into clear, actionable findings for engineering and leadership - Experience building or adapting agentic and LLM-assisted tooling for offensive security use cases (recon automation, exploit chaining, fuzzing harnesses), with judgment on where AI genuinely speeds up an engagement versus adds noise - Familiarity with AI/LLM-specific vulnerability classes and testing methodology - Strong knowledge of and experience with one or more cloud service providers (e.g. AWS, GCP, Azure), Kubernetes, Cilium - Experience implementing and operating engineering security tools and processes (e.g. static / dynamic code analysis, software composition analysis, SBOM, OWASP SAMM, client and network fuzzing tools) - Security as code mindset, with focus on solving problems with automation and scale in mind Bonus Points: - BS, MS, or PhD in Computer Science or related field - Previous contributions to open source projects - Security or cloud related certifications (AWS, GCP, Azure) - Previous experience in using AI security harnesses for pentesting purposes - Experience building or operating internal red team tooling and infrastructure from scratch, rather than relying solely on off-the-shelf frameworks - Offensive security certifications (e.g. OSCP, OSCE, OSEP, OSWE) PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Чего ждём от тебя Без этого не получится: - 5+ лет в ML/DS — опыт выкатывания моделей в прод и понимание практических аспектов - Уверенный Python: ООП, типизация, тесты - Классический ML: бустинги, валидация, понимание, где нейросеть избыточна, а где достаточно градиентного бустинга - Опыт с текстовыми нейросетевыми моделями: BERT-подобные трансформеры, LLM API, промпт-инжиниринг, eval-сеты - Практический опыт MLOps: пайплайны данных, оркестрация (Airflow, Kubeflow или аналоги), трекинг экспериментов - Инфраструктурный бэкграунд: Docker, CI/CD, Kubernetes, логирование и мониторинг — понимание высоконагруженных сервисов - Умение мыслить P&L: перевод метрик моделей (F1, ROC-AUC) в конверсии и деньги, защита технических решений перед бизнесом финансовыми аргументами - Опыт менторства или лидерства и желание этим заниматься

Задачи: — Разработка и поддержка backend-сервисов на Go. — Проектирование и реализация REST/gRPC API. — Работа с PostgreSQL, Redis и системами обмена сообщениями. — Интеграция с внешними сервисами и API. — Написание модульных и интеграционных тестов. — Оптимизация производительности и повышение надежности приложений. — Участие в код-ревью, обсуждении архитектуры и технических решений. Требования: — Опыт коммерческой разработки на Go от 2 лет. — Хорошее знание языка Go и его стандартной библиотеки. — Опыт работы с PostgreSQL и SQL. — Понимание принципов микросервисной архитектуры. — Опыт разработки REST API и желательно gRPC. — Знание Docker, Git и CI/CD. — Понимание принципов многопоточности, конкурентности и сетевого взаимодействия. Будет плюсом: — Опыт работы с Kubernetes. — Знание Kafka, RabbitMQ или NATS. — Опыт работы с облачными платформами AWS, GCP или Azure. — Понимание Domain-Driven Design и Clean Architecture

Location: Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Job responsibilities Red-blue confrontation drill Responsible for developing and executing penetration testing, red-blue confrontation, and practical attack and defense drills that simulate real attack scenarios, identifying potential security risks in enterprise networks, applications, cloud environments, work networks, and core business systems. Lead or participate in red-blue confrontation exercises to evaluate the defense team's ability in attack detection, alarm analysis, traceability analysis, emergency response, and recovery. Based on the real attack chain design exercise scenario, covering extranet breakthrough, web vulnerability exploitation, phishing entrance, privilege escalation, lateral movement, Data Discovery, privilege maintenance, and defense bypass stages. Combining the attack review results, promote the continuous optimization of security detection rules, response processes, asset governance, and security base lines. Attack Surface Analysis and Threat Research Identify enterprise network exposure, internet assets, cloud assets, APIs, supply chain components, and third-party access risks, evaluate attack paths, and provide mitigation recommendations. Monitor and collect threat intelligence, track vulnerability exploitation trends, APT attack methods, red team toolchain changes, and apply them to enterprise attack and defense exercises. Combining business scenarios to model attack paths and discover feasible attack chains from external exposure surfaces to core assets. Tracking AI-related security risks, including security issues in large-scale model applications, RAG systems, Agent systems, plug-in/tool calls, MCP services, AI code generation, and automated workflows. AI Security and Large Model Attack and Defense Responsible for the security evaluation of AI applications, intelligent agent systems, RAG Knowledge Base, AI Agent toolchain and model services within the enterprise. Research and verify large-scale model-related attack techniques, including Prompt Injection, Jailbreak, Indirect Prompt Injection, data leakage, unauthorized tool invocation, security risks caused by model illusions, RAG poisoning, vector library pollution, sensitive information leakage, etc. Design AI red team test cases and evaluation framework, and conduct security verification on model input and output, context isolation, permission control, tool call chain, and data access boundary. Participate in the construction of AI security protection plan, including prompt word security policy, content security detection, tool call permission constraints, sensitive data desensitization, audit tracking, Agent sandbox isolation and security evaluation benchmark construction. Explore the application of AI in red team automation, vulnerability analysis, attack path planning, PoC verification, and report generation, and promote the platformization, automation, and intelligence of attack and defense capabilities. Tool and platform development Develop and optimize Red Team-specific tools and scripts for vulnerability mining, information collection, privilege escalation, lateral movement, credential analysis, traffic disguise, defense bypass, and automated report generation. Study and validate new attack techniques, and simulate real threats in combination with enterprise business scenarios. Build or participate in the construction of automated security evaluation platform, integrated vulnerability scanning, audio fingerprint recognition, asset mapping, PoC verification, attack path analysis, AI Agent arrangement and other capabilities. Combining LLM/Agent technology to explore automated penetration testing, intelligent vulnerability verification, code security auditing, and red team task scheduling. Security evaluation and reporting Conduct security evaluations on critical business systems, internal networks, cloud environments, work end points, API services, and AI applications, and output detailed technical reports, attack paths, impact analysis, and repair recommendations. Output AI security evaluation reports for AI applications, including attack examples, risk levels, exploitable paths, data leakage risks, permission boundary issues, and governance recommendations. Assist in improving enterprise security protection mechanisms, promote optimization of WAF, EDR, SIEM, NDR, HIDS, zero trust, identity permissions, and log auditing capabilities. Transform attack and defense discovery into security detection rules, base line specifications, develop security requirements, and continuous governance mechanisms. XFN collaboration Collaborate with the blue team, security operation, infrastructure, R & D, algorithm, data, and business teams to complete attack review, vulnerability repair, detection rule optimization, and security capability building. Provide security support to other departments of the enterprise, including emergency response drills, development security consulting, AI application pre-launch security review, and security training. Participate in the security design review of AI applications and security products, and promote the advance of security capabilities in R & D, testing, and Pushonline. Job requirements Basic skills Proficient in basic knowledge of cyber security, including TCP/IP protocol, network architecture, identity authentication, access control, principles and configurations of common security devices. Proficient in common attack techniques and red team toolchains, such as Sliver, Cobalt Strike, NPS, Burp Suite, Metasploit, Nmap, Masscan, Frida, Impacket, etc. Familiar with mainstream operating systems Windows, Linux, macOS security mechanism, log system, permission model and common use. Familiar with common web frameworks, API architectures, microservice structures, containers, and security risks in Kubernetes environments. Offensive and defensive technical capabilities Proficient in penetration testing and red team processes, including information collection, vulnerability scanning, vulnerability exploitation, intranet penetration, privilege escalation, lateral movement, privilege maintenance, Data Discovery, and trace cleaning. Familiar with the working principles and adversarial methods of enterprise-level security products, including WAF, EDR, SIEM, NDR, HIDS, zero-trust gateway, bastion host, and identity authentication system. Possess independent vulnerability analysis and PoC writing capabilities, able to reproduce, verify, and assess the impact of public vulnerabilities and 0day/1day risks. Proficient in one or more programming/scripting languages, such as Python, Go, Bash, PowerShell, JavaScript, etc., with experience in tool development and automation platform construction. AI security capabilities Familiar with the basic architecture of large-scale model applications, familiar with technical forms such as Prompt, RAG, Embedding, vector databases, Agent, Function Calling, MCP, and plugin systems. Understand or practice AI security testing methods, including Prompt Injection, Jailbreak, RAG data poisoning, sensitive information leakage, unauthorized tool invocation, model output security, Agent permission escape, etc. Able to design security test cases for AI applications, evaluate model input/output, context isolation, data boundaries, permission control, and tool invocation chain risks. Experience in using AI to assist security work, including vulnerability analysis, code auditing, intelligence analysis, attack path planning, report generation, or automated testing. Familiar with AI application security governance ideas, including model call auditing, prompt word security, sensitive data protection, content security detection, permission minimization, and sandbox isolation. Experience requirements More than 5 years of experience in red team, penetration testing, security research, or offensive and defensive exercises. Candidates with experience in large-scale enterprise attack and defense drills, red-blue confrontation, HW/major support, cloud attack and defense, or intranet penetration are preferred. Candidates with experience in AI security, large-scale model security, intelligent agent security, automated penetration testing platform or security tool platform construction are preferred. Familiar with enterprise security construction system, able to promote defense capability, detection capability, and governance process optimization from an attack perspective. Other capabilities Priority will be given to those who hold security-related certifications such as ♀ P, OSCE, CISSP, CISP, CEH, CISSP, CCSP, etc. Possess strong document writing and expression abilities, able to output high-quality technical reports, review documents, attack chain analysis, and security construction plans. Possess good problem analysis ability, learning ability, teamwork ability, and stress resistance. Be sensitive to new technologies, new Attack Surfaces, and new tools, and be able to proactively research and share internally. Bonus points Familiar with Cloud Computing Platform security and cloud attack and defense technologies, such as AWS, Azure, GCP, Tencent Cloud, Alibaba Cloud, etc. Familiar with Kubernetes, containers, Service Mesh, CI/CD, DevSecOps and supply chain security. Possess experience in zero trust, secure operation, threat hunting, Attack Surface management, and vulnerability management platform construction. Familiar with MCP Server, AI Agent framework, RAG system, vector database, LLM API gateway, model security evaluation framework. Experience in Automated Red Team, AI Penetration Testing, Intelligent Vulnerability Verification, Agent Orchestration, Security Knowledge Base or Security RAG System Construction. Experience in vulnerability submission, CVE, technical articles, open source projects, topic sharing, or tool release in the security community. Familiar with security frameworks such as MITRE ATT & CK, OWASP Top 10, OWASP LLM Top 10, NIST AI RMF, etc. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Задачи: — Доставка результатов AI клиентам через веб-API и приложения. — Поддержка Python backend-сервисов в распределённой системе. — Разработка REST API. — Повышение покрытия unit-тестами, внедрение автоматизированного тестирования. — Улучшение общей стабильности системы, исследование отчетов об ошибках, исправление багов. — Регулярное обновление схемы базы данных. — Создание переиспользуемой и гибкой кодовой базы. — Взаимодействие с врачами и AI-учёными для построения моделей, связанных с клиническими процессами принятия решений. Требования: — Опыт разработки на Python от 2 лет. — Опыт проектирования веб-приложений и баз данных. — Навыки веб-программирования (FastAPI, REST, HTTP, TCP). — Опыт работы с SQL, запросами, проектированием баз данных, инструментами миграции. — Опыт работы с Linux и Docker. — Английский уровень B2 и выше. Преимущества: — Знание медицинских стандартов (DICOM, HL7). — Опыт облачного деплоя (GCP, AWS, Kubernetes). — Опыт с JavaScript. — Высокий уровень понимания алгоритмов машинного обучения и компьютерного зрения. — Формальное образование в области компьютерных наук. — Опыт разработки агентов. Условия: — Разнообразная и интересная работа с американскими и европейскими учёными и врачами. — Множество возможностей для роста и обучения. — Интересные задачи. — Ежемесячные бонусы. — Акции компании для сотрудников. — Полная занятость. — Гибкий график работы. Процесс собеседования: — Скрининг. — Техническое интервью (1.5 часа). — Интервью на соответствие корпоративной культуре.

Zalando — крупнейший онлайн-ритейлер в Европе с командой более 10 000 человек и оценкой компании более $9 млрд. Требования: — Опыт работы с React и TypeScript — Знание AWS и Kubernetes — Свободное владение английским языком Условия: — Помощь с релокацией — Работа в Берлине Компания основана Давидом Шнайдером и Робертом Генцем, в коллективе много русскоговорящих сотрудников.

Задачи: — Проектировать, разрабатывать, оптимизировать и поддерживать ETL процессы для загрузки данных из различных источников — Управлять потоковой обработкой данных с использованием Apache Kafka — Разрабатывать и оптимизировать структуры данных, схемы и запросы в PostgreSQL для операционных и транзакционных задач — Строить, администрировать и настраивать ClickHouse кластеры для обеспечения высокой производительности аналитических запросов на больших объемах данных — Разрабатывать и поддерживать решения на базе ClickHouse (или связки PostgreSQL + ClickHouse) — Интегрировать данные между PostgreSQL, Kafka, ClickHouse и другими компонентами инфраструктуры (API, очереди, S3) — Осуществлять мониторинг производительности, отказоустойчивости и безопасности data pipeline и баз данных — Автоматизировать процессы обработки данных и развертывания (CI/CD) — Взаимодействовать с аналитиками, разработчиками и product owner'ами для понимания потребностей в данных и их реализации — Устранять неисправности в pipeline данных и базах данных Требования: — Опыт работы с одним из языков программирования от 2-3-х лет: Python (предпочтительно), Golang (будет плюсом) — Опыт разработки и администрирования ClickHouse (знание особенностей движков таблиц, оптимизация запросов, кластеризация, репликация, шардирование) — Глубокое понимание и практический опыт работы с Apache Kafka, настройка и обеспечение надежности потоков данных — Опыт работы с PostgreSQL (написание сложных SQL-запросов, оптимизация производительности, понимание механизмов транзакций, репликации) — Понимание принципов построения ETL процессов — Знание SQL на продвинутом уровне — Понимание принципов DevOps (Docker, Kubernetes, Linux, CI/CD) применительно к инфраструктуре данных

Задачи: — Разработка и развитие backend-компонентов и микросервисов на Python (FastAPI, asyncio). — Разработка и развитие интеграционных решений для взаимодействия с внутренними и внешними сервисами посредством REST API. — Разработка и развитие компонентов, связанных с применением технологий Generative AI и AI-агентов. — Разработка и развитие высоконагруженных сервисов с использованием PostgreSQL, Redis и современных подходов к работе с данными. — Разработка и развитие асинхронных процессов обработки данных и механизмов обмена сообщениями. — Разработка и развитие решений по логированию, мониторингу и наблюдаемости сервисов. — Участие в проектировании архитектуры решений, проработке контрактов взаимодействия между сервисами и выборе технических подходов. — Участие в тестировании разрабатываемого функционала и обеспечении качества кода. — Взаимодействие с командой разработки, аналитиками, архитекторами и QA-инженерами при реализации задач проекта. Требования: — Опыт коммерческой разработки на Python от 3-4 лет. — Уверенное знание Python 3.9+. — Опыт разработки микросервисной архитектуры и REST API. — Практический опыт работы с FastAPI, asyncio, aiohttp или httpx. — Опыт работы с PostgreSQL, Redis, SQLAlchemy. — Понимание принципов асинхронного программирования. — Опыт контейнеризации приложений с использованием Docker и понимание основ Kubernetes. — Опыт проектирования и реализации интеграционных решений. — Опыт написания тестов (pytest, unittest, pytest-mock). — Знание подходов к логированию и мониторингу приложений. — Понимание принципов построения высоконагруженных систем. Будет преимуществом: — Опыт работы с LangChain, LangGraph, CrewAI или другими фреймворками для построения AI-агентов. — Опыт работы с локальными LLM (Llama, Qwen, DeepSeek, Ollama, vLLM). — Опыт работы в FinTech-проектах или понимание особенностей транзакционных систем. — Знание Kafka, RabbitMQ, Celery, APScheduler. — Опыт работы с MongoDB и векторными базами данных. — Понимание современных подходов к Observability (Prometheus, Grafana, Sentry, structlog). — Опыт использования AI-инструментов для повышения эффективности разработки. — Опыт участия в Open Source-проектах или наличие GitHub/GitLab-портфолио. Условия: — Стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования + квартальная премия по результатам KPI. — Возможность влиять на крупные проекты, которые важны миллионам пользователей. — Полную удалёнку или гибрид на выбор, а также уютный ИТ-хаб в Москве, Санкт-Петербурге, Екатеринбурге и сезонный коворкинг в Сочи. — Сложные и интересные задачи, современный стек технологий. — Заботу о вашем здоровье: программа ДМС с первых дней работы, куда входит стоматология, обслуживание в лучших клиниках города, страхование и компенсация 10-ти дней больничного. — Возможность вертикального и горизонтального карьерного роста: регулярно проходят тренинги, вебинары, митапы и демо-дни. — Оплату посещения профильных конференций и курсов, помощь с подготовкой к публичным выступлениям и написанием статей на Хабр. — Доступ к бесплатным корпоративным библиотекам Alpina Digital, MyBook и бизнес-изданий. — Предложения от Банка только для сотрудников: собственные спортзалы (Москва, Санкт-Петербург, Екатеринбург), а также скидки на услуги туристических агентств, продукты питания, в рестораны, бары, магазины. — Работа у трижды лучшего работодателя РФ по версии hh.ru, Forbes, РБК. — Программа развития AI-грамотности: треки по работе с нейросетями от базового до продвинутого уровня.

Задачи: — Участвовать в проработке архитектурных решений для запуска новых продуктов/проектов, взаимодействуя с менеджерами, аналитиками, разработчиками и тестировщиками — Заливать новые фичи в develop — Проводить Code Review и помогать коллегам избегать ошибок в продакшене — Покрывать тестами каждую задачу — Исправлять баги, если тесты их не выявили — Обеспечивать интеграцию решений в процесс CI/CD — Поддерживать высокую отказоустойчивость и производительность продакшена — Выполнять разнообразные задачи: от мелких правок API до создания новых сервисов Требования: — Опыт разработки на Java не менее года, использование Java 17 и выше — Умение работать в команде, знание гибких методологий Scrum/Kanban — Знание систем автоматизации сборок Maven/Gradle, опыт работы с Gitlab CI/Jenkins — Навыки подготовки Docker образов и знакомство с Kubernetes — Знание паттернов проектирования и System Design — Базовые знания Linux и уверенное использование Git

Задачи: — Разработка и развитие кода по принятым общебанковским/командным стандартам. — Обеспечение качества кода и полноты реализации требований. — Проработка задач: уточнение требований, анализ рисков, декомпозиция, оценка, согласование ожидаемого результата. — Самостоятельное ведение задач от согласованного решения и до запуска в промышленной среде. — Выполнение PoC и R&D работ для проверки подходов в рамках конкретной задачи/сервиса. — Участие в разборе проблем в промышленной среде совместно с командой сопровождения. — Поиск и устранение дефектов и проблем производительности (в том числе по результатам нагрузочного тестирования). — Взаимодействие со смежными командами по интеграциям и техническим вопросам. — Участие в ведении технической документации по проекту; технические консультации. Требования: — Общий стаж коммерческой разработки на Java от 4 лет. — Уверенные навыки разработки потоковых сервисов (на Kafka / Kafka Streams). — Опыт работы с объектными хранилищами (MinIO, S3). — Опыт работы с SQL БД (Oracle, PostgreSQL, YDB). — Опыт работы с Kubernetes (понимание базовых сущностей, умение диагностировать проблемы развёртывания и конфигурации приложений). — Опыт работы с инструментами контейнеризации и понимание CI/CD на уровне пользователя. — Опыт работы с REST/SOAP/gRPC. — Уверенные навыки работы с Git. — Опыт разработки высоконагруженных систем. — Опыт применения принципов проектирования и архитектурных паттернов. — Поддержание чистого и читаемого кода, обязательное участие в code review, покрытие изменений unit- и интеграционными тестами. — Будет плюсом: опыт работы с Apache Flink, опыт работы в банковской сфере. Условия: — Стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования + квартальная премия по результатам KPI. — Возможность влиять на крупные проекты, которые важны миллионам пользователей. — Полную удалёнку или гибрид на выбор, а также уютный ИТ-хаб в Москве, Санкт-Петербурге, Екатеринбурге и сезонный коворкинг в Сочи. — Сложные и интересные задачи, современный стек технологий. — Заботу о вашем здоровье: программа ДМС с первых дней работы, куда входит стоматология, обслуживание в лучших клиниках города, страхование и компенсация 10-ти дней больничного. — Возможность вертикального и горизонтального карьерного роста: регулярно проходят тренинги, вебинары, митапы и демо-дни. — Оплату посещения профильных конференций и курсов, помощь с подготовкой к публичным выступлениям и написанием статей на Хабр. — Доступ к бесплатным корпоративным библиотекам Alpina Digital, MyBook и бизнес-изданий. — Предложения от Банка только для сотрудников: собственные спортзалы (Москва, Санкт-Петербург, Екатеринбург), а также скидки на услуги туристических агентств, продукты питания, в рестораны, бары, магазины. — Работа у трижды лучшего работодателя РФ по версии hh.ru, Forbes, РБК. — Программа развития AI-грамотности: треки по работе с нейросетями от базового до продвинутого уровня.

Workplace: fully Role Overview We're building a new engineering team at Ethena to own the Ethena Pay product. A neobanking experience app built on top of our stablecoin infrastructure. You'll take the technical and people leadership of that team, shaping the architecture, setting the engineering bar, hiring the people around you, and shipping the hardest parts yourself. This is a hands-on player-coach role, not a hands-off manager seat. While the team is small, you'll spend most of your week writing and shipping production code — you'll be one of the strongest individual contributors on the team, take the most critical work yourself, and review everyone else's. Leadership, architecture, and hiring sit on top of that, not in place of it. As the team grows the balance shifts toward leadership, but coding stays a standing part of the job. It's a rare combination: the scope and autonomy of an early-stage build — you own the architecture, shape the team, and decide how it works — with the backing, treasury, and distribution of one of the largest companies in stablecoins behind you. Role Responsibilities Write and ship production code most days as one of the team’s top ICs, taking on the hardest and most critical-path work and unblocking the team members you’re responsible for. Own the architecture. Hold the whole system in your head — services, money-paths, data model, infrastructure, on-chain settlement — and make the design calls that keep it correct, legible, and extensible as it scales. Build the team. Run a rigorous, humane hiring loop; raise the bar; onboard new engineers with real plans; grow a small senior team that works in the open. Set and hold a high engineering bar. Non-author review on money paths, CI required to merge, small PRs, disciplined testing (TDD / BDD as the default, not an afterthought), always-on automated review, idempotency and correctness treated as non-negotiable. Establish safe, effective agentic-development practices as the team's default. Own the delivery cadence. Run a tight, high-velocity delivery process — sprints or kanban, whatever fits the team — with predictable, versioned releases, a healthy backlog, and short lead time from idea to production. Ship fast without lowering the bar. Make it reliable. Drive real production alerting, an on-call rotation that pages a human, tested runbooks, and incident response — so the team can build, ship, and run the product with confidence. Required Skills and Experience You've led engineering for a consumer money product — a neobank, payments, or crypto money app - where a bug moves or loses real customer money. You owned an engineering function where correctness had genuine financial stakes. You've led a small team (~3–8) while still shipping code yourself — tech lead, staff, or hands-on engineering manager. You've shipped production code within the last year; this is not a management-ladder-only background. You've owned production operations for a money system — on-call, real incidents, observability, secret and key hygiene — not just delegated it. You can name incidents you personally drove to resolution. You've owned, or overseen the integration of, regulated third-party financial rails — at least two of: card issuing / BIN-sponsor programs (Marqeta, Lithic, Kulipa, Stripe Issuing), identity / KYC / onboarding (SumSub, Persona, Onfido), banking or fiat on-/off-ramp partners (a BaaS or ramp partner), and key custody / signing (cloud KMS, HSM, MPC, or multisig). You run a high-velocity, disciplined delivery process. You've led a team that ships fast and predictably in an agile setup — sprints or kanban, versioned releases, short lead time to production — without trading away quality. Test-driven and behaviour-driven development are how you build, not box-ticking. You're agent-native. You wield agentic development — coding agents (e.g. Claude Code), MCP servers, reusable skills — as a core multiplier, with a real point of view on adopting it safely on a money product. Fluent, not a dabbler; you know the failure modes and verify output. Technical breadth to lead this team You'll lead engineers across backend, platform, and mobile, and set the standard each is built to. You must be deep in backend / distributed systems and genuinely literate across the rest — enough to review the work and make the architecture call in each: Backend & payments correctness (your core). Strong TypeScript / Node (or a credible senior path from Go / Kotlin / Java); you think natively in idempotency, reconciliation, retries, and consistency under partial failure, across event-driven services and Postgres. Client-facing APIs & auth. The app-facing API as a product — versioning, idempotency keys, a clean error model — plus the auth backend behind it (OAuth2 / OIDC, session lifecycle, WebAuthn / passkeys). Platform & reliability. Enough Kubernetes, IaC, and observability (OTel / Grafana-class) to own the deploy/rollback story and hold the reliability bar — you know the difference between a dashboard that exists and an alert that pages. Native mobile. Enough to review a native iOS app (Swift / SwiftUI) and reason about mobile ↔ backend contracts, failure states, and on-device auth.

Задачи: — Разработка и поддержка высоконагруженных сервисов на Go. — Проектирование и внедрение новых модулей с упором на производительность и качество. — Оптимизация существующих решений, развитие текущей инфраструктуры. — Участие в код-ревью и поддержание стандартов разработки. Требования: — 4+ лет коммерческой разработки на Go. — Опыт работы с MySQL, MongoDB, ClickHouse, NATS, Redis. — Знание REST API, RPC, WebSockets. — Профильное образование, сильная техническая база. — Понимание и применение основных паттернов проектирования. — Самостоятельность, ответственность за полный цикл решения задач. Будет плюсом: — Опыт работы с Git, Jira, Linux. — Навыки работы с Swagger, AWS, Docker, Kubernetes, Pprof. Условия: — Полностью удалённый формат работы, гибкий график. — Выплаты 2 раза в месяц в валюте или USDT в вилке от 4000$. — Отпуск 28 календарных дней, больничный и праздники оплачиваются. — Годовой пересмотр зарплаты и премии по результатам работы. — Занятия английским с носителем. — Корпоративный психолог. — Компенсация затрат на медицину.

Задачи: - Разработка и развитие backend-компонентов и микросервисов на Python (FastAPI, asyncio). - Разработка и развитие интеграционных решений для взаимодействия с внутренними и внешними сервисами посредством REST API. - Разработка и развитие компонентов, связанных с применением технологий Generative AI и AI-агентов. - Разработка и развитие высоконагруженных сервисов с использованием PostgreSQL, Redis и современных подходов к работе с данными. - Разработка и развитие асинхронных процессов обработки данных и механизмов обмена сообщениями. - Разработка и развитие решений по логированию, мониторингу и наблюдаемости сервисов. - Участие в проектировании архитектуры решений, проработке контрактов взаимодействия между сервисами и выборе технических подходов. - Участие в тестировании разрабатываемого функционала и обеспечении качества кода. - Взаимодействие с командой разработки, аналитиками, архитекторами и QA-инженерами при реализации задач проекта. Требования: - Опыт коммерческой разработки на Python от 3-4 лет. - Уверенное знание Python 3.9+. - Опыт разработки микросервисной архитектуры и REST API. - Практический опыт работы с FastAPI, asyncio, aiohttp или httpx. - Опыт работы с PostgreSQL, Redis, SQLAlchemy. - Понимание принципов асинхронного программирования. - Опыт контейнеризации приложений с использованием Docker и понимание основ Kubernetes. - Опыт проектирования и реализации интеграционных решений. - Опыт написания тестов (pytest, unittest, pytest-mock). - Знание подходов к логированию и мониторингу приложений. - Понимание принципов построения высоконагруженных систем.