Backend Lead - Hands-on Tech Lead

Аналитика рынка

Стек

Откликнуться

Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.

Описание

Job Description International fast-growing IT company StellarTech is looking for a Backend Lead - Hands-on Tech Lead / Player-Coach. StellarTech is a fast-growing international product technology company looking for a Backend Lead to own the technical direction, engineering quality, and operational health of our backend ecosystem. This is a hands-on player-coach role combining backend architecture, technical execution, engineering leadership, and people management. You will lead a small team of experienced backend engineers while remaining actively involved in technical design, critical implementation, code reviews, production troubleshooting, and technical research. You will work in a cross-functional product environment and take responsibility not only for backend implementation, but also for product delivery, reliability, and long-term technical sustainability. What You’ll Do: Own the backend technical direction and architecture across our product ecosystem. Translate product initiatives into technical solutions: clarify requirements, assess feasibility, identify risks, prepare technical designs, and decompose work for the team. Own the complete engineering lifecycle from refinement and solution design to implementation, release, monitoring, and production improvements. Design scalable, reliable, and maintainable backend solutions aligned with product and business needs. Build and evolve shared backend capabilities, reusable components, and platform solutions that allow the company to launch and scale multiple products efficiently. Define service boundaries, data ownership, APIs, integration patterns, and communication between systems. Make and defend pragmatic architectural decisions, including: Monolith vs services. Synchronous vs asynchronous communication. SQL vs NoSQL. Build vs buy. Short-term delivery vs long-term technical sustainability. Remain hands-on with Python and FastAPI through critical implementation, prototyping, debugging, code reviews, and technical research. Lead the design of event-driven and asynchronous workflows, including retries, idempotency, ordering, failure handling, and message processing. Own backend production readiness and operational health, including monitoring, logging, alerting, dashboards, SLIs/SLOs, runbooks, incident response, root-cause analysis, and post-incident improvements. Establish clear ownership of backend services and ensure the team can support them without dependency on individual engineers. Improve engineering practices covering refinement, technical design, Definition of Done, testing, code review, CI/CD, release safety, documentation, and technical debt management. Introduce and scale AI-assisted and agentic development workflows across the backend team. Evaluate how AI tools affect delivery speed, engineering quality, maintainability, and team productivity. Lead and develop backend engineers through delegation, regular feedback, one-to-one meetings, mentoring, performance reviews, and career development. Collaborate closely with Product, Platform, DevOps, QA, Frontend, and other engineering leads. Take responsibility for product and business outcomes, not only technical implementation. What We’re Looking For: 7+ years of backend engineering experience. 2+ years of experience in a Tech Lead, Team Lead, or Backend Lead role. Strong and recent hands-on production experience with Python, ideally 5+ years. Strong knowledge of modern Python backend development practices. Production experience with FastAPI or similar Python web frameworks. Experience with asynchronous programming, testing, typing, profiling, debugging, and maintainable application design. Proven experience owning backend architecture end to end, not only contributing to solutions designed by others. Experience making and defending architectural decisions with Product, Engineering, and business stakeholders. Experience building and operating scalable, high-load, or data-intensive production systems. Strong understanding of service design, system boundaries, data flows, integrations, and distributed system trade-offs. Strong experience with event-driven systems, asynchronous processing, and message brokers such as Kafka, RabbitMQ, SQS, or similar. Good understanding of retries, idempotency, message ordering, delivery guarantees, dead-letter handling, and failure recovery. Strong database fundamentals, including: Data modelling. Transactions and isolation. Indexing. Locking and concurrency. Query plans. Performance diagnosis and optimisation. Production experience with MongoDB and an understanding of its modelling, consistency, and scaling trade-offs. Production experience with relational databases, preferably PostgreSQL. Experience designing APIs and integrating external platforms, third-party services, and payment or subscription systems. Strong production ownership mindset, including monitoring, alerting, debugging, incident investigation, and reliability improvements. Experience with cloud infrastructure, containerised applications, deployment tooling, and CI/CD. Ability to reason about deployment safety, rollbacks, scalability, resource limits, and system capacity. Proven experience improving an engineering process, technical area, or system from an unclear or immature state to a measurable target state. Ability to balance product delivery speed with architecture quality and long-term maintainability. Experience leading experienced engineers without micromanagement. Experience with delegation, performance feedback, team development, and technical ownership distribution. Strong ownership, initiative, structured communication, and ability to make decisions under uncertainty. AI-First Engineering Experience: We are looking for more than occasional chatbot usage or basic code generation. A strong candidate should be able to provide concrete examples of using AI in an end-to-end software delivery workflow, such as:

Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.