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Lead Backend Engineer
ГибридПолная занятостьBackend DevelopmentFinancial Services
Lead the design and development of scalable backend services, AI-powered internal tools, and developer platforms. Shape architecture and technical strategy, guide complex initiatives from design through production, and mentor engineers across teams. The role is hands-on and may develop into people管理
Обязанности
- Design and develop scalable backend services and core platform capabilities
- Build AI-powered internal tools and standardized backend infrastructure
- Set technical strategy and best practices for AI-enabled engineering solutions
- Lead complex initiatives from design through production with cross-functional teams
- Conduct architecture and code reviews while mentoring engineers
- Define engineering processes, execution plans, and technical approaches
- Build platforms, frameworks, and infrastructure that improve engineering productivity
- Evaluate emerging AI technologies and identify practical development workflow improvements
Требования
- 8+ years of backend software engineering experience with a bachelor's degree, or 6+ years with a master's degree
- Experience leading complex technical initiatives and mentoring engineers
- Strong Python development skills and deep distributed systems expertise
- Experience building scalable cloud systems, APIs, databases, and production services
- Experience with AI development tools such as GitHub Copilot, Cursor, ChatGPT, or Claude
- Understanding of LLM application architectures, including prompt management, structured outputs, tool calling, agentic frameworks, and semantic routing
- Experience with vector databases, event streaming platforms, and modern AI frameworks
- Ability to evaluate AI solutions for scalability, security, privacy, latency, reliability, maintainability, and cost
- Strong communication and cross-team technical influence
Будет плюсом
- Experience with CI/CD, infrastructure as code, observability, and production operations
- Experience in fintech, banking, payments, compliance, fraud, or other regulated environments
- Experience with big data technologies
- Background in data science, machine learning engineering, or MLOps
Условия и преимущества
- Group health coverage
- Stock options
- Flexible hybrid work model
- Study fund contribution
- Monthly meal card
- Free parking
- Free gym membership
- Mental health benefits
- Paid time off and holidays
- Community volunteering opportunities