Backend Team Leader
As a Backend Team Lead, you will : Lead a team of backend engineers building a new, scalable infrastructure-oriented product from the ground up Own the product’s technical direction, architecture, design and lifecycle Take a central role in transforming a complex existing system into a modern, modular and scalable platform Design and build robust production-grade backend services with strong focus on scalability, reliability and maintainability Establish sound engineering practices around code quality, automated testing, observability and production readiness Work closely with research, product, architecture, DevOps, QA and automation teams Mentor and develop engineers while maintaining a high technical bar and ownership culture If you have : 6+ years of software development experience, with strong backend engineering experience 2+ years of experience leading a software engineering team or acting as a hands-on technical lead Hands-on experience in at least one modern backend programming language such as Python, Java, Go or similar Proven experience designing and building complex backend systems or distributed systems Comprehensive understanding of system architecture, APIs, concurrency, asynchronous processing, state management and service boundaries Track record of designing scalable and resilient systems, including retries, fault handling, idempotency and recovery mechanisms Experience with SQL and NoSQL databases and deep understanding of data modeling and persistence strategies Hands-on experience with Docker and containerized applications Ability to build and operate services in Kubernetes environments Extensive understanding of observability concepts including logs, metrics, tracing, monitoring and production troubleshooting Expertise in automated testing, including integration and end-to-end testing It would be great if you also have : Experience modernizing or migrating complex legacy systems Experience with Python and working closely with research or algorithm-oriented teams Understanding of Java and large-scale Java backend systems Background in building infrastructure platforms, orchestration systems, schedulers, workflow engines or large-scale distributed processing systems Knowledge of high-concurrency or high-throughput systems Familiarity with message brokers, event-driven architectures or distributed queues Practical knowledge of Kubernetes-native architecture, GitOps and modern CI/CD practices Experience decomposing large monolithic systems into modular or service-oriented architectures
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