Lead Engineer - Python/Golang

<p><p>Our client is a hyderabad based startup and they are looking to hire a Lead Engineer - Python.<br/><br/><b>Key Responsibilities :</b></p><p><br/>- Design and implement scalable backend services and APIs in Python or Go<br/></p><p><br/></p><p>- Build and maintain high-performance systems and data pipelines that power core product features<br/></p><p><br/></p><p>- Write clean, testable, modular code that scales and is easy to maintain<br/></p><p><br/></p><p>- Collaborate with DevOps, platform, and product teams to ensure seamless integrations<br/></p><p><br/></p><p>- Participate in system design, code reviews, and architecture planning sessions<br/></p><p><br/></p><p>- Leverage and contribute to open-source tools and components<br/></p><p><br/></p><p>- Troubleshoot, debug, and optimize distributed systems for performance and reliability<br/></p><p><br/></p><p>- Help define and evolve foundational platform building blocks<br/><br/><b>Requirements :</b><br/></p><p><br/></p><p>- 4-8 years of experience building backend systems or platform services<br/></p><p><br/></p><p>- Strong command of Python (experience with Go is a big plus)<br/></p><p><br/></p><p>- Proven ability to design, build, and scale robust APIs and backend infrastructure<br/></p><p><br/></p><p>- Solid understanding of system design principles and distributed systems<br/></p><p><br/></p><p>- Proficient in SQL and working with data-centric applications<br/></p><p><br/></p><p>- Comfortable working in containerized environments (Docker, Kubernetes)<br/></p><p><br/></p><p>- Experience with modern development practices (CI/CD, testing, version control)<br/><br/><b>Good to Have :</b><br/></p><p><br/></p><p>- Experience with event-driven architectures and asynchronous systems<br/></p><p><br/></p><p>- Familiarity with gRPC, GraphQL, or modern API protocols<br/></p><p><br/></p><p>- Exposure to cloud-native platforms (AWS, GCP, or Azure)<br/></p><p><br/></p><p>- Open-source contributions or a strong GitHub profile<br/></p><p><br/></p><p>- Hands-on work with data warehouses, data lakes, or modern data platforms<br/></p><p><br/></p><p>- Building developer-facing tools or internal platform services</p><br/></p> (ref:hirist.tech)