Backend Tech Lead (Product Infrastructure)

Join our team as a Backend Tech Lead (Product Infrastructure) where you will guide and scale our Product Infrastructure team. You will lead a team of 3-5 engineers while remaining closely involved in technical architecture and execution. Your focus will be on infrastructure support, scalability, and service provisioning, ensuring seamless data flow from upstream scrapers to our production application. You will also oversee infrastructure scaling, database optimization, automation, and AI integration. This role requires strong leadership and mentorship skills, hands-on experience with Kubernetes and cloud computing, and expertise in relational databases.

• Lead and mentor a team of 3-5 engineers, driving project planning, sprint execution, and technical delivery.
• Oversee infrastructure scaling, including the adoption of Kubernetes on AWS, and take technical ownership of PostgreSQL performance.
• Collaborate with cross-functional teams to translate business objectives into clear technical roadmaps and execution plans.
• Leadership & Mentorship: Direct people management experience OR a strong background in technical leadership, mentoring engineers, or leading project virtual teams (v-teams), with the desire and capability to step into managing 3–5 direct reports
• Hands-on experience with Kubernetes management, deployment, and container orchestration
• Production Engineering Experience: Proven track record building, scaling, and monitoring production-grade backend and infrastructure applications
• Cloud & Systems Infrastructure: Solid understanding of cloud computing concepts with hands-on experience in AWS
• Communication & Collaboration: Outstanding communication skills with a proven ability to bridge complex technical execution with non-technical business stakeholders
• Database Expertise: Deep hands-on experience with relational databases (specifically PostgreSQL), including query optimization, index tuning, high-concurrency performance tuning and data modelling
• Core Language Proficiency: Python is our primary backend language. We welcome candidates with strong experience in other core languages (Go, Java, C++, etc.), provided you are fully motivated to develop primarily in Python moving forward
• Foundational knowledge or practical experience integrating Artificial Intelligence / Machine Learning models into production data workflows
• Experience architecting or migrating legacy batch systems to real-time streaming data pipelines