Backend Tech Lead (Product Infrastructure)

• We are looking for a Tech Lead to guide and scale our Product Infrastructure team
• In this role, you will lead a team of 3–5 engineers while remaining closely involved in technical architecture and execution
• Our team sits at the critical intersection of raw data collection and product utility
• We focus heavily on infrastructure support, scalability, and service provisioning—ensuring data flows seamlessly from upstream scrapers, refines through our AI models, and lands reliably in our production application
• If you enjoy driving technical strategy, optimizing high-throughput data pipelines and databases, and stepping up to mentor and manage a high-performing engineering team, this is the role for you
• People & Project Leadership: Manage, mentor, and support a core team of 3–5 engineers. Drive project planning, sprint execution, and technical delivery while fostering technical growth and team performance
• Ingestion Pipeline Architecture: Lead and accelerate our strategic migration from legacy daily batch tasks to a high-throughput, real-time stream processing ingestion pipeline
• Infrastructure & Database Optimization: Oversee infrastructure scaling (including our growing adoption of Kubernetes on AWS) and take technical ownership of PostgreSQL performance, index tuning, and database consistency under heavy load
• Automation & AI Integration: Partner with Product Engineering to evolve our real-time auto-moderation pipeline and integrate AI/ML models into our core data workflows
• Observability & Incident Automation: Leverage our observability stack (powered by ClickHouse and Grafana) to automate incident investigation, drive performance improvements, and rapidly resolve critical bugs
• Stakeholder & Roadmap Alignment: Work closely with cross-functional squads, product managers, and engineering leaders to translate business objectives into clear technical roadmaps and execution plans

Database Expertise: Deep hands‑on experience with relational databases (specifically PostgreSQL), including query optimization, index tuning, high-concurrency performance tuning and data modellingLeadership & 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 reportsCloud & Systems Infrastructure: Solid understanding of cloud computing concepts with hands‑on experience in AWSProduction Engineering Experience: Proven track record building, scaling, and monitoring production‑grade backend and infrastructure applicationsHands‑on experience with Kubernetes management, deployment, and container orchestrationCore 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 forwardCommunication & Collaboration: Outstanding communication skills with a proven ability to bridge complex technical execution with non‑technical business stakeholdersExperience architecting or migrating legacy batch systems to real‑time streaming data pipelinesFoundational knowledge or practical experience integrating Artificial Intelligence / Machine Learning models into production data workflows

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