Technical Lead

Who you are

• 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
• 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
• Production Engineering Experience: Proven track record building, scaling, and monitoring production-grade backend and infrastructure applications
• 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
• Database Expertise: Deep hands-on experience with relational databases (specifically PostgreSQL), including query optimization, index tuning, high-concurrency performance tuning and data modelling
• Hands-on experience with Kubernetes management, deployment, and container orchestration
• 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
• Experience architecting or migrating legacy batch systems to real-time streaming data pipelines
• Foundational knowledge or practical experience integrating Artificial Intelligence / Machine Learning models into production data workflows

What the job involves

• Join Corsearch as Tech Lead: guide a talented team, scale real-time data infrastructure, and shape AI-powered systems that help protect brands and consumers worldwide
• 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
• 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