Backend Tech Lead (Product Infrastructure)

Corsearch; Greater London; On-site; GBP 120,000 - 150,000; Full time

Job summary

Corsearch is seeking a Tech Lead to guide and scale our Product Infrastructure team in Greater London. You will lead a team of 3–5 engineers, shaping architecture for real-time data pipelines and managing production-grade infra, including Kubernetes on AWS.

You will mentor engineers, drive migration from legacy batch tasks to streaming systems, and own PostgreSQL performance and data modelling under heavy load. Strong collaboration with product and data science teams is essential.

Qualifications

• Strong track record leading 3–5 engineers.
• Experience migrating batch to streaming pipelines.
• Hands-on PostgreSQL performance tuning.
• Proven cloud and Kubernetes administration experience.
• Excellent communication with non-technical stakeholders.

Responsibilities

• Lead ingestion pipeline modernization from batch to real-time.
• Mentor and manage 3–5 engineers, set roadmaps.
• Own infra architecture including AWS/Kubernetes.
• Optimize data pipelines and databases.
• Collaborate with product and data science teams.

Skills

Leadership

Python

Kubernetes

AWS

PostgreSQL

Data Pipelines

Go/Java/C++

Mentoring

Communication

SQL

Tools

ClickHouse

Grafana

Kubernetes

AWS

Python

CI/CD

Job description

• 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