Backend Tech Lead — Product Infrastructure at corsearch.teamtailor.com – Paris | Jobyssey

At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.

As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.

Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

Why Choose Corsearch?

Innovative Solutions: We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
Global Impact: Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
Collaborative Culture: With a team of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives thrive.
Mission-Driven Purpose: Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.

✅The Role

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.

✅Responsibilities and Duties

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.

✅Essential

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.

✅Desirable

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.

Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.

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