2 месяца назад
Backend Tech Lead — Product Infrastructure (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Tech Lead — Product Infrastructure (Python): Scaling real-time data infrastructure that moves data from upstream scrapers through AI models into production applications with an accent on high-throughput ingestion, database performance, and Kubernetes-based cloud systems. Focus on migrating batch processing to streaming pipelines, integrating AI/ML workflows, automating incident investigation, and leading a team of 3–5 engineers.
Location: France — Hybrid
Company
provides AI-powered data, deep analytics, and professional services for trademark and brand protection, helping businesses monitor and protect their brands against infringement and counterfeiting.
What you will do
- Lead, mentor, and support a team of 3–5 engineers while driving project planning, sprint execution, and technical delivery.
- Architect the migration from legacy daily batch tasks to high-throughput, real-time stream-processing ingestion pipelines.
- Scale infrastructure, including Kubernetes deployments on AWS, and own PostgreSQL performance, index tuning, data modelling, and consistency under heavy load.
- Partner with Product Engineering to evolve real-time auto-moderation pipelines and integrate AI/ML models into production data workflows.
- Use ClickHouse and Grafana observability capabilities to automate incident investigation, improve performance, and resolve critical bugs.
- Align technical roadmaps with product managers, engineering leaders, and cross-functional squads.
Requirements
- Experience building, scaling, and monitoring production-grade backend and infrastructure applications.
- Strong experience with Python or another core language such as Go, Java, or C++, with motivation to develop primarily in Python.
- Deep hands-on experience with PostgreSQL and relational databases, including query optimization, index tuning, high-concurrency performance tuning, and data modelling.
- Hands-on experience managing Kubernetes, deployments, and container orchestration.
- Hands-on AWS experience and a solid understanding of cloud computing and systems infrastructure.
- People management, technical leadership, mentoring, and strong communication with technical and non-technical stakeholders.
Nice to have
- Experience migrating legacy batch systems to real-time streaming data pipelines.
- Practical experience integrating AI/ML models into production data workflows.
Culture & Benefits
- Inclusive and collaborative workplace with professionals across global offices.
- Mission-driven work focused on protecting consumers and brand trust.
- Equal opportunity employer committed to a diverse and supportive workplace.
- Opportunity to build infrastructure and AI-powered systems used by more than 5,000 customers worldwide.
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