We’re partnering closely with one of the most disruptive Series A startups in the fraud space. Their cutting-edge platform leverages machine learning, real-time data, and dynamic workflows to help businesses detect fraud, manage risk, and make smarter credit decisions—instantly.

Now seeking Engineering Manager to lead a team focused on building and scaling critical backend infrastructure. This includes real-time event processing, data pipelines, and workflow orchestration systems. You’ll collaborate closely with cross-functional teams across product, infrastructure, and AI to drive technical strategy and execution. This role requires coordination with colleagues in California, so flexibility across time zones is important.

Key Responsibilities:

• Lead and scale a backend engineering team working on distributed systems.
• Drive technical architecture for high-availability, low-latency platforms.
• Define engineering roadmaps in collaboration with product and infrastructure leads.
• Champion a culture of technical excellence, accountability, and fast iteration.
• Mentor engineers and support career growth within the team.

Qualifications:

• 3+ years of experience managing backend/platform engineering teams.
• 7+ years of backend development experience with distributed systems, event streaming, and cloud infrastructure.
• Proficient with tools like Kafka, ClickHouse, Postgres, Redis, Flink, and backend languages like Java.
• Strong leadership skills and a track record of delivering complex projects in fast-paced environments.