Tech Lead - Software Engineering

What you'll do

• Set technical direction, plans, architecture decisions, and delivery priorities for the detection platform.
• Code, review, debug, support production operations, and mentor engineers while improving platform reliability.
• Develop and evaluate LLM- and agent-assisted engineering and operations tools, with standards for safe use and verification.

What they ask for

• 8+ years of software development experience and 2+ years of technical leadership experience.
• Deep production experience with Java; working proficiency in Python and Shell scripting.
• Experience designing, building, shipping, and operating distributed real-time systems at scale; strong knowledge of computer systems, relational databases, and SQL.
• Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka; experience with Spring Framework; demonstrated production use of AI coding tools.

Nice to have

• Experience in fraud, risk, payments, financial services, or another domain where false negatives have significant impact; experience owning ML platforms or large-scale training pipelines.
• Experience with Kubernetes, LLM APIs, agent frameworks, tool calling, RAG, or MCP; evaluations for non-deterministic systems; hiring, managing, or mentoring engineers; test-driven development.

Pay

$170,000–$220,000 USD base salary

Tools

Java, Python, Shell, Cassandra, Yugabyte, Flink, Spark, Kafka

AI focus

Set standards for AI agents and AI-assisted engineering, including verification and safe usage; build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations, including triage, root-cause analysis, alert summarization, and evaluation harnesses.