Algo Development Engineering Manager
An algorithm that works in a notebook is only half done. It still has to handle real traffic, messy data, and other teams depending on it. The Algo Development team does that second half, and we need someone to lead it. It's a small team of Python and Java engineers. They run the Django service that much of this work goes through, turn prototypes into services with proper contracts and versioning, and keep the Flink and Kafka streaming pipelines running. You'll report to the CTO. Most of your time will go to people and direction, but you won't be hands-off. You'll review code every week and write some when the team needs it. Responsibilities: Hire, mentor, and grow the team. That includes recruiting senior engineers, running performance conversations, and shaping how the team works as it gets bigger. Set technical direction for the Django and Django REST Framework service, the Java optimization and services work, and the Flink and Kafka streaming pipelines. Decide when a research approach is ready for production and when it needs rethinking first, then get it there. Own the health of the Django service on PostgreSQL: the data model, the API surface, performance, and reliability. Review pull requests and hold the bar for what ships. Run design reviews, planning, and postmortems, and make sure any work that crosses team lines has an owner before it starts. Requirements: A degree in computer science, software engineering, information systems, or a related field, or equivalent practical experience. Real engineering management experience. You've owned hiring, performance, and delivery for a team, and you can talk honestly about both growing engineers and managing people out. Depth in Python or Java, with working fluency in the other. This one isn't negotiable. You should be able to read a pull request, ask the right questions, and jump into the code yourself. Experience taking prototype or notebook work into a production system that you then had to run. Hands-on PostgreSQL scaling: query tuning, indexing, and schema design. You can read a query plan, find the query that's hurting, and fix it. Good technical judgment, plus the ability to explain your reasoning so the team can act on it.
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