Software Engineering Manager leading the Data Platform at Sift, enhancing data pipelines for aerospace and robotics applications. Oversee engineers while collaborating on technical roadmaps and processes.
Responsibilities
Manage and build a team of high-performing engineers, provide mentorship and guidance to accelerate their growth.
Collaborate with our Product and our Go-To-Market teams to define technical roadmaps.
Ensure the team delivers best-in-class results at high velocity while continuously raising the bar for quality and performance.
Establish and refine engineering processes, agile rituals and use of AI to accelerate development and expand our core capabilities.
Actively engage the architecture and codebase, contribute to high-impact features and help resolve critical technical challenges.
Requirements
7+ years in software engineering with 2+ years in a people management role.
Bachelor’s degree in Computer Science, STEM, or a related field.
Strong experience with distributed systems and web applications using Go, Rust, or Python.
Experience with in-stream processing (Apache Kafka, Flink, Beam).
Familiarity with specialized databases like PostgreSQL, Druid, Pinot, or Timescale.
Expertise in data exploration tools such as Grafana or Jupyter Notebooks.
Proven ability to guide teams through ambiguity and a track record of being a "force multiplier" for engineering talent.
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