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SiftstackSiftstackMarina Del Rey, CA

Software Engineering Manager (Data)

Leads engineering teams building core data pipelines for ingestion, storage, processing, querying, and APIs supporting cloud, on-prem, and air-gapped deployments. Requires 7+ years software engineering experience including 2+ years people management, data expertise, and hands-on coding in Go/Rust/Python.

170k – 250k
Hybrid7+ YOEEngineering Management

About the role

Core Responsibilities

Leadership

  • Manage and build a team of high-performing engineers, provide mentorship and guidance to accelerate their growth.

Strategy

  • Collaborate with our Product and our Go-To-Market teams to define technical roadmaps.

Execution

  • Ensure the team delivers best-in-class results at high velocity while continuously raising the bar for quality and performance.

Process Excellence

  • Establish and refine engineering processes, agile rituals and use of AI to accelerate development and expand our core capabilities.

Hands-on Contribution

  • Actively engage the architecture and codebase, contribute to high-impact features and help resolve critical technical challenges.

Candidate Profile

Experience

  • 7+ years in software engineering with 2+ years in a people management role.

Education

  • Bachelor’s degree in Computer Science, STEM, or a related field.

Software Development

  • Strong experience with distributed systems and web applications using Go, Rust, or Python.

Data Expertise

  • 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.

Leadership

  • Proven ability to guide teams through ambiguity and a track record of being a "force multiplier" for engineering talent.

Bonus Points

  • Experience in Aerospace, Autonomous Vehicles, Robotics, Defense or Energy.
  • Experience in leading AI-first teams and AI initiatives.
  • Background in Data Science, Statistics or other academic fields that work with data.
  • Experience in building UI and customer-facing dashboards for interacting with data.

Relevant Technologies

  • Web frontend & backend: React, TypeScript, Redux, Tailwind, WebAssembly, D3.js, WebGL, Go
  • Data: Parquet, Flink, Kafka, Redpanda, Beam, DuckDB, Timescale, QuestDB, InfluxDB, Druid
  • Infrastructure: GitHub Actions, AWS, Azure, GCP, Docker, Kubernetes, Terraform

Compensation

  • Salary range: $170,000 - $250,000 per year. Plus equity and benefits.

Skills

GoRustPythonApache KafkaFlinkBeamPostgresDruidPinotTimescaleGrafanaJupyter NotebooksKubernetesDockerAWS
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