SiftStack
Software Engineering Manager (Mission Ops)
$200K–$265K
Marina Del Rey, CA · Hybrid · Manager · Full-time · Posted Oct 8, 2026
- Experience
- 7+ years in software engineering, including 2+ years in a people management role.
- Education
- Bachelor's degree in Computer Science, STEM, or a related field.
- Visa sponsorship
- Must be a U.S. citizen, lawful permanent resident (Green Card Holder), or protected individual such as an asylee or refugee in compliance with ITAR / EAR regulations.
About the job
Leads the Mission Ops engineering squad building user interfaces, APIs, and backend systems for monitoring and operating customer machines and fleets.
What you'll do
- Manage, mentor, and grow a team of engineers; shape the squad’s technical roadmap with Product and Go-To-Market.
- Drive reliable, high-velocity delivery and improve engineering processes, agile rituals, and AI use.
- Contribute hands-on to architecture, code, and high-impact work across frontend, APIs, and backend services.
What they ask for
- 7+ years in software engineering and 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, and modern frontends built in React and TypeScript.
- Experience building real-time monitoring, alerting, or incident management systems; familiarity with time-series data and event-driven architectures; expertise in observability tools such as Grafana or Prometheus.
Nice to have
- Experience in Aerospace, Autonomous Vehicles, Robotics, Defense, or Energy.
- Experience building mission control, ground systems, or fleet operations software; leading AI-first teams or initiatives; or designing operator alerting, anomaly detection, or root-cause analysis workflows.
Pay
$200,000 - $265,000 per year (base salary)
Tools
Go, Rust, Python, React, TypeScript, Grafana, Prometheus, PostgreSQL
AI focus
Establish and refine use of AI to accelerate development and expand core capabilities; experience leading AI-first teams and AI initiatives is preferred.
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