Staff DevOps

• Architect and maintain highly available backend systems, distributed data pipelines, and scalable cloud infrastructure to support real-time AI applications.
• Leverage infrastructure-as-code (IaC) and cloud-native tooling to build, manage, and optimize production, staging, and development environments.
• Build and manage stream-processing jobs capable of handling global, high-frequency data streams with ultra-low latency.
• Work cross-functionally with AI Research, Engineering, and Data Science teams to containerize, deploy, orchestrate, and monitor scalable ML models and infrastructure.

This role advances sustainable air mobility by building the reliable, scalable infrastructure needed to operate all-electric vertical takeoff and landing aircraft, reducing carbon emissions and noise pollution in urban transportation.

• BS/MS/PhD degree in Computer Science, Software Engineering, or a related technical field.
• 5+ years of professional software engineering experience with a heavy focus on backend systems, distributed architectures, and infrastructure management.
• Strong proficiency in Java, Python and/or Rust, with a solid grasp of writing high-performance, concurrent backend code.
• Production experience with stream-processing frameworks, specifically Apache Flink.

Target base pay between $172,800 - $216,000. Archer is an Equal Opportunity employer committed to diversity and inclusivity, offering a pay-for-performance culture.

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility.