Staff Devops Engineer

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Countries
USA
Job Types
software & tech
Experience
expert
Organization Types
aerospace, transportation & mobility
Location
San Jose
Posted Date
Company
Archer Aviation
Salary
$200,000.0 - $250,000.0 annually

AI Summary

Job Description

Architect, develop, and scale core services, real-time data pipelines, and distributed infrastructure for AI products. Bridge the gap between AI models and production systems, ensuring reliability, security, and scalability. Build and manage stream-processing jobs, containerize and deploy ML models, and optimize system performance and observability.

Hard Requirements

  • BS/MS/PhD degree in Computer Science, Software Engineering, or related technical field
  • 5+ years of professional software engineering experience
  • Heavy focus on backend systems, distributed architectures, and infrastructure management
  • Strong proficiency in Java, Python and/or Rust
  • Solid grasp of writing high-performance, concurrent backend code
  • Production experience with stream-processing frameworks, specifically Apache Flink
  • Experience setting up observability stacks (e.g., Grafana, Prometheus, ELK)
  • Solid experience with containerization and orchestration (Docker, Kubernetes)
  • Deep experience with cloud platforms (AWS, GCP, or Azure)
  • Experience with infrastructure-as-code tools (OpenTofu/Terraform, Ansible)
  • Hands-on experience with modern GitOps practices (e.g., Argo CD)
  • Managing CI/CD automation pipelines
  • Solid experience with relational databases (e.g., PostgreSQL)
  • Experience with in-memory datastores (e.g., Valkey/Redis)
  • Experience with high-throughput data storage strategies
  • Able to scale yourself with AI coding assistants
  • Fully understand and take absolute ownership of all code and infrastructure configurations

Soft Requirements

  • Excellent communication skills
  • Ability to design resilient architectures
  • Explain complex infrastructure paradigms
  • Deep experience with Apache Pulsar (or Kafka)
  • Rust experience with async runtimes
  • Experience architecting real-time media pipelines using WebRTC
  • Deep understanding of audio codecs
  • Familiarity with MLOps frameworks
  • GPU orchestration in Kubernetes
  • Serving LLMs at scale
  • Background in high-availability, real-time systems, telecommunications, or safety-critical networks
  • Prior experience or interest in aerospace, aviation, or autonomous tracking systems

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