Senior Software Engineer (Backend)
About The Position
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. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You’ll Do As a Senior Backend Engineer in the Archer AI team, you will architect, develop, and scale the core services and infrastructure that power our cutting-edge AI products. You will bridge the gap between complex AI models and production-ready software, ensuring that our AI-driven insights are delivered reliably and at scale.
Requirements
- BS/MS/PhD degree in Computer Science, Software Engineering, or related field
- 5+ years of professional software engineering experience, with a heavy focus on backend systems.
- Solid understanding of microservices architecture, distributed systems, and API design
- Strong proficiency in Python and/or Rust, ideally both
- Solid experience with containerization and orchestration (Docker, Kubernetes)
- Experience with cloud platforms such as AWS, GCP, or Azure
- Experience with infrastructure-as-code tools such as OpenTofu/Terraform and configuration management with Ansible
- Solid experience with relational databases (eg. PostgresQL), in-memory databases (e.g., Valkey/Redis), and columnar databases built on top of Parquet or similar formats
- Familiarity with GitOps practices (eg Argo CD) and Kubernetes deployments
- Able to scale yourself with AI coding assistants while still fully understanding and taking ownership of all code you commit
- Excellent communication and collaboration skills, with a proven ability to explain complex technical concepts to both technical and non-technical stakeholders
Nice To Haves
- Experience with AI/ML ops and tooling
- Rust experience with async runtimes (Tokio), serialization (Cap'n Proto), and message-driven architectures is highly valued
- Experience with message brokers (NATS, Kafka) and event-driven architectures
- Experience building high-throughput data pipelines
- Background in high-availability, real-time systems or event-driven architectures
- Prior experience or a deep interest in aerospace, robotics, or autonomous systems
Responsibilities
- Design and maintain scalable backend systems, APIs, and data pipelines to support applications powered by AI
- Leverage infrastructure-as-code tooling to build and manage backend environments
- Collaborate with AI researchers, AI systems engineers, and data scientists to productionize and monitor AI/ML and optimization models
- Own the full development lifecycle—from design and development to deployment, monitoring, and maintenance
- Monitor system performance and reliability, and respond to production issues with effective debugging and root cause analysis
- Write clean, maintainable, and well-documented code
- Mentor and guide junior team members with diverse technical backgrounds, fostering a culture of engineering excellence and software development best practices
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
