Staff 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. As a Staff Software Backend Engineer, you will build and scale the core application logic, streaming pipelines, and data layers that power our real-time AI tracking platform. You will focus on the intersection of backend service architecture and data engineering—ensuring high-frequency telemetry data is ingested via streaming queues, accurately modeled, and reliably served to downstream web apps and AI models.
Requirements
- BS/MS degree in Computer Science, Software Engineering, or a related technical field.
- 5+ years of professional software engineering experience with a balanced focus on backend systems and data pipeline development.
- Proficiency in Java, Python and/or Rust to build backend services
- Awareness of distributed messaging systems and event-driven architectures, such as Apache Pulsar or Kafka.
- Understanding of data modeling concepts related to relational databases (e.g., PostgreSQL) and in-memory data structures (e.g., Redis/Valkey).
- Familiarity with containerization (Docker) and modern cloud environments (AWS, GCP, or Azure).
- Able to leverage AI coding assistants to increase velocity while fully understanding and taking absolute ownership of all backend code and schemas you commit.
- Strong problem-solving skills and a collaborative mindset to handle the complexities of real-time data flow.
Nice To Haves
- Experience with column-oriented or time-series data storage and analytical file formats (e.g., Parquet).
- Familiarity with geographic/spatial data processing and mapping APIs.
- Basic understanding of Kubernetes, CI/CD pipelines, and GitOps workflows.
- Prior experience or a deep interest in aerospace, aviation, or high-throughput tracking systems.
Responsibilities
- Design, develop, and maintain high-performance backend systems, microservices, and APIs alongside real-time data pipelines.
- Implement stateful stream-processing applications to clean, transform, and window high-frequency telemetry and event data.
- Architect robust data models and schemas optimized for low-latency writes and fast real-time queries across relational, time-series, and caching layers.
- Collaborate cross-functionally with frontend and AI/data science to expose clean, structured data and integrated AI insights via scalable APIs.
- Participate in the full software development lifecycle, including writing integration tests, code reviews, deployment, and monitoring pipeline health.
- Investigate, debug, and optimize application bottlenecks, data serialization overhead, and query performance in production.
Benefits
- pay-for-performance culture
- reward performance that supports the Company’s business strategy
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
