Backend Software Engineer (Distributed Systems – Go / Rust / Java)

Location: New York, USA

Salary: $175,000–$230,000 per year

Company

Builds infrastructure that helps engineering teams process large volumes of real-world data and analyze performance for advanced hardware systems, including spacecraft and autonomous vehicles.

What you will do

• Build distributed backend systems that ingest, process, and store large volumes of real-time telemetry and sensor data.
• Design scalable storage, indexing, and querying infrastructure for time-series and event-driven datasets.
• Improve throughput, latency, fault tolerance, performance, and reliability across production systems.
• Work with Kubernetes, Docker, Terraform, and cloud platforms.
• Collaborate with product and infrastructure engineers on complex technical challenges.
• Influence architecture decisions, technical direction, and engineering best practices.

Requirements

• 3+ years of experience building and maintaining backend or distributed systems in production.
• Strong programming experience in Go, Rust, or Java.
• Experience building systems where performance, scalability, and reliability are important.
• Experience with cloud infrastructure such as AWS, GCP, or Azure.
• Familiarity with containerization and infrastructure tools such as Kubernetes, Docker, or Terraform.
• Strong understanding of distributed systems concepts, including concurrency, fault tolerance, consistency, and performance optimization.
• Ability to take ownership, solve difficult engineering problems, and follow work through to production.

Nice to have

• Experience with time-series databases, columnar storage, or analytics engines such as ClickHouse, TimescaleDB, Druid, or InfluxDB.
• Experience with streaming and data-processing technologies such as Kafka, Flink, Spark, or Apache Arrow.
• Experience working with high-volume telemetry, event-driven systems, or complex data pipelines.

Culture & Benefits

• Ownership of systems from architecture through deployment and performance optimization.
• Work on infrastructure supporting advanced engineering and hardware projects.
• Collaboration with experienced engineers across product and infrastructure.