Software Engineer, Fleet Infrastructure

ABOUT THE TEAM

Anduril products are designed to operate in high stakes environments, in some cases with life-or-death consequences for success or failure. As such, it is critical that Anduril services are reliable and maintainable. This means that all services & infrastructure across the fleet need to be able to be observed & monitored so that our users can trust in their ability to perform their expected functions.

The Observability team builds and operates Anduril's production telemetry plane, aggregating signals from the edge to cloud on our core ground systems & Kubernetes infrastructure.

As an engineer on the Observability team, you will build & operate Anduril's production telemetry systems for ground & cloud nodes. This includes designing & implementing core developer SDKs for metrics aggregation, structured logging, and tracing, building the real-time data pipelines to connect environments with our core Observability systems, and operate/manage our central monitoring and alerting infrastructure. You'll also build for both cloud-connected as well as off-line/airgapped environments - and ensure a seamless user experience transitioning between both.

You'll also collaborate closely with the Robotics Data Foundation & Fleet Management teams (which own our vehicle telemetry infrastructure as well as our software delivery plane for edge systems) to ensure that monitoring and alerting are first-class primitives supported in both of those products.

• Build & operate a robust, high-availability core observability plane
  - We run Anduril's centralized observability system for 100s of environments. Engineering teams depend on these systems daily to remain operationally responsible systems - these systems must gracefully scale to meet demand and meet strict uptime requirements.
• Design developer-facing SDKs & tooling for instrumenting mission-critical services
  - We build the libraries & tooling that make correct, ergonomic instrumentation the default across a heterogeneous fleet of services & languages/frameworks (predominantly Go, Rust, C++, and Python).
• Eagerly engage with our customers
  - We partner closely with engineering teams to understand their needs, gaps of our systems, and proactively engage with them so that our systems continually improve. We actively work to close gaps early on, and maintain a close working relationship with internal customers.
• Enable metrics-driven engineering and seamless investigation of production incidents - the ultimate mandate of the Observability team is to enable our organization to make data-driven decisions in real-time. This also extends to providing the substrate for agentic workflows for root-cause analysis, and enabling users to synthesize information across services and environments when triaging and actioning issues.

• At least 3+ years of experience in Software Engineering, plus a bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience)
• Familiarity with common container orchestration systems and cloud infrastructure (Docker, Kubernetes, experience developing and deploying systems on AWS, GCP, or Azure). Experience with infrastructure components of the observability stack is a plus (Click House/Click Stack, Victoria Metrics, Prometheus, Grafana, ELK stack, etc).
• Experience building and operating systems written in Go, C++, Rust, or Java (the team primarily uses Go)
• Experience serving as part of an on-call rotation to support high-availability systems
• User-focused engineering mindset - ability to translate user needs into technical solutions while balancing user experience with engineering constraints
• Exposure to / experience with FedRAMP compliance and/or deployment into government cloud provider enclaves (AWS Gov Cloud, Azure Government regions) is a plus
• U.S. Person status is required as this position needs to access export controlled data

$166,000 - $220,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical sk