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Software Engineer, Observability (Supercompute)

SpaceXSI
Memphis, USA
Mid
Onsite
Discovered 2 days ago
PythonJavaReactJavaScriptDockerKubernetes

Full Job Posting

RESPONSIBILITIES

  • Design, build, and operate multi-service production systems (UI, APIs, data pipelines, auth, and on-call) to enable reliability, uptime monitoring, predictive alerting, upgrade/change/risk management, and site-wide impact assessments.
  • Design, build, and operate predictive and analytical tools that inform better design and operations of future and current supercompute centers,
  • Develop frontend visualizations, interactive dashboards, and UI components that present processed data in clear, real-time views for operators, capacity planners, and engineering stakeholders.
  • Work day to day with your users, in person, to rapidly incorporate feedback and process improvements that improve GPU uptime.

BASIC QUALIFICATIONS

  • Super Intelligence (SI) driven software development practices
  • Programming experience in Python, Rust, C++, Java, or similar languages.
  • Experience working with Postgres, MySQL, MongoDB, DynamoDB, or similar database management systems.
  • Proven ownership of correctness-sensitive systems - state machines, workflows, or operational data where inaccurate state has real-world impact.
  • Experience collaborating with cross-functional teams.
  • Ability to work extended hours or weekends as needed for mission-critical deadlines.
  • Ability to work full-time on-site at a SpaceX office.
  • Ability to travel to supercompute centers (up to 25-50% based on need).
  • SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

PREFERRED SKILLS AND EXPERIENCE

  • Bachelor's degree in computer science, engineering, math, or a STEM discipline and 3+ years of professional software development experience; OR 5+ years of professional software development experience in lieu of a degree.
  • Experience building or operating large-scale observability, telemetry, or real-time analytics systems.
  • Experience with time-series or analytical databases (Prometheus/VictoriaMetrics, ClickHouse, InfluxDB) and streaming or high-volume telemetry pipelines.
  • Experience building observability dashboards and alerting with Grafana, New Relic, Splunk, or similar.
  • Frontend experience with React, Angular, or a comparable JavaScript framework, building intuitive UIs for critical operations.
  • Experience operating services on cloud or on-prem infrastructure with Docker/Kubernetes in production and automated CI/CD deploys (ArgoCD, GitHub Actions, etc.).
  • Experience with HPC or supercomputing environments (schedulers such as Slurm, GPU/accelerator telemetry, high-speed fabrics, or parallel filesystems).
  • Experience integrating with industrial/OT data sources (SCADA platforms such as Ignition, tag historians, Modbus/OPC-UA) or power/cooling infrastructure telemetry.

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