Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Data Center Engineering team builds the internal systems and platforms that keep our data centers running at the scale and reliability required for frontier AI training and inference. We partner closely with datacenter operations, research, and infrastructure teams to deliver high-leverage tools that turn raw operational data into clear insight and action. RESPONSIBILITIES: Build and operate the software stacks that make site operations scalable, auditable, and fast — including repair trackers, vendor turnback workflows, operational dashboards, and their integrations. Your users are the technicians, managers, NOC operators, and leadership who run the fleet. Design, build, and operate multi-service production systems (UI, APIs, data pipelines, auth, and on-call) for systems such as SRT-style repair/maintenance trackers and vendor turnover/turnback state machines. Own correctness of operational state: node state accuracy, queue ownership, and audit trails — the data that decides what work happens on the floor. Build and maintain integrations with ticketing, inventory/rack systems, telemetry stores, and vendor portals. Keep the tools themselves reliable: uptime, data integrity, reconciliation, access control, and safe deploys. Embed with SiteOps and NOC users; measure workflow adoption, not just feature delivery. BASIC QUALIFICATIONS: Bachelor’s degree in Computer Science, Engineering, or related fields. 3+ years building and operating production software (backend and/or full-stack). Strong fundamental knowledge of computer science - data structures, algorithms, operating systems and networking. Strong proficiency in at least one programming language e.g. Rust, Python, JavaScript, Java, C++, etc. Experience designing and developing RESTful APIs for mission-critical applications. Experience working with at least one database like Postgres, MongoDB, MySQL, DynamoDB, etc. Experience collaborating with cross-functional teams. Experience working in cloud platforms like GCP, Microsoft Azure, AWS, OCI or similar. Experience using observability tools and dashboards like New Relic, Splunk, Grafana, etc. Experience writing unit tests and integration tests. PREFERRED SKILLS AND EXPERIENCE: Full-stack or backend + data experience, especially with workflow and state-machine systems. Experience automating deployments using CI/CD tools like Azure Devops, ArgoCD, Jenkins, GitHub Actions, etc. Experience building high-correctness operational UIs where a wrong value can dispatch a human to the wrong rack. On-call discipline and a track record of treating internal platforms with production rigor. Experience designing and shipping multi-service systems (APIs, data stores, and at least one of: UI, pipelines, or auth). Experience delivering high-quality internal tools in rapidly changing environments (as a tech lead, former founder, etc.). Proven ownership of correctness-sensitive systems — state machines, workflows, or operational data where inaccurate state has real-world impact. Experience integrating with external systems via APIs (e.g. ticketing, inventory, telemetry, or vendor portals). MS in Computer Science or related field. Experience collaborating closely with operations, NOC, and infrastructure teams. Experience working with performance load testing tools like BlazeMeter, k6, etc. ADDITIONAL REQUIREMENTS: The role is fully onsite in Memphis, TN or Southhaven, MS. Candidates are expected to be located near the area or open to relocation. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Requirements

Must-haves

Design, build, and operate multi-service production systems (UI, APIs, data pipelines, auth, and on-call) for systems such as SRT-style repair/maintenance trackers and vendor turnover/turnback state machines.
Own correctness of operational state: node state accuracy, queue ownership, and audit trails — the data that decides what work happens on the floor.
Build and maintain integrations with ticketing, inventory/rack systems, telemetry stores, and vendor portals.
Keep the tools themselves reliable: uptime, data integrity, reconciliation, access control, and safe deploys.
Embed with SiteOps and NOC users; measure workflow adoption, not just feature delivery.
Bachelor’s degree in Computer Science, Engineering, or related fields.
3+ years building and operating production software (backend and/or full-stack).
Strong fundamental knowledge of computer science - data structures, algorithms, operating systems and networking.
Strong proficiency in at least one programming language e.g. Rust, Python, JavaScript, Java, C++, etc.
Experience designing and developing RESTful APIs for mission-critical applications.
Experience working with at least one database like Postgres, MongoDB, MySQL, DynamoDB, etc.
Experience collaborating with cross-functional teams.
Experience working in cloud platforms like GCP, Microsoft Azure, AWS, OCI or similar.
Experience using observability tools and dashboards like New Relic, Splunk, Grafana, etc.
Experience writing unit tests and integration tests.
Full-stack or backend + data experience, especially with workflow and state-machine systems.
Experience automating deployments using CI/CD tools like Azure Devops, ArgoCD, Jenkins, GitHub Actions, etc.
Experience building high-correctness operational UIs where a wrong value can dispatch a human to the wrong rack.
On-call discipline and a track record of treating internal platforms with production rigor.
Experience designing and shipping multi-service systems (APIs, data stores, and at least one of: UI, pipelines, or auth).
Experience delivering high-quality internal tools in rapidly changing environments (as a tech lead, former founder, etc.).
Proven ownership of correctness-sensitive systems — state machines, workflows, or operational data where inaccurate state has real-world impact.
Experience integrating with external systems via APIs (e.g. ticketing, inventory, telemetry, or vendor portals).
MS in Computer Science or related field.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airustpythonjavascriptjavapostgresgcpazureawsci/cd

Platform: greenhouse
Effort: quick