Software Engineer, Data Center - Memphis
SOFTWARE ENGINEER, DATA CENTER
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 scientific discipline
3+ years building and operating production software (backend and/or full-stack)
PREFERRED SKILLS AND EXPERIENCE:
Experience working with at least one database system such as Postgres, MongoDB, MySQL, and/or DynamoDB
Experience working in cloud platforms like GCP, Microsoft Azure, AWS, OCI or similar
Experience using observability tools and dashboards such as New Relic, Splunk, and/or Grafana
Experience writing unit tests and integration tests
Experience designing and developing RESTful APIs for mission-critical applications
Strong proficiency in at least one programming language e.g. Rust, Python, JavaScript, Java, C++, etc
Strong fundamental knowledge of computer science - data structures, algorithms, operating systems and networking
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)
Master's degree in computer science or related field
Experience working with performance load testing tools like BlazeMeter, k6, etc
Experience collaborating with cross-functional teams, such as collaborating closely with operations, NOC, and infrastructure teams
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