Data Center Automation Jobs (NOW HIRING)

HPC Data Center Production Engineer

Location: Chicago or New York (On‑site 5 days/week)

Jump Trading Group is committed to world‑class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting‑edge research to global financial markets.

Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk‑adjusted returns. We design, develop, and deploy technologies that change our world, fund start‑ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world‑class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world‑class low‑latency Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

We are looking for an HPC Data Center Production Engineer to build and own the automation and tooling that powers Jump’s HPC data center operations. This is a development‑heavy role focused on automating the onboarding and lifecycle management of data center hardware—servers, switches, rack PDUs, CDUs, and environmental sensors—and building tools for capacity planning, outage simulation, monitoring, and metrics integration. You will work hand‑in‑hand with the HPC Planning, Engineering, and Operations leads to turn tooling and monitoring vision into production‑ready systems. Heavy, daily use of AI tools is expected to accelerate development and raise the quality bar on everything you build.

• Hardware Onboarding Automation: Design, develop, and maintain automation to onboard new hardware devices into Jump’s HPC data centers, including servers, network switches, rack PDUs, CDUs, and environmental sensors. Build end‑to‑end provisioning workflows that take hardware from racked‑and‑cabled through discovery, configuration, validation, and production‑ready state with minimal manual intervention. Extend and adapt onboarding automation as new hardware platforms and device types are introduced.
• Data Center Tooling Development: Develop tools for power and cooling capacity planning—enabling the operations and planning teams to model current utilization, forecast growth, and identify constraints before they become problems. Build outage simulation tooling to model the impact of power, cooling, or network failures across HPC facilities and validate redundancy/failover configurations. Develop and maintain operational tooling that supports day‑to‑day data center workflows such as hardware lifecycle tracking, data center inventory/spares, change management, and diagnostics.
• Monitoring & Metrics Integration: Build and maintain monitoring integrations for HPC data center infrastructure—pulling telemetry from servers, switches, PDUs, CDUs, environmental sensors, and facility systems into centralized observability platforms. Integrate metrics feeds from colocation and data center providers into Jump’s monitoring stack, normalizing data for alerting and capacity reporting. Work with the Operations Lead to implement the monitoring and alerting strategy, translating requirements into deployed, production‑grade instrumentation.
• Cross‑Team Collaboration: Work very closely with the HPC Planning, Engineering, and Operations leads to understand tooling and monitoring needs and bring their vision to fruition. Partner with HPC Engineering on integration points between data center automation and compute/storage/network provisioning systems. Translate operational pain points and manual processes into automated, maintainable solutions.
• Systems Maintenance & Reliability: Own the reliability and lifecycle of all systems and tools you develop—monitor for failures, respond to issues, and iterate based on operational feedback. Maintain comprehensive documentation for all tooling, automation workflows, and integrations. Participate in large, coordinated maintenance operations, including during evenings and weekends.
• AI‑Driven Development: Use AI tools daily across all aspects of the role: writing and reviewing code, analyzing data, debugging, generating documentation, and accelerating development velocity. Identify opportunities to apply AI to data center operations problems—anomaly detection, predictive capacity planning, intelligent alerting, and beyond.
• Other duties as assigned or needed.

• 5+ years of professional experience in production engineering, infrastructure automation, or site reliability engineering, preferably in HPC or large‑scale data center environments.
• Proven track record of building and shipping production automation and tooling—not just scripts, but maintained, reliable systems.
• Experience automating hardware provisioning and lifecycle management (servers, network devices, power/cooling infrastructure).
• Strong understanding of data center infrastructure: power distribution, cooling systems (air and liquid), environmental monitoring, and structured cabling.
• Experience integrating with hardware management interfaces (IPMI/BMC/Redfish, SNMP, vendor APIs) for discovery, configuration, and telemetry collection.
• Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.
• High proficiency in Golang and at least one additional language (e.g., Python).
• Strong Linux systems knowledge—proficient with system administration, networking, storage, process management, log analysis, and troubleshooting at the OS level.
• Experience with Grafana for building dashboards, alerting, and visualization of infrastructure metrics; experience with Prometheus, InfluxDB, or similar observability platforms and building custom integrations/exporters.
• Experience with configuration management and infrastructure‑as‑code tools (SaltStack, Ansible, Terraform, or similar).
• Solid understanding of networking concepts: L2/L3 protocols, VLANs, BGP, SNMP, and switch/router configuration (Arista, Cisco).
• Experience with APIs and data integration—consuming vendor APIs, normalizing heterogeneous data sources, building data pipelines for metrics and reporting.
• Experience with ClickHouse and MySQL—writing queries, designing schemas, and building tooling that reads from and writes to these databases.
• Experience with GitHub for version control, code review, CI/CD workflows, and collaborative development.
• Demonstrated heavy use of AI tools (e.g., LLM‑based coding assistants, AI‑driven analytics) in a professional setting.
• A compulsion to perform root‑cause analysis.
• Excellent written and verbal communication skills with the ability to work across a global engineering team.
• Extremely high personal standards for work quality.
• Reliable and predictable availability, including ability to work evenings and weekends as required.
• Bachelor’s degree preferred.