HPC Data Center Production Engineer at Jump Trading — Chicago, USA | Base Career

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 latent 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.

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.

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. Technical Skills:
High proficiency in Golang and at least one additional language (e.g., Python). You will write a lot of code in this role.
Strong Linux systems knowledge—you should live in Linux. 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.

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. You should already be using AI daily and be eager to push its application further.
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.

HPC Data Center Production Engineer

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