Voltage Park is seeking an Infrastructure Engineer with a focus on Observability to join our Infrastructure Engineering team. Our engineers design and operate the systems that manage thousands of bare-metal servers, GPUs, and high-performance networks across multiple data centers.
This role combines the breadth of a core infrastructure engineer with a specialty in observability and telemetry. You’ll design and operate metrics, logs, traces, and alerting pipelines that provide actionable insights for both internal teams and external customers — helping to ensure reliability and transparency at scale.
This is a fully remote position, although candidates must be based in the continental United States. Unfortunately, we are unable to provide sponsorship for this role.
ResponsibilitiesDesign, build, and maintain observability platforms spanning metrics, logs, traces, and events.
Create dashboards and alerting for internal stakeholders (InfraOps, Engineering, Customer Success) and scoped visibility for external customers.
Ingest and correlate telemetry from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish.
Implement noise-resistant alerting pipelines that improve detection and reduce operational load.
Collaborate with infrastructure, platform, and customer-facing teams to embed observability into workflows.
Contribute to broader infrastructure engineering projects beyond observability.
8+ years in infrastructure engineering, SRE, or observability roles.
Strong experience with monitoring systems (Prometheus, Grafana, ELK, VictoriaMetrics, or similar).Proficiency in Python, Go, or bash for automation and data integration.
Familiarity with container/Kubernetes observability.
Understanding of streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent).
Strong written and verbal communication skills.
Experience with GPU observability, particularly NVIDIA DCGM.
Designing multi-tenant observability solutions with RBAC and scoped queries.
Prior work with correlation engines for RCA, forecasting, or predictive alerting.
Broader exposure to infrastructure domains (networking, storage, provisioning).
You enjoy working with a small, highly motivated team.
You’re comfortable balancing autonomy with company-wide priorities.
You value clarity, documentation, and actionable insights in observability systems.
You’re excited to specialize in observability while contributing as a core infrastructure engineer.
Voltage Park is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Voltage Park is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. If you require an accommodation during the job application process, please notify your recruiter.
Compensation Range: $140K - $180K
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What We Do
The market for cutting-edge ML compute is broken. Startups, researchers and even big AI labs are scrambling to buy or rent access to the latest chips for ML training. But demand far outstrips supply, and what’s available is only accessible to the well-resourced, placing an artificial damper on innovation.
To solve this challenge, we've launched Voltage Park, and we’re on a mission to make machine learning infrastructure accessible to all, from large enterprises and research universities, to seed-stage startups and nonprofits.
With around 24,000 NVIDIA H100 GPUs, the Voltage Park cloud is one of the most powerful collections of cutting-edge ML compute in the world. Our clusters consist of 80GB H100 SXM5 GPUs fully interconnected with 3.2T InfiniBand.
Why Work With Us
You’ll play a pivotal role as a member of the founding team that will change the face of machine learning infrastructure. As an early hire, you’ll have outsize influence in defining the company’s culture and ensuring mission success.
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Employees engage in a combination of remote and on-site work.
