Staff DevOps Engineer — Industrial AI Infra & Edge/On-Prem

NEXXA; Sunnyvale (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive compensation package

Equity opportunities

Career development opportunities

Job summary

Nexxa is building the best AI systems for heavy industries. We are seeking a Senior/Staff DevOps Engineer to own the infrastructure powering AI and industrial systems at scale, from GPU training clusters to CI/CD pipelines across on-prem and cloud environments.

You will collaborate with AI, data, and product teams to ensure production-readiness, observability, and reliability, while balancing cost, latency, and developer velocity.

Qualifications

• 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or infrastructure-focused software engineering roles.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) at production scale.
• Kubernetes in production, including GPU workload scheduling.
• Infrastructure-as-code tooling (Terraform, Pulumi, or equivalent).
• CI/CD systems (GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD).
• Strong track record designing and operating observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry).
• Experience supporting ML/AI infrastructure — training clusters, model serving, data pipelines — a strong plus.
• Excellent scripting/programming skills (Python, Go, or Bash).
• Proven ability to independently scope and lead infrastructure projects from design through production rollout.
• Strong incident management instincts — you can lead through an outage calmly and drive toward root cause.

Responsibilities

• Own and evolve Nexxa's core infrastructure — compute, networking, storage, and deployment systems — end-to-end
• Design and operate CI/CD pipelines that support fast, safe iteration across AI, data, and product engineering teams
• Build and maintain infrastructure-as-code (e.g., Terraform, Pulumi) for reproducible, auditable environments across cloud and on-prem/edge deployments
• Architect and manage Kubernetes-based platforms for training, inference, and application workloads, including GPU scheduling and autoscaling
• Partner with data and AI teams to support the infrastructure behind data warehouses and lakehouse architectures (e.g., Snowflake, BigQuery, Redshift, Databricks)
• Define and drive observability practices — metrics, logging, tracing, and alerting — across distributed systems
• Establish and enforce reliability practices: SLOs/SLIs, incident response, postmortems, and on-call rotations
• Design for security and compliance across cloud infrastructure, secrets management, and access control
• Make pragmatic tradeoffs across cost, latency, reliability, and developer velocity
• Collaborate with engineering leadership to define infrastructure roadmap and platform strategy
• Mentor engineers on infrastructure best practices and raise the bar for operational excellence across the org

Skills

Cloud platforms

Kubernetes in production

Infrastructure-as-code

CI/CD tooling

Observability stacks

ML/AI infra

Scripting languages

Infra leadership

Tools

Terraform

Pulumi

GitHub Actions

GitLab CI

CircleCI

Jenkins

ArgoCD

Job description

Nexxa is building the best AI systems for heavy industries. We are seeking a Senior/Staff DevOps Engineer to own the infrastructure powering AI and industrial systems at scale, from GPU training clusters to CI/CD pipelines across on-prem and cloud environments.

You will collaborate with AI, data, and product teams to ensure production-readiness, observability, and reliability, while balancing cost, latency, and developer velocity.