Staff DevOps Engineer

Nexxa.AI · Remote · SF Bay area ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Staff level role
  • Fully remote
  • Kubernetes + GPU
  • AWS / GCP / Azure
  • Python / Go

You will own the core infrastructure enabling autonomous operations in manufacturing and logistics. The team ensures AI and data workloads run reliably, from GPU-backed training clusters to edge deployments in legacy environments.

Partnering with AI and product engineers, you will design systems that handle real-world physical operations. Your work directly impacts uptime, latency, and safety across industrial settings.

What you'll do

  • Own end-to-end compute, networking, storage, and deployment systems
  • Design CI/CD pipelines for safe iteration across engineering teams
  • Manage Infrastructure-as-Code for cloud and on-prem environments
  • Architect Kubernetes platforms for training and inference workloads
  • Support data warehouses, feature stores, and model serving infrastructure
  • Define observability practices including metrics, logging, and tracing
  • Establish reliability standards such as SLOs and incident response protocols
  • Ensure security compliance for cloud infrastructure and access control
  • Mentor engineers on infrastructure best practices and operational excellence

What you'll need

  • 6+ years in DevOps, SRE, or platform engineering roles
  • Production experience with AWS, GCP, or Azure at scale
  • Deep knowledge of Kubernetes including GPU workload scheduling
  • Proficiency with Terraform, Pulumi, or similar IaC tools
  • Experience with CI/CD systems like GitHub Actions or Jenkins
  • Strong background in observability stacks like Prometheus or Datadog
  • Scripting skills in Python, Go, or Bash for automation
  • Proven ability to lead infrastructure projects from design to rollout
  • Strong incident management and root cause analysis skills

Nice to have

  • Experience bridging cloud and edge/on-prem industrial environments
  • Familiarity with Snowflake, BigQuery, Redshift, or Databricks
  • Knowledge of service mesh or zero-trust networking
  • Experience with compliance frameworks like SOC 2 or IEC 62443
  • History of building internal developer platforms
  • Experience setting technical direction at a Staff level

Stack

  • Kubernetes
  • Terraform
  • Pulumi
  • Python
  • Go
  • Bash
  • AWS
  • GCP
  • Azure
  • Prometheus
  • Grafana
  • Datadog
  • OpenTelemetry
  • Snowflake
  • Databricks

How you'll work

  • Fully remote position
  • Global availability implied

What you get

  • Competitive salary package
  • Equity compensation
  • Career development opportunities
  • Innovative collaborative culture