Nexxa.ai
Staff DevOps Engineer
SF Bay area · Remote · Staff · Full-time · Posted Aug 27, 2026
- Experience
- 6+ years; experience supporting ML/AI infrastructure is described as a strong plus.
About the job
Own and evolve the infrastructure and platform systems that run AI, data, and industrial workloads reliably across cloud and edge environments.
What you'll do
- Build and operate infrastructure, Kubernetes platforms, and CI/CD pipelines for AI, data, and product workloads.
- Establish observability, reliability, security, and incident-response practices across distributed systems.
- Lead infrastructure strategy and projects, and mentor engineers on operational best practices.
What they ask for
- 6+ years in DevOps, SRE, Platform Engineering, or infrastructure-focused software engineering.
- Production-scale experience with a cloud platform (AWS, GCP, or Azure), Kubernetes including GPU scheduling, infrastructure-as-code, and CI/CD systems.
- Experience designing and operating observability stacks.
- Strong scripting or programming skills in Python, Go, or Bash; able to lead infrastructure projects through production rollout.
Nice to have
- Experience bridging cloud and edge/on-prem environments, especially in industrial or manufacturing contexts.
- Familiarity with data warehouse/lakehouse platforms, service mesh, zero-trust networking, compliance frameworks, or internal developer platforms.
Tools
AWS, GCP, Azure, Kubernetes, Terraform, Pulumi, GitHub Actions, Prometheus
AI focus
Supports infrastructure for AI systems, including GPU-backed training and inference, model serving, evaluation, feature stores, embedding indices, and retrieval pipelines.
Model-written summary · the original posting is authoritative