Staff DevOps Engineer
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Job Description
Staff DevOps Engineer owning cloud, edge, and Kubernetes infrastructure. Powering Nexxa’s AI systems for manufacturing, logistics, and heavy industry.
Responsibilities:
- Own and evolve core infrastructure across compute, networking, storage, and deployment systems
- Design and operate CI/CD pipelines for AI, data, and product engineering teams
- Build and maintain infrastructure-as-code for reproducible, auditable cloud and on-prem/edge environments
- Architect and manage Kubernetes platforms for training, inference, and application workloads, including GPU scheduling and autoscaling
- Support data warehouses, lakehouse architectures, feature stores, embedding indices, retrieval pipelines, and model training, evaluation, and serving infrastructure
- Define and drive observability practices across distributed systems, including metrics, logging, tracing, and alerting
- Establish reliability practices including SLOs/SLIs, incident response, postmortems, and on-call rotations
- Design security and compliance for cloud infrastructure, secrets management, access control, and industrial or legacy-environment integrations
- Make tradeoffs across cost, latency, reliability, and developer velocity
- Collaborate with engineering leadership on infrastructure roadmap and platform strategy
- Mentor engineers and raise operational excellence across the organization
- Own ambiguous, high-stakes infrastructure problems end-to-end and design systems for future scale
Requirements:
- 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or infrastructure-focused software engineering roles
- Deep hands-on experience with AWS, GCP, or Azure at production scale
- Kubernetes production experience, including GPU workload scheduling
- Infrastructure-as-code tooling such as Terraform, Pulumi, or equivalent
- CI/CD systems such as GitHub Actions, GitLab CI, CircleCI, Jenkins, or ArgoCD
- Experience designing and operating observability stacks such as Prometheus, Grafana, Datadog, or OpenTelemetry
- Experience supporting ML/AI infrastructure is a strong plus
- Excellent scripting/programming skills in Python, Go, or Bash
- Proven ability to independently scope and lead infrastructure projects from design through production rollout
- Strong incident management instincts and ability to lead outage response and root-cause analysis
- Preferred: experience bridging cloud and edge/on-prem environments, especially industrial or manufacturing contexts
- Preferred: familiarity with Snowflake, BigQuery, Redshift, or Databricks
- Preferred: service mesh, zero-trust networking, or industrial compliance frameworks such as SOC 2 or IEC 62443
- Preferred: building internal developer platforms or self-service infrastructure tooling
- Preferred: scaling infrastructure teams or setting technical direction at Staff level
Benefits:
- Comprehensive salary and equity package
- Significant opportunities for career development and advancement
- Innovative environment focused on transforming heavy industries through AI and automation
- Collaborative culture valuing innovation, discipline, and continuous improvement
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