Staff DevOps Engineer
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Job Description
Staff DevOps Engineer owning reliable, scalable infrastructure for Nexxa’s AI systems. Supporting machine learning workloads across heavy-industry operations.
Responsibilities:
- Own and evolve Nexxa's core infrastructure, including compute, networking, storage, and deployment systems, end-to-end
- Design and operate CI/CD pipelines supporting safe iteration across 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 covering metrics, logging, tracing, and alerting across distributed systems
- Establish reliability practices including SLOs/SLIs, incident response, postmortems, and on-call rotations
- Design security and compliance across cloud infrastructure, secrets management, and access control
- Make pragmatic tradeoffs among cost, latency, reliability, and developer velocity
- Collaborate with engineering leadership on infrastructure roadmap and platform strategy
- Mentor engineers on infrastructure best practices and promote operational excellence
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 experience with Terraform, Pulumi, or equivalent
- CI/CD systems experience, including 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 through outages and drive root-cause analysis
- Experience with cloud and edge/on-prem infrastructure, especially industrial or manufacturing contexts
- Familiarity with Snowflake, BigQuery, Redshift, or Databricks
- Experience with service mesh, zero-trust networking, or industrial/critical-infrastructure compliance frameworks such as SOC 2 or IEC 62443
- History of building internal developer platforms or self-service infrastructure tooling
- Experience scaling infrastructure teams or setting technical direction at Staff level
Benefits:
- Significant opportunities for career development and advancement
- Comprehensive salary and equity package
- Innovative environment focused on transforming heavy industries through AI and automation
- Collaborative culture valuing innovation, discipline, and continuous improvement
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