Search jobs

Last checked Nov 1, 2026.

Required 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 (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD)
• Strong track record designing and operating observability stacks (e.g., 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) for automation and tooling
• 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

Preferred Qualifications

• Experience operating infrastructure that bridges cloud and edge/on-prem environments, especially in industrial or manufacturing contexts
• Familiarity with data warehouse/lakehouse platforms (Snowflake, BigQuery, Redshift, Databricks)
• Experience with service mesh, zero-trust networking, or compliance frameworks relevant to industrial/critical infrastructure (e.g., SOC 2, IEC 62443)
• History of building internal developer platforms or self-service infrastructure tooling
• Experience scaling infrastructure teams or setting technical direction at a Staff level

What Success Looks Like

• You can own ambiguous, high-stakes infrastructure problems end-to-end
• Systems you build stay reliable as usage and scale grow — you design for the next order of magnitude, not just today
• You bring strong technical judgment on tradeoffs between reliability, cost, and speed
• You raise the bar for operational rigor and engineering discipline across the team
• You help define what's next for the platform, not just execute what's known

Why Join Nexxa.ai ?

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies
• Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement
• Professional Growth: Benefit from significant opportunities for career development and advancement
• Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions

If you're passionate about building the infrastructure that powers advanced AI solutions in the real world, we'd love to connect.