Nexxa - Staff DevOps Engineer

Sunnyvale, California, United States+ Equity1w ago

Requirements

• 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or infrastructure-focused software engineering roles • 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 • 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

Responsibilities

• Own and evolve Nexxa's core infrastructure — compute, networking, storage, and deployment systems — end-to-end • Design and operate CI/CD pipelines that support fast, safe iteration across AI, data, and product engineering teams • Build and maintain infrastructure-as-code (e.g., Terraform, Pulumi) for reproducible, auditable environments across cloud and on-prem/edge deployments • Architect and manage Kubernetes-based platforms for training, inference, and application workloads, including GPU scheduling and autoscaling • Partner with data and AI teams to support the infrastructure behind: • Data warehouses and lakehouse architectures (e.g., Snowflake, BigQuery, Redshift, Databricks) • Feature stores, embedding indices, and retrieval pipelines • Model training, evaluation, and serving infrastructure • Define and drive observability practices — metrics, logging, tracing, and alerting — across distributed systems • Establish and enforce reliability practices: SLOs/SLIs, incident response, postmortems, and on-call rotations • Design for security and compliance across cloud infrastructure, secrets management, and access control, particularly relevant to industrial and legacy-environment integrations • Make pragmatic tradeoffs across cost, latency, reliability, and developer velocity • Collaborate with engineering leadership to define infrastructure roadmap and platform strategy • Mentor engineers on infrastructure best practices and raise the bar for operational excellence across the org

Benefits

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies • Innovative Environment: • Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement • Collaborative Culture: • Professional Growth: Benefit from significant opportunities for career development and advancement • Professional Growth: • 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.