Staff DevOps Engineer

Nexxa is building the best AI systems for heavy industries — enabling machines, systems, and operations to think, decide, and act autonomously across manufacturing, large-scale infrastructure, logistics, and legacy environments. Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry. About The Role We're looking for a Senior/Staff DevOps Engineer who has spent the last several years building and operating the infrastructure that lets AI and industrial systems run reliably at scale. You understand what it takes to keep production ML and data workloads fast, observable, and resilient — from GPU-backed training and inference clusters to the pipelines that connect them to real-world industrial environments. This role is ideal for candidates who want deep infrastructure ownership at a company where uptime, latency, and reliability directly affect physical operations — not just software. You'll partner closely with AI, data, and product engineering teams to make sure the systems they build can actually run in production, safely and at scale. What You'll Do Own and evolve Nexxa's core infrastructure — compute, networking, storage, and deployment systems — end-to-endDesign and operate CI/CD pipelines that support fast, safe iteration across AI, data, and product engineering teamsBuild and maintain infrastructure-as-code (e.g., Terraform, Pulumi) for reproducible, auditable environments across cloud and on-prem/edge deploymentsArchitect and manage Kubernetes-based platforms for training, inference, and application workloads, including GPU scheduling and autoscalingPartner 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 pipelinesModel training, evaluation, and serving infrastructureDefine and drive observability practices — metrics, logging, tracing, and alerting — across distributed systemsEstablish and enforce reliability practices: SLOs/SLIs, incident response, postmortems, and on-call rotationsDesign for security and compliance across cloud infrastructure, secrets management, and access control, particularly relevant to industrial and legacy-environment integrationsMake pragmatic tradeoffs across cost, latency, reliability, and developer velocityCollaborate with engineering leadership to define infrastructure roadmap and platform strategyMentor engineers on infrastructure best practices and raise the bar for operational excellence across the org Required Qualifications 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or infrastructure-focused software engineering rolesDeep hands-on experience with:Cloud platforms (AWS, GCP, or Azure) at production scaleKubernetes in production, including GPU workload schedulingInfrastructure-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 plusExcellent scripting/programming skills (Python, Go, or Bash) for automation and toolingProven ability to independently scope and lead infrastructure projects from design through production rolloutStrong incident management instincts — you can lead through an outage calmly and drive toward root causePreferred Qualifications Experience operating infrastructure that bridges cloud and edge/on-prem environments, especially in industrial or manufacturing contextsFamiliarity 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 toolingExperience 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-endSystems you build stay reliable as usage and scale grow — you design for the next order of magnitude, not just todayYou bring strong technical judgment on tradeoffs between reliability, cost, and speedYou raise the bar for operational rigor and engineering discipline across the teamYou 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 technologiesCollaborative Culture: Be part of a team that values innovation, discipline, and continuous improvementProfessional Growth: Benefit from significant opportunities for career development and advancementCompetitive 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.