Staff DevOps Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nexxa.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🏗️ Construction

🏭 Manufacturing

📦 Logistics

Construction • Manufacturing • Logistics

Nexxa. ai is an industrial AI company building agentic automation for industrial operations. Its platform learns from engineers and employees to take over complex, repetitive workflows, autonomously setting goals and execution criteria to increase productivity and resilience. Delivered as an integrated solution that works with existing technology stacks, Nexxa. ai positions itself as a SaaS-like enterprise tool that generates immediate ROI for operations teams.

📋 Description

• 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