Staff DevOps Engineer

Job summary

The Staff DevOps Engineer leads platform engineering for a fleet EV charging network, scaling reliable cloud infrastructure and supporting internal tools and AI workloads. The role sets infrastructure standards, builds deployment and observability systems, strengthens security, and operates ML and data platforms using AWS, EKS, Terraform, GitHub Actions, OpenTelemetry, Grafana Cloud, Databricks, and Kafka. It also contributes to a Node.js depot operations platform and leads incident response.

Benefits

Qualifications

• At least 8 years building and operating high-availability production systems, including DevOps, SRE, or platform engineering leadership.
• Experience building and maintaining AWS, managed Kubernetes (EKS), and Terraform infrastructure.
• Experience building CI/CD pipelines and observability systems using tools such as GitHub Actions, OpenTelemetry, and Grafana.
• Experience leading SRE or DevOps initiatives for production cloud platforms.
• Experience with managed databases such as PostgreSQL or MongoDB.
• Strong communication and collaboration skills across engineering, product, and infrastructure teams.
• Preferred: experience with multi-region AWS and EKS at scale.
• Preferred: experience operating production LLM applications or agents, including monitoring, cost optimization, evaluations, and security controls.
• Preferred: experience with Databricks, Kafka, or similar data and streaming platforms.
• Proficiency in Python or Node.js.

Responsibilities

• Set technical direction for DevOps and platform engineering, mentor engineers, and establish infrastructure standards.
• Align team goals with business objectives and the technology roadmap.
• Architect and scale resilient cloud infrastructure using Terraform.
• Maintain Helm charts and service deployment patterns.
• Build CI/CD tooling and pipelines with GitHub Actions.
• Strengthen stack-wide security, detect vulnerabilities and anomalies, and automate SOC 2 controls.
• Secure AI and agentic systems against prompt injection, excessive tool permissions, and sensitive data exposure.
• Improve observability across services, infrastructure, and AI workloads using OpenTelemetry and Grafana Cloud.
• Build container-based development tools and automated production-like testing and release validation.
• Operate infrastructure for ML and internal AI workloads, including model training compute, agent and MCP server hosting, and least-privilege data access.
• Partner with the Data team on Databricks data lake and Kafka event-stream infrastructure.
• Contribute to a highly available, web-based depot operations platform using Node.js.
• Participate in on-call, lead incident response, and conduct blameless postmortems.

Skills

Work schedule

Industry

Relocation