DevOps Engineer - GenAI-Powered Enterprise Platforms

Hewlett Packard Enterprise Company; Friday Harbor (WA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a hands-on DevOps Engineer for Generative AI and Enterprise Web Platforms. The role blends CI/CD, container orchestration, and cloud operations to deliver secure, scalable platforms for AI-powered enterprise apps.

You will collaborate with many teams to automate operations, monitor performance, and improve release reliability across on-prem and AWS environments, with hybrid work and an office presence required.

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline.
• 4–6 years of relevant experience in DevOps, Site Reliability Engineering, platform engineering, cloud operations, or production engineering.

Responsibilities

• CI/CD and release engineering: Design, maintain , and improve automated build, test, security-scan, deployment, rollback, and release pipelines across development and production environments.
• Container platforms: Operate Docker-based workloads and Kubernetes or k3s clusters, including on-premises developer sandboxes, configuration, upgrades, capacity, and troubleshooting.
• Cloud and infrastructure automation: Provision and manage secure AWS infrastructure using repeatable automation, sound identity and access controls, networking, storage, compute, and environment configuration practices.
• Observability and reliability: Implement metrics, logs, traces, dashboards, alerts, service-level indicators, and operational runbooks; support incident response, root-cause analysis, capacity planning, and resilience improvements.
• Automation and validation: Build reusable Python and pytest utilities and integrate API, performance, reliability, security, and end-to-end validation into CI/CD workflows.
• GenAI platform operations: Support deployment, tracing, regression checks, safety controls, latency monitoring, failure recovery, and cost visibility for LLM and agent-based services using tools such as LangSmith , LangGraph , Langfuse , and MCP.
• Collaboration and continuous improvement: Partner with engineering, quality, security, and networking teams, participate in design and operational reviews, mentor less-experienced engineers, and drive practical improvements to platform standards and developer experience.

Skills

CI/CD

Python

Git workflows

Automation

Container orchestration

AWS

Observability

APIs testing

Networking basics

LangSmith

LangGraph

Langfuse

MCP

Education

Bachelor's degree in Computer Science/ML/AI or related field

Tools

Docker

Kubernetes

k3s

Datadog

Postman

JMeter

SoapUI

Job description

Hewlett Packard Enterprise is seeking a hands-on DevOps Engineer for Generative AI and Enterprise Web Platforms. The role blends CI/CD, container orchestration, and cloud operations to deliver secure, scalable platforms for AI-powered enterprise apps.

You will collaborate with many teams to automate operations, monitor performance, and improve release reliability across on-prem and AWS environments, with hybrid work and an office presence required.