DevOps Engineer – Generative AI & Enterprise Web Platforms

About the role

Hewlett Packard Enterprise is seeking a hands‑on DevOps Engineer to build, automate, and operate secure delivery platforms for enterprise applications powered by Generative AI, large language models, APIs, and modern web technologies. The role is hybrid, requiring an average of two days per week onsite at the San Juan office.

Key responsibilities

• Design, maintain and improve CI/CD pipelines with automated build, test, security‑scan, deployment, rollback and release processes.
• Operate Docker workloads and Kubernetes/k3s clusters, including on‑prem developer sandboxes, configuration, upgrades and capacity planning.
• Provision and manage secure AWS infrastructure using automation, identity and access controls, networking, storage and compute resources.
• Implement observability solutions (metrics, logs, traces, dashboards, alerts) and support incident response, root‑cause analysis and resilience improvements.
• Develop reusable Python and pytest utilities to integrate API, performance, reliability and security validation into CI/CD workflows.
• Support GenAI platform operations, including deployment, tracing, safety controls, latency monitoring and cost visibility using tools such as LangSmith, LangGraph, Langfuse and MCP.
• Collaborate with engineering, quality, security and networking teams, mentor junior engineers and drive continuous improvement of platform standards.

Required profile

• Bachelor’s degree in Computer Science, AI, Machine Learning or related field.
• 4‑6 years of experience in DevOps, SRE, platform engineering or cloud operations.
• Strong problem‑solving skills, ability to analyse architecture, diagnose cross‑layer failures and communicate root causes.
• Experience mentoring less‑experienced engineers and participating in cross‑functional reviews.

Required skills

• CI/CD pipeline engineering, Git, Python, pytest, scripting.
• Docker, Kubernetes, k3s cluster operations.
• AWS services, IAM, networking, storage, compute, infrastructure‑as‑code.
• Observability tools such as Datadog, metrics, logging, tracing, alerting.
• API testing tools: JMeter, SoapUI, Postman; REST and gRPC validation.
• Networking protocols: BGP, MPLS, EVPN, VXLAN, NETCONF, RESTCONF, gRPC, SNMP, LLDP; traffic tools Ixia, Spirent.
• GenAI operations tools: LangSmith, LangGraph, Langfuse, MCP.
• GitOps, secrets management, multi‑environment/hybrid‑cloud operations.

What we offer

• Comprehensive health and wellbeing benefits.
• Personal and professional development programs.
• Inclusive culture that values diverse backgrounds.
• Flexibility to balance work and personal needs.