AI-Driven Platform Lead | CI/CD & DevOps

Regnology; United States; Remote; USD 180,000 - 230,000; Full time

Job summary

Regnology is seeking a Senior Build Manager to own the developer platform and CI/CD ecosystem, driving automation and AI augmentation across engineering. You will shape architecture, set standards, and mentor engineers in DevOps, platform engineering, and AI adoption.

You will lead cross-functional efforts with security and product teams to improve reliability, observability, and developer productivity while advocating secure, scalable AI integration.

Qualifications

• 5+ years in DevOps, CI/CD, or Platform Engineering with ownership of production systems.

Responsibilities

• Own the design, evolution, and reliability of CI/CD and developer platform architecture.
• Evaluate and adopt new CI/CD, platform engineering, and AI-driven technologies.
• Lead implementation of AI-powered developer productivity solutions and internal AI agents.
• Define patterns for integrating AI with MCP or similar frameworks for secure interactions.
• Drive a self-service internal developer platform enabling teams to deploy and operate services.
• Provide technical leadership and mentorship to engineers on DevOps, platform engineering, and AI adoption.
• Collaborate with engineering, security, and product teams to improve developer experience and reliability.
• Define observability, reliability, and cost optimization strategies.

Skills

DevOps

CI/CD

Platform engineering

GCP

Observability

Security

Python

Bash

Mentoring

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Jenkins

Linux

Terraform

Kubernetes

Docker

Helm

GKE

Prometheus

Grafana

Elastic

Job description

Regnology is seeking a Senior Build Manager to own the developer platform and CI/CD ecosystem, driving automation and AI augmentation across engineering. You will shape architecture, set standards, and mentor engineers in DevOps, platform engineering, and AI adoption.

You will lead cross-functional efforts with security and product teams to improve reliability, observability, and developer productivity while advocating secure, scalable AI integration.