Principal Agentic CI/CD Engineer (AI-Driven DevOps, GCP, Harness)

ZipRecruiter; London; Hybrid; GBP 200,000 +; Full time

Job summary

A digital banking client is seeking a Principal Agentic CI/CD Engineer to lead a major initiative involving migrating to an agent-driven CI/CD framework utilizing Harness and GCP. This role involves architecting dynamic systems for automated software delivery. Candidates should have strong Python skills and experience with modern CI/CD platforms such as Jenkins and Terraform. The position is hybrid and offers a contract starting at 6 months with a likelihood of extension.

Qualifications

• Deep hands-on experience with Jenkins (Shared Libraries, Docker builds).
• Knowledge of GCP ecosystem, especially GKE, VPC & Networking.
• Strong Python skills for automation and system integration.

Responsibilities

• Lead the strategic shift from Jenkins to Harness, redesigning CI/CD.
• Use Terraform to manage a sophisticated Google Cloud environment.
• Engineer robust integrations between Harness, SonarQube, and GAR.

Skills

CI/CD Mastery

Google Cloud Expertise

Advanced Scripting

Tools

Jenkins

Terraform

Google Cloud Platform

Python

Job description

Job Description

Principal Agentic CI/CD Engineer (AI-Driven DevOps, GCP, Harness)

Location: London | Hybrid & Remote

Contract: 6 Months (Initial) with strong likelihood of extension

Rate: Competitive Market Rate (Inside IR35)

Are you ready to build the future of software delivery? We're not just migrating pipelines; we're rearchitecting an intelligent, autonomous delivery ecosystem. We are seeking a visionary Principal Agentic CI/CD Engineer to lead a landmark initiative for our digital banking client. Your mission will be to transition from a traditional Jenkins setup to a sophisticated, agent-driven CI/CD framework powered by Harness and Google Cloud Platform (GCP). This is more than a DevOps role; you will be the architect of a system where autonomous agents manage, optimize, and secure the software lifecycle. If you are passionate about building self-governing systems and pioneering the future of AI in engineering, this is your opportunity.

What You Will Architect:

1. The Agentic Migration: Lead the strategic shift from Jenkins to Harness, redesigning CI/CD as a dynamic, event-driven system capable of autonomous decision-making.
2. Intelligent Infrastructure as Code: Use Terraform to define and manage a sophisticated Google Cloud environment (GKE, VPC, VDC) that can adapt and scale with minimal human intervention.
3. Autonomous Tooling Ecosystems: Engineer robust integrations between Harness, SonarQube, Nexus, and Google Artifact Registry (GAR), creating a seamless, self-orchestrating flow from code to cloud.
4. AI-Powered Automation Scripts: Leverage your expertise in Python to build logic that powers our agents, automating workflows, security checks, and operational tasks.

Your Technical Toolkit:

• CI/CD Mastery: Deep hands-on experience with Jenkins (Shared Libraries, Docker builds) and exposure to Harness or similar modern platforms.
• Google Cloud Expertise: Knowledge of GCP ecosystem, especially GKE, VPC & Networking, GAR, and Infrastructure as Code with Terraform.
• Advanced Scripting: Strong Python skills for automation and system integration.

Who You Are:

• A Visionary: Thinks beyond immediate tasks towards building intelligent, resilient, and autonomous systems.
• A Pioneer: Excited by large-scale migrations and solving complex problems with next-generation solutions.
• A Collaborator: Can communicate complex technical concepts clearly and work effectively within a high-performing team.
• A Pragmatist: Balances innovation with the secure, robust delivery required in a digital banking environment.

Logistics:

• Contract: 6 months initial, with a strong view to long-term extension.
• Start Date: ASAP
• IR35 Status: Inside IR35. An FCSA-approved umbrella company must be used.

Reference: JSswxgcp8984561-AI

This is your chance to go beyond traditional DevOps and become a pioneer in the field of Agentic AI. Apply now to lead this transformation.