DevOps Consultant | Harness

Job Description Role – Lead Consultant Technology – Harness platform transformation

Location – London, UK Business Unit – ENG Compensation – Competitive (including bonus)
Role

Description:

Are you passionate about driving modern Dev Ops transformations and enabling next generation software delivery? We’re looking for a Harness SME to join our team.

We’re seeking a seasoned Harness Platform Specialist with deep expertise across the Harness Software Delivery Platform, including Continuous Integration, Continuous Delivery, Security Testing Orchestration (STO), Chaos Engineering, Cloud Cost Management (CCM), and Harness AI Agents. The ideal candidate will bring hands on experience in designing scalable CI/CD architectures, migrating from legacy tool chains, implementing Dev Sec Ops  governance, and enabling teams in enterprise environments.

Proven experience in end to end CI/CD delivery, cloud platforms, Kubernetes, OPA based governance, and AI driven pipeline automation using Harness AI Agents is essential.

Roles and Responsibilities:

Lead the design, implementation, and optimization of CI/CD pipelines using the Harness platform, aligned with enterprise delivery, security, and compliance standards.

Architect and maintain end‑to‑end delivery workflows across Harness modules, including CI, CD, STO, Chaos Engineering, CCM, and emerging AI‑driven capabilities.

Implement and manage Harness Delegate installations, upgrades, image customizations, and integrations across cloud and on‑prem environments.

Collaborate with cross‑functional teams (Dev Ops, Platform, Security, App Dev) to define scalable CI/CD patterns and develop reusable pipeline templates.

Drive application onboarding to Harness, including assessments, pipeline configuration, troubleshooting, and modernization support (containerization, IaC adoption).Integrate security scanners (SAST, SCA, DAST, container scanning) through Harness STO and enforce governance and compliance using OPA policies.

Leverage Harness AI Agents to automate pipeline triaging, self‑healing tasks, intelligent remediation, and policy‑driven decision‑making across delivery workflows.

Develop and operationalize AI‑powered automation patterns—such as automated issue remediation, impact analysis, and workflow optimization—using Harness AI Agents.

Drive adoption and implementation of additional Harness modules, including the Internal Developer Portal (IDP), Feature Management & Experimentation, Chaos Engineering, and Software Engineering Insights to enhance developer experience, resilience, and engineering productivity.

Conduct capability assessments, recommend architecture enhancements, develop solution approaches, and contribute to CI/CD transformation roadmaps.

Establish standards for progressive delivery, including blue‑green, canary, rolling deployments, and automated rollback mechanisms.

Support pre‑sales and solutioning initiatives, including PoCs, demos, estimations, presentation and proposals.

Develop and enhance reusable automation assets, pipeline components, accelerators, templates, and technical documentation for consistent execution across teams.

Configure and manage infrastructure required for pipeline execution, including Kubernetes clusters, virtual machines, artifact repositories, Git platforms, and cloud services.

Ensure adherence to security, performance, scalability, and quality best practices across all CI/CD and Dev Sec Ops  implementations.

Mentor engineering teams, conduct enablement sessions, and foster continuous learning around Harness capabilities and modern Dev Ops practices.

Stay current with emerging Harness features and platform updates, continuously improving delivery blueprints and engineering standards.

Essential Qualifications Over 12 years of experience in Dev Ops, CI/CD engineering, or platform engineering roles. 3+ years of hands‑on expertise specifically with the Harness Software Delivery Platform (CI, CD, STO, Chaos, CCM).Strong practical experience in:

Designing enterprise CI/CD pipelines

Kubernetes & container orchestration

Git workflows (Git Hub, Git Lab, ADO)
YAML, Shell scripting, Python or equivalent scripting languages

Cloud platforms (AWS, Azure, or…