DevOps & Engineering Enablement Engineer

We are looking for a DevSecOps & Engineering Enablement Engineer to establish and operate a consistent, secure, and reliable process for moving code from development to production for the future SSOE platform.

You will centrally manage the tools, pipelines, standards, and automation that engineering teams use to build, test, review, secure, and deploy their code.

The objective is to ensure that code progressing towards production is not only deployed successfully, but is also functionally working, secure, tested, and of the required quality. Relevant security, testing, and quality gates should be built directly into the delivery process and applied consistently across engineering teams.

You will also drive the responsible use of AI within the software development lifecycle, including AI-assisted code review, testing, security analysis, documentation, and engineering feedback.

What You Will Be Working On

As a DevSecOps & Engineering Enablement Engineer, you will provide the common engineering capabilities used by application, observability, platform, data, and infrastructure teams across SSOE Common Services.

Engineering teams remain responsible for the software and services they build. You will own and continuously improve the paved road from code to production.

The aim is to provide engineering teams with a common and automated route from development to production, with security, quality, and functional verification built into the process rather than performed separately at the end.

Key Responsibilities

Software Delivery and CI/CD

· Own and operate the common CI/CD capabilities used across SSOE Common Services

· Design and maintain reusable pipelines for building, testing, validating, and deploying software

· Establish consistent processes for promoting changes through development, testing, staging, and production environments

· Define the security, quality, testing, and approval gates required at each stage of the software delivery lifecycle

· Automate deployment and post-deployment functional verification wherever appropriate

· Ensure applications and services are verified to be healthy and functioning as expected before a deployment is considered successful

· Support deployments across on-premise, GCC, AWS, Azure, and hybrid environments

· Ensure failed deployments can be stopped, retried, recovered, or rolled back safely

· Reduce manual deployment activities through repeatable and auditable automation

· Continuously improve pipeline reliability, execution time, developer feedback, and deployment success rates