A technology solutions firm in the United Kingdom is looking for an expert in CI/CD and GenAI practices. The successful candidate will design and maintain CI/CD pipelines and automate infrastructure using tools like Ansible and Terraform. Candidates should have strong scripting skills and the ability to manage work independently while ensuring compliance with enterprise regulations. Familiarity with GenAI platforms and DevSecOps is highly desirable.
Qualifications
Strong understanding of enterprise environments, controls, and compliance requirements.
Ability to manage work and deliverables independently.
Experience supporting GenAI platforms/services in production.
Responsibilities
Design, implement, and maintain CI/CD pipelines.
Automate infrastructure provisioning and configuration.
Ensure high availability, scalability, and security of systems.
Collaborate with developers to streamline releases.
Troubleshoot deployment and infrastructure issues.
Implement guardrails for GenAI usage.
Skills
Bash
Python
Shell
Ansible
Terraform
Git
Bitbucket
Jira
Confluence
Job description
Overview
Infrastructure as Code (IaC), CI/CD, monitoring, and system reliability
Strong understanding of enterprise environments, controls, and compliance requirements
Ability to manage work and deliverables independently
Ability to support GenAI-enabled engineering practices (e.g., AI-assisted development/operations) while adhering to enterprise governance, security, and risk controls
Key Responsibilities
Design, implement, and maintain CI/CD pipelines (e.g., Jenkins)
Automate infrastructure provisioning and configuration (e.g., Ansible, Terraform)
Ensure high availability, scalability, and security of systems
Collaborate with developers, QA, and IT operations to streamline releases
Troubleshoot deployment, build, and infrastructure issues
Maintain configuration management tools (Ansible)
Ensure compliance with enterprise controls and regulatory requirements
Work independently to deliver on assigned tasks and projects
Utilize Jira and Confluence for work tracking and documentation
Enable and operationalise GenAI/LLM-based tooling in the DevOps toolchain (where approved), including secure access, environment configuration, and integration into CI/CD workflows
Implement guardrails for GenAI usage (e.g., data handling, prompt/content logging where required, secrets protection, model/tool access controls) aligned to enterprise policies
Support reliability and observability for GenAI-enabled services (e.g., monitoring latency, error rates, cost/usage, and drift/quality signals where applicable)
Core Skills
Scripting/Programming: Bash, Python, Shell
Infrastructure as Code: Ansible, Terraform
Source Control: Git, Bitbucket
Security & Compliance: Understanding of DevSecOps, secrets management, enterprise controls, and compliance
Familiarity with Jira and Confluence
GenAI/LLM Fundamentals: Understanding of LLM concepts (prompting, embeddings, RAG, model limitations), and how to apply them safely in engineering workflows
GenAI Tooling & Integration: Experience using and integrating GenAI-assisted tools (e.g., code assistants, chat-based ops assistants) and/or APIs into developer/DevOps workflows
Responsible AI & Data Handling: Awareness of privacy, IP, data classification, and secure usage patterns when working with GenAI tools in enterprise environments
Preferred
Experience supporting GenAI platforms/services in production (e.g., model/API deployment patterns, prompt/version management, evaluation/monitoring, and cost controls)