DevOps / AI Engineer We are looking for a DevOps / AI Engineer with strong experience in modern DevOps practices and emerging GenAI-enabled engineering capabilities for our client ( Global IT services and consulting company) and end client is a Bank. The ideal candidate will be responsible for delivering end-to-end software delivery lifecycle solutions while ensuring reliability, scalability, security, and compliance in enterprise environments. Role Focus • End-to-end software delivery lifecycle • 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 • CI/CD Tools: Jenkins, GitLab CI, Azure DevOps • Containerization: Docker, Kubernetes • 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) Ideal for someone who: Enjoys working independently, thrives in enterprise environments, and is passionate about combining DevOps with cutting-edge AI capabilities. Interested or know someone who fits? Feel free to reach out or apply! Hiring DevOps AI GenAI PlatformEngineering Cloud Kubernetes Terraform Jenkins