Senior DevOps Engineer

We are seeking an AI-focused DevOps Engineer for one of our legal clients to join their Global DevSecOps team. This role will focus on designing, implementing, and supporting cloud infrastructure and platform solutions that enable AI-powered applications and services across the organization. The ideal candidate will have a strong AWS background combined with hands-on DevOps expertise and a practical understanding of how AI technologies integrate into modern software development environments. This individual will partner closely with engineering and product teams to build scalable infrastructure, automate deployments, and support AI-driven capabilities within enterprise systems. This role requires someone who is technically strong, comfortable influencing architectural decisions, and capable of providing direct recommendations when proposed solutions may not align with platform standards, security requirements, or long-term scalability goals.

• 5+ years of experience as a DevOps Engineer, Platform Engineer, Infrastructure Engineer, or related role.

· Strong AWS experience, including cloud infrastructure design, administration, and architecture.

· Experience supporting and integrating AI/LLM technologies within enterprise applications and development pipelines.

· Understanding of how large language models (LLMs) and AI services are deployed, managed, and integrated into existing systems.

· Experience implementing AI-enabled workflows, automation, and platform solutions.

· Knowledge of MCP (Model Context Protocol) servers and AI tooling integrations.

· Experience building and maintaining CI/CD pipelines using GitHub Actions.

· Hands-on experience with Kubernetes administration and deployment, including EKS.

· Strong Infrastructure as Code experience using Terraform, Ansible, and Packer.

· Experience working closely with product and engineering teams to design scalable, reliable cloud solutions.

· Understanding of networking fundamentals including DNS, VPNs, load balancers, gateways, and security controls.

· Strong troubleshooting and root cause analysis skills.

· Excellent communication and stakeholder management skills.

Confident decision-maker with the ability to challenge requirements, provide technical guidance, and push back when necessary.