Senior DevOps Engineer

Job Description

We are seeking an AI-focused Dev Ops Engineer for one of our legal clients to join their Global Dev Sec Ops  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 Dev Ops 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 5+ years of experience as a Dev Ops 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 Git Hub 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.