Site Reliability Engineer

Job Location: Lake Buena Vista, Florida 32830
Job Duration: 22 months (~ 1 year and 10 months) Contract

About The Role & Team

The Lead Site Reliability Engineer will report to the Sr. Manager, Generative AI Engineering and play a key role in guiding the JedAI team’s cloud infrastructure and generative AI platform reliability strategy. You will lead infrastructure strategy across multi-cloud environments (GCP, AWS, and Azure) supporting our Generative AI and Conversational Experience platforms. You’ll modernize and manage applications including LiteLLM, Open Web UI, Archestra, Arize AX, and support back-end systems like Kafka, PostgreSQL, Redis, Vault, MongoDB, and n8n, ensuring they meet our internal UI and security standards.

Responsibilities

• Plan, design, and build Helm charts and infrastructure Terraform to maintain an annual 99.99% availability SLAs.
• Lead and mentor a team of Site Reliability Engineers and DevOps specialists within the AI platform.
• Architect, design, and maintain infrastructure environments supporting AI and data service workloads across GCP (primary), AWS (secondary), and Azure (tertiary).
• Identify, plan, and assign work for other peer team members (Jira).
• Review and provide feedback on platform sizing and volume estimations.
• Assist the capacity planning team to ensure scalability boundaries are aligned with expected workloads.
• Implement observability, monitoring, alerting, and tracing best practices across platform components (Splunk, OpenTelemetry, Prometheus, AppDynamics).
• Plan, design, and implement automated deployment processes via Harness.
• Plan, design, and implement modern enterprise rollout patterns such as blue/green deployments, canary deployments, and feature flags.
• Provide guidance to the platform architecture team with respect to solution infrastructure and scalability.
• Establish and support operational maintenance processes including backups, version updates, capacity planning, and security patching.
• Evaluate and pitch recommendations on emerging DevOps and SRE technologies, influencing reliability strategy across AI & platform teams.
• Ensure team compliance with governance, security, and business continuity frameworks.

Why This Role is Needed

• Rapid Growth and Innovation: The Digital Architecture & Engineering team is experiencing rapid growth and expansion, requiring an architect to guide the development of our platform to meet evolving user needs and business objectives.
• Complex Architecture: Our platform utilizes a complex architecture involving multiple cloud services (GCP, AWS, Azure) and technologies, requiring deep understanding to design cohesive and efficient systems.
• Technical Leadership: We need a strong technical leader who can mentor and guide our team, ensuring best practices, code quality, and efficient development processes.
• Future Proofing: The Lead Site Reliability Engineer will be responsible for designing scalable and adaptable infrastructure that can accommodate future growth, new features, and evolving technologies.

Requirements

• 7+ years of SRE, DevOps, or platform engineering experience.
• Expert in Kubernetes operations, cluster scaling, and Helm-based configuration management.
• Advanced knowledge of Terraform and Harness for automated deployment and configuration.
• Proven experience managing multi-cloud services on GCP, AWS, and Azure.
• Strong scripting in Python, Bash, and YAML for automation and reliability workflows.
• Experience with PostgreSQL, Redis, Kafka, MongoDB, and Vault in production environments.
• Proficiency in CI/CD orchestration technologies (Harness, GitHub Actions, GitLab, Jenkins, and Azure DevOps) with deployment automation, feature flags, and observability.
• Self-motivated with strong leadership ability in Agile/Scrum environments; ability to set technical direction and mentor peers.
• Strong written communication skills; particularly in clearly explaining technical topics to less-technical audiences.
• Outstanding troubleshooting and diagnostic skills across distributed systems.
• Deep understanding of system security, identity management, and data protection compliance models.

Preferred Qualifications

• Prior leadership in hybrid cloud environments.
• Experience leading large infrastructure-focused initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent relevant experience.
• Master’s degree preferred.