Site Reliability Engineer

Site Reliability Engineer

Lake Buena Vista Florida 32830

22 months (~ 1 year and 10 months) Contract

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.

• 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 Dev Ops 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 our observability, monitoring, alerting, and tracing best practices across platform components (Splunk, Open Telemetry, Prometheus, App Dynamics).
• 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 Dev Ops and SRE technologies, influencing our reliability strategy across AI & platform teams.
• Ensure team compliance with our governance, security, and business continuity frameworks.

• 7+ years of SRE, Dev Ops, 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, Git Hub Actions, Git Lab, Jenkins, and Azure Dev Ops) 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.

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

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