Job Title: 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 (Google Cloud Platform, 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.
What You'll Do - 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 our AI platform.
- Architect, design, and maintain infrastructure environments supporting AI and data service workloads across Google Cloud Platform (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, 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 our reliability strategy across AI & platform teams.
- Ensure team compliance with our 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 mobile platform to meet evolving user needs and business objectives.
Complex Architecture - Our mobile application utilizes a complex architecture involving Flutter, Server Driven UI, Node.js, Typescript, Runtime, and Cloud services (AWS/Google Cloud Platform).
- This requires a deep understanding of these technologies and the ability to design a cohesive and efficient system.
Technical Leadership - We need a strong technical leader who can mentor and guide our development team, ensuring best practices, code quality, and efficient development processes.
Future Proofing - The Lead Software Architect will be responsible for designing scalable and adaptable architecture that can accommodate future growth, new features, and evolving technologies.
What You Will Do - Define and implement the overall mobile architecture, including backend integration, and data management.
- Lead the development of new features and functionalities, ensuring alignment with business requirements and user needs.
- Collaborate with cross-functional teams (design, product, backend) to ensure seamless integration and optimal user experience.
- Develop and maintain technical documentation, including architecture diagrams, design specifications, and coding standards.
- Mentor and guide junior developers, fostering a culture of continuous learning and improvement.
- Stay abreast of emerging technologies and trends in mobile development, identifying opportunities for innovation and improvement.
Basic Qualifications: - 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 Google Cloud Platform, 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.
Education - Bachelor's degree in Computer Science, Information Systems, or equivalent relevant experience.
- Master's degree preferred.
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