Requirements

Bachelor’s or Master’s degree in Computer Science or related field
8+ years of experience building scalable cloud-native applications using Python, Node.js, or similar frameworks
8+ years of experience in cloud platforms (AWS preferred)
8+ years of experience designing and implementing CI/CD pipelines and SDLC automation (Jenkins, CloudBees, Spinnaker, etc.)
8+ years of experience with Infrastructure-as-Code and platform automation tools (Terraform, Helm, Ansible, etc.)
Experience with containerized and distributed systems using Docker and Kubernetes
Strong understanding of cloud networking, observability, and distributed system design
Strong troubleshooting, debugging, and incident resolution skills
Experience creating operational documentation (runbooks, engineering guides, system design docs)
Strong collaboration and communication skills across engineering teams
Hands-on experience building and deploying production AI/ML systems
Experience with agentic AI systems or LLM-based automation workflows (tool use, orchestration, autonomous agents)
Proven ability to operate at a Senior Engineer level, combining hands-on execution with architecture ownership and technical leadership

Nice to Haves

Experience building AI-powered developer tools or platform automation systems
Experience with AWS AI/ML services such as Bedrock or equivalent LLM platforms
Experience designing agent-based workflows for automation or developer productivity
Experience building large-scale distributed systems in production environments
Strong background in DevOps, platform engineering, and infrastructure scalability
Experience with event-driven and microservices architectures
Familiarity with Agile/Scrum and modern CI/CD practices
Demonstrated experience improving developer experience (DevEx) at scale

Own and drive the architecture and evolution of developer onboarding and enablement platforms
Standardize and improve service deployment processes across application teams
Accelerate onboarding and deployment timelines through scalable platform automation
Design and implement cloud-native automation to reduce manual effort across onboarding workflows
Build and support developer enablement tooling and internal platform services
Provide hands-on technical guidance and support for developers using internal platforms
Troubleshoot complex platform and integration issues across distributed systems
Collaborate with application and platform teams to ensure evolving developer needs are met
Design and implement AI/ML and agentic AI solutions to automate onboarding, enhance troubleshooting, and improve developer self-service capabilities
Apply AI-driven automation to improve platform efficiency, reliability, and developer experience at scale
Define and contribute to technical roadmap planning for platform modernization and automation initiatives
Create and maintain high-quality technical documentation, runbooks, and enablement materials
Stay current with emerging technologies in cloud platforms, AI/ML, and agentic AI systems

You are a senior-level cloud platform engineer who thrives in building scalable systems that improve developer productivity
You have deep hands-on experience in AI/ML and production-grade agentic AI systems
You have owned architecture for complex distributed platforms and driven technical direction across teams
You are equally comfortable designing systems and implementing critical components
You excel at building automation that reduces friction and improves developer experience
You have a strong track record of delivering platform-level impact in large-scale engineering organizations
You are motivated by solving complex infrastructure and onboarding challenges at scale