Design and implement AI-driven automation for platform operations at EarnIn.
•We are the Platform-as-a-Service Engineering team at EarnIn.
•We build the foundational 'Paved Road' that enables our product teams to ship with velocity and safety.
•Our stack is built on AWS, EKS, and Argo CD, but our future is Agentic.
•We are shifting from manual configuration to AI-augmented orchestration.
•Key Responsibilities AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations.
•Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.
•Kubernetes Infrastructure: Support our Kubernetes platform on AWS EKS, with a focus on environment hygiene and security.
•Developer Experience: Utilize our developer control plane (Cortex) to maintain paved paths and self-service actions.
•Observability & Excellence: Strengthen operational excellence by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs.
•Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS.
•Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi-step AI systems that autonomously perform operational tasks.
•Experience in GitOps (Argo CD) and CI (GitHub Actions) for multi-service systems.
•Strong coding skills in Go and/or Python, treating infrastructure as software.
•Excellent communication skills; able to clearly convey technical issues and advocate for both the team's and the customer's needs.
healthcare, internet and cell phone reimbursement, learning and development stipend, potential opportunities to travel to our Mountain View headquarters