Responsibilities
- Design and build MCP servers that expose platform capabilities as safe, scoped tools for AI agents and developer assistants.
- Develop agentic platform-operations workflows for incident triage, deployment validation, configuration remediation, and capacity planning.
- Drive AI-assisted code review and developer tooling with tool use, validation steps, and human-in-the-loop gates.
- Operationalize LLM features through structured prompting, RAG, output validation, evaluation harnesses, and LLM gateway/router patterns.
- Design and evolve GitOps continuous delivery and Kubernetes infrastructure on AWS EKS using Terraform, Helm, and Kustomize.
- Improve observability, reliability, SLOs, error budgets, MTTD, and MTTR through automation and operational practices.
- Extend the developer control plane with paved paths, scorecards, and self-service actions.
- Build FinOps automation for compute, observability, and AI/LLM costs to identify waste and support cost-aware decisions.
- Define success metrics and run time-bound experiments measuring developer efficiency, reliability, and cost impact.
- Document usage guidance, patterns, and best practices for adopting proven AI workflows.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- At least 4 years of platform, infrastructure, or backend engineering experience operating production systems in a cloud environment, preferably AWS.
- Strong Python and/or Go coding skills with experience building and operating production services.
- Deep experience with Kubernetes, preferably EKS, GitOps with Argo CD, CI/CD with GitHub Actions, and Terraform, Helm, and Kustomize.
- Solid observability experience with Datadog APM, metrics, tracing, and logs, including reliability improvements and SLO/error-budget practices.
- Hands-on experience building or integrating MCP servers, including tool-surface design, scope and authorization management, and infrastructure integration.
- Production experience with structured or agentic AI workflows, including planning/execution separation, human-in-the-loop validation, RAG, and tool-use patterns.
- FinOps experience covering cloud cost attribution, workload optimization, and AI/LLM spend control.
- Familiarity with LLM gateway and router patterns for cost control, model routing, and AI workload observability.
- Clear communication and effective collaboration with partner teams in a distributed environment.
- Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or ChatGPT.
Benefits
- Hybrid work arrangement in the Bengaluru office with 2 days on-site
- Healthcare benefits
- Internet and cell phone reimbursement
- Learning and development stipend
- Potential opportunities to travel to the Mountain View headquarters
- Visa sponsorship and immigration support are not provided
Tech Stack
Categories
About EarnIn
EarnIn lets you access your money as you earn it — not days or weeks later. We’re reimagining the way money moves to make financial momentum accessible to everyone. That starts with payday every day and builds with tools like credit monitoring, automated savings accounts, and low-balance protection. All with no interest, no credit checks, and no mandatory fees. So our customers have as many options as possible to save and spend on their terms. EarnIn’s pioneering Earned Wage Access app is backed by world-class partners like A16Z, Matrix Partners, and DST. Since our founding in 2013, 3.8 million customers have given it over 380,000 5-star reviews for helping them access over $15 billion in earnings. That means: - 49% can now cover an unexpected expense of $400 since using EarnIn - 73% can budget more effectively with EarnIn - 66% have been able to pay bills on time with EarnIn’s help We’re proud of that impact. Because no one should feel stuck — held back from their ambitions, their life — simply because they can’t access the money they’ve already earned. That’s why EarnIn is here, to help people move forward with the lives they want today and the goals they have for tomorrow. Join us. EarnIn is a financial technology company, not a bank. The Deposit Account, Secured Account, and EarnIn Card are issued by Evolve Bank & Trust, Member FDIC. The EarnIn Card is issued pursuant to a license from Visa USA Inc.