Description
About the Role
We are seeking a Senior Platform Engineer to join our team at EarnIn. As a Senior Platform Engineer, you will design, build, and operate the agentic systems and core infrastructure that power our platform.
Position Summary
You will work across Kubernetes (AWS EKS), GitOps (Argo CD), CI/CD (GitHub Actions), and our developer portal (Cortex), building AI agents and automation that reduce operational toil and increase platform leverage for engineering teams across EarnIn.
Responsibilities
- Design, build, and operate AI agents in production, following established governance patterns for model selection, evaluation, and safety.
- Implement agentic patterns for cloud infrastructure in your area of ownership, applying and helping refine team best practices for production AI agents.
- Operate and improve high-availability distributed systems on AWS, identifying and resolving performance, scalability, and stability issues within your domain.
- Contribute to the evolution of our developer control plane (Cortex) as an AI-augmented self-service platform, building features that let engineers scaffold services, debug deployments, and resolve issues through natural language.
- Document agentic architecture, best practices, and operational procedures for the systems you build.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 4+ years in cloud infrastructure, working on large-scale, high-availability, customer-facing distributed systems.
- Experience mentoring junior engineers and leading well-scoped platform initiatives within your team.
- Hands-on experience building and operating AI-driven systems in production, including agentic workflows that perform operational tasks.
- Strong working knowledge of AWS (EKS, Lambda, Bedrock, etc.) and experience with containerized and serverless architectures.
- Solid expertise in Kubernetes at scale and ability to implement complex, resilient solutions with guidance from senior/staff engineers.
- Strong knowledge of infrastructure-as-code tools (Terraform, Ansible) and experience applying both traditional IaC and agentic automation.
- Strong command of Datadog and observability practices, using metrics to drive decisions.
- Experience building AI-driven alerting or root-cause analysis systems is a plus.
- Strong adherence to security, privacy, and compliance best practices, with awareness of governance considerations for production AI systems (model safety, prompt injection prevention, data isolation).
- Experience with LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI, or custom agentic architectures) and production prompt engineering.
- Strong coding ability in Python and/or Go, with experience treating infrastructure and agentic systems as software.
- Ability to collaborate effectively across engineering, product, and security teams on cross-functional work.
Benefits
The base salary range for this full-time position is $228,000-$279,000, plus equity and benefits.