Senior Platform Engineer

Mountain View, CAfull timeOn Site

senior

$228k–$279k

H1B: no

Earnin Senior Platform Engineer at Earnin designing, building, and operating agentic systems and core infrastructure that power the platform. The role involves working across Kubernetes (AWS EKS), GitOps (Argo CD), CI/CD (GitHub Actions), and developer portals to build AI agents and automation.

Responsibilities

AI-Agent Design and Build: Design, build, and operate AI agents in production, following established governance patterns for model selection, evaluation, and safety. Contribute to infrastructure-as-code practices for agentic systems, ensuring prompts, tools, and evaluation criteria are versioned, reviewed, and tested like any other critical component.
Technical Execution: Implement agentic patterns for cloud infrastructure in your area of ownership, applying and helping refine team best practices for production AI agents. Support and mentor less experienced engineers on agentic patterns, LLM integration, and prompt engineering as opportunities arise.
Platform Operations: Operate and improve high-availability distributed systems on AWS, identifying and resolving performance, scalability, and stability issues within your domain. Use AI-driven observability and anomaly detection to catch problems early. Evolve infrastructure-as-code and automation standards for the services you own, incorporating agentic pattern recognition and automated remediation where it adds value.
Developer Platform: 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. Help encode platform standards and security policies into AI-powered golden paths.
Reliability and Documentation: Document agentic architecture, best practices, and operational procedures for the systems you build. Participate in on-call rotations, and use post-mortems as a feedback loop to improve system reliability and your team's agentic automation.

Qualification

4+ years in cloud infrastructureStrong working knowledge of AWS (EKSStrong adherence to security

Required

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. You should be able to speak to specific agent designs or automation you've built.
Experience reducing operational toil through agentic AI (e.g., LLM-powered incident diagnosis, intelligent CI/CD with test selection, self-service assistants) on at least one meaningful workflow.
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.

Benefits

Equity/RSU

Company

Earnin

View company page

Source: greenhouse

Active within the past hour

More roles at Earnin

Marketing Associate, Rosetta Stone Consumer

San Mateo, CA

Educational Sales Consultant, Western Michigan

Remote - US

IXL Product Manager

San Mateo, CA

Curriculum Sales Consultant, Chicago

Remote - US

Boost Your Interview Chances

Improve Resume Match Score

Free

Your Score

9.0

Strong Applicant

Must-Have Skills for This Role

AWSEKSArgoCDGitHub ActionsKubernetesGitOps

Optimize my Resume

Apply Faster with Autofill

Free

Save your profile once. LumiJobs pre-fills the employer's application form so you stop re-typing the same answers on every site.

Apply With Autofill

Or skip LumiJobs's tools and submit directly on the employer's career site.

Apply on Employer Site

Senior Platform Engineer at Earnin · LumiJobs