Staff Platform Engineer

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of experience in cloud infrastructure, managing large-scale, high-availability, customer-facing distributed systems.
• Proven experience mentoring senior engineers and leading company-wide platform ini

Benefits

Additional Information

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We're growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY 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 ArgoCD, but our future is Agentic. We are shifting from manual configuration to AI-augmented orchestration, in which the platform anticipates developers' needs and self-heals through intelligent automation. We're seeking a Staff Platform Engineer (I5A) who is a strategic leader and AI-native architect. You will set the vision and strategy for how agentic AI transforms platform engineering, architect solutions across Kubernetes (AWS EKS), GitOps (Argo CD), CI/CD (GitHub Actions), and our developer portal (Cortex), and mentor senior engineers to build and operate AI agents that eliminate toil and multiply platform leverage. As a Staff Engineer, you are a thought leader across the organization. You will define the technical direction for agentic patterns, drive company-wide adoption of AI-driven workflows, and establish frameworks and best practices that enable your team and other platform teams to design and deploy production AI systems with confidence. You will architect solutions that turn fragmented workflows into AI-powered golden paths, designing agents to handle incident triage, environment provisioning, config generation, and developer self-service, so engineers across EarnIn can focus on high-value work instead of operational toil. This is a remote position, though it could also be a hybrid role from our Mexico City office as part of our expanding site. EarnIn offers excellent benefits for our employees, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View headquarters. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.

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