EarnIn

EarnIn

EarnIn is a fintech company revolutionizing access to earned wages, providing up to $750 per pay period with no fees, empowering users to manage their finances on the go.

Professional Services
51-250
Founded 2012
$190M raised

Description

  • Design, build, and iterate on AI agents that automate platform operations such as bootstrap, incident diagnosis, runbook execution, self-healing, and PR review.
  • Own the lifecycle of AI agents, including prompt engineering, tool orchestration, evaluation, and production monitoring.
  • Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.
  • Support Kubernetes infrastructure on AWS EKS, including environment hygiene, security, cluster tasks, updates, anomaly detection, capacity recommendations, and automated remediation.
  • Use Cortex to maintain paved paths and self-service actions that reduce friction from idea to production.
  • Monitor SLOs and error budgets and use Datadog metrics, traces, and logs to improve reliability.
  • Develop platform services that support operational excellence for Data, CI/CD, and Security.
  • Maintain service scaffolds and templates that encode testing and telemetry standards and align with platform baselines.
  • Collaborate with DevX, SRE, and Product Engineering partners to turn fragmented workflows into AI-powered golden paths.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in platform, infrastructure, or backend engineering.
  • Deep knowledge of Kubernetes, including AWS EKS, and cloud-native architectures on AWS.
  • Demonstrated experience building AI agents or agentic workflows that autonomously perform operational tasks.
  • Track record of automating repetitive workflows with AI-driven solutions.
  • Experience with GitOps using Argo CD and CI using GitHub Actions for multi-service systems.
  • Strong coding skills in Go and/or Python.
  • Excellent communication skills with the ability to clearly convey technical issues and advocate for team and customer needs.
  • Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or custom agent architectures, plus prompt engineering for production systems.
  • Experience with service mesh tools such as Linkerd and traffic management patterns is a plus.
  • Hands-on contributions to developer productivity insights and observability for cost-aware engineering decisions is a plus.

Benefits

  • Remote position, with hybrid work available from the Mexico City office.
  • Healthcare benefits.
  • Internet and cell phone reimbursement.
  • Learning and development stipend.
  • Potential opportunities to travel to the Mountain View headquarters.
  • Salary determined by role, level, and location.

Interested in this position?

Apply directly on the company website

Apply Now

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