Manage day-to-day global compensation and equity programs, including salary structures, market analysis, and equity grant administration. Partner with Finance, Legal, and People teams to ensure competitive pay and maintain data integrity across platforms.
EarnIn
12 Remote Job Openings at EarnIn
Administer and optimize CX tooling and platforms to ensure operational efficiency and reliability for customer care systems. Manage user lifecycles, access audits, and implement automated agentic workflows to reduce resolution times.
Design, build, and maintain end-to-end Workday integrations to ensure secure and reliable data flow across HR, payroll, and finance systems. Drive architectural standards and implement AI-driven automation to improve data quality and operational efficiency.
Design and deploy AI agents to automate platform operations, incident triage, and developer workflows. Manage and optimize Kubernetes infrastructure on AWS EKS using GitOps and CI/CD practices to create 'paved roads' for product teams.
Lead the strategic vision for agentic AI to transform platform engineering and eliminate operational toil. Architect AI-powered golden paths and govern the deployment of AI agents across Kubernetes and AWS infrastructure.
Design and implement AI-native tooling and agentic workflows to accelerate engineering productivity and software delivery. Partner with engineering teams to automate high-friction workflows and integrate AI capabilities into CI/CD pipelines.
The engineer will design and develop backend services for the payroll services team while optimizing existing applications. Responsibilities include troubleshooting complex technical problems and conducting code reviews to ensure software quality.
Lead the design and implementation of scalable full-stack architectures using React, TypeScript, and Python/Django. Partner with Product and Design teams to build 0-to-1 products and mentor other engineers to improve code quality.
Design and operate resilient distributed systems while establishing observability standards using Datadog and CloudWatch. Lead incident management lifecycles and mentor engineers to improve overall system reliability and performance.
Design and operate resilient distributed systems while managing observability, alerting, and incident response lifecycles. Collaborate across teams to implement reliability tooling and practices that ensure high availability and safe deployments.
Design and implement scalable features and REST APIs while maintaining high-quality, maintainable code. Collaborate cross-functionally and mentor other engineers through architecture and code reviews.
The Staff Risk Analytics lead will own the full fraud policy lifecycle, including strategy, implementation, and real-time monitoring. They will drive cross-functional alignment across Engineering, Product, and Compliance to mitigate fraud risks while maintaining a positive customer experience.