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.
EarnIn
12 Remote Job Openings at EarnIn
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.
Drive the design and implementation of high-quality backend features and robust microservices using REST/gRPC and messaging patterns. Collaborate cross-functionally to debug production issues and mentor other engineers through code and architecture reviews.
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, develop, and operate foundational trust services including identity verification, PII tokenization, and secure file handling. Collaborate cross-functionally to integrate these capabilities across the company's product suite and maintain operational excellence through on-call rotations.
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 Compliance Analyst will identify regulatory risks for new products and services while improving compliance processes through data and technology. They will monitor the implementation of corrective actions and ensure adherence to internal policies and controls.
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-enabled solutions to improve data quality and operational efficiency.
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.
