• Design and deliver AI solutions • Take ownership of complex system design • Perform hands-on technical development • Act as technical lead across project teams • Build and optimize ML and GenAI pipelines

• Design, build, and evolve backend systems that support enrollments, payments, payroll, and benefits management. • Architect and maintain robust data models and funds flows that handle millions of dollars in transactions. • Build integrations with payroll providers, banks, insurance carriers, and other external partners. • Improve operational rigor through automation, tooling, monitoring, and observability. • Partner closely with product, operations, and other engineers to solve complex business problems. • Take ownership of production systems, including reliability, debugging, and long-term maintainability

• Build and maintain scalable backend services and APIs using Node.js (NestJS) , writing clean, testable, maintainable code. • Design and implement complex features with a long-term view (extensibility, stability, and operability). • Improve architecture and maintainability across core systems (clear boundaries, clean interfaces, pragmatic patterns). • Own performance and reliability outcomes: monitor production, identify bottlenecks, optimize latency, and strengthen resilience. • Collaborate with DevOps to keep CI/CD, deployments, and infrastructure stable and efficient (cloud, containers, orchestration/IaC). • Partner with Product, Design, Frontend, and QA to ship high-quality releases, translating requirements into clear technical specs and trade-offs. • Raise the engineering bar via code reviews, mentoring, and standards that improve team output over time.

• Leading and managing the migration tasks of their customer systems to new technology, like Virtual Machines to Kubernetes cluster. • Addressing licensing challenges and implementing the identified workaround. • Creating templates as part of the architecture initiative for new Java projects. • Establishing structured and standardized processes for future development and collaborating with the team for their insights and suggestions. • Maintaining a single migration script using Liquibase and testing all applications on the migrated database based on the migration scripts. • Addressing service request concerns, performing root-cause analysis, and troubleshooting bug-related tickets, liaising and cooperating with QA Engineers and other team members as required.