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About the role
Senior Engineering Expertise: BS in EE/CS with 8+ years of experience or MS in EE/CS or other applicable disciplines with 6+ years of experience
Enterprise Backend Mastery: Deep proficiency in Java, Kotlin, and the Spring Boot framework, with the versatility to design, build, and scale distributed microservices.
Robust Data Integration: Hands-on experience with RESTful APIs, GraphQL, and event-driven patterns (such as GCP Pub/Sub) to power high-performance applications.
Modern Cloud Infrastructure: Familiarity with cloud-native architectures (specifically GCP, Firestore, Spanner, and Cloud Functions) and modern CI/CD pipelines to maintain a high-velocity development environment.
Quality & Testing Rigor: Disciplined approach to automated testing (unit, integration, and contract tests) and system observability to ensure services are meticulous, secure, and trustworthy.
AI-Forward Mindset: Active use of AI coding assistants (Cursor, Copilot) and a commitment to exploring new AI developments to enhance team productivity and solve product problems.
Extreme Ownership: A proactive, high-accountability approach to driving projects to completion and unblocking yourself to deliver outcomes, not just outputs.
User-Centric Advocacy: A deep focus on system reliability and financial accuracy, sweating the details to protect the "borrower behind the screen" and preserve trust in a regulated domain.
Collaborative Leadership: Excellence in cross-functional communication and a dedication to elevating the team through clear mentorship and knowledge sharing.
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