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About the role
- Software Engineering: Design, build, test, and maintain high-quality software systems and services. Write clean, efficient, and maintainable code with a strong focus on correctness, scalability, reliability, and operational excellence. - Technical Ownership & Architecture: Lead the technical design and delivery of distributed, enterprise-scale systems and services. Contribute to architecture reviews, service decomposition strategies, API design, event-driven integrations, and data modeling decisions that support scalability, maintainability, and resilience. Own services end-to-end, including implementation, CI/CD automation, deployment, observability, operational health, and ongoing production support. - AI-Augmented Engineering: Use AI-assisted development tools such as GitHub Copilot, Claude, or similar technologies as part of the engineering workflow to improve productivity, accelerate development, and enhance testing and documentation quality. Review and validate AI-generated output with strong engineering judgment, correctness, security, and maintainability standards. - Code Quality & Testing: Maintain a high bar for code quality through thoughtful code reviews, automated testing, and strong engineering practices. Build deterministic and scalable test suites covering unit, integration, contract, and edge-case scenarios across distributed systems. - Reliability & Operations: Monitor and improve the reliability, availability, and performance of production services. Use telemetry, logging, metrics, and operational insights to proactively identify and resolve issues in high-scale environments. - Collaboration: Work closely with cross-functional teams across engineering, product, security, and business stakeholders to deliver complex features and systems iteratively with high quality and operational excellence. - Responsible AI: Apply responsible AI principles when integrating AI-powered capabilities into products or workflows, including considerations for privacy, transparency, auditability, governance, and compliance. - Documentation: Create and maintain clear technical documentation for systems, APIs, operational processes, and business-critical logic to support long-term maintainability and knowledge sharing.
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