About the Role We re looking for a Senior Software Engineer L5a to join the Security Risk Compliance Automation team In this role you ll design and scale backend systems that power Uber s global Governance Risk and Compliance GRC infrastructure You will take ownership of complex problems that span multiple areas architect solutions for reliability and performance and influence technical direction within your team This is a hands-on role for engineers who thrive on solving ambiguity writing high-quality code and raising the bar for engineering excellence What the Candidate Will Need Bonus Points - What the Candidate Will Do - Lead the design and development of backend services that automate risk and compliance processes at global scale Drive technical decisions for projects with multiple dependencies making thoughtful tradeoffs between short- and long-term priorities Act as an escalation point for production incidents applying structured debugging and ensuring follow-through on root cause fixes Mentor junior engineers elevate team coding standards and contribute to reusable frameworks and patterns Partner cross-functionally with Security Compliance and Platform teams to align technical solutions with business objectives - Basic Qualifications - 5 years of software development experience in backend or distributed systems Proficiency in one or more programming languages e g Go Java Python C Experience designing implementing and maintaining APIs and microservices Robust understanding of databases SQL NoSQL data modeling and system performance optimization Familiarity with CI CD pipelines cloud-native infrastructure and containerization Docker Kubernetes Demonstrated ability to navigate tradeoffs and deliver results in complex projects Experience with distributed data processing frameworks e g Kafka for building robust data pipelines - Preferred Qualifications - Bachelor s or Master s degree in Computer Science or related field Prior experience building large-scale backend platforms or infrastructure Familiarity with applications of Natural Language Processing NLP or Large Language Models LLMs Knowledge of data structures and algorithms applied in production Experience with monitoring observability and operational excellence at scale Proven experience building backend infrastructure or services that directly support AI ML-powered applications e g model serving APIs feature stores or data validation systems Knowledge of specific compliance or risk management domains e g ISO 2700 ISO 4200 etc and experience building technology to address their requirements

📌 Sr Software Engineer (Karnataka)
🏢 Uber
📍 Karnataka