Sr. Principal Software Engineer (Analytics) - 10196 - Bangalore Location - Hybrid role

Provide technical leadership across multiple software development teams by architecting scalable solutions and guiding implementation.

Design and implement a high-performance, cloud-native analytics platform with API-first infrastructure for seamless data ingestion (Coupa and external spend data).

Utilize AI-driven data classification to cleanse and harmonize datasets. Oversee data modeling, microservice orchestration, monitoring, and alerting.

Collaborate with Engineering and Product leadership on feature design and maintenance release analysis to ensure robust customer-facing solutions.

Mentor engineers, designers, and developers, while working cross-functionally with Product Management, Integrations, Services, Support, and Operations to ensure successful development and deployment.

Bachelor’s degree in Computer Science or related field (or equivalent experience) with 15+ years developing enterprise SaaS applications using modern frameworks like Java, .Net, or C, with Python expertise.

Familiar with AI/ML techniques for data cleansing, deduplication, and entity resolution, as well as MVC frameworks like Django or Rails.

Full-stack experience includes building responsive UIs, SPAs, and reusable components, with strong UI/UX sensibility.

Solid grasp of microservices, event-driven architecture, backend integration via APIs, and working with both relational (SQL Server, MySQL, PostgreSQL, AWS Aurora) and NoSQL databases.

Skilled in performance optimization, monitoring tools, CI/CD tooling, and deployment on cloud platforms (AWS, Azure, or GCP).

Bonus experience includes Kafka or similar pub-sub systems, and Redis or other caching mechanisms.