Principal Software Engineer (Application Architect) - 11226
Team: Engineering - Americas
Location: Los Angeles, California, United States
Commitment: Mid-Senior Level
Workplace Type: remote
What You'll Do:
- Architect the overall vision and strategy for the analytics and data applications, ensuring alignment with business goals and scalability for future growth.
- Lead the architecture and development of advanced analytics tools and applications, including sophisticated user & agentic interfaces for data visualization and interactive experiences.
- Establish and enforce best practices for data transport, microservice orchestration, platform monitoring, and alerting across all data and analytics initiatives.
- Provide technical leadership and mentorship to engineering teams, guiding architectural decisions and ensuring code quality and performance optimization.
- Drive innovation by evaluating and implementing cutting-edge technologies in big data, cloud computing, AI/ML, and API development.
- Ensure stringent data security and governance across all AWS regions and data assets.
- Collaborate with cross-functional teams, including product, design, and engineering, to translate complex business requirements into robust technical solutions.
What You Will Bring to Coupa:
- 15+ years of Software Engineering experience within an enterprise grade environment, with significant leadership and architectural roles.
- Must have hands on application building using tech stack: Java, .Net, or Ruby (Rails)
- Prefer to have experience in building AI Agents, NLP
- Advanced degree in a quantitative discipline or equivalent practical experience.
- Extensive experience in designing and developing API-driven services (REST, GraphQL), knowledge graphs and microservice architectures.
- Strong understanding and application of AI/ML techniques for data classification, harmonization, and predictive analytics.
- Demonstrated ability to mentor and guide engineering teams, providing technical leadership and strategic direction.
- Highly skilled in analytical problem-solving, root cause analysis, and optimization of complex data processes across structured and unstructured datasets.
- Exceptional communication and collaboration skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
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