As a Senior Software Engineer, you’ll play a critical role in shaping the future of our technology platforms while helping drive innovation across the organization. You’ll partner with talented engineers, architects, and business leaders to solve complex technical challenges and deliver solutions that directly impact students, faculty, and the broader educational experience.
· Design, build, and support scalable, secure, and high-performing software solutions using modern full-stack technologies — including Angular, Nest.js, and Node.js on the front end and Python on the back end — that power critical business capabilities.
· Serve as a technical leader and trusted advisor, influencing architecture, engineering standards, and best practices across teams.
· Lead the delivery of complex initiatives from concept through implementation, balancing speed, quality, and long-term maintainability.
· Mentor and develop fellow engineers through technical guidance, code reviews, design discussions, and knowledge sharing.
· Partner with cross-functional teams to understand business objectives and translate requirements into thoughtful technical solutions.
· Identify risks, dependencies, and opportunities early, helping teams navigate challenges before they impact delivery.
· Drive continuous improvement in software quality, reliability, observability, and operational excellence.
· Contribute to modernization initiatives, including Event Driven Architecture (EDA), Micro Services, Backend for Front End (BFF), Service and Data Mesh. Experience in Kafka, Pulsar and Hasura a plus.
· Design and work with modern data layers, including PostgreSQL and Yugabyte.
· Apply AI-assisted development practices to accelerate delivery and integrate AI/ML services into applications to create smarter, more capable platform experiences.
· Lead troubleshooting and resolution efforts for complex production issues, improving service stability and customer experience. Experience in Dynatrace is a plus.
· Champion engineering excellence through thoughtful testing strategies, automation, and data-driven decision making.
· Foster a collaborative engineering culture where knowledge sharing, innovation, and continuous learning thrive.