Senior Software Engineer, Enterprise Analytics

Job Overview:
Coursera is establishing a new development center in India, with a focus on building a world-class platform team. This is a unique opportunity to join the founding team, where you will not only own a mission-critical charter but also help shape the culture and technical direction of the location.

We're looking for full-stack engineers with an entrepreneurial mindset who are excited by the challenge of building impactful 0-to-1 products.

As an engineer on the Enterprise Analytics team, you will design and build data-driven features that empower our enterprise administrators to understand and maximize the impact of Coursera's learning products. You will work on transforming complex datasets into clear, actionable insights—enabling admins to track program performance, monitor learner engagement, measure skill development, and evaluate ROI on learning initiatives.

You will collaborate closely with product managers, designers, and data scientists to solve challenging technical problems, shape the product roadmap, and create intuitive analytics experiences that drive data-informed decisions. Your work will directly influence how enterprises perceive and leverage Coursera to improve learning outcomes and business success.

Responsibilities:

• Design, build, and scale robust APIs and systems to support mission-critical integrations.
• Measure and evaluate the impact of your work, analyze results, and run A/B tests to drive data-informed product improvements.
• Create and maintain clear, high-quality technical documentation for components owned by your team.
• Develop and deploy high-quality code (Java, Scala, or similar) following industry best practices, and track key service-level indicators (SLIs).
• Troubleshoot and resolve production issues, lead blameless retrospectives, and participate in the on-call rotation to uphold service-level agreements (SLAs).
• Mentor and collaborate with teammates, contributing to process improvements and the overall success of the team.

Basic Qualifications:

• 7 years of professional experience in software engineering, with significant contributions across both frontend and backend systems.
• Proficient in designing and implementing APIs and building intuitive, performant user interfaces using modern frameworks such as React (or similar).
• Skilled in writing automated tests (unit, integration, and end-to-end) to ensure code reliability and maintainability.
• Expertise in working with managed cloud services (AWS, GCP, or Azure), streaming technologies, and handling large datasets.
• Experience developing new features end-to-end—from UX and UI design considerations to backend services and database integration.
• Proven ability to debug and resolve complex issues across the stack with minimal supervision.
• Strong advocate for engineering excellence, building reusable components and technical leverage for the wider team.
• Data-driven mindset, motivated by delivering measurable outcomes and learning from experiments, metrics, and user feedback.

Preferred Qualifications:

• Founding engineers or candidates with prior experience in start-up environments are preferred, specifically those who have been part of a bootstrapping team, small start-up team, or expansion team.
• Demonstrated ability to work in a fast-paced and dynamic environment, and navigate through ambiguity and uncertainty with confidence.
• Experience collaborating with cross-functional teams to deliver high-quality products or services.
• Proven track record of delivering results in a resource-constrained environment with limited guidance and supervision.

If this opportunity interests you, you might like these courses on Coursera:

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