Senior Software Developer

Senior Software Developer - Data Platform, BE Canada Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. We’re a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We’re looking for inventors, innovators, and lifelong learners eager to shape the future of education. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees . Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: As a Senior Software Developer on the Data Platform team, you will join the team’s mission to empower data workers at Coursera and maximize their productivity by providing robust tools, innovative platforms, and a steadfast analytics infrastructure. You will be a technical leader, scaling and developing our data infrastructure as well as tools that pave the path for data development in our offline data systems. You will tackle complex technical challenges at scale that power millions of learners and drive substantial technical impact across multiple teams within the organization. Responsibilities: Design and implement scalable & robust Data Platforms, APIs, and Systems Proactively identify and implement high-leverage opportunities to improve system architecture, scalability, and performance Develop and deploy your high-quality code (in Java, Scala, Python, or similar languages) following industry best practices and track key service level indicators (SLIs) Debug and fix production issues, lead blameless retrospectives, and participate in the on-call rotation to ensure adherence to the service level agreements (SLAs) Collaborate and mentor team members, foster a collaborative and inclusive environment, and proactively pinpoint and advance engineering improvements and practices Own large feature areas, identify gaps in system ownership, and drive initiatives to simplify and consolidate system components. Basic Qualifications: 4+ years of experience working in a relevant backend software engineering role, with 3+ years focused on data infrastructure or data systems. Experience with implementing APIs and writing automated tests, and proficiency in at least one backend programming language (e.g., Java, Python) Demonstrated history working with cloud data services (e.g., AWS, GCP), streaming technologies, and handling large data sets Proven experience in defining technical roadmaps for a data system or a software system Fervent belief in engineering quality and building technical leverage for others Comfortable working in a fast-moving team environment (we deploy many times a day) Data-driven and strongly motivated by success and learnings through experiments and metrics analysis Preferred Qualifications: Experience working with data systems or data lakes. Experience working with eventing services. Experience collaborating with data science and data engineering functions. 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. Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. #J-18808-Ljbffr