Coursera is looking to improve its Learning Content Experience (LCE) by enhancing how content is ingested, generated, authored, and how learners engage with instruction, practice skills, and undergo evaluation. The goal is to deliver scalable, personalized, and verified learning experiences, and the right technical choices are crucial for maintaining and building upon this experience.
Requirements
- 8+ years of experience working in a relevant product software engineering role
- 3+ years of experience iteratively driving architecture decisions in a single domain, evaluating success, and adapting these choices to changing product and business needs
- Expertise in designing highly-scalable and performant full-stack applications, microservices, and storage layers using common frameworks, languages, and infrastructure (e.g. Java, MySQL, NoSQL, Kafka or equivalent)
- Knowledge of professional software engineering and best practices for the full SDLC, including technical design, coding standards, code reviews, source control management, build processes, testing, documentation, and operations
- Able to communicate effectively at multiple levels of abstraction to both technical and non-technical stakeholders, both verbally and in writing
- Expertise in technologies like ReactJS, GraphQL/DGS, DynamoDB, and Redis for designing scalable and high-performance applications end-to-end
- Experience with generative AI tools and supporting processes and systems; proficient in identifying opportunities enabled by emerging technologies while managing production needs for quality and scalability
Responsibilities
- Work cross-functionally with engineering, product, design, and data teams to inform a roadmap that balances long-term and short-term priorities, based on both big-picture perspective as well as data-informed learnings
- Collaborate with tech leads to identify and understand key architectural problems in the Learning Content Experience (LCE) domain
- Develop an architecture that efficiently addresses business challenges such as emergent complexity, leveraging foundational knowledge of design patterns and practical experience
- Promote sustainable architectural solutions by establishing and advocating for core principles, documented through decision records on API design, data storage strategies, and other key choices
- Apply industry best practices and system design expertise to guide local design decisions through collaboration and reviews with engineers
- Mentor and guide fellow engineers to help them improve their technical ability and become more effective product software engineers
- Initiate and lead high-leverage projects to raise the quality bar for how we work and what we deliver (e.g. by improving developer productivity, and/or the quality, performance, availability, and resiliency of our systems and teams)
Other
- We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration.
- A strong sense of ownership and conscientiousness, with a strong desire to learn about products, people, and technology; proactive and action-oriented
- Strong empathy for both engineers and cross-functional partners, to enable the right balance of inquisitive information-gathering and timely decision-making in order to identity problems, overcome ambiguity, and align others on a solution
- Strong track record of leadership and mentorship, preferably in a remote environment
- Experience with teams with diverse identities and working styles, tailoring approaches to bring out the best contributions from each individual teammate
