Careers at Coursera

About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog . Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. Job Overview As a Senior Software Engineer , you will join a fast-paced innovation team at Coursera working on AI enablement for our organization and customers . As an internal focus area, this team builds and maintains the infrastructure & tooling required to drive meaningful AI adoption across the organization, providing a platform for non-technical team members to build and deploy tools and transforming entire business functions into AI-native operating models. As a customer-facing focus area, this team builds custom AI-powered solutions for our enterprise customers supporting them in their journey of AI adoption and upskilling beyond just the content on our platforms. You will have the opportunity to work on complex technical challenges, and influence the future roadmap, growth and success of Coursera's AI culture. You will work closely with a cross functional team of Software Engineers, AI Specialists and Tech Innovation Strategists - leading architecture, owning technical decisions and ensuring end-to-end delivery throughout the SDLC. Key Responsibilities Build, scale and maintain the infrastructure and platform required to deliver production-grade agentic AI solutions Lead architecture and technical design while ensuring high availability, reliability and scalability in our systems Analyze customer requirements, understand enterprise data landscape and ensure data privacy and residency compliance factors in our engineering framework Collaborate closely with Product Managers and Tech Innovation Strategists to scope out problem statements and narrow down requirements with a laser focus on impact delivered to customers and stakeholders Set a high standard of excellence for engineering culture and developer experience in the team by leading code reviews, mentoring junior engineers and building stronger processes Participate in sprint planning, technical grooming, and retrospective discussions Basic Qualifications 5+ years of experience in a software engineering role - with a strong background in backend engineering and cloud infrastructure 1+ years of experience building production-grade agentic AI solutions Proficiency in backend languages such as Python, Java, Node.js or Go and technologies such as Docker, Kubernetes and Kafka Strong experience in implementing APIs, working with SQL and NoSQL databases and writing E2E automated tests Deep understanding of cloud platforms (AWS, GCP, or Azure), able to work with self-hosted as well as managed services Expertise in infrastructure as code tools like Terraform and CI/CD solutions such as GitHub Actions or Jenkins Fervent belief in engineering quality and building technical leverage for others Prior experience in leading projects and debugging complex issues with minimal supervision Preferred Qualifications Experience with modern evolving technologies on agentic AI such as RAG, MCP, LangGraph, LangFuse, etc. Demonstrated ability to work in a fast-paced and dynamic environment, and navigate through ambiguity and uncertainty with confidence Proven track record of delivering results in a resource-constrained environment with limited guidance and supervision Excellent communication skills, ability to collaborate with cross-functional teams with a proactive mindset Why Join Us? Solve real-world challenges that drive real impact across Coursera’s business functions and enterprise customers Work with a supportive and innovative team with a drive for continuous learning & improvement Become a go-to technical leader in the team and shape the internal developer experience Be part of a mission-driven company transforming global access to education and upskilling in the AI era For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice . To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.

About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog . Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. Job Overview As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit at the intersection of AI/Data Engineering, cloud and security architecture, and customer-facing solutioning — working hands-on with customers to map their workflows and data, prototype solutions quickly, and harden the ones that prove valuable into production deployments. You'll operate across the full engagement lifecycle: scoping a customer's environment and pain points like a consultant, prototyping working demos in real time with the customer, and then hardening the strongest patterns into production-grade, secure and compliant deployments. This role is customer-facing and will require regular travel to customer sites (domestic and occasionally international) for discovery, prototyping, and go-live phases of engagements. You will work closely with Product Managers, AI Specialists, Data Analysts, and other Engineers on the team, and directly with customer executive sponsors and IT/data owners, to decide what gets standardized, deployed, or retired. Key Responsibilities Scope customer environments directly with executive sponsors and IT/data owners — mapping systems, data models, and workflows to identify the real business problem, not just the stated one Rapidly prototype and demo working solutions in front of customers, iterating in real time to prove value fast Serve as the bridge between customer & core engineering team to harden validated prototypes into production deployments Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures, as per customer's data residency, privacy, and IT-maturity requirements Build and own identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering/PrivateLink, API gateways) for customer-embedded deployments Bring security, data-residency and compliance judgment into discovery conversations before a commercial commitment is made, not after Own CI/CD, observability, and production support for systems living inside customer environments Recognize repeatable patterns across customer engagements and feed field evidence back to Product to inform what should be standardized, deployed more broadly, or retired Collaborate closely with Product Managers, AI Specialists, and Program Managers to scope problem statements with a laser focus on customer and business impact Travel to customer sites as needed (expect regular travel) to support scoping, prototyping, and go-live phases of an engagement, including in-person workshops and executive readouts Basic Qualifications 5+ years of experience in a software engineering role, with strong hands-on backend engineering and cloud infrastructure experience 1+ years of experience building production-grade agentic AI solutions Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant and hybrid customer-cloud deployment models Strong experience with data engineering fundamentals — ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems Working knowledge of identity and access management, encryption/key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments Demonstrated comfort operating directly with customers — scoping ambiguous problems, running discovery, and demoing work-in-progress solutions live, in person and remotely Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally, as engagement needs require Prior experience leading projects and debugging complex issues with minimal supervision Preferred Qualifications Experience with modern agentic AI tooling such as LangChain, LangGraph, FastMCP, RAG, or MCP Experience with Postgres, DuckDB, pgvector, or similar analytical/transactional data layers Prior experience in a solutions engineering, professional services, or technical consulting role where you owned a customer relationship end-to-end, including on-site engagement Familiarity with data privacy and residency regimes relevant to enterprise/education/government customers (e.g., GDPR, FERPA, DPDPA, HIPAA) Demonstrated ability to work in a fast-paced, ambiguous environment and make sound technical trade-offs with limited guidance Excellent communication skills, with the ability to translate technical constraints into terms an executive sponsor or non-technical stakeholder can act on Why Join Us? Work on high-visibility engineering problems with direct, measurable impact on enterprise and campus customers Work directly with strategic customers across geographies, owning engagements end-to-end rather than a narrow slice of a roadmap Directly influence what graduates from customer-facing custom solutions into Coursera's core product Be part of a lean, cross-functional team (Engineering, AI Specialists, Product, Program Management) with high autonomy and high trust and become a go-to technical leader Be part of a mission-driven company transforming global access to education and upskilling in the AI era #LI-C For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice . To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.

About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog . Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. Job Overview: As a Senior Software Test Engineer (Test Infrastructure and Tooling) at Coursera, you’ll play a key role in helping teams produce high-quality software for millions of learners across the world. Actively seeking out opportunities for test coverage, infrastructure, and framework improvements, you’ll be an enabling force; allowing developers to deliver value to our customers quickly and safely. You’ll work closely with Infrastructure, and SRE teams to optimize build and test pipelines for speed, coverage, and reliability. Collaborating with Engineering leaders and fellow Test Engineers, you’ll help define effective test strategies and process improvements to help quality at Coursera scale. Responsibilities: Build software and solutions that empower Engineering teams to solve problems and deliver high-quality software Research and identify AI augmented agentic solutions and lead large-scale test automation initiatives Monitor test environments and provide support when errors and incidents occur Contribute to e2e test strategy, analyze requirements, build test plans, and design test cases for new features, integrations (regression, performance, load) Lead quality initiatives of one or more teams to ensure higher bar of quality Actively seek out areas for improvement in our tech stack and find creative ways to break our product and systems Use quality metrics and performance metrics to drive change and improve quality Basic Qualifications: 7+ years of testing experience, ideally testing web applications 7+ years working directly with product teams in an agile environment 6+ years of experience in UI and API automation 1+ years of experience in developing AI augmented agentic testing frameworks, evals for AI driven applications 6+ years of experience working with CI/CD build pipeline with a focus on test automation (Github actions, Circleci, Kubernetes) Experience with development and maintenance of test automation tools using popular open source technologies(Puppeteer, Cypress, Playwright, Selenium), MCP servers, Preferred Qualifications: Previous startup experience and testing in an Agile development life cycle is a plus Experience with API testing frameworks (Postman, REST-assured, Pact) Programming or scripting language proficiency (JavaScript, Java, Python) Experience with Cloud platforms such as AWS, Azure, or GCP Exceptional written and verbal communication skills If this opportunity interests you, you might like these courses on Coursera: Interactivity with JavaScript Testing with Agile Compensation Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is CAD $137,600 - $172,000 . Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits. #LI-C For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice . To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.