About Coursera
Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog.
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.
Why Join Us
At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.
We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.
Job Overview
As a Senior Software Engineer, you will join a fast-paced innovation team in Coursera working on exciting pillars such as org-wide AI Enablement and Functional Transformation. This team builds and maintains the infrastructure & tooling required to drive meaningful AI adoption across the organization, providing a platform for more team members beyond just engineering to build and deploy tools and transforming entire business functions into AI-native operating models.
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 for agentic AI solutions with org-wide usage and adoption
- Lead architecture and technical design while ensuring high availability, reliability and scalability in our systems
- 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 end users 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 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, 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
- Work with a supportive and innovative team with a drive for continuous 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 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 [email protected].
Skills Required
- 5+ years of experience in a software engineering role with strong backend engineering and cloud infrastructure experience
- 1+ years of experience building production-grade agentic AI solutions
- Proficiency in backend languages such as Python, Java, Node.js or Go
- Experience with Docker, Kubernetes and Kafka
- Strong experience implementing APIs and writing end-to-end automated tests
- Deep understanding of cloud platforms (AWS, GCP, or Azure) including self-hosted and managed services
- Expertise in infrastructure-as-code tools like Terraform and CI/CD solutions such as GitHub Actions or Jenkins
- Prior experience leading projects and debugging complex issues with minimal supervision
- Fervent belief in engineering quality and building technical leverage for others
- Experience with RAG, MCP, LangGraph or other modern agentic AI technologies
- Ability to work in fast-paced, dynamic environments and navigate ambiguity
- Proven track record delivering results in resource-constrained environments with limited guidance
- Excellent communication skills and ability to collaborate with cross-functional teams
Coursera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coursera and has not been reviewed or approved by Coursera.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, supported by structured market benchmarking and clearly defined U.S. pay zones. Ongoing investment in compensation programs and market‑aligned ranges for in‑demand functions reinforce this positioning.
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Leave & Time Off Breadth — Time away programs include unlimited vacation (U.S./Canada), company days of rest, paid sick time, and paid parental leave with transitional part‑time support. This breadth of leave options contributes meaningful non‑cash value to the package.
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Flexible Benefits — A remote‑first approach is enabled through coworking access, connectivity stipends, and home‑office reimbursements. This flexibility stands out as a core strength of the total rewards offering.
Coursera Insights
What We Do
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.
Why Work With Us
People who thrive at here are customer-first builders who deeply understand our learners and partners, translate their needs into simple, high-impact solutions, and refuse to stop at “good enough.” They own outcomes end to end, move fast, simplify ruthlessly and iterate relentlessly on the metrics that matter to invent the future of learning.
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