Coursera Logo

Coursera

Content Optimization Engineer

Sorry, this job was removed at 10:13 a.m. (IST) on Monday, Jan 05, 2026
Be an Early Applicant
Easy Apply
India
Easy Apply
India

Similar Jobs

2 Hours Ago
In-Office
Mid level
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Package Health Analyst oversees package health metrics, implements defect characterization, performs data analysis, and collaborates on traceability across engineering teams.
Top Skills: AIMlPythonR
2 Hours Ago
Hybrid
Mid level
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The JAVA Developer will architect, design, develop, and test applications for the Neustar ENUM Registry Program, focusing on telecommunications data integration and API solutions. Responsibilities include understanding requirements, coding software components, leading a scrum team, and resolving production issues.
Top Skills: AnsibleAntDockerEclipseGitJ2EeJavaJdbcJenkinsJspKubernetesLinuxMavenUnixVMwareWeb Services
2 Hours Ago
Hybrid
Expert/Leader
Expert/Leader
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Director of Containers & Kubernetes leads strategy and management of container platforms and OS golden images, ensuring security and compliance while overseeing a high-performing engineering team.
Top Skills: AksCi/CdContainer RuntimesEksGkeKubernetesLinuxVulnerability ScanningWindows

About Coursera

Coursera was founded in 2012 by Stanford professors Andrew Ng and Daphne Koller to make world-class learning accessible to everyone, everywhere. Today, over 190 million learners and 375+ university and industry partners use our platform to gain skills in fields like AI, data science, technology, and business. As a Delaware public benefit corporation and Certified B Corp, we’re driven by the belief that learning can transform lives through learning.

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 and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.

Role Overview

The Content Optimization Engineer, Hands-On Learning, is a full-time position focused on optimizing and enhancing the quality of technical course content within the Computer Science, Data Science, IT, AI,  and Engineering domains. This role is dedicated to improving learner engagement, satisfaction, and retention by refining course content and guiding strategies and new experimentation for hands-on learning experiences. The role’s mission is to help increase access to high-quality and industry-relevant hands-on learning experiences that help learners master the technical skills they need to reach their career and learning goals. 

We’re looking for a Contract Solutions Engineer who will work alongside Coursera’s Solutions Engineers and university and faculty Subject Matter Experts to build virtual learning labs and autograders on our advanced technical platform features. The Software Engineer should have experience working and consulting with STEM subject-matter experts, and be comfortable building basic Docker container-based applications. This role will support partners producing Computer Science, Data Science, and Engineering domains, where a STEM background (whether through formal education or relevant industry experience) is required.

Responsibilities

  • Lead Technical Optimisation Implementation: Collaborate with internal teams, data scientists, product, and industry Subject Matter Experts to develop, prioritize, and manage technical and hands-on learning course optimisation opportunities and resourcing required.
  • Technical Build & Optimization of Hands-On Learning Environments: Edit, create, and refine identified virtual learning environments, including labs, autograders, code blocks, Coach,  and AI Grading opportunities based on learner feedback and data. Customize and maintain Docker container-based applications to support various technical learning environments and troubleshooting as needed.
  • Monitor Success Metrics of Optimizations: Utilize data analysis and course metrics to track the success of technical content optimizations over time. Your shared goal will be to positively impact learner engagement, retention, and skill development metrics through optimization updates.
  • Map Technical  Optimization Challenges to Platform Solutions: Onboard to Coursera’s hands-on learning feature set, including Labs, Programming Assignments, Code Blocks, Coach, and AI Grading features. Use this knowledge to help consult on and brainstorm effective, efficient, and creative platform solutions for optimization opportunities and leverage. 
  • Implement partner feedback through Agile Development processes: Use an agile development framework and predefined sprint timelines to meet delivery milestones and incorporate learner feedback to final high-quality standards
  • Conduct quality assurance on optimizations based on predefined checklists: Conduct quality assurance and end-to-end testing to ensure updated technical content meets predefined standards and best practices and is launch-ready.
  • Document your code: Utilize industry best practices to document code, ensuring easy maintenance and hand-off for continued content optimization.
  • Communicate & Document Product Enhancements & Feedback: Document and communicate product enhancements that could improve the technical build and learning experience to our product and engineering teams
Qualifications

Skills Required for this position:

  • Technical consulting, Product knowledge; Communication; Relationship & influence; Customer empathy; Time Management; Ability to give/take constructive feedback; Teamwork

Basic Qualifications:

  • 3+ years of professional experience, including at 2+ years of technical experience
  • HTML, CSS, JavaScript and programming proficiency in Python or another programming language, comfort with CLI tools
  • Demonstrated experience in debugging and troubleshooting skills, with the ability to pick up new languages and frameworks quickly
  • Proficiency with Generative AI tools, Agents, and Prompt Engineering 
  • Data-driven and proficient in basic data analysis
  • Demonstrated ability to build strong rapport with internal and external stakeholders
  • Knowledge of software build, testing, and versioning best practices (Github and Version Control tools) 
  • Experience with Docker
  • Experience with the following IDES:  Jupyter Notebooks, RStudio, Visual Studio Code, Eclipse, Intellij
  • Strong bias for action and ability to manage numerous projects and schedules simultaneously in a fast-paced environment. 
  • Strong business acumen and consulting experience to effectively translate learning objectives into practical course enhancements.

Preferred Qualifications:

  • Experience with Test Driven Development (TDD) and related methodologies.
  • Knowledge and experience in pedagogical principles and patterns to guide the creation of effective learning experiences.

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]. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.

Coursera Gurugram, Haryana, IND Office

Gurugram, India

What you need to know about the Delhi Tech Scene

Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account