Senior Software Engineer
- Chegg
- 7 - 10 years
- Delhi, NCR
- 10 days ago
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Job Description
Position: Senior Software Engineer, Backend
Base Location: New Delhi
Location: India (Remote / Hybrid)
Experience: 7+ years
About Chegg Skills
As Chegg Skills engineers, our software empowers students to move from "learning" to
"earning." We build the applications and systems that help students make life-changing career
transitions into high-growth job opportunities. We take pride in making education accessible to
motivated career switchers, and we build the technology that helps them achieve mastery and
success.
In this role, you will play a leading role in a fully remote team of diverse, motivated engineers
who are rethinking what education can look like. We serve thousands of students and educators
every year, and your work will directly shape how those students learn and succeed.
Chegg Skills is a growing division of Chegg focused on post-collegiate learners. We are
continuing to grow our engineering team to support business expansion as more students take
the next step in their careers with Chegg. Join us and help scale the engineering foundation for
our next phase of growth.
About the Role
We're hiring a Senior Software Engineer, Backend to own the design, reliability, and scalability of
our backend services and APIs. This role is focused on building robust distributed systems,
workflow orchestration, and backend infrastructure that powers learner-facing and operational
experiences. You will also contribute to the web layer as needed this is a backend-first role
with full-stack reach.
What You'll Do
Design and build backend services and distributed systems with a focus on scalability,
reliability, and maintainability.
Build and extend GraphQL-powered APIs and workflow-driven systems that support learnerfacing and operational experiences.
Improve reliability for integration-heavy and asynchronous workflows, including retries,
idempotency, error handling, and recovery paths.
Improve operational readiness through dashboards, alerts, runbooks, and hands-on incident
debugging.
Own the quality of your changes through automated tests, CI stability, rollout checks, and
production validation.
Work with or alongside AI/LLM-powered systems integrating APIs, contributing to agentic
workflows, or extending AI-assisted backend features.
Partner closely with Product, Design, Data Engineering, Platform/SRE, and Content
Operations to deliver and harden high-impact workflows.
Contribute to engineering quality through strong code reviews, reusable patterns, and
improvements to delivery speed and system reliability.
Ship end-to-end changes across backend services and web applications, including API,
schema, and UI updates, as needed.
Required Qualifications
Most qualified candidates will likely bring 7+ years of professional software development
experience building production backend systems.
Strong backend system design experience distributed systems, scalability, reliability
patterns, and service architecture.
Strong experience with Java/Kotlin and/or Python-based backend systems (Spring, FastAPI,
Django, or similar frameworks), plus API design and GraphQL integration.
Experience with workflow orchestration systems (Temporal, AWS Step Functions, Airflow, or
similar).
Experience debugging production issues end to end, from symptom to root cause, fix, and
prevention.
Experience working on async or integration-heavy systems, including retries, timeouts,
idempotency, and workflow/state handling.
Strong testing and release-validation discipline in environments where engineers own quality
directly.
Experience with observability and operational ownership, including dashboards, alerts,
runbooks, and participation in on-call support.
Comfort using AI-assisted development tools responsibly, with the ability to explain, validate,
and safely ship the code you produce.
Some exposure to React/Next.js or frontend web applications sufficient to contribute to fullstack changes.
Preferred Qualifications
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) or agentic workflow patterns.
Experience with Temporal specifically for workflow orchestration.
Experience with Kotlin/Java and Spring, or Python with FastAPI/Django.
Experience with internal tooling or operations platforms such as Retool.
Experience with analytics or experimentation instrumentation.
Experience with data ingestion, backfills, or data-quality remediation work.
Tech Stack
Backend: Python (FastAPI / Django), GraphQL, Kotlin / Java, Spring-based services,
Temporal
Frontend: React / Next.js, Node.js, Auth0-integrated web flows
Cloud / Delivery: AWS, Docker, GitLab CI
Observability / Operations: New Relic, Rootly, Playwright
Job Classification
Industry: E-Learning / EdTechFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Back End DeveloperEmployement Type: Full timeContact Details:
Company: CheggLocation(s): Delhi, NCR
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