Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Condé Nast scores B on the Alion truth index.
Job Description
Location:
Chennai, TNAbout The Role:
The Data Products team plays a critical role in shaping how Condé Nast enables its business using data. The team is responsible for building data pipelines, data products, and tools that enable our software and machine learning teams to solve challenging use cases in our industry.
We are seeking a Software Engineer who will build and maintain API an Services across business areas such as content, subscriptions, marketing, and advertising within Condé Nast.
Responsibilities:
- Collaborate with other disciplines (engineering, design, product) in the creation and iteration of web applications built to enable our editors to produce the best content they can.
- Helping lead projects from ideation to execution to maintenance
- Collaborating with the broader engineering group on new ideas or improving existing ones
- Identifying and improving code and usability performance issues
- Participating in design and code reviews
- Helping us grow and expand our engineering teams
About you:
- 6+ years building production backend systems, ideally with some exposure to identity and segmentation platforms
- Deep proficiency in Golang, with a track record of designing services that hold up under real user traffic, including seasonal or campaign-driven spikes
- Strong analytical and problem-solving skills
- Experience working with, designing, and deploying production-grade applications
- Experience working with large-scale Design Systems and Infrastructure
- Familiarity and experience with designing and deploying production-grade RESTful APIs
- Strong end-to-end testing experience and an emphasis on TDD methodologies •Eager to learn about new technologies and implement these ideas in a production environment
Our Tech:
- Languages and Frameworks: Node, Golang, Rust
- Data: Postgres, Kafka, SQS, Databricks
- Deployment: Docker, AWS, Terraform, Kubernetes, GitHub Actions
- Datadog, Splunk - for observing our platform
- Source Control: Git, GitHub
How we work:
- Pairing. We like knowledge sharing and upskilling.
- We work with engineers across time zones & locations.
- Infrastructure as Code everywhere
- AI Native way of working
- On-call-teams are responsible for their own apps
What happens next?
If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

