What is Contentstack?
Contentstack is redefining how modern digital experiences are built and managed. As the pioneer of the Agentic Experience Platform (AXP), Contentstack brings together structured content and brand governance (Content Cloud), real-time customer data, omnichannel personalization (Data Cloud) and autonomous AI orchestration (Agent OS) into one unified system.
While many organizations adopted headless CMS or standalone AI tools expecting transformation, they often found themselves managing disconnected systems and manual workflows. Contentstack helps enterprises move beyond that complexity by connecting content, data and AI in a way that makes digital experiences faster to launch, easier to manage and more adaptive in real time.
Leading brands including Steve Madden, LG Electronics, Subaru of America, Dolce & Gabbana, ASICS, Decathlon, and Caesars Entertainment rely on Contentstack to reduce operational friction and deliver personalized, scalable digital experiences with confidence. The company is known for its customer-first culture and commitment to the communities it serves through the Contentstack Cares program.
Learn more at www.contentstack.com .
Who Are We?
At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let’s go!
Roles & Responsibilities
Work across the stack from a code commit to running it in production for our Platform, the shared service that powers AI features across Contentstack products
Design, develop and test backend services and APIs from inception to rollout, including model and provider configuration, usage metering and credit allocation
Build reliable event-driven integrations (Kafka, Celery)
Integrate and operate LLM providers (OpenAI, Google Vertex AI/Gemini, Anthropic) securely, including key management and rotation
Write high quality code that is scalable, testable, maintainable and reliable
Independently own and drive new features from scratch, working with Product, QA, DevOps and partner teams
Own releases across environments: deployments, sanity checks, hotfixes and rollbacks
Debug and resolve issues in Kubernetes-based services on GCP, AWS and Azure
Work in an Agile environment and facilitate agile practices
Champion best practices, including security hygiene and test automation
Mentor and guide junior team members
Continuously improve by working on and providing feedback
Required Skill Sets
Strong experience with Python on the backend (FastAPI or similar, async programming)
Strong knowledge of creating scalable REST APIs and clear API contracts
Working experience with MongoDB; Redis and relational databases are a plus
Experience with message queues and background workers (Kafka, Celery, RabbitMQ or similar), including retries, idempotency and backfills
Practices TDD and has experience writing API and end-to-end test automation
Strong understanding of Object Oriented Programming and/or Functional Programming concepts
Understanding of containerization (Docker) and hands-on debugging with Kubernetes
Basic knowledge of cloud IAM and networking on GCP or AWS
Experience with setting up and maintaining CI/CD pipelines (GoCD, Jenkins, GitHub Actions or similar)
Experience integrating LLM APIs (OpenAI, Vertex AI/Gemini, Anthropic) is preferred
Experience with NodeJS/TypeScript and ReactJS is preferred
Some experience with alternative protocols like gRPC or GraphQL is preferred
Familiarity with…