Principal Engineer - DevOps

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 with the engineering teams to design, build, monitor and maintain the system for high availability and scalability. Define SLIs and SLOs with the engineering teams, track them, and use error budgets to guide reliability work and release decisions. Take part in design reviews and make architecture decisions that improve reliability, scalability, security and operability before systems reach production. Build security into the infrastructure and delivery pipelines, including access control, secrets management, network policies and image and dependency scanning. Work with the security team to track vulnerabilities and audit findings, and close them within agreed SLAs. Write production-grade software, deployment frameworks, tracers, monitors and auto remediation tools, and automate the processes. Follow an AI-first approach to operations. Use AI tools and agents for incident triage, log and alert analysis, runbook execution, change review and documentation, and build our own where off-the-shelf tools fall short.