Principal Engineer - DevOps

India - Pune · India · 3+ years experience · Posted Oct 17, 2026

At a glance

Contentstack is seeking a Principal Engineer - DevOps to work with engineering teams to design, build, monitor, and maintain systems for high availability and scalability.
The role involves defining SLIs and SLOs, embedding security into infrastructure and delivery pipelines, and adopting an AI-first approach to operations.

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, using AI tools and agents for incident triage, log and alert analysis, runbook execution, change review and documentation.
Manage cloud infrastructure as code using Terraform or Pulumi to keep environments consistent, reviewable and reproducible.
Lead and participate in performance, load and stress tests, identifying bottlenecks, opportunities for optimization and capacity planning.
Participate in the on-call rotation and lead incident response as needed, writing postmortems and following through on the fixes.

Excellent programming skills in at least one language (Go, Python, Java, Node or similar)
Experience applying SRE practices including defining SLIs, SLOs, and error budgets
Experience designing and building reliable, scalable systems on Google Cloud Platform (GKE, Compute Engine, Cloud Storage, Pub/Sub, VPC, IAM)
Experience with infrastructure as code using Terraform or Pulumi
Experience with Container and Cloud technologies like Docker and Kubernetes
Experience with CI/CD using Argo CD, Jenkins, and Helm charts
Experience in performance diagnostics, capacity planning, performance architecture design, tuning, and monitoring
Experience with the use, maintenance and configuration of monitoring, metrics and logging infrastructure such as Datadog, Grafana, Prometheus, or New Relic
Experience leading incident response and writing blameless postmortems
Total experience of 10+ years, with a software development background and 3+ years working with GCP, Kubernetes and large-scale distributed systems

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