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Contentstack is an Agentic Experience Platform (AXP) that unifies structured content management, real-time customer data, omnichannel personalization, and autonomous AI orchestration. The company serves leading brands including Steve Madden, LG Electronics, Subaru, Dolce & Gabbana, ASICS, and Caesars Entertainment.
As Principal Engineer - DevOps, you will be a technical leader responsible for designing, building, and maintaining highly available and scalable infrastructure systems. You will work closely with engineering teams to define and track SLIs/SLOs, use error budgets to guide reliability work, and participate in architecture reviews to improve reliability, scalability, security, and operability before systems reach production.
Key responsibilities include:
- Building security into infrastructure and delivery pipelines (access control, secrets management, network policies, image and dependency scanning)
- Writing production-grade software, deployment frameworks, tracers, monitors, and auto-remediation tools
- Following an AI-first approach to operations, using AI tools for incident triage, log analysis, runbook execution, and building custom solutions where needed
- Managing cloud infrastructure as code using Terraform or Pulumi to keep environments consistent and reproducible
- Leading performance, load, and stress tests to identify bottlenecks and optimization opportunities
- Participating in on-call rotation, leading incident response, and writing blameless postmortems
- Identifying and automating away repetitive operational work
- Reviewing and improving processes around monitoring, alerting, upgrades, and tuning
- Creating comprehensive documentation of architecture designs, implementation plans, and runbooks
This is a high-impact role where you'll work with cutting-edge technologies and contribute to systems serving millions of users across major global brands.
**Requirements:**
- Excellent programming skills in at least one language (Go, Python, Java, Node, or similar) with production code examples; Go experience is a plus
- Proven experience applying SRE practices: defining SLIs/SLOs, managing error budgets, and using them to drive design and prioritization decisions
- Experience designing and building reliable, scalable systems on Google Cloud Platform (GKE, Compute Engine, Cloud Storage, Pub/Sub, VPC, IAM); working knowledge of AWS or other clouds
- Experience with infrastructure as code using Terraform or Pulumi
- Experience with container and cloud technologies (Docker, Kubernetes)
- Experience with CI/CD tools (Argo CD, Jenkins, Helm charts, etc.)
- Strong background in performance diagnostics, capacity planning, performance architecture design, tuning, and monitoring
- Experience with monitoring, metrics, and logging infrastructure (Datadog, Grafana, Prometheus, New Relic, etc.)
- Experience leading incident response and writing blameless postmortems with focus on root-cause elimination
- Comfortable working with modern NoSQL databases and big data platforms (MongoDB, Redis, etc.)
- Total experience of 10+ years with software development background and 3+ years working with GCP, Kubernetes, and large-scale distributed systems
