Senior Engineer II - SRE (AI-First)

ReerHub; Chennai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Contentstack is seeking a highly skilled DevOps/SRE engineer to ensure reliability of a multi-tenant platform as it grows. You will define SLIs/SLOs, instrument them, and lead incident response with blameless postmortems.

You will own CI/CD pipelines using Argo CD with canary and blue/green deployments, build Helm charts, and automate toil with Python, Bash, and Ansible, while collaborating with Infra SecOps and platform teams.

Qualifications

• Experience defining SLIs and SLOs for platform services.
• Proficient in release management with canary and blue/green strategies.
• Hands-on with Argo CD, GitOps and automated verification.
• Strong automation skills in Python, Bash, and Ansible.

Responsibilities

• Service level management: define and operate SLIs, SLOs and error budgets.
• Production on-call and incident response: act as incident commander, postmortems.
• Observability: build instrumentation and dashboards in Datadog.
• CI/CD engineering: design and optimize build and deployment pipelines; manage artifacts in Artifactory.
• Kubernetes day-2 operations and capacity planning; upgrades with Infra SecOps.
• Toil reduction and automation: identify recurring tasks and automate.
• Decision making on AI touches in delivery path and credential scoping.

Skills

Kubernetes

Argo CD

CI/CD

Helm

Python

Bash

Ansible

Incident response

Observability

Automation

Tools

Datadog

Artifactory

GitOps

Job description

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, lets go!

What you will be working on

• Reliability of a multi-tenant platform under growth: Defining SLIs and SLOs for the services in your area, instrumenting them honestly, and having the error-budget conversation when one is at risk.
• Making releases boring: Progressive delivery through Argo CD - canary and blue/green, automated verification, fast rollback - so a bad change is contained in minutes rather than escalated.
• Release management at pace: Coordinating what ships and when across [N] services, with change gates that catch problems without becoming a queue.
• Helm as a product, not a pile of charts: Reusable, tested, versioned charts that other teams can depend on.
• Incident response and what happens after: Leading incidents on the platform, then writing the postmortem and landing the follow-up work - the part most teams skip.
• Removing toil rather than absorbing it: Every recurring manual task is a candidate for automation in Python, Bash, or Ansible, and you'll have the time budget to actually do it.
• Deciding what AI should and shouldn't touch in our delivery path: Reviewing AI-authored Helm and pipeline code before it reaches production, keeping secrets and customer data out of agent context, scoping the credentials our CI agents hold.

Roles & Responsibilities

• Service level management: Define and operate SLIs, SLOs, and error budgets for platform services; make reliability legible to engineering and product; drive the follow-through when budgets are burned.
• Production on-call and incident response: Hold primary on-call, act as incident commander, and run blameless postmortems with tracked actions. Escalate cleanly to Infra SecOps where infrastructure or credential changes are required. Use AI-assisted analysis to improve triage, root-cause identification, anomaly detection, and MTTR.
• Observability: Build and maintain the instrumentation, SLO monitors, and dashboards in Datadog that make failure visible before customers see it; reduce alert noise as deliberately as you add alerts.
• CI/CD engineering: Design, operate, and optimize build and deployment pipelines - caching, parallel execution, automated testing, security scanning, deployment verification. Manage artifacts and dependencies in the Artifactory.
• Release management and progressive delivery: Own the release process end-to-end; implement GitOps with Argo CD including canary and blue/green rollouts, automated validation, and rollback; run change management so that shipping is routine rather than an event.
• Helm and deployment configuration: Build and maintain production-grade Helm charts and libraries with testing, versioning, policy validation, and reusable standards across services.
• Kubernetes day-2 operations: Operate and troubleshoot production Kubernetes - scheduling, autoscaling, resource management, add-on lifecycle, workload networking - at a depth that holds up at 3am. Cluster provisioning sits with Infra SecOps; you'll partner with them on upgrades and capacity changes.
• Toil reduction and automation: Identify and eliminate recurring operational work with automation in Python, Bash, and Ansible.
• Capacity and resilience: Workload-level capacity planning and resource tuning, resilience and failover testing, and feeding infrastructure capacity requirements