Principal Engineer - DevOps

Overview

Principal Engineer, DevOps role responsible for designing, building, monitoring and maintaining highly available, scalable and secure systems and delivery pipelines, applying SRE practices and an AI-first approach to operations.

What you'll do

• Work with engineering teams to design, build, monitor and maintain the system for high availability and scalability.
• Define SLIs and SLOs with 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 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 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, and build our own where off-the-shelf tools fall short.
• Manage cloud infrastructure as code (Terraform / Pulumi) and keep environments consistent, reviewable and reproducible.
• Lead and participate in performance, load and stress tests; identify bottlenecks, opportunities for optimization and capacity planning.
• Participate in the on-call rotation and lead incident response as needed; write postmortems and follow through on the fixes.
• Identify repetitive operational work and engineer it away.
• Review existing processes and recommend changes or institute new processes as necessary, including monitoring, alerting, upgrades and tuning.
• Create quality project documentation of architecture designs, implementation plans, design documents, runbooks and test plans.

What you'll need

• Excellent programming skills in at least one language (Go, Python, Java, Node or similar), with production code you can walk through.
• Experience applying SRE practices: defining SLIs and SLOs, 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 like Docker/Kubernetes.
• Experience with CI/CD using Argo CD, Jenkins, Helm charts etc.
• Experience in performance diagnostics, capacity planning, performance architecture design, performance tuning and performance monitoring.
• Experience with the use, maintenance and configuration of monitoring, metrics and logging infrastructure (Datadog, Grafana, Prometheus, New Relic, etc.).
• Experience leading incident response and writing blameless postmortems, focused on removing the cause rather than handling the symptom.
• Comfortable working with modern NoSQL databases and big data platforms (MongoDB, Redis, etc.).
• Total experience of 10+ years, with a software development background and 3+ years working with GCP, Kubernetes and large-scale distributed systems.

Nice to have

• Experience with Go.

Details

• Location: India - Pune.
• Participation in an on-call rotation is required.