Job highlights

- 3+ years of hands-on experience in DevOps,SRE,or Platform Engineering roles with production infrastructure
- Experience with observability and monitoring tools such as Prometheus / Grafana,ELK,DataDog,or New Relic

- Required Skills
- Proficient with at least one major cloud platform (AWS,GCP,or Azure)

- Responsibilities
- Design, implement, and manage highly secure, scalable, and resilient infrastructure, with Kubernetes as the central orchestration layer.
- Own and automate infrastructure provisioning using IaC tools (eg, Terraform, Pulumi), focusing on production-grade Kubernetes clusters.
- Develop robust automation frameworks and tools in Python/Go/Shell to streamline platform operations, deployment workflows, and day-to-day infra tasks.
- Lead the observability strategyimplement and maintain metrics, logging, and tracing solutions to ensure platform performance, reliability, and cost-efficiency.
- Monitor and manage Kubernetes workloads, health probes, resource limits/quotas, pod autoscaling, and network policies at scale.
- Drive CI/CD pipeline improvements, including GitOps workflows, container image management, and zero-downtime deployments using Helm or Kustomize.
- Investigate and resolve infrastructure and application-level issues through in-depth troubleshooting and debugging.
- Participate in incident response, RCA,



and blameless postmortems; contribute to system reliability and SRE best practices.
- Evaluate and implement cutting-edge DevOps/Kubernetes tooling, while evangelizing infrastructure and coding standards across teams.
- Required Skills.
- 3+ years of hands-on experience in DevOps, SRE, or Platform Engineering roles with production infrastructure.
- Deep expertise in Kubernetes deploying, scaling, and maintaining services across clusters (EKS, GKE, AKS, or self-managed).
- Proficient with at least one major cloud platform (AWS, GCP, or Azure).
- Strong proficiency in Infrastructure as Code (IaC) using Terraform, Pulumi, or CloudFormation.
- Solid programming/scripting skills in Python, Go, Bash, or Java experienced in writing automation scripts and building tools.
- In-depth knowledge of Linux internals, networking, and container runtimes (Docker, containerd).
- Experience with observability and monitoring tools such as Prometheus/Grafana, ELK, DataDog, or New Relic.
- Comfortable working with microservices, containerized applications, and REST-based architectures.
- Passionate about building reliable, scalable infrastructure through code and thriving in a rapid-paced, engineering-driven culture.

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📌 DevOps Engineer 2 (Bengaluru)
🏢 Cashfree Payments
📍 Bengaluru