DevOps Engineer 2

Cashfree Payments • Full-time • Bangalore Urban, IN • 3d ago

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 (e.g., 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 strategy—implement 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 fast-paced, engineering-driven culture.