DevOps Engineer 2

4 days ago

Bengaluru, Karnataka, India Cashfree Payments Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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.

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