Senior DevOps Engineer

New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
AWSPythonBashKubernetesGrafanaPrometheusLinuxDevOpsTerraformAnsible

Requirements

  • 5+ years of experience in DevOps or SRE roles supporting production-grade, high-performance systems.
  • Strong Linux administration skills and hands-on experience with AWS cloud environments.
  • Proven experience with Kubernetes and containerized infrastructure at scale.
  • Proficiency in scripting and automation using Python and Bash; additional experience with Go, JavaScript, or TypeScript is a plus.
  • Strong experience with Infrastructure-as-Code tools such as Terraform and Ansible.
  • Solid background in observability tools such as Prometheus, Grafana, or similar monitoring stacks.
  • Experience in incident management, production support, and root cause analysis.
  • Understanding of cloud networking, distributed systems, and performance engineering principles.
  • Knowledge of security best practices, including IAM, SIEM, and secure deployment pipelines.

Responsibilities

  • Ensure the performance, reliability, and availability of mission-critical distributed systems supporting high-volume, low-latency workloads.
  • Proactively identify and resolve bottlenecks across compute, network, storage, and application layers.
  • Design, build, and maintain scalable infrastructure using Infrastructure-as-Code and automation practices.
  • Manage cloud-native environments and containerized workloads, ensuring resilience and efficiency at scale.
  • Participate in rotational on-call duties, handling incident response, root cause analysis, and preventive improvements.
  • Monitor system health and performance using observability tools and metrics-driven approaches.
  • Collaborate with engineering, trading, and security teams to align infrastructure with business and application needs.
  • Implement and enforce security best practices, including IAM, secure CI/CD, and production hardening.
  • Optimize system performance through tuning, profiling, and network-level improvements.
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