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Job Type

Full Time

Job Description

QualityKiosk Technologies is one of the world's largest independent Quality Engineering (QE) providers and digital transformation enablers, helping companies build and manage applications for optimal performance and user experience.

QualityKiosk, which offers automated quality assurance solutions for clients across geographies and verticals, counts 50 of the Indian Fortune 100 companies and 18 of the global Fortune 500 companies as its key clients. The company is banking on its speed of execution and technology advancement as key factors to drive a 5X growth in the next five years, both in revenues and number of employees.

Site Reliability Engineer (SRE)

Key Responsibilities:

  • Manage and optimize infrastructure on

    Google Cloud Platform (GCP)

    , including

    GKE (Kubernetes)

    clusters.
  • Implement and maintain

    CI/CD pipelines

    using tools like

    Jenkins

    or

    GitLab CI

    .
  • Develop and maintain

    Helm charts

    for Kubernetes deployments.
  • Automate infrastructure provisioning using

    Terraform

    and configuration management with

    Ansible

    .
  • Monitor system health and performance using

    Dynatrace

    and other observability tools.
  • Troubleshoot issues related to

    Linux systems

    ,

    networking

    , and

    containerized applications

    .
  • Write and maintain scripts in

    Bash

    or

    Python

    to automate operational tasks.
  • Ensure version control best practices using

    Git

    .
  • Collaborate with cross-functional teams to improve system reliability and deployment processes.
  • Maintain documentation and runbooks for operational procedures and incident response.

Required Skills & Qualifications:

  • 2+ years of relevant hands-on experience with

    DevOps / SRE / GCP services.

  • Strong understanding of

    Linux fundamentals

    and

    TCP/IP networking

    .
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Familiarity with monitoring tools (Prometheus, Grafana, Datadog, etc.).
  • Experience with

    Git

    for version control.
  • Proficiency in

    Bash

    or

    Python

    scripting.
  • Solid grasp of

    CI/CD concepts

    and implementation.
  • Working knowledge of

    Docker

    and containerization principles.
  • Hands-on experience with

    Terraform

    and

    Ansible

    .
  • Familiarity with

    monitoring and logging tools

    , especially

    Dynatrace

    .
  • Experience with

    Helm charts

    for Kubernetes.
  • Basic understanding of

    database concepts

    .

Preferred Qualifications:

  • Certification in GCP or Kubernetes (e.g., GCP Associate Cloud Engineer, CKA).
  • Experience with microservices architecture and distributed systems.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.

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