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    • Site Reliability Engineer - New Delhi - iVedha Inc.

    iVedha Inc.
    iVedha Inc. New Delhi

    2 weeks ago

    Default job background
    Description
    Site Reliability Engineer (SRE)
    We are seeking a highly skilled and motivated Site Reliability Engineer (SRE) with strong expertise in Python, advanced proficiency in Azure-based infrastructure, and significant experience in Customer Reliability Engineering (CRE) and Automation.
    The ideal candidate will have 3 to 5 years of experience in SRE or related fields and a proven ability to design, deploy, and maintain scalable, reliable, and high-performing cloud solutions.
    This role focuses on driving system reliability, leveraging automation to optimize operations, and delivering robust solutions for complex infrastructure challenges.
    Key Responsibilities:
    • Design & Plan
      • Design and implement comprehensive Elastic (ELK stack) solutions, including Elasticsearch, Logstash, and Kibana.
      • Analyze and document requirements to improve existing infrastructure through automation (“Infrastructure as Code”) and seamless Azure cloud integration.
      • Develop and document architectural designs for scalable Azure solutions, tailored to customer requirements.
    • Build & Deploy
      • Build robust CI/CD pipelines (Azure DevOps, Jenkins, ArgoCD) to support efficient code deployment and reusable automation workflows.
      • Advance scripting and automation frameworks using Python, Bash, and Painless scripting languages.
      • Manage, troubleshoot, and enhance Kubernetes clusters, including Azure Kubernetes Service (AKS) environments.
      • Deploy production-ready Elasticsearch clusters on-premises and in Kubernetes clusters.
    • Operate & Support
      • Proactively monitor systems using tools like Azure Monitor, Elastic Observability, and Application Insights, ensuring high availability and performance.
      • Develop self-healing mechanisms and automated scaling for distributed systems to reduce downtime and improve reliability.
      • Lead incident response processes, conduct root cause analysis, and drive post-mortem discussions to prevent recurring issues.
      • Collaborate with security teams to implement and maintain best practices for system security and compliance.
    • Automation
      • Develop robust automation scripts for repetitive operational workflows, configuration management, and deployment pipelines using tools such as Ansible, Terraform, and Helm.
      • Drive enhancements in infrastructure automation to enable seamless deployments and self-service capabilities for engineering teams.
    • Collaboration & Customer Engagement
      • Partner with cross-functional teams (engineering, operations, and product) to design systems with reliability and performance in mind.
      • Work closely with customers to address specific reliability challenges and ensure tailored Azure-based solutions meet their operational needs.
      • Foster a DevOps culture and champion best practices across teams.
    Qualifications:
    • Experience
      • 5+ years of hands-on experience as SRE / SRE Automation Engineer.
      • Proven expertise in designing, deploying, and managing Azure cloud infrastructure and services.
      • SIGNIFICANT experience in Elastic stack (ELK), including managing Elasticsearch clusters, Logstash pipelines, and Kibana visualizations.
      • Advanced proficiency in Python scripting and automation for large-scale systems.
      • Strong knowledge of Kubernetes cluster management, including AKS.
      • Demonstrated experience building CI/CD pipelines and deploying applications in distributed environments.
      • Working knowledge of containerization tools like Docker and orchestration technologies.
    • Technical Skills
      • Azure Expertise: Azure Kubernetes Service (AKS), Azure DevOps, Application Insights, Log Analytics, and Azure security best practices.
      • Automation Tools: Proficiency with Ansible, Terraform, Helm, and ArgoCD.
      • Scripting: Python (advanced), Bash, Painless scripting for Elasticsearch pipelines.
      • Monitoring: Elastic Observability, Grafana, and Azure-native tools.
      • Networking: Understanding of virtual networks, firewalls, and RBAC in cloud environments.
      • Security: Familiarity with OAuth, SAML, and secure deployment methodologies.
      • Knowledge of highly scalable systems, RESTful APIs, and caching mechanisms.
    • Soft Skills
      • Strong problem-solving and troubleshooting skills for complex distributed systems.
      • Excellent communication and collaboration skills, including the ability to liaise between technical teams and non-technical stakeholders.
      • Customer-focused approach, with a track record of designing solutions that meet client-specific reliability requirements.
      • Proactive, self-motivated, and committed to continuous learning and improvement.
    • Education
      • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
    • Preferred Qualifications
      • Working knowledge of Elastic Cloud for Kubernetes (ECK).
      • Certification in Microsoft Azure or Kubernetes.
      • Experience implementing GitOps methodologies for deployment automation.
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Site reliability engineer