Job Description

Site Reliability Engineer (SRE)

Position Overview:

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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