Overview

We are looking for candidates with Azure background only

Responsibilities

• Drive and implement Site Reliability Engineering (SRE) best practices across cloud platforms and services.
• Define, maintain, and improve:
• Service Level Indicators (SLIs)
• Service Level Objectives (SLOs)
• Service Level Agreements (SLAs)
• Error Budgets
• Improve service reliability, resiliency, scalability, and operational efficiency.
• Establish operational standards, reliability governance, and production readiness practices.
• Conduct Root Cause Analysis (RCA), postmortems, and reliability improvement initiatives.
• Participate in on-call rotations, incident management, and major incident resolution activities.
• Continuously improving operational processes to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR)
• Design, implement, and maintain enterprise observability and telemetry platforms.
• Build operational dashboards, reliability scorecards, and service health monitoring solutions.
• Configure proactive alerting, anomaly detection, and incident correlation mechanisms.
• Implement centralized monitoring and telemetry using:
• Grafana
• Prometheus
• Azure Monitor
• Log Analytics
• ELK Stack / ElasticSearch
• Power BI dashboards
• Develop actionable operational metrics and telemetry reporting for engineering and leadership teams.
• Enhance visibility into infrastructure, application, Kubernetes, and platform health.
• Drive automation-first operational practices across infrastructure and platform services.
• Develop Infrastructure-as-Code (IaC) solutions using:
• Terraform
• ARM/Bicep
• Ansible
• Build operational automation scripts using:
• Python

Qualifications

• Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience/certification).
• Knowledge of Python, scripting, or Infrastructure-as-Code tools (e.g., Terraform, Ansible, ARM/Bicep).
• Experience managing cloud platforms (e.g., Azure, AKS, Pivotal Cloud Foundry, or equivalent).
• Strong understanding of Kubernetes and containerization concepts.
• Experience with application packaging, deployment automation, and release management.
• Solid knowledge of relational databases (MS-SQL) and exposure to NoSQL technologies (e.g., Redis, ElasticSearch, MongoDB).
• Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, or similar).
• Familiarity with monitoring and logging tools (Grafana, ELK stack, Prometheus, PowerBI, etc.).
• Proficiency with Git and modern branching/merging workflows.
• Strong Linux administration and troubleshooting skills.
• Excellent problem-solving, communication, and teamwork skills.