Site Reliability Engineer

Job Summary:
We are seeking a highly skilled and hands-on Senior DevOps / Data Engineer with strong expertise in Azure cloud, Kubernetes, CI/CD automation, and modern data engineering tools. The ideal candidate will have deep experience in designing, building, and managing cloud infrastructure, developing GitHub Actions pipelines from scratch, and supporting production environments with a focus on troubleshooting, performance optimization, and incident resolution.
Key Responsibilities:
Design, implement, and manage Azure Kubernetes Service (AKS) environments for scalable applications
Build and maintain CI/CD pipelines using GitHub Actions, including developing workflows from scratch
Work extensively with Azure Cloud (IaaS & PaaS) to provision, configure, and manage infrastructure
Set up and maintain lower environments (Dev/Test) and contribute to production environment deployments
Design, develop, and maintain data engineering pipelines using:
Apache Airflow
Azure Databricks
Develop and maintain Power BI dashboards and reporting solutions
Perform daily troubleshooting, log analysis, and root cause analysis across applications and infrastructure
Support and maintain production systems hosting multiple applications
Handle and resolve user queries, incidents, and service requests in a timely manner
Collaborate with cross-functional teams to ensure system reliability, scalability, and performance
Azure Kubernetes Service (AKS) – Advanced (8/10 proficiency)
GitHub Actions (CI/CD) – Advanced (8/10 proficiency), including pipeline creation from scratch
Microsoft Azure (IaaS & Infrastructure Management) – Advanced (8/10 proficiency)
Data Engineering Stack:
Apache Airflow
Azure Databricks
Power BI – Dashboard development and reporting
Strong expertise in production support, monitoring, and incident management
Excellent log analysis and debugging skills
Experience working in multi-application production environments
Desired Candidate Profile:
5+ years of hands-on experience in DevOps, Cloud Engineering, or Data Engineering roles
Proven experience building and managing end-to-end cloud and CI/CD solutions
Strong problem-solving skills with a proactive approach to troubleshooting
Ability to work in high-pressure production environments
Excellent communication skills and experience handling user queries and stakeholder interactions
Self-driven with ownership mindset and continuous learning attitude
Experience in monitoring tools (Kube Prometheus Stack, Azure Monitor, Log Analytics, etc.)
Familiarity with security best practices and tools such as, cycode, codeQL, wiz.
Exposure to infrastructure-as-code tools (e.g., Terraform, ARM templates)

Employment type
Full-time

Work arrangement
No