lever
DevOps Engineer - Contract
jobgether
Remote, IND
Contract
Remote
Discovered 2 weeks ago
DevOps engineeringMicrosoft AzureCloud infrastructureKubernetesAzure Kubernetes Service (AKS)CI/CD pipelines
Free
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DevOps engineeringMicrosoft AzureCloud infrastructure
Role Overview
Work as a DevOps Engineer for a partner company on a modern cloud and data platform based in India.
Build and evolve platform capabilities for observability, reliability, automation, data quality, and FinOps.
The role combines DevOps, SRE, data infrastructure, monitoring, and cloud-cost optimization.
Key Skills for This Role
DevOps engineeringMicrosoft AzureCloud infrastructureKubernetesAzure Kubernetes Service (AKS)CI/CD pipelines
Full Job Posting
Position Overview
Work as a DevOps Engineer for a partner company on a modern cloud and data platform based in India.
Build and evolve platform capabilities for observability, reliability, automation, data quality, and FinOps.
The role combines DevOps, SRE, data infrastructure, monitoring, and cloud-cost optimization.
Accountabilities
- Build platform services for observability, operational monitoring, data quality, and reliability.
- Design and operate highly available Azure infrastructure using Site Reliability Engineering principles.
- Develop proactive issue, anomaly, performance, and operational-risk detection capabilities.
- Create automated and semi-automated remediation workflows for faster incident response.
- Measure and report data quality across enterprise and supply chain data pipelines.
- Monitor warehousing, transformation, SAP, manufacturing, and other critical data sources.
- Develop dashboards with Grafana, Power BI, or Databricks for health, KPIs, financial metrics, and data quality.
- Drive automation through Infrastructure as Code, CI/CD, Python, and Shell scripting.
- Integrate and optimize Fivetran, AKS, Kafka, Azure SQL Server, Databricks, and Flink in Azure.
- Apply FinOps practices to monitor cloud spending and identify cost optimization opportunities.
- Analyze incidents, performance, operational metrics, and data-quality issues for continuous improvement.
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