DevOps Engineer
Exillar
- Location : Ahmedabad, India (On-site)
- Experience: 2+ Years
- Design, implement, and maintain CI/CD pipelines for software and data engineering workflows
- Manage and optimize cloud infrastructure on Microsoft Azure (or equivalent platforms)
- Automate infrastructure provisioning, configuration, and scaling using IaC tools
- Monitor system health, performance, and availability - and respond to incidents proactively
- Collaborate with Data Engineers, AI/ML Engineers, and BI Developers to support deployment of pipelines, models, and applications
- Manage containerized workloads using Docker and Kubernetes
- Implement and maintain security best practices - access controls, secrets management, vulnerability scanning, and compliance
- Manage environment configurations across development, staging, and production
- Optimize infrastructure costs without compromising reliability or performance
- Maintain clear documentation of infrastructure architecture, runbooks, and deployment processes
- 2+ years of hands-on experience in a DevOps, Site Reliability, or Cloud Infrastructure role
- Strong working knowledge of Microsoft Azure - compute, storage, networking, and managed services
- Proficiency with CI/CD tools - Azure DevOps, GitHub Actions, Jenkins, or similar
- Hands-on experience with Docker and Kubernetes for containerization and orchestration
- Experience with Infrastructure-as-Code tools - Terraform, Bicep, or ARM templates
- Solid scripting skills in Python, Bash, or PowerShell for automation
- Understanding of networking fundamentals - DNS, load balancing, VPNs, firewalls, and subnets
- Familiarity with monitoring and observability tools - Azure Monitor, Grafana, Prometheus, or similar
- Experience with version control and collaborative workflows using Git
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Azure certifications - AZ-900, AZ-104, AZ-400, or equivalent
- Experience supporting data engineering or ML workloads in production
- Familiarity with Databricks, Azure Synapse, or Azure ML infrastructure
- Exposure to multi-cloud environments (AWS or GCP alongside Azure)
- Knowledge of security frameworks and compliance standards (ISO 27001, SOC 2, or similar)
- Experience with log aggregation and incident management tools
- Background working in data-heavy or analytics-focused engineering teams
- Work on modern, cloud-native infrastructure supporting BI, Data Engineering, and AI workloads
- Direct collaboration with cross-functional engineering teams
- Exposure to cutting-edge data and AI technology stacks
- Structured growth path within a fast-scaling technology company
- A culture that values reliability, automation, and engineering ownership