About the OpportunityWe are seeking a highly adaptable and technically strong Senior DevOps Engineer to help design, automate, and support modern cloud infrastructure and application delivery platforms across the SRM enterprise. This role is ideal for someone who thrives in fast-moving environments, enjoys solving complex technical problems, and is comfortable operating across infrastructure, automation, cloud architecture, and application support domains.
This position partners closely with software engineering, data, and business application teams to improve platform reliability, deployment automation, operational maturity, and developer experience. While the primary cloud platform is Microsoft Azure, the environment includes multiple cloud technologies, data platforms, CI/CD systems, and evolving enterprise tooling.
The ideal candidate is not narrowly focused on a single technology stack but instead approaches problems from a systems-thinking perspective, with the ability to learn and adapt quickly as priorities evolve.
Success in this role will be measured by the reliability and scalability of infrastructure platforms, maturity of CI/CD pipelines, reduction of operational friction for development teams, effectiveness of automation initiatives, and the ability to drive practical technical improvements across teams.
Your Mission & Key Responsibilities- Design, build, and maintain scalable CI/CD pipelines using Azure DevOps and GitHub workflows
- Develop and maintain Infrastructure as Code (IaC) solutions using Terraform
- Create and manage reusable Terraform modules and shared infrastructure patterns
- Architect and support Azure-based cloud infrastructure with an emphasis on reliability, scalability, security, and cost optimization
- Automate operational and infrastructure processes using PowerShell and Python
- Support deployment, troubleshooting, and operational needs for cloud-hosted applications and services
- Collaborate closely with software engineering teams to improve deployment strategies, platform reliability, and developer experience
- Troubleshoot infrastructure, networking, deployment, and application-level issues across environments
- Support cloud networking, identity integration, monitoring, logging, and operational observability initiatives
- Contribute to platform architecture discussions, operational standards, and long-term technical direction
- Document infrastructure standards, operational procedures, and deployment workflows
- Participate in continuous improvement initiatives for DevOps practices, tooling, and platform engineering processes
- Mentor junior team members and contribute to knowledge sharing across the organization
What Sets You Apart- Microsoft Azure cloud experience (4+ years)
- Azure DevOps and CI/CD pipeline development (3+ years)
- Strong understanding of Azure PaaS services and cloud-native architecture principles
- Terraform experience including module development, remote state management, and reusable infrastructure patterns (3+ years)
- PowerShell scripting and automation (3+ years)
- Python scripting and automation (3+ years)
- Strong understanding of cloud networking fundamentals, identity/access management, and infrastructure troubleshooting
- Experience supporting cloud-hosted applications and deployment workflows
- Experience with Git-based development workflows and repository management
- SQL fundamentals including troubleshooting, querying, and basic performance analysis
- Linux administration fundamentals
- Strong troubleshooting and systems analysis skills across infrastructure and application domains
Preferred Qualifications- Kubernetes and container orchestration experience
- Experience with multi-cloud environments (Azure, Google Cloud, Oracle Cloud, AWS, etc.)
- Experience supporting application development teams in .NET, React, or similar ecosystems
- Azure Data Factory (ADF) administration and pipeline troubleshooting
- Experience with monitoring and observability platforms
- Windows Server and IIS administration
- Experience with enterprise integration, APIs, or distributed systems
- Exposure to data platforms, analytics tooling, or Microsoft Fabric concepts
- Background in computer engineering, systems engineering, or software engineering
