Sr DevOps Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr DevOps Engineer based in the United States.

This is a high-impact platform engineering role focused on building and scaling cloud infrastructure that enables engineering teams to deliver software faster and more reliably. In this position, you will design and evolve a modern Azure-based platform, with a strong emphasis on Infrastructure-as-Code, automation, and self-service capabilities. You will work across multiple development teams to eliminate deployment bottlenecks and standardize CI/CD practices. The role requires deep hands-on expertise in Azure, Terraform, and Azure DevOps to build scalable, repeatable infrastructure solutions. You will play a key role in shaping platform architecture, improving operational efficiency, and enabling engineering velocity across the organization. This is a fully remote opportunity within a collaborative and fast-moving technical environment.

Accountabilities

• Design, build, and maintain scalable Azure cloud infrastructure using Terraform as the primary Infrastructure-as-Code tool.
• Develop reusable Terraform modules, deployment patterns, and infrastructure standards to support multiple engineering teams.
• Build and enhance platform capabilities that enable self-service deployments and reduce infrastructure dependencies.
• Design, implement, and optimize CI/CD pipelines using Azure DevOps (ADO).
• Manage Terraform state, automation workflows, and infrastructure deployment processes.
• Support and maintain Azure App Services and Azure Functions in production environments.
• Modernize legacy deployment systems by migrating workflows into standardized Azure DevOps pipelines.
• Establish infrastructure governance, security standards, and operational best practices across the platform.
• Partner with engineering teams to streamline application delivery and reduce operational overhead.
• Document platform architecture, deployment procedures, and operational guidelines for internal teams.
• Evaluate and contribute to future platform initiatives, including containerization and Kubernetes adoption.
• Provide troubleshooting and operational support for complex cloud infrastructure and deployment issues.

Requirements

• 5+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles.
• Strong hands-on experience with Microsoft Azure in production environments.
• Expert-level proficiency in Terraform and Infrastructure-as-Code practices.
• Solid experience with Azure DevOps (ADO) including CI/CD pipeline design and implementation.
• Strong background in designing, building, and maintaining CI/CD automation workflows.
• Experience with Azure App Services and Azure Functions.
• Strong scripting skills in PowerShell, Bash, Python, or similar automation languages.
• Experience supporting multiple engineering teams in a shared infrastructure or platform model.
• Strong troubleshooting, debugging, and root cause analysis capabilities.
• Understanding of infrastructure governance, security, and operational best practices.
• Experience working in fast-paced, collaborative engineering environments.
• Kubernetes (AKS), Docker, and observability tooling experience is a strong plus.
• Prior experience building internal developer platforms or self-service infrastructure is highly valued.

Benefits

• Fully remote work environment within the United States.
• Opportunity to design and scale a modern enterprise-grade Azure platform.
• High-impact role influencing engineering velocity across multiple teams.
• Collaborative and innovative engineering culture focused on modern cloud practices.
• Exposure to advanced cloud, DevOps, and platform engineering technologies.
• Career growth opportunities in a fast-scaling technical organization.
• Competitive compensation and standard benefits package (details provided during hiring process).

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.