Senior Azure Cloud Engineer

As part of the Reailize and B-Yond group, you’ll be joining a team that is redefining how technology powers businesses worldwide. We combine global expertise in AI, automation, and network transformation with a culture that values innovation, creativity, and impact. Here, you’ll have the opportunity to work on groundbreaking projects, grow your skills, and be part of a group that’s shaping the future of technology

Role Overview

This position is an Senior Azure Cloud Engineer role within our client’s pre-production Mobility Labs group. The team is responsible for building and standardizing CI/CD pipelines that automate how Network Functions are deployed across multiple lab environments, with a future path to production deployments.

This role works closely with our client’s application teams and third-party vendors to design, implement, and drive CI/CD automation using Azure DevOps (ADO). The focus is on pipeline development, deployment automation, and workflow orchestration.

We are seeking a well-rounded professional who brings an equal balance of vendor management expertise (50%) and hands-on technical skills (50%). This role serves as a key bridge between external partners and internal technical teams, ensuring vendors deliver high-quality solutions while also contributing directly to technical execution and problem-solving

This opportunity requires onsite presence twice a week out of any of these locations:

• New Jersey: Middletown, Bedminster
• Washington: Bothell, Redmond

Key Responsibilities

• Design, build, and maintain Azure DevOps CI/CD pipelines to automate deployment of Network Functions across lab and future production environments
• Collaborate directly with application teams and third-party application vendors to integrate CI/CD workflows
• Coordinate vendor deliverables, timelines, and dependencies with internal stakeholders
• Ensure vendors meet quality, security, and compliance standards
• Identify CI/CD improvements and standardization opportunities
• Support container-based workflows using Docker and Kubernetes
• Create and troubleshoot Linux shell script templates from scratch
• Develop and maintain YAML-based Azure DevOps pipelines, with emphasis on deployment activities
• Work with Azure DevOps agents, repositories, and pipeline templates
• Implement secure pipeline integrations using Azure Key Vault, service principals, and Azure Resource Manager endpoints
• Automate infrastructure configuration using Terraform (pipeline-driven, not infra ownership)
• Use Azure CLI extensively for automation and troubleshooting
• Drive and lead technical discussions, design reviews, and working sessions
• Troubleshoot pipeline failures and deployment issues across environments

Qualifications:

• Strong (about 10+ years of experience) hands-on experience with Linux and shell scripting
• Strong experience working with external vendors is mandatory
• Strong experience with Ansible and Python
• Expert-level understanding of Azure DevOps and Azure, including:
• Azure DevOps Pipelines (especially YAML pipelines)
• Azure Resource Manager (service connections, endpoints, service principals)
• Experience creating and maintaining deployment-focused CI/CD pipelines
• Strong experience working with Git (branching, tagging, commits, pull requests)
• Solid understanding of CI/CD methodologies and best practices
• Strong working knowledge of YAML and JSON, including variable definition and reuse
• Troubleshooting and working with different CNI/CSI is a nice to have

Interview Integrity:

During the interview process, we're evaluating your individual problem-solving skills, creativity, and approach to challenges. While AI tools like ChatGPT, Claude, and Cursor are part of your daily toolkit once you join B-Yond, all interviews, assessments, and take-home assignments must be completed independently.

You may not use AI tools, third-party services, coaching platforms, or content-farming services during any part of the interview process unless we explicitly permit it. We will clearly communicate when AI tools are allowed for specific assessments.

Any indication of third-party assistance or AI-generated responses will result in immediate disqualification.