Cloud/DevOps Engineer

About The Company K&L Gates is a fully integrated global law firm with a strong presence in more than 40 offices worldwide. Over the past decade, the firm has experienced significant growth, establishing itself as one of the largest U.S.-based law firms globally. Known for its innovative approach and entrepreneurial spirit, K&L Gates prides itself on delivering impactful solutions to complex legal challenges across various industry sectors and regions. The firm fosters a culture of collaboration, diversity, and social responsibility, emphasizing inclusivity and holistic professional development. Its commitment to innovation and excellence has earned it numerous industry recognitions, positioning it as a leader in legal services and a desirable workplace for talented professionals seeking meaningful and impactful work.

About The Role We are seeking a highly skilled and experienced Cloud/DevOps (Development, Security, and Operations) Engineer to join our dynamic team. This senior technical leadership role focuses on the architecture, security, and operational excellence of enterprise Azure platforms and CI/CD pipelines. The successful candidate will drive DevSecOps strategies, embed security and compliance measures across the software delivery lifecycle, and collaborate with cross-functional teams including application, infrastructure, security, and data teams. The role involves designing scalable, resilient, and secure cloud solutions, including AI and data workloads, and supporting modernization initiatives and on-premises migrations. The Cloud/DevOps Engineer will mentor junior staff, act as a subject matter expert, and champion best practices in cloud architecture, security automation, and DevSecOps standards to ensure the firm’s cloud environment remains secure, compliant, and efficient.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
• Seven or more years of progressive experience in DevSecOps, cloud engineering, or enterprise software delivery
• Advanced expertise in designing and operating CI/CD pipelines across build, test, security, and deployment stages
• Proficiency with Microsoft Azure services, including networking, identity, security, and platform services
• Experience with infrastructure-as-code tools such as Bicep, ARM templates, or Terraform
• Hands-on experience with container platforms like Docker, Kubernetes, or similar technologies
• Deep understanding of application and cloud security practices, including SAST, DAST, and compliance frameworks
• Proficiency in scripting or programming languages such as PowerShell, Python, or Bash
• Experience supporting enterprise-scale applications, data, and AI workloads in Azure environments
• Knowledge of Microsoft Foundry (Azure AI Studio) Agent Service is a plus
• Experience with AI-assisted development tools like GitHub Copilot or similar
• Relevant Microsoft Azure certifications such as AZ-400, AZ-500, AZ-204, AI-200, or SC-500 are preferred

Responsibilities

• Provide technical leadership and oversight for Azure DevSecOps platforms, ensuring secure, scalable, and resilient cloud environments
• Design, implement, and govern end-to-end CI/CD and DevSecOps pipeline architectures aligned with enterprise standards and compliance requirements
• Embed security controls, scanning, and policy-as-code across infrastructure, application, and data delivery pipelines
• Lead automation of Azure infrastructure using infrastructure-as-code frameworks to support enterprise-scale deployments
• Build, design, and support containerized platforms and orchestration solutions for cloud-native and hybrid workloads
• Design and maintain Azure environments supporting production systems, modernization initiatives, and on-premises migrations
• Partner with application, data, and AI teams to enable secure delivery of enterprise applications and AI workloads
• Establish and maintain shared CI/CD components, frameworks, and reusable modules to ensure delivery consistency
• Define and enforce DevSecOps best practices, standards, and governance models across delivery teams
• Enable Agile delivery through DevSecOps tooling such as Azure DevOps, GitHub, GitLab, Jira, and Confluence
• Design Azure environments for AI workloads, including private networking and restricted egress designs
• Mentor engineers and act as a subject-matter expert in DevSecOps, Azure architecture, and security automation

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