Azure DevSecOps (Development, Security, and Operations) Engineer
Company: K&L GATES
Location: Austin, TX (Remote)
Salary: $111,000 - $216,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-06-12
About this role
### Job Description
At K&L Gates, we are looking for smart, imaginative and hard-working people with diverse backgrounds, experiences and ideas to join us. Perhaps our search for talented visionaries and your search for important and impactful work lead to the same place.
We are seeking a Azure DevSecOps (Development, Security, and Operations) Engineer to join the firm. The Azure DevSecOps Engineer serves as a senior technical leader responsible for the architecture, security, and operational excellence of enterprise Azure platforms and CI/CD pipelines. This role drives DevSecOps strategy and standards, embeds security and compliance across the delivery lifecycle, and partners with application, infrastructure, security, and data teams to enable scalable, resilient, and secure cloud solutions, including AI and data workloads.
KEY RELATIONSHIPS
Chief Technology Officer; Director of Enterprise Applications, AI, and Data; Senior Manager of Automation and Development; Enterprise Operations; IT Security
ESSENTIAL DUTIES
• 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 to 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, database-backed systems, and AI workloads.
• Esta...