Cloud Engineer / DevOps Engineer

About the role

The Cloud/DevOps (Development, Security, and Operations) 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.

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 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.
• Establish and maintain shared CI/CD components, frameworks, and reusable modules to accelerate 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.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Seven or more years of progressive experience in DevSecOps, cloud engineering, or enterprise software delivery.
• Advanced experience designing and operating CI/CD pipelines across build, test, security, and deployment stages.
• Demonstrated expertise with Microsoft Azure services, including networking, identity, security, and platform services.
• Strong experience with infrastructure-as-code tools such as Bicep, ARM templates, or Terraform.
• Experience designing and operating container platforms using Docker, Kubernetes, or similar technologies.
• Deep knowledge 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 application, data, and AI workloads in Azure environments.
• Working knowledge of Microsoft Foundry (formerly Azure AI Studio) Agent Service.
• Experience leveraging AI-assisted development tools such as GitHub Copilot or similar.
• Relevant Microsoft Azure certifications preferred (AZ-400, AZ-500, AZ-204, AI-200, or SC-500).

Skills

• Advanced experience designing and operating CI/CD pipelines across build, test, security, and deployment stages.
• Demonstrated expertise with Microsoft Azure services, including networking, identity, security, and platform services.
• Strong experience with infrastructure-as-code tools such as Bicep, ARM templates, or Terraform.
• Experience designing and operating container platforms using Docker, Kubernetes, or similar technologies.
• Deep knowledge 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 application, data, and AI workloads in Azure environments.
• Working knowledge of Microsoft Foundry (formerly Azure AI Studio) Agent Service.
• Experience leveraging AI-assisted development tools such as GitHub Copilot or similar.
• Relevant Microsoft Azure certifications preferred (AZ-400, AZ-500, AZ-204, AI-200, or SC-500).

Benefits

K&L Gates offers a comprehensive suite of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time personnel include:

• Medical/Prescription Drug Coverage (including a Health Savings Account feature)
• Back-up Child/Elder Care and access to a caregiving concierge
• Dental Insurance
• Wellness Program
• Vision Insurance
• Pre-tax Commuting Benefits
• 401(k) Retirement Plan and Profit Sharing
• Business Travel Accident Insurance
• Short- and Long-term Disability Protection
• Pet Insurance
• Life Insurance (including Basic, Supplemental, Spouse, Child, and Accidental Death and Dismemberment)
• Health Advocacy Services
• Paid Time Off (25-30 days per year)
• Identity Protection/Restoration and Fraud Insurance
• Parental Leave (18 weeks of which 6 are paid; short-term disability may provide additional paid time off)
• Student loan refinancing options and access to a student loan concierge service
• Paid Holidays (12)
• Addiction Resources
• Family Building Benefits
• Breast milk delivery and lactation support services
• Flexible Spending Accounts
• Employees also may be eligible to receive bonuses and certain expense reimbursements
• Employee Assistance Program
• Professional Development and CLE Credit Opportunities
• 529 Deductions
• Relocation Accident Insurance
• Employee Referral Program
• Critical Illness Insurance
• Hybrid/Remote Work Opportunities
• Hospital Indemnity Insurance
• Perks including: Technology, Entertainment, and Travel Discount Programs
• Bereavement Leave
• All other benefits (such as leaves of absence) required by law

Pay

Salary $111,000 - $216,000 / year

The compensation salary for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors.

Schedule

Not specified

Qualifications

Not specified

Skills

Not specified