Senior DevOps Engineer

About the role

Foley is seeking a Senior DevOps Engineer to help modernize and scale the infrastructure that powers both our core compliance SaaS platform and our next generation of AI-enabled products. This role sits within the Infrastructure Platform team and will be responsible for evolving our Azure DevOps ecosystem, building GitHub Enterprise CI/CD foundations, advancing DevSecOps practices, and strengthening our cloud infrastructure through Infrastructure as Code.

Responsibilities

• CI/CD Platform Modernization
• Modernize and standardize Azure DevOps pipelines supporting Foley’s .NET SaaS platform, improving reliability, speed, and consistency.
• Design and implement GitHub Enterprise and GitHub Actions workflows that establish scalable standards for AI-native products and engineering teams.
• Drive pipeline-as-code adoption and enforce deployment best practices across development, staging, and production environments.
• Integrate observability, automated quality gates, and testing frameworks directly into CI/CD workflows.
• DevSecOps & Platform Security
• Implement and manage SAST and DAST tooling across Azure DevOps and GitHub environments.
• Establish security enforcement policies, vulnerability remediation workflows, and deployment gate standards.
• Partner with engineering teams to improve application security posture through automation and secure development practices.
• Maintain secure secrets management, IAM controls, and infrastructure security standards.
• Cloud Infrastructure & Automation
• Design, deploy, and maintain AWS infrastructure using Terraform and AWS CDK.
• Develop reusable Infrastructure-as-Code patterns that support SaaS and AI platform workloads.
• Improve platform reliability, scalability, and operational efficiency through automation and engineering best practices.
• Contribute to architecture decisions that support long-term platform evolution and growth.
• AI-Enabled Engineering
• Leverage AI-assisted development tools to improve engineering productivity and operational excellence.
• Support infrastructure requirements for AI workloads, agent platforms, model integrations, and emerging AI services.
• Identify opportunities to automate repetitive operational work through AI and modern platform tooling.

Qualifications

• 5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or related infrastructure roles.
• Hands-on expertise with GitHub Enterprise and GitHub Actions in enterprise-scale environments.
• Strong Infrastructure as Code experience using Terraform and/or AWS CDK.
• Experience building and maintaining Azure DevOps YAML pipelines.
• Strong understanding of cloud security, IAM, secrets management, and least-privilege design principles.
• Experience integrating SAST and DAST tooling into CI/CD pipelines.
• Experience embedding automated testing (unit, integration, regression, and end-to-end testing) into deployment workflows.
• Strong troubleshooting, automation, and systems-thinking skills.
• Excellent written and verbal communication skills.

Nice to haves:

• Experience supporting .NET / C# application delivery pipelines.
• Experience with Datadog or similar observability platforms.
• Experience supporting AI/ML infrastructure, model-serving environments, vector databases, or agent-based platforms.
• Familiarity with GitHub Advanced Security, Snyk, Semgrep, OWASP ZAP, or similar security tooling.

Location

This role is primarily remote (US-based) with occasional travel for team collaboration, training, and company events. This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Massachusetts, Michigan, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Wisconsin.