Senior DevOps Engineer
About The Position
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. This is a high-impact individual contributor role for an engineer who combines strong technical depth with ownership, automation-first thinking, and a passion for improving developer productivity, platform reliability, and security.
Requirements
- 5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or related infrastructure roles.
- Deep experience operating and supporting production workloads in AWS.
- 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Benefits
- medical, dental, and vision coverage
- a 401(k) with company match
- paid time off and holidays
- wellness programs
- an employee assistance program
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
