# SENIOR DEVOPS ENGINEER
## About the Role
Foley is seeking a **Senior DevOps Engineer** to modernize and scale the infrastructure supporting its core compliance SaaS platform and next-generation AI-enabled products. As part of the Infrastructure Platform team, you will evolve the **Azure DevOps** ecosystem, build **GitHub Enterprise and GitHub Actions CI/CD** foundations, advance DevSecOps practices, and strengthen 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 focus on improving developer productivity, platform reliability, security, and operational excellence.
## Key Responsibilities
### CI/CD Platform Modernization
- Modernize and standardize **Azure DevOps pipelines** supporting Foley's .NET SaaS platform.
- Improve pipeline reliability, speed, and consistency.
- Design and implement **GitHub Enterprise and GitHub Actions workflows** for AI-native products and engineering teams.
- Drive adoption of pipeline-as-code and enforce deployment best practices across development, staging, and production environments.
- Integrate observability, automated quality gates, and testing frameworks 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 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 (IaC)** patterns supporting SaaS and AI platform workloads.
- Improve platform reliability, scalability, and operational efficiency through automation and engineering best practices.
- Contribute to architecture decisions supporting 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 using AI and modern platform tooling.
## Required Qualifications
- **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 experience 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—including **unit, integration, regression, and end-to-end testing**—into deployment workflows.
- Strong troubleshooting, automation, and systems-thinking skills.
- Excellent written and verbal communication skills.
## Preferred Qualifications
- 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.
## Skills & Competencies
- **DevOps & Platform Engineering:** Production infrastructure, platform engineering, automation, reliability, and operational excellence.
- **AWS:** Cloud infrastructure, production workloads, infrastructure deployment, and platform operations.
- **CI/CD:** Azure DevOps, YAML pipelines, GitHub Enterprise, GitHub Actions, pipeline-as-code, deployment workflows, and quality gates.
- **Infrastructure as Code:** Terraform and AWS CDK.
- **DevSecOps:** SAST, DAST, vulnerability remediation, security policies, secrets management, IAM, and least-privilege design.
- **Testing & Quality:** Unit, integration, regression, and end-to-end testing within deployment workflows.
- **Observability:** Observability integration and platforms such as Datadog.
- **AI Infrastructure:** AI workloads, model integrations, agent platforms, model-serving environments, vector databases, and AI-assisted engineering.
- **Automation:** Automation-first thinking and identification of opportunities to eliminate repetitive operational work.
- **Troubleshooting:** Complex infrastructure problem-solving and systems thinking.
- **Architecture:** Contributing to scalable, reliable, secure platform architecture and long-term technical strategy.
- **Communication:** Clear written and verbal communication across technical teams and stakeholders.
- **Ownership:** Proactively identifying risks, driving solutions, and balancing delivery speed with operational discipline.
## Education & Experience
**Education**
- No specific education or degree requirement is stated in the original job description.
**Experience**
- **5+ years** in DevOps, SRE, Platform Engineering, or related infrastructure roles.
- Deep production AWS experience.
- Enterprise-scale GitHub Enterprise and GitHub Actions experience.
- Hands-on Terraform and/or AWS CDK experience.
- Azure DevOps YAML pipeline experience.
- Experience with cloud security, CI/CD security tooling, and automated testing as described above.
## Work Arrangement & Schedule
- **Work arrangement:** Primarily remote.
- **Location:** United States.
- **Listed job location:** Arvada, CO, US (Remote).
- **Eligible remote 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.
- **Travel:** Occasional travel for team collaboration, training, and company events.
- **Employment type:** Not explicitly stated in the original job description.
- No specific weekly hours or weekend requirements are stated.
## Compensation & Benefits
- **Compensation:** Not specified in the original job description.
**Benefits include:**
- Medical coverage.
- Dental coverage.
- Vision coverage.
- **401(k) with company match.**
- Paid time off.
- Paid holidays.
- Wellness programs.
- Employee assistance program.
## Compliance / Additional Information
Foley is a SaaS company focused on helping safety-sensitive industries—including **transportation, construction, distribution, and utility businesses**—hire, stay compliant, and manage risk.
Foley is an **Equal Opportunity Employer** committed to diversity and inclusion. All qualified applicants receive consideration without regard to legally protected characteristics.
Reasonable accommodations are available during the application and interview process.
Employment with Foley is **at-will**, and nothing in the job posting or future communications should be construed as a contract of employment.
Massachusetts applicants are subject to applicable Massachusetts restrictions concerning lie detector tests as described in the original posting.