Job Opportunities API

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. WHAT YOU'LL DO 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. WHO YOU ARE - 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. YOU MIGHT THRIVE IN THIS ROLE IF… - You enjoy solving complex infrastructure problems and improving engineering systems at scale. - You naturally look for opportunities to automate manual processes. -