Note: The job is a remote job and is open to candidates in USA. Foley is seeking a Senior DevOps Engineer to help modernize and scale the infrastructure that powers both their core compliance SaaS platform and next generation AI-enabled products. This role involves evolving the Azure DevOps ecosystem, building CI/CD foundations, advancing DevSecOps practices, and strengthening cloud infrastructure through Infrastructure as Code.
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
Skills
- 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
- 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
Benefits
- Medical, dental, and vision coverage
- A 401(k) with company match
- Paid time off and holidays
- Wellness programs
- An employee assistance program
Company Overview
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