AI DevSecOps Engineer

INTEVRIEW WILL BE ONSITE - PLEASE ONLY SHARE LOCAL CANDIDATES)

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Greetings We are seeking a DevSecOps Engineer (Google Vertex AI & IBM WatsonX Orchestrate) local to Hartford CT.



Client is seeking a DevSecOps Engineer to lead the secure development deployment and operations of cloud-native applications and AI-driven platforms. This role is critical to embedding security into every phase of the software development lifecycle ensuring resilient scalable and compliant systems across digital health solutions.

You will collaborate with development infrastructure and security teams to automate security controls integrate CI/CD pipelines and enforce best practices in cloud security containerization and vulnerability management. Your work will directly support the delivery of secure high-performing applications that serve millions of members and providers.

Key Responsibilities

• Secure CI/CD Pipeline Development
  Design and implement secure CI/CD workflows using tools like GitHub Actions Jenkins or GitLab CI integrating automated security scans code quality checks and compliance gates.
• Cloud Security Integration
  Embed security controls into cloud-native applications deployed on Google Cloud Platform (GCP) including IAM policies VPC Service Controls workload identity and secure service-to-service communication.
• AI and Cognitive Services Security
  Integrate and secure AI-driven platforms using Google Vertex AI and IBM watsonx Orchestrate ensuring model governance data privacy and compliance with healthcare regulations.
• Infrastructure as Code (IaC)
  Develop and maintain IaC templates using Terraform or Google Cloud Deployment Manager ensuring secure configurations and automated provisioning of cloud resources.
• Container Security
  Implement container hardening image scanning and runtime protection using tools like GKE (Google Kubernetes Engine) Docker and Kubernetes-native security solutions (e.g. GKE Autopilot PodSecurityPolicies Kyverno).
• Vulnerability Management
  Integrate SAST DAST and dependency scanning tools (e.g. SonarQube Snyk OWASP ZAP) into development workflows triaging and remediating findings in collaboration with engineering teams.
• Security Monitoring and Incident Response
  Collaborate with SOC and security teams to define logging standards integrate with SIEM platforms (e.g. Google Chronicle IBM QRadar) and support incident detection and response workflows.
• DevSecOps Governance and Automation
  Define and enforce security policies through automated guardrails policy-as-code and continuous compliance monitoring.
• Cross-Functional Collaboration
  Partner with product architecture and platform teams to ensure security is embedded in design decisions threat modeling and risk assessments.
• Continuous Improvement and Innovation
  Stay current with emerging DevSecOps tools cloud security trends and regulatory requirements (e.g. HIPAA HITRUST) driving innovation and maturity in secure software delivery.

Required Qualifications

• 3 years of experience in DevOps Site Reliability Engineering or Cloud Engineering roles
• 2 years of hands-on experience implementing security in CI/CD pipelines
• 2 years of experience with cloud platforms (preferably GCP AWS or Azure)
• 2 years of experience with container orchestration and security (Kubernetes Docker)
• 1 years of experience with Infrastructure as Code (Terraform Helm etc.)
• 1 years of experience with vulnerability scanning and remediation workflows
• 1 years of experience with Google Cloud security services (e.g. IAM VPC Service Controls Cloud Armor)
• 1 years of experience integrating and securing Google Vertex AI and IBM watsonx Orchestrate in enterprise applications
• Familiarity with Agile development practices and DevSecOps principles

Preferred Qualifications

• Proficiency in scripting languages (Python Bash or Go)
• Experience with policy-as-code tools (e.g. Open Policy Agent HashiCorp Sentinel)
• Knowledge of compliance frameworks (HIPAA SOC 2 HITRUST)
• Experience with secrets management tools (Vault AWS Secrets Manager etc.)

Education
Bachelors degree in Computer Science Cybersecurity Engineering or related field or equivalent experience required.