Job Description

AI DevSecOps Engineer (Google Vertex AI & IBM WatsonX Orchestrate) Hartford, CT 6 Months Contract

Location: Hartford, Connecticut, United States

Duration: 6 Months (Contract)

Conversion to FTE: Possible

$55 on W2

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Job Description

We are seeking an AI DevSecOps Engineer with strong experience in Google Vertex AI , IBM WatsonX Orchestrate , and secure cloud-native pipelines. This role focuses on embedding security across the entire software development lifecycle while supporting AI-driven platforms and large-scale digital applications.

You will collaborate with engineering, infrastructure, and security teams to automate security controls, harden cloud deployments, enhance CI/CD pipelines, and support enterprise-grade AI solutions.

This is a highly impactful role contributing directly to secure, scalable healthcare technology systems.

Secure CI/CD & Automation

• Design and implement secure CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
• Integrate automated code quality, security scans, and compliance gates.

Cloud Security (Google Cloud Platform Focus)

• Embed IAM, VPC Service Controls, workload identity, and secure communication into cloud-native solutions.
• Strengthen Google Cloud Platform workloads with policy and configuration hardening.

AI Platform Security

• Secure Vertex AI and IBM WatsonX Orchestrate integrations.
• Ensure model governance, data protection, and regulatory compliance.

Infrastructure as Code

• Build secure IaC templates using Terraform or Google Cloud Platform Deployment Manager .
• Automate provisioning of cloud resources with compliance in mind.

Container Security

• Implement container hardening and secure orchestration using GKE , Kubernetes , Docker .
• Use tools like PodSecurity Policies, Kyverno, and image vulnerability scanners.

Vulnerability Management

• Integrate SAST , DAST , dependency scanning using SonarQube, Snyk, OWASP ZAP.
• Triage and remediate vulnerabilities with engineering teams.

Security Monitoring & Incident Response

• Work with SOC teams to define logging, integrate SIEM tools (Google Chronicle, IBM QRadar), and support incident workflows.

Governance & Policy Automation

• Enforce security standards with policy-as-code and automated guardrails.
• Support threat modeling, risk assessments, and secure architecture decisions.

Continuous Improvement

• Stay updated on DevSecOps advancements, cloud trends, compliance (HIPAA, HITRUST), and drive innovation.

Required Qualifications

• 3+ years DevOps / SRE / Cloud Engineering experience
• 2+ years implementing security in CI/CD pipelines
• 2+ years Cloud experience (Google Cloud Platform preferred)
• 2+ years Kubernetes/Docker container security
• 1+ year Infrastructure as Code (Terraform, Helm, etc.)
• 1+ year vulnerability scanning & remediation
• 1+ year Google Cloud Platform security services (IAM, VPC SC, Cloud Armor)
• 1+ year securing Vertex AI & IBM WatsonX Orchestrate
• Familiarity with Agile and DevSecOps principles

Preferred Qualifications

• Scripting: Python, Bash, or Go
• Policy-as-code (OPA, Sentinel)
• Compliance: HIPAA, SOC 2, HITRUST
• Secrets Management: Vault, AWS Secrets Manager, etc.

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