DevOps ArchitectOpenkyber • CT, United States

DevOps Architect

Openkyber • CT, United States

1 day ago

Job type

Temporary

Quick Apply

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

Submit Resumes To : 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.

Key Responsibilities

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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