DevSecOps Security Engineer

CNC SOFTWARE LLC • Remote - USA, US,

11d • Onsite

About The Position

The DevSecOps Security Engineer is responsible for securing and governing Mastercam's cloud-native application platforms, AI-enabled solutions, and supporting infrastructure. This role integrates security throughout the software development lifecycle, including CI/CD pipelines, Kubernetes environments, identity and access management systems, cloud services, and AI workloads. Working closely with Software Engineering, Platform Engineering, Infrastructure, and IT Operations teams, the DevSecOps Security Engineer designs, implements, and maintains security controls that protect applications, infrastructure, data, and AI services while supporting the efficient delivery of business solutions. The role helps establish security standards, improve risk management practices, and promote secure-by-design principles across development and operational processes. This position requires expertise in cloud-native technologies, Kubernetes, container security, CI/CD environments, and modern application security practices, along with the ability to contribute to emerging AI and platform security initiatives. The role serves as a key technical resource in advancing the organization's security posture while enabling innovation and operational scalability.

Requirements

• Bachelor's Degree in Cybersecurity, Information Technology, Computer Science, Information Systems, or related field required; equivalent combinations of education, military service, and relevant professional experience will also be considered.
• 4 - 5 years of experience in Security Engineering, DevSecOps, Cloud Security, DevOps, or Platform Engineering.
• 1+ year of hands-on experience supporting Kubernetes or containerized application environments.
• Experience securing cloud-native applications and services.
• Experience implementing vulnerability management and application security programs.
• Experience working with software development teams and CI/CD pipelines.
• Experience supporting cloud environments such as AWS, Azure, or Google Cloud.
• Kubernetes architecture
• Pods, Deployments, Services, and Ingresses
• RBAC
• Network Policies
• Container security
• Workload isolation
• Cluster security fundamentals
• Docker
• Container image security
• Image scanning
• Vulnerability remediation
• Secure image lifecycle management
• CI/CD pipelines
• Source code management platforms
• Git workflows
• Automation and scripting
• SAST
• DAST
• Dependency scanning
• Secret scanning
• Infrastructure-as-Code security
• OAuth2
• OpenID Connect
• SAML
• MFA
• Role-Based Access Control
• Vulnerability management
• Threat detection
• Security monitoring
• Incident response support
• Risk assessments
• Python
• Bash
• PowerShell

Nice To Haves

• Istio
• FluxCD
• APISIX
• OpenTelemetry
• Grafana
• Keycloak
• OpenBao
• HashiCorp Vault
• Azure Entra ID
• AWS IAM
• PostgreSQL
• RabbitMQ
• Qdrant
• Amazon Bedrock
• Generative AI applications
• Retrieval Augmented Generation (RAG)
• Vector databases
• LLM Security
• OWASP Top 10
• OWASP API Security Top 10
• OWASP Top 10 for LLM Applications
• NIST Cybersecurity Framework
• CIS Benchmarks
• Zero Trust Architecture
• Secure Software Development Lifecycle (SSDLC)
• Security+
• Certified Kubernetes Administrator (CKA)
• Certified Kubernetes Security Specialist (CKS)
• AWS Certified Security Specialty
• CISSP
• CCSP
• GIAC Certifications

Responsibilities

• Secure Kubernetes-based platforms and containerized workloads.
• Implement and maintain Kubernetes security controls including RBAC, Network Policies, Pod Security Standards, and namespace segmentation.
• Perform security reviews of platform architecture and application deployments.
• Develop infrastructure hardening standards and security baselines.
• Integrate security controls into CI/CD pipelines.
• Implement automated vulnerability scanning, code analysis, and compliance checks.
• Establish secure software supply chain processes.
• Partner with development teams to remediate vulnerabilities and improve secure coding practices.
• Develop and maintain security guardrails within GitOps workflows.
• Secure authentication and authorization systems.
• Implement least-privilege access controls across applications and infrastructure.
• Support identity federation, Single Sign-On (SSO), OAuth2, OpenID Connect, and Multi-Factor Authentication (MFA).
• Review systems for access governance and privileged access risks.
• Implement secure management of secrets, certificates, encryption keys, and service credentials.
• Support automated secret rotation and certificate lifecycle management.
• Ensure secure application integration with centralized secrets management platforms.
• Secure API gateways and service-to-service communications.
• Review API implementations against OWASP API Security standards.
• Implement authentication, authorization, rate limiting, and API threat protection controls.
• Support Zero Trust networking initiatives.
• Create dashboards and alerts for security events.
• Develop security metrics and monitoring capabilities.
• Collaborate with operations teams during security investigations and incident response activities.
• Analyze platform telemetry and audit logs to identify threats and control gaps.
• Support security reviews for AI and machine learning workloads.
• Assist with implementing controls to protect against prompt injection, sensitive data exposure, and model misuse.
• Participate in AI governance and risk assessment activities.
• Evaluate emerging risks associated with Large Language Models (LLMs), vector databases, and AI platforms.

Benefits

• Equal employment opportunities to all employees and employment applicants without regard to race, color, religion, sex, or national origin or any other classification protected by applicable local or state laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level