DevSecOps Specialist: Build Secure SDLC & AI Pipelines

Tech Mahindra; Kampung Malaysia Tambahan; On-site; MYR 90,000 - 150,000; Full time

Job summary

Tech Mahindra in Kuala Lumpur is seeking a DevSecOps Specialist with deep expertise in application and infrastructure security, secure software practices, and security automation. The role emphasizes Python and Linux shell scripting and hands-on CI/CD security integration.

You will drive secure engineering across cloud-native and AI-enabled environments, collaborate with development, operations, and security teams, and continuously improve security controls within Azure DevOps pipelines.

Qualifications

• Extensive experience in DevSecOps, app security, or infrastructure security.
• Strong Python and Linux shell scripting skills.
• Hands-on experience with SAST and DAST testing tools.

Responsibilities

• Design, implement, and enhance DevSecOps practices across software development and deployment pipelines.
• Integrate and manage security testing tools, including SAST, DAST, dependency scanning, and container security solutions.
• Develop and maintain security automation scripts using Python and Linux Shell Scripting.
• Perform application and infrastructure security assessments and drive remediation efforts.
• Collaborate with development, operations, and security teams to embed security controls within the SDLC.
• Implement and manage security controls within Azure DevOps CI/CD pipelines.
• Support the secure adoption of AI/ML solutions through AI security assessments, governance, and risk management practices.
• Develop and maintain security standards, policies, and best practices for cloud, DevOps, and AI-enabled environments.
• Monitor emerging threats and recommend appropriate security controls and mitigations.

Skills

DevSecOps

Application Security

Infrastructure Security

Tools

SAST

DAST

Job description

Tech Mahindra in Kuala Lumpur is seeking a DevSecOps Specialist with deep expertise in application and infrastructure security, secure software practices, and security automation. The role emphasizes Python and Linux shell scripting and hands-on CI/CD security integration.

You will drive secure engineering across cloud-native and AI-enabled environments, collaborate with development, operations, and security teams, and continuously improve security controls within Azure DevOps pipelines.