DevSecOps Architect

VMC Soft Technologies, Inc; Hyderabad; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

VMC Soft Technologies, Inc is seeking an experienced DevSecOps Technology Architect to lead the DevSecOps transformation. The role focuses on integrating AI into cloud, security, and platform engineering for enterprise-scale applications.

The ideal candidate will design secure CI/CD pipelines, drive effective governance, and collaborate with cross-functional teams. Experience in AI/ML and DevSecOps is crucial for success in this position.

Qualifications

• 8-10+ years of experience in DevSecOps.
• Experience with enterprise-scale DevSecOps Architecture implementation.
• Experience in integrating AI into engineering and security workflows.

Responsibilities

• Define and lead the DevSecOps CoE strategy and governance.
• Design AI-driven DevSecOps architectures.
• Architect secure CI/CD pipelines.
• Drive Platform Engineering initiatives.
• Collaborate with Security, Cloud, and Application teams.

Skills

DevSecOps Architecture & Strategy

CI/CD Tools: GitHub Actions, GitLab, Jenkins, Azure DevOps, Harness, ArgoCD, TeamCity

Cloud Platforms: AWS, Azure, GCP

Kubernetes (AKS/EKS/GKE) & OpenShift

Terraform, Ansible, Helm, CloudFormation

Security Tools: SAST, DAST, SCA, Container Security, Supply Chain Security

Platform Engineering & GitOps

Observability: Prometheus, Grafana, OpenTelemetry

Linux, Shell Scripting, Python, PowerShell, Groovy

AI/ML, Generative AI, LLMs, Prompt Engineering, RAG, Vector Databases

Job description

Hiring Alert – DevSecOps Technology Architect

We are looking for an experienced DevSecOps Technology Architect to join our DevSecOps Center of Excellence (CoE) and drive enterprise-wide DevSecOps transformation with a strong focus on Agentic AI, Generative AI, Cloud, Security, and Platform Engineering.

Locations: Pune / Hyderabad / Bangalore / Chennai

Experience: 8-10+ Years

Key Responsibilities

• Define and lead the DevSecOps CoE strategy, standards, governance, and operating models.
• Design and implement AI-driven DevSecOps architectures with autonomous pipeline orchestration and self-healing capabilities.
• Architect secure CI/CD pipelines integrating SAST, DAST, SCA, container security, IaC scanning, and compliance automation.
• Drive Platform Engineering initiatives using Harness, Backstage, GitOps, reusable blueprints, and golden pipelines.
• Lead enterprise adoption of Agentic AI and Gen-AI use cases including intelligent code reviews, vulnerability prioritization, incident summarization, and remediation recommendations.
• Collaborate with Security, Cloud, SRE, and Application teams to build secure, scalable, and resilient platforms.
• Define DevSecOps maturity models, KPIs, governance frameworks, and automation strategies.

Core Skills Required

• DevSecOps Architecture & Strategy
• CI/CD Tools: GitHub Actions, GitLab, Jenkins, Azure DevOps, Harness, ArgoCD, TeamCity
• Cloud Platforms: AWS, Azure, GCP
• Kubernetes (AKS/EKS/GKE) & OpenShift
• Terraform, Ansible, Helm, CloudFormation
• Security Tools: SAST, DAST, SCA, Container Security, Supply Chain Security
• Platform Engineering & GitOps
• Observability: Prometheus, Grafana, OpenTelemetry
• Linux, Shell Scripting, Python, PowerShell, Groovy
• AI/ML, Generative AI, LLMs, Prompt Engineering, RAG, Vector Databases

Preferred Experience

• Enterprise-scale DevSecOps Architecture & Factory Model implementation
• Source Code & CI/CD Migration Programs
• Monolith-to-Microservices Transformation on Cloud & Kubernetes
• Secure SDLC, Zero Trust, and Regulatory Compliance Frameworks
• Experience integrating AI/Gen-AI into Engineering and Security workflows

Certifications (Preferred)

• AWS / Azure / GCP Certifications
• Kubernetes / OpenShift Certifications
• Terraform & Red Hat Ansible Certifications
• DevOps & CI/CD Tool Certifications (Harness preferred)

If you are passionate about AI-first engineering, DevSecOps transformation, Platform Engineering, and enterprise-scale automation, we'd love to hear from you!