DevSecOps Engineer

Location: Ahmedabad

Department: Adani AI Labs

About the Role

Adani AI Labs is seeking a highly experienced Principal DevOps & Cloud Architect to lead the architecture, deployment, scalability, security, and governance of enterprise-grade AI platforms and cloud-native applications. This leadership position will play a critical role in building and managing secure multi-cloud environments across Google Cloud Platform (GCP) and Microsoft Azure while enabling the adoption of Agentic AI platforms, Generative AI solutions, and advanced MLOps capabilities across the organization.

The ideal candidate will possess deep expertise in cloud architecture, infrastructure automation, DevOps practices, AI/ML platform operations, and enterprise security frameworks.

Required Qualifications

• Bachelor's degree in computer science, Information Technology, Engineering, or a related discipline.
• Master's degree or advanced specialization in Cloud Computing, Infrastructure Engineering, Artificial Intelligence, or related domains is preferred.
• Professional cloud certifications such as:
• Google Cloud Professional Cloud Architect
• Google Cloud Professional DevOps Engineer
• Microsoft Certified: DevOps Engineer Expert
• Other relevant cloud and Kubernetes certifications

Experience

• 8-14 years of progressive experience in DevOps, Cloud Operations, Infrastructure Engineering, Site Reliability Engineering (SRE), or Platform Engineering.
• Proven experience leading cloud architecture and large-scale infrastructure transformation projects.
• Extensive experience managing enterprise-grade multi-cloud environments across GCP and Azure.
• Hands-on experience supporting AI/ML platforms, MLOps ecosystems, and Generative AI workloads in production environments.

Key Responsibilities

• Lead the architecture, deployment, and governance of scalable, highly available cloud infrastructure across GCP and Microsoft Azure.
• Define and implement enterprise-wide DevOps and CI/CD strategies to support the rapid and secure delivery of AI, machine learning, and software applications.
• Architect and manage Agentic AI tool stacks, including Gemini Enterprise and related AI platforms.
• Partner with AI researchers, data scientists, software engineers, and business stakeholders to build reliable and scalable AI infrastructure.
• Design and implement advanced monitoring, observability, alerting, and logging frameworks to ensure platform reliability and operational excellence.
• Establish and enforce Infrastructure as Code (IaC) standards and governance for enterprise-wide cloud provisioning and automation.
• Drive cloud cost optimization initiatives by improving resource utilization and architecture efficiency.
• Ensure compliance with enterprise security standards, data privacy requirements, and regulatory frameworks across all cloud environments.
• Lead platform modernization, automation, and operational transformation initiatives supporting Adani Group's digital vision.
• Mentor engineering teams and drive DevSecOps best practices across the organization.

Technical Skills

• Google Cloud Platform (GCP)
• Cloud & Infrastructure
• Microsoft Azure
• Multi-Cloud Architecture
• Cloud Security & Governance
• Network Architecture & Security
• DevOps & Automation
• CI/CD Platforms: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps
• Infrastructure as Code: Terraform, Ansible, CloudFormation
• Configuration Management & Automation
• Containerization & Orchestration
• Kubernetes
• Docker
• Microservices Architecture
• Container Security
• AI & MLOps
• Generative AI Platforms
• Gemini Enterprise
• Agentic AI Frameworks
• MLOps Architecture & Operations
• AI/ML Infrastructure Deployment

Monitoring & Observability

• Prometheus
• Grafana
• ELK Stack
• Cloud-Native Monitoring Solutions
• Application Performance Monitoring (APM)

Preferred Candidate Profile

• Strong leadership and stakeholder management capabilities.
• Ability to drive technology strategy and enterprise-wide transformation initiatives.
• Experience working with large-scale AI, analytics, and cloud engineering teams.
• Strong understanding of security, compliance, governance, and risk management in cloud environments.
• Excellent problem-solving, communication, and decision-making skills.