Lead Engineer - DevOps
Air India Careers Gurgaon, Haryana, India
Airlines and Aviation · 10,001+ employees
About the role
The Lead Engineer will implement and maintain secure, scalable cloud infrastructure by embedding DevSecOps practices across the software development lifecycle. They will also manage Kubernetes services on Azure while ensuring robust security, compliance, and performance across all cloud environments.
What they look for
Requirements
Candidates must have a Bachelor's or Master's degree in Computer Science or a related field. A minimum of 5 years of experience in cloud or DevSecOps roles with specific expertise in Kubernetes and Terraform is required.
Full description
- Job Purpose
Implement, and maintain secure, scalable, and automated cloud infrastructure by embedding DevSecOps practices across the software development lifecycle (SDLC). Ensure robust security, compliance, and performance across cloud environments. Deploy and monitor Kubernetes services on Azure using Azure DevOps and industry-standard DevOps tooling in a secure and governed manner.
- Key Accountabilities
Infrastructure & Automation
- Build, and maintain secure, scalable infrastructure using Infrastructure as Code (IaC) with Terraform.
- Automate deployment, configuration, and management of infrastructure and services.
- Monitor and optimize infrastructure performance, reliability, and cost efficiency.
- Implement and manage CI/CD pipelines with integrated security controls.
- Deploy and manage Kubernetes workloads using Helm charts for standardized, repeatable application delivery.
Security & Compliance
- Integrate security into all stages of the IaC and CI/CD pipelines.
- Conduct regular security assessments, CSPM, audits, and threat modelling.
- Monitor cloud environments for security incidents and lead incident response.
- Enforce security policies aligned with frameworks like CIS, NIST, and ISO 27001.
- Utilize cloud-native security tools (e.g., AWS Security Hub, Azure Defender).
Collaboration & Documentation
- Work closely with development, QA, and operations teams to ensure secure and seamless integration.
- Document infrastructure designs, configurations, and processes.
Learning and Development
- Continuously improve technical skills in cloud platforms, security tools, and automation.
- Participate in internal knowledge-sharing sessions and contribute to team capability building.
Any other additional responsibility could be assigned to the role holder from time to time as a standalone project or regular work. The same would be suitably represented in the Primary responsibilities and agreed between the incumbent, reporting officer and HR.
- Skills Required for the role
Must Have
Good To Have
- Strong expertise in Terraform and infrastructure automation.
- Proficiency in at least one major cloud platform (Azure, AWS, or GCP); multi-cloud experience is a plus.
- Hands-on experience with Azure Kubernetes Service (AKS) — deployment, scaling, upgrades, and cluster management.
- Solid understanding of networking (VPCs, VPNs, subnets, firewalls).
- Experience with monitoring/logging tools (e.g., Grafana, App Dynamics, CloudWatch).
- Strong scripting skills (Python, Bash, PowerShell).
- Experience with IAM, encryption, and secure storage.
- Familiarity with compliance and security frameworks (CIS, NIST, ISO 27001).
- Experience with tools like Wiz, Microsoft Defender for Cloud.
- Exposure to Agentic AI and platform engineering projects.
- Airline/Aviation industry experience.
Technical knowledge and understanding of Platform development.
- Agile mindset and continuous improvement
- Attention to detail and accountability
D. Educational and Experience Requirements
Minimum Education Requirements
- Bachelor's/Master’s in Computer Science, IT, or related field
Minimum Requirement
Desired
Experience
- 5+ years in cloud or DevSecOps roles with Kubernetes, Terraform
- Proven experience in Platform Engineering projects.
- Platform Engineering – Multi cloud (Azure/AWS/GCP)
- Experience with DevOps Tools, Wiz, Microsoft Defender for Cloud, Airline/Aviation domain
- Agentic AI
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