Lead Platform Engineer
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- Gurgaon, India; Hyderabad, India
- Information Technology
- 330772
Job Description
About the Role:
Grade Level (for internal use):
The Role: Lead Platform Engineer
We are seeking a Senior/Lead Platform Engineer to support our AI, Data Engineering, and Data Platform initiatives. This role will be responsible for designing, implementing, and maintaining cloud infrastructure, deployment automation, platform reliability, security controls, and operational excellence across multiple products and environments.
The ideal candidate will have strong AWS experience, infrastructure-as-code expertise, Terraform & GitHub expertise, CI/CD knowledge, and a passion for improving platform reliability, security, and operational maturity. Knowledge in Azure and Google Cloud Platform (GCP) will be considered an advantage.
Key Responsibilities
- Lead the design, architecture, implementation, and evolution of secure, scalable, highly available cloud platforms on AWS that support enterprise applications, AI, and data platform initiatives.
- Define and drive the platform engineering roadmap, standards, and best practices for cloud infrastructure, automation, reliability, and operational excellence.
- Architect and maintain Infrastructure as Code (IaC) solutions using Terraform to ensure consistent, repeatable, and scalable infrastructure provisioning.
- Lead the design, operation, and optimization of Kubernetes (Amazon EKS) platforms and containerized workloads, ensuring high availability, security, and performance.
- Drive the adoption of DevOps and Platform Engineering practices by designing and improving CI/CD pipelines, GitHub Actions workflows, deployment automation, and developer self-service capabilities.
- Establish and continuously improve platform reliability through observability, monitoring, logging, alerting, incident management, capacity planning, and performance optimization.
- Provide technical leadership for AWS platform services, including VPC, IAM, EC2, EKS, ECS, Lambda, RDS, S3, Route 53, Secrets Manager, CloudWatch, and other cloud-native technologies.
- Partner with application, AI, data engineering, and security teams to design scalable platform solutions and enable the deployment, orchestration, monitoring, and operational support of AI-powered applications, LLM services, and agentic workflows while improving developer productivity, deployment consistency, and operational efficiency.
- Lead the implementation of cloud security best practices, including identity and access management, secrets management, infrastructure hardening, vulnerability remediation, governance, and compliance controls.