AWS/GCP Platform Engineer

Tata Consultancy Services; Chennai District, Bengaluru, Kolkata District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Tata Consultancy Services in India is seeking a Cloud Platform Engineer to design, build, and operate core cloud infrastructure on AWS and GCP, with emphasis on compute, storage, networking, security, and identity management.

You will implement IaC using Terraform, CloudFormation, and Deployment Manager, automate provisioning with Python/Go/Bash, containerize with Docker, and orchestrate via Kubernetes (EKS/GKE); you will own reliability, monitor, and secure the platforms while collaborating

Qualifications

• Cloud platforms design, build and operate across AWS and GCP.
• IaC practices with Terraform, CloudFormation, Deployment Manager.
• Automation scripting with Python/Go/Bash for provisioning tasks.
• Containerization with Docker and orchestration with Kubernetes (EKS/GKE).
• Reliability, monitoring, alerting, and incident response ownership.
• Security best practices and compliance alignment.

Responsibilities

• Design, implement, and manage core cloud infrastructure and services on AWS and GCP, focusing on compute, storage, networking, security, and identity management.
• Develop, maintain, and optimize cloud infrastructure using IaC tools such as Terraform, CloudFormation (AWS), and Deployment Manager (GCP). Create reusable modules and blueprints to standardize deployments.
• Automate provisioning, configuration, and management of cloud resources and services; develop scripts and tools (e.g., Python, Go, Bash) to streamline operational tasks.
• Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes, EKS, GKE) for cloud-native deployments.
• Own reliability, performance, and availability; implement monitoring, alerting, and logging; participate in on-call rotations.

Skills

Cloud Platform Engineering

IaC

Automation scripting

Security awareness

SRE mindset

Documentation

CI/CD collaboration

Monitoring & logging

Tools

Terraform

CloudFormation

Deployment Manager

Docker

Kubernetes

Amazon EKS

Google Kubernetes Engine

Python

Go

Bash

Job description

Role & responsibilities

• Cloud Platform Engineering: Design, implement, and manage core cloud infrastructure and services on AWS and GCP, focusing on compute, storage, networking, security, and identity management.
• Infrastructure as Code (IaC): Develop, maintain, and optimize cloud infrastructure using IaC tools such as Terraform, CloudFormation (AWS), and Deployment Manager (GCP). Create reusable modules and blueprints to standardize deployments.
• Automation & Orchestration: Automate the provisioning, configuration, and management of cloud resources and services. Develop scripts and tools (e.g., Python, Go, Bash) to streamline operational tasks and improve efficiency.
• Containerization & Orchestration: Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes, e.g., Amazon EKS, Google Kubernetes Engine) to support cloud-native application deployments.
• Site Reliability Engineering (SRE): Embrace a "you build it, you run it" mindset. Take ownership of the reliability, performance, and availability of the cloud platforms and services you build. Implement robust monitoring, alerting, and logging solutions, and participate in on-call rotations to ensure rapid incident response and resolution.
• Security & Compliance: Implement and enforce cloud security best practices, ensuring compliance with Citi's policies, industry standards, and regulatory requirements. Configure IAM roles, network security groups, firewalls, and encryption.
• CI/CD Pipeline Integration: Collaborate with development teams to integrate cloud infrastructure provisioning and management into CI/CD pipelines, enabling automated and continuous delivery.
• Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team.