FactSet is hiring Cloud Engineers in Hyderabad to help accelerate large-scale cloud transformation initiatives across AWS and Google Cloud Platform (GCP). This opportunity is ideal for cloud professionals passionate about Cloud Architecture, Infrastructure as Code (IaC), DevOps Automation, Kubernetes, Platform Engineering, Site Reliability Engineering (SRE), Cloud Security, Cloud Networking, Disaster Recovery, High Availability Systems, and Generative AI Infrastructure.

If you want to work with enterprise-scale cloud platforms supporting millions of financial transactions, data analytics workloads, AI-powered applications, and next-generation developer platforms, this role offers outstanding career growth and exposure.

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About FactSet

FactSet is a leading global financial technology company delivering financial data, analytics, AI-driven insights, and enterprise software solutions to more than 200,000 investment professionals worldwide.

As an S&P 500 company, FactSet powers investment banks, hedge funds, wealth management firms, private equity organizations, asset managers, and financial institutions through advanced cloud technologies, big data platforms, artificial intelligence solutions, and scalable enterprise infrastructure.

Cloud technologies are a strategic pillar of FactSet’s Digital Transformation, Mergers & Acquisitions (M&A), Enterprise Modernization, Developer Platform, and Generative AI initiatives.

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Role Overview

As a Cloud Engineer, you will help design, build, automate, secure, optimize, and scale enterprise cloud infrastructure across AWS and GCP environments.

You will collaborate with Cloud Architects, Infrastructure Engineers, Security Teams, Platform Engineers, DevOps Specialists, and Software Development Teams to deliver highly available, secure, cost-optimized, cloud-native solutions.

The role combines Cloud Engineering, DevOps Engineering, Infrastructure Automation, Platform Engineering, Cloud Security, and AI Infrastructure enablement.

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Key Responsibilities

Cloud Platform Engineering

- Support enterprise cloud transformation programs

- Design and deploy cloud-native infrastructure solutions

- Improve cloud governance, automation, and operational excellence

- Enable engineering teams to consume cloud services efficiently

- Build reusable cloud infrastructure frameworks

DevOps & Infrastructure Automation

- Implement Infrastructure as Code using Terraform, CloudFormation, and Ansible

- Automate provisioning, deployment, monitoring, and operational workflows

- Build CI/CD pipelines and automated release management processes

- Improve developer productivity through platform automation

Cloud Migration & Digital Transformation

- Accelerate migration of applications to AWS and GCP

- Modernize legacy workloads into cloud-native architectures

- Support containerized and serverless deployments

- Optimize cloud adoption across engineering teams

Cloud Security & Compliance

- Collaborate with security teams to implement cloud security best practices

- Ensure governance, compliance, and policy enforcement

- Support secure infrastructure design and implementation

High Availability & Disaster Recovery

- Design and implement HA architectures

- Develop disaster recovery strategies and automation

- Improve system resilience and business continuity capabilities

- Support mission-critical cloud workloads

Cloud Cost Optimization

- Analyze cloud consumption patterns

- Optimize infrastructure spending

- Improve resource utilization

- Implement FinOps best practices

Operational Support

- Participate in cloud operations and on-call support

- Troubleshoot production issues

- Improve platform reliability and observability

- Support global infrastructure environments

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Required Qualifications

Education

- Bachelor's Degree in Computer Science

- Information Technology

- Software Engineering

- Computer Engineering

- Related Technical Discipline

Experience

- 3+ years of public cloud engineering experience

- Experience working in enterprise-scale environments

- Experience collaborating with cross-functional technology teams

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Technical Skills Required

Cloud Platforms

- Amazon Web Services (AWS)

- Google Cloud Platform (GCP)

Infrastructure as Code (IaC)

- Terraform

- AWS CloudFormation

- Ansible

Programming & Automation

- Python

- Golang

Containerization & Orchestration

- Docker

- Amazon ECS

- Amazon EKS

- Kubernetes

AWS Services

- EC2

- Auto Scaling Groups (ASG)

- AWS Lambda

- Serverless Computing

Cloud Networking

- Virtual Private Cloud (VPC)

- Transit Gateway (TGW)

- AWS Direct Connect

- Application Load Balancer (ALB)

- Network Load Balancer (NLB)

- AWS PrivateLink

DevOps & Platform Engineering

- Infrastructure Automation

- CI/CD Pipelines

- Release Automation

- Cloud Operations

- Platform Engineering

Emerging Technologies

- Generative AI

- AI/ML Infrastructure

- AI-Powered Cloud Services

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Preferred Skills

Candidates with experience in the following areas will have a competitive advantage:

- Site Reliability Engineering (SRE)

- Cloud Security Engineering

- Kubernetes Administration

- FinOps

- Platform Engineering

- Enterprise Architecture

- Multi-Cloud Infrastructure

- Service Mesh Technologies

- GitOps

- Observability Platforms

- AI Infrastructure Engineering

- MLOps

- Cloud Governance

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Why Join FactSet?

Work on Enterprise-Scale Cloud Infrastructure

Support cloud environments powering one of the world's leading financial technology platforms.

Exposure to Advanced Cloud Technologies

Gain hands-on experience with:

- AWS Enterprise Services

- Google Cloud Platform

- Kubernetes

- Terraform

- Cloud Security

- Platform Engineering

- AI Infrastructure

Generative AI Opportunities

Work on infrastructure supporting:

- Enterprise AI Platforms

- Machine Learning Workloads

- Generative AI Applications

- Data Analytics Platforms

Career Development

Access structured learning programs, certifications, mentorship opportunities, and internal mobility programs.

Global Engineering Environment

Collaborate with world-class cloud architects, software engineers, security specialists, and infrastructure teams across multiple regions.

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Career Growth Opportunities

This Cloud Engineer position can lead to roles such as:

- Senior Cloud Engineer

- Cloud Architect

- DevOps Engineer

- Site Reliability Engineer (SRE)

- Platform Engineer

- Infrastructure Architect

- Kubernetes Engineer

- Cloud Security Engineer

- Solutions Architect

- Principal Cloud Architect

- AI Infrastructure Engineer

- Engineering Manager

Cloud Engineering, Platform Engineering, Kubernetes Administration, Infrastructure Automation, and AI Infrastructure remain among the highest-paying technology career paths globally.

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Resume Tips for FactSet Cloud Engineer Applications

To improve your chances of selection:

- Highlight AWS and GCP project experience

- Showcase Terraform Infrastructure as Code implementations

- Mention Kubernetes and Docker deployments

- Include CI/CD automation achievements

- Add cloud migration project experience

- Demonstrate cost optimization initiatives

- Mention cloud networking knowledge

- Include Python or Golang automation projects

- Quantify infrastructure improvements using metrics

- Add AWS or GCP certifications if available

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Frequently Asked Cloud Engineer Interview Questions

1. What is Infrastructure as Code (IaC)?

Infrastructure as Code allows cloud resources to be provisioned and managed through code using tools like Terraform and CloudFormation.

2. What is the difference between ECS and EKS?

ECS is AWS's native container orchestration service, while EKS is Amazon’s managed Kubernetes platform.

3. What is a VPC?

A Virtual Private Cloud (VPC) is a logically isolated network environment inside AWS where resources can securely operate.

4. What is Terraform?

Terraform is an Infrastructure as Code tool used to automate provisioning and management of cloud infrastructure.

5. What is High Availability (HA)?

High Availability ensures systems remain operational even when hardware, software, or network failures occur.

6. What is Disaster Recovery (DR)?

Disaster Recovery focuses on restoring systems and services after major outages or catastrophic failures.

7. How is Generative AI used in Cloud Engineering?

Generative AI helps automate infrastructure provisioning, incident response, code generation, operational monitoring, and cloud optimization workflows.

8. What is AWS PrivateLink?

AWS PrivateLink enables secure private connectivity between services without exposing traffic to the public internet.

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Apply now and build your career with FactSet in Cloud Engineering, AWS, GCP, Terraform, Kubernetes, Platform Engineering, DevOps Automation, Cloud Security, and Generative AI Infrastructure.