FactSet

FactSet is Hiring Cloud Engineer

FactSet
Hyderabad, Telangana, India
Posted July 17, 2026| Expires: October 31, 2026
full-timeEntry LevelDevOpsFeatured

FactSet is a global financial technology company that provides trusted financial data, analytics, AI-powered insights, and enterprise software solutions to more than 200,000 investment professionals across the world.

As an S&P 500 company with over 45 years of innovation, FactSet empowers investment banks, asset managers, wealth management firms, hedge funds, private equity firms, and financial institutions with next-generation cloud platforms, data analytics, artificial intelligence, and enterprise technology solutions.

The Platform Infrastructure Engineering team is responsible for driving cloud adoption, digital transformation, cloud-native architecture, and enterprise platform modernization across the organization.

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Job Overview

FactSet is hiring a Cloud Engineer to design, build, and optimize secure, scalable, and highly available cloud platforms supporting enterprise applications and financial technology solutions.

The ideal candidate should have strong experience with AWS, Google Cloud Platform (GCP), Terraform, Python, Docker, Kubernetes, Infrastructure as Code (IaC), Cloud Networking, DevOps, and Cloud Automation while contributing to enterprise cloud migration, platform engineering, security, and digital transformation initiatives.

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Key Responsibilities

- Design, build, and support enterprise cloud infrastructure.

- Contribute to large-scale cloud transformation and migration initiatives.

- Develop cloud-native services and reusable platform capabilities.

- Implement Infrastructure as Code (IaC) using Terraform and CloudFormation.

- Automate cloud deployments and operational workflows.

- Build scalable cloud infrastructure across AWS and Google Cloud Platform.

- Collaborate with engineering teams to accelerate cloud adoption.

- Implement DevOps practices, CI/CD pipelines, and release automation.

- Ensure cloud infrastructure follows security and governance standards.

- Design highly available (HA) and disaster recovery (DR) solutions.

- Optimize cloud resource utilization and infrastructure costs.

- Deploy and manage Docker containers and Kubernetes platforms.

- Support serverless architectures using AWS Lambda.

- Maintain cloud networking components including VPC, Transit Gateway, Direct Connect, ALB/NLB, and PrivateLink.

- Participate in on-call production support and incident management.

- Drive innovation in Cloud Engineering, Platform Engineering, and Infrastructure Automation.

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Required Skills

- Amazon Web Services (AWS)

- Google Cloud Platform (GCP)

- Cloud Computing

- Cloud Infrastructure

- Terraform

- CloudFormation

- Python

- GoLang

- Docker

- Kubernetes

- Amazon EC2

- Auto Scaling Groups (ASG)

- AWS Lambda

- Amazon ECS

- Amazon EKS

- Infrastructure as Code (IaC)

- DevOps

- CI/CD

- Git

- Linux

- Cloud Networking

- Virtual Private Cloud (VPC)

- Transit Gateway (TGW)

- Direct Connect

- Application Load Balancer (ALB)

- Network Load Balancer (NLB)

- AWS PrivateLink

- High Availability (HA)

- Disaster Recovery (DR)

- Cloud Security

- Monitoring & Logging

- Automation

- Platform Engineering

- Digital Transformation

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Preferred Skills

- Artificial Intelligence (AI)

- Generative AI

- AI/ML Technologies

- Ansible

- Serverless Computing

- Distributed Systems

- Cloud Cost Optimization

- Enterprise Cloud Architecture

- Cloud Governance

- Scripting & Automation

- Performance Engineering

- FinTech Domain Experience

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Eligibility Criteria

- Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.

- 3+ years of hands-on experience with AWS and/or Google Cloud Platform.

- Strong experience building enterprise cloud infrastructure.

- Hands-on knowledge of Terraform, CloudFormation, Python, GoLang, or Ansible.

- Experience with Docker, Kubernetes, ECS, EKS, EC2, Lambda, and cloud-native technologies.

- Strong understanding of cloud networking concepts.

- Excellent analytical, communication, and troubleshooting skills.

- Passion for learning emerging cloud technologies and solving complex engineering challenges.

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Why Join FactSet

- Join a globally recognized S&P 500 Financial Technology company.

- Work on enterprise-scale cloud platforms serving over 200,000 financial professionals.

- Build modern cloud-native infrastructure using AWS and GCP.

- Collaborate with world-class Cloud Architects and Platform Engineers.

- Gain exposure to Artificial Intelligence, Generative AI, and Digital Transformation initiatives.

- Career development with dedicated monthly learning opportunities.

- Flexible work environment with strong work-life balance.

- Inclusive, collaborative, and innovation-driven engineering culture.

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Benefits

- Competitive Salary

- Performance-Based Compensation

- Health, Life & Disability Insurance

- Retirement Savings Plan

- Employee Stock Purchase Program (ESPP)

- Paid Time Off

- Wellness Programs

- Family Leave

- Flexible Work Arrangements

- Learning & Development Programs

- Career Growth Opportunities

- Employee Resource Groups

- Global Career Exposure

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Apply Now

Company: FactSet

Position: Cloud Engineer

Location: Hyderabad, Telangana, India

Job Type: Full-Time

Experience: 3+ Years

Job Requisition ID: R32479

Job Overview

RoleFactSet is Hiring Cloud Engineer
CompanyFactSet
Job Typefull-time
Experience LevelEntry Level
CityHyderabad
State / RegionTelangana
Postal Code500081
CountryIndia
Salary RangeINR 18,00,000 - 30,00,000 /Year

Required Skills

AWSAmazon Web ServicesGoogle Cloud Platform (GCP)Cloud ComputingCloud EngineeringInfrastructure EngineeringPlatform EngineeringDevOpsTerraformInfrastructure as Code (IaC)CloudFormationAnsiblePythonGoDockerAmazon EC2Auto Scaling Groups (ASG)AWS LambdaAmazon ECSAmazon EKSKubernetesServerlessVPCTransit Gateway (TGW)Direct ConnectApplication Load Balancer (ALB)Network Load Balancer (NLB)AWS PrivateLinkCloud NetworkingDevOps AutomationCI/CDHigh Availability (HA)Disaster Recovery (DR)Cloud SecurityCost OptimizationMonitoringLoggingAI/MLGenerative AILinuxAutomation

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