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Lead Cloud Infrastructure Engineer - 32366

Full Time
On-Site

Hyderabad, Telangana, India

Job Category: Research & Development

Your Opportunity

Excited to join the team that is building next-generation enterprise cloud products? You are in the right place. Our group, Metadata Foundation R&D is on an ambitious mission to discover, analyze and map all data and information flows in the enterprise; providing intelligence that allows customers to unlock the power of data. It empowers customers to find, classify, catalog and analyze data assets and data flows across systems; understand and address data security risks; govern data quality and data flows in the enterprise. The group is responsible for providing a unified, highly scalable and extensible metadata cataloging and visualization foundation for our fast-growing Data Catalog, Data Security and Data Governance applications and fuelling intelligence for our broader Enterprise Cloud Data Management offerings in Cloud.

We’re currently looking for a Senior Cloud Infrastructure Engineer with full stack development experience in building enterprise cloud product with hyper-scale to join our team in Bangalore to be part of our cloud journey.

 Job Summary

 As a Senior Cloud Infrastructure Engineer, you will work with a world-class Engineering team to design and build next-generation microservices-based Enterprise Cloud platform using latest cutting-edge cloud technologies such as Amazon AWS. You will be responsible for architecture, design and building our next-generation cloud platform and infrastructure. In the role of Lead Cloud Infrastructure Engineer, you must be able to work in and adapt to a fluid, fast-paced environment. Working as a Lead Cloud Infrastructure Engineer, you must have strong communication, collaboration and technical skills.

Technology You’ll Use not limited to the following:

  • Cloud native technologies like Kubernetes, Helm, Istio
  • CI/CD tools like Jenkins, Spinnaker
  • Docker and cloud platforms (AWS, Azure), cloud log services (ELK), cloud application monitoring tools (Elastic APM, AppDynamics)
  • Perforce and Git version control systems
  • Web client technologies such as React and Java
  • Unit testing, Integration, and end to end Karate, Cypress and Selenium

 Day-to-day Duties? Here's What You'll Be Doing

  • Hands on experience across entire SDLC, CI/CD tools with automation , configuration & release management, deployments, and troubleshooting in cloud environments
  • Establish software architecture patterns with High Availability, scale, security, monitoring, and configuration of cloud platform services.
  • Data centre agnostic architecture and design to support AWS, GCP and Azure etc.
  • Building infrastructure as code and pipeline as a code
  • Work with development teams across multiple organizations to drive automation, establish software standards, service modularity, testing standards, and deployment/management of microservices.
  • Ensuring that software builds happen predictably, consistently and reliably
  • Support and improve our tools, infrastructure, and processes that support rapid and reliable delivery of high-quality software to our production service.
  • Write effective documentation

Key Essentials

  • Significant experience with CI/CD tools like Jenkins, Spinnaker used for automated deployment, scaling, and operations of application containers such as Kubernetes
  • Experience with public clouds such as AWS/Azure/GCP(Any)
  • Strong scripting/programming knowledge such as Python/Shell/ Groovy(Any)
  • Knowledge of Infrastructure provisioning using Terraform and configuration management using Chef/Ansible
  • Strong understanding of source code version control systems - Perforce, GitHub and code branching/merging strategies
  • Expertise with build package and release tools such as npm and Gradle
  • Knowledge of Linuxbasic commands
  • Ability to work independently with little direct supervision

Education / Experience

  • 6+ years’ experience in software engineering with Cloud Infrastructure experience
  • Bachelor’s/Master’s Degree in Computer Science or equivalent experience

 

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