Senior Principal Consultant- Cloud Architect AWS - Bengaluru, India - Genpact

Description

Genpact (


NYSE:
G) is a global professional services and solutions firm delivering outcomes that shape the future.

Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients.

Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Senior Principal Consultant, Cloud Architect- AWSTo succeed in this role, you should know how to examine new data system requirements and implement migration models.

The ideal candidate will also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you.

As part of our team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

Responsibilities

• Collaborate with stakeholders to understand business goals and design cloud strategies to achieve them
• Create and maintain cloud architecture blueprints that ensure scalability, reliability, and performance
• Select appropriate services and components to build cloud solutions

Deployment and Implementation:
Configure and deploy cloud infrastructure, services, and applications

• Implement security best practices and compliance requirements.

Optimization and Cost Management:
Continuously optimize cloud resources for cost-efficiency while maintaining performance

• Monitor resource usage and recommend cost-saving strategies

Disaster Recovery and Redundancy:
Develop disaster recovery and business continuity plans in the cloud environment. Implement redundancy and failover mechanisms.

• Work with Agile and DevOps techniques and implementation approaches in the delivery
• Design and implement effective database solutions and models to store and retrieve data
• Work closely with IT security to monitor the company's cloud privacy
• Regularly evaluate cloud applications, hardware, and software
• Identify the top cloud architecture solutions to successfully meet the strategic needs of the companyQualifications we seek in youMinimum Qualifications / Skills
• Bachelor's degree in computer science engineering, information technology or BSc

Certifications:
Preferred certifications include AWS Certified Solutions Architect,

Microsoft Certified:
Azure Solutions Architect, Google Cloud Professional Cloud Architect, or other relevant cloud certifications.

• Expert knowledge of major cloud platforms such as AWS, Azure, and Google Cloud.
• Strong understanding of cloud computing principles, including IaaS, PaaS, and SaaS.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Proficiency in infrastructure as code (IaC) tools such as Terraform or CloudFormation.
• Proven experience in designing and implementing complex, scalable, and highly available cloud architectures.
• Ability to evaluate business requirements and translate them into technical cloud solutions.
• Thorough understanding of cloud security best practices and compliance standards.
• Experience with identity and access management, encryption, and security auditing.

Networking:
Strong knowledge of cloud networking, including virtual networks, VPNs, and load balancers.

Scripting and Automation:
Proficiency in scripting languages such as Python, and experience with automation tools like Ansible or Puppet.
Preferred Qualifications/ Skills

Knowledge of DevOps Practices:
Experience with DevOps tools and practices, including continuous integration and continuous delivery (CI/CD) pipelines.

• Migration experience of solutions / services from one cloud platform to another.

Big Data and Analytics:
Familiarity with big data solutions such as Hadoop, Spark, and data analytics tools in the cloud.

Machine Learning and AI:
Understanding of machine learning and artificial intelligence solutions on the cloud.

Multi-Cloud Experience:
Experience with multiple cloud platforms and the ability to design solutions that span different providers.

Serverless Computing:
Knowledge of serverless technologies and their applications in cloud architectures.

Soft Skills:
Excellent communication, problem-solving, and leadership skills, as well as the ability to work in a team and interact with non-technical stakeholder