Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
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Inviting applications for the role of Lead Consultant, AWS Cloud Engineer
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In this role, you will be responsible for designing, provisioning, and securing scalable cloud infrastructure to support AI/ML and Generative AI workloads. A key focus will be ensuring high availability, cost efficiency, and performance optimization of infrastructure through best practices in architecture and automation.
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Responsibilities
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Design and implement secure VPC architecture, subnets, NAT gateways, and route tables.
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Build and maintain IAC modules for repeatable infrastructure provisioning.
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Build CI/CD pipelines that support secure, auto-scalable AI deployments using GitHub Actions, AWS CodePipeline, and Lambda triggers.
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Monitor and tune infrastructure health using AWS CloudWatch, GuardDuty, and custom alerting.
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Track and optimize cloud spend using AWS Cost Explorer, Trusted Advisor, and usage dashboards.
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Deploy and manage cloud-native services including SageMaker, Lambda, ECR, API Gateway etc.
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Implement IAM policies, Secrets Manager, and KMS encryption for secure deployments.
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Enable logging and monitoring using CloudWatch and configure alerts and dashboards.
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Set up and manage CloudTrail, GuardDuty, and AWS Config for audit and security compliance.
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Assist with cost optimization strategies including usage analysis and budget alerting.
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Support multi-cloud or hybrid integration patterns (e.g., data exchange between AWS and Azure/GCP).
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Collaborate with MLOps and Data Science teams to translate ML/GenAI requirements into production-grade, resilient AWS environments.
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Maintain multi-cloud compatibility as needed (e.g., data egress readiness, common abstraction layers).
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Be engaging in the design, development and maintenance of data pipelines for various AI use cases
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Required to actively contribution to key deliverables as part of an agile development team
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Be collaborating with others to source, analyse, test and deploy data processes.
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Qualifications we seek in you!
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Minimum Qualifications
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Relevant years of hands-on AWS infrastructure experience in production environments.
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Degree/qualification in Computer Science or a related field, or equivalent work experience
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Proficiency in Terraform, AWS CLI, and Python or Bash scripting.
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Strong knowledge of IAM, VPC, ECS/EKS, Lambda, and serverless computing.
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Experience supporting AI/ML or GenAI pipelines in AWS (especially for compute and networking).
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Hands on experience to multiple AI / ML /RAG/LLM workloads and model deployment infrastructure.
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Exposure to multi-cloud architecture basics (e.g., SSO, networking, blob exchange, shared VPC setups).
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AWS Certified DevOps Engineer or Solutions Architect – Associate/Professional.
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Experience in developing, testing, and deploying data pipelines using public cloud.
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Clear and effective communication skills to interact with team members, stakeholders and end users
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Preferred Qualifications/ Skills
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Experience deploying infrastructure in both AWS and another major cloud provider (Azure or GCP).
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Familiarity with multi-cloud tools (e.g., HashiCorp Vault, Kubernetes with cross-cloud clusters).
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Strong understanding of DevSecOps best practices and compliance requirements.
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Exposure to RAG/LLM workloads and model deployment infrastructure.
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Knowledge of governance and compliance policies, standards, and procedures
Why join Genpact?
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Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
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Make an impact – Drive change for global enterprises and solve business challenges that matter
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Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
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Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
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Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
