Senior Cloud Platform and AI Engineer

Infosys • Austin, NY

9d

About The Position

As a Technology Consultant 2, you will contribute to requirements elicitation, facilitate software design discussions, participate in coding and integration, conduct code reviews, implement test strategies, support production operations, and document technical work. You will collaborate across teams to translate complex requirements into development tasks and support software solutions through the full SDLC, from requirements gathering to implementation.

The role focuses on designing, building, automating, and operating secure cloud-native platforms on AWS. You will provision and manage Amazon EKS clusters and related infrastructure, containerize and deploy Python and .NET microservices, administer Kong Gateway, and build reusable CI/CD templates. You will implement configuration and secrets management, centralized logging, tracing, monitoring, and alerting, and integrate governed AI services through Amazon Bedrock and Model Context Protocol capabilities. You will partner with developers, architects, and security teams on platform standards, reusable capabilities, operational controls, and technical roadmaps.

Infosys Engineering applies data-first engineering and value-stream management, using technologies including AI, machine learning, and predictive analytics to improve delivery processes and time to market. The position may require relocation and/or travel to the work or project location. Applicants authorized to work in the United States are encouraged to apply.

Requirements

• Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of each year of education.
• Core skills in generative AI and AWS and Azure cloud architecture.
• Experience with Kubernetes, including EKS, AKS, ECS, and OpenShift.
• Experience with Terraform, Helm, Ansible, and multi-cloud infrastructure automation.
• Python and .NET/C# backend development skills.
• Experience with REST APIs and FastAPI.
• Experience with GitHub Actions, Jenkins, Azure DevOps, Concourse, Argo CD, and Harness.
• Experience with Docker and Linux.
• Knowledge of IAM, RBAC, networking, security, high availability, disaster recovery, and production operations.
• Collaborative spirit and excellent communication skills.
• Ability to handle SDLC phases from requirements gathering through implementation.
• Ability to translate complex requirements into actionable development tasks.
• Hands-on coding experience and a proactive approach to testing, troubleshooting, and refining applications.
• Position may require relocation and/or travel to the work or project location.
• Applicants must be authorized to work in the United States.

Nice To Haves

• Amazon Bedrock and Claude integration.
• Model Context Protocol registry and internal server integration.
• AI agents and plugin or skills development.
• Elastic Stack centralized logging.
• Dynatrace observability.
• Karpenter and Cluster Autoscaler.
• GitOps practices.
• Postman.
• Octopus Deploy.
• Jenkins.
• Terraform Cloud.
• PowerShell.
• Role-based access controls.

Responsibilities

• Document assigned portions of business requirements as part of requirements elicitation.
• Facilitate software application design discussions and document design decisions.
• Participate in coding and integrate features or updates into existing applications while maintaining system stability.
• Conduct code reviews, make codebase changes, and maintain code repositories.
• Implement testing strategies, analyze results, and coordinate bug fixes.
• Develop user training programs, documentation, and support frameworks for software transitions.
• Help resolve production issues and recommend preventive strategies to improve system reliability.
• Maintain records of code, testing techniques, and support activities.
• Design, build, automate, and operate secure cloud-native platforms on AWS.
• Provision and manage EKS clusters, networking, node groups, autoscaling, service accounts, add-ons, security baselines, and multi-tenant controls using Terraform and GitHub Actions.
• Containerize and deploy Python and .NET microservices using Docker and Helm.
• Administer Kong Gateway for routing, authentication, rate limiting, logging, transformations, and traffic governance.
• Build reusable CI/CD templates with automated testing, security scanning, packaging, and multi-stage deployment.
• Implement configuration and secrets management, centralized logging, distributed tracing, monitoring, and alerting.
• Integrate governed AI services through Amazon Bedrock and Model Context Protocol capabilities.
• Partner with developers, architects, and security teams to define platform standards, reusable capabilities, operational controls, and technical roadmaps.
• Work with cross-functional teams and support software integration.

Benefits

• Medical, dental, vision, and life insurance.
• Long-term and short-term disability coverage.
• Health and dependent care reimbursement accounts.
• Accident, critical illness, hospital indemnity, and legal insurance.
• 401(k) plan and contributions dependent on salary level.
• Paid holidays and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior