Senior Cloud Platform and AI Engineer

Infosys•New York, TX

1d•$82,419 - $116,957

About The Position

The Senior Cloud Platform and AI Engineer role is listed under the assigned job role of Technology Consultant 2 in Infosys Engineering. The position contributes to product-centric engineering and value delivery through cloud-native platform engineering, application development, automation, and AI integration. The engineer designs, builds, automates, and operates secure cloud-native platforms on AWS. Responsibilities include provisioning and managing Amazon EKS clusters, networking, node groups, autoscaling, service accounts, add-ons, security baselines, and multi-tenant controls with Terraform and GitHub Actions. The role containerizes and deploys Python and .NET microservices using Docker and Helm, administers Kong Gateway, and creates reusable CI/CD templates with testing, security scanning, packaging, and multi-stage deployment. It also involves configuration and secrets management, centralized logging, distributed tracing, monitoring, alerting, and governed AI integrations through Amazon Bedrock and Model Context Protocol capabilities. The role participates across the software development lifecycle, from requirements elicitation and design discussions through coding, testing, production support, and documentation. It collaborates with developers, architects, and security teams to establish platform standards, reusable capabilities, operational controls, and technical roadmaps. Relocation and/or travel to the work or project location may be required.

Requirements

Generative AI and AWS and Azure cloud architecture skills.
Kubernetes experience, including EKS, AKS, ECS, and OpenShift.
Experience with Terraform, Helm, Ansible, and multi-cloud infrastructure automation.
Python and .NET/C# backend development skills.
REST APIs and FastAPI experience.
Experience with GitHub Actions, Jenkins, Azure DevOps, Concourse, Argo CD, and Harness.
Docker and Linux skills.
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.
Design aptitude and hands-on coding experience.
Proactive approach to testing, troubleshooting, and application refinement.
Ability to work with cross-functional teams and perform software integration.
Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive specialty experience in lieu of each year of education.
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.
Artificial intelligence 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, modify the codebase, and maintain code repositories.
Implement test strategies, analyze results, and coordinate bug fixes.
Develop user training programs, documentation, and support frameworks for software transitions.
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 AWS cloud-native platforms.
Provision and manage Amazon EKS clusters, including 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 across end-to-end SDLC phases, translate requirements into development tasks, troubleshoot and refine applications, and support software integration with cross-functional teams.