Senior Cloud Platform and AI Engineer

Infosys•Austin, NY

22h

About The Position

The Senior Cloud Platform and AI Engineer will design, develop, automate, and operate secure, scalable cloud and AI platforms across AWS and Azure. The role builds Python and .NET/C# REST APIs, backend services, and reusable application templates for application onboarding, platform integration, and cloud automation. It also develops reusable Terraform modules and Helm deployments for Kubernetes platforms, identity and access management, serverless services, networking, monitoring, and applications. The engineer integrates generative AI services and capabilities—including Amazon Bedrock, SageMaker, large language models, retrieval-augmented generation, embeddings, vector databases, AI agents, and Model Context Protocol services—with enterprise applications and developer workflows. The role creates and maintains CI/CD workflows; implements access controls, policy enforcement, vulnerability remediation, observability, high availability, disaster recovery, and multi-region deployments; and provides production support. Responsibilities include troubleshooting APIs, AI integrations, Kubernetes, cloud infrastructure, authentication, networking, databases, and deployment pipelines. The engineer collaborates with development, cloud, security, database, and operations teams and maintains architecture documents, migration plans, runbooks, and operational procedures. The position also provides technical leadership, defines reusable engineering standards, mentors engineers, and advances self-service platform capabilities. The broader team works across software development lifecycle activities, including requirements, design, coding, testing, documentation, and production issue resolution. The Infosys Engineering unit focuses on product-centric value delivery, data-first engineering, and value-stream management. It uses AI, machine learning, and predictive analytics to improve delivery processes and accelerate time to market. Infosys is a global digital services and consulting company serving clients in more than 50 countries.

Requirements

More than 16 years of information technology experience.
Strong hands-on experience in cloud architecture, DevOps, site reliability engineering, platform engineering, and production operations.
Practical expertise in AWS, Azure, Kubernetes, Terraform, Helm, Python, .NET/C#, REST APIs, CI/CD, Linux, cloud security, monitoring, and troubleshooting.
Experience building cloud automation, reusable platform services, and secure enterprise deployment patterns.
Experience leading technical initiatives and collaborating with globally distributed engineering, security, product, and operations teams.
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.
Collaborative spirit and excellent communication skills.
Ability to handle end-to-end 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.
Ability to work with cross-functional teams and perform software integration.
Authorization to work in the United States; applicants authorized to work in the United States are encouraged to apply.

Nice To Haves

Hands-on experience with generative AI services and Model Context Protocol capabilities.
Experience with Amazon Bedrock and SageMaker; large language models, retrieval-augmented generation, embeddings, vector databases, AI agents, MCP servers, FastMCP, tools, skills, and plugins.
Experience with Prometheus, Grafana, ELK, Splunk, or Azure Monitor.
Experience with AWS Lambda or Azure Functions.
Experience with PostgreSQL or MongoDB.
Experience with OPA/Gatekeeper or Terraform Sentinel.
Experience with multi-region and active-passive deployments.
Experience with SonarQube, Artifactory, Octopus Deploy, or ServiceNow.

Responsibilities

Design, develop, automate, and operate secure, scalable cloud and AI platforms across AWS and Azure.
Build Python and .NET/C# REST APIs, backend services, and reusable application templates for application onboarding, platform integration, and cloud automation.
Develop reusable Terraform modules and Helm deployments for EKS, AKS, OpenShift, IAM, serverless services, networking, monitoring, and applications.
Integrate generative AI services and capabilities, including Amazon Bedrock, SageMaker, large language models, retrieval-augmented generation, embeddings, vector databases, AI agents, and Model Context Protocol services, with enterprise applications and developer workflows.
Create and maintain CI/CD workflows using GitHub Actions, Jenkins, Azure DevOps, Concourse, Argo CD, or Harness.
Implement access controls, policy enforcement, vulnerability remediation, observability, high availability, disaster recovery, multi-region deployment, and production support.
Troubleshoot APIs, AI integrations, Kubernetes, cloud infrastructure, authentication, networking, databases, and deployment pipelines.
Collaborate with development, cloud, security, database, and operations teams.
Maintain architecture documents, migration plans, runbooks, and operational procedures.
Provide technical leadership, define reusable engineering standards, mentor engineers, and drive self-service platform capabilities.
Document assigned parts of business requirements and facilitate software application design discussions, recording design decisions.
Participate in coding, integrate features or updates into existing applications, conduct code reviews, and maintain code repositories.
Implement test strategies, analyze results, coordinate bug fixes, and help uphold software quality standards.
Develop user training programs, documentation, and support frameworks for software application transitions.
Participate in resolving production issues and recommend preventive strategies to improve system reliability.
Maintain records of code, testing techniques, and support activities.