Senior Cloud Platform and AI Engineer

OverviewThe Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive continuous improvement, enhance delivery processes, and accelerate time to market. Join us to be part of a team that is at the forefront of engineering innovation, delivering intelligent insights and empowering stakeholders to achieve hyper-productivity and sustainable growth.Job DescriptionIn the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability Conduct code reviews, do changes to the codebase and maintain code repositories Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projectsYour contribution to the team: A collaborative spirit and excellent communication skills. The ability to handle end to end SDLC phases from requirement gathering to implementation. A knack for translating complex requirements into actionable development tasks. A passion for design and hands-on coding experience A proactive approach to testing, troubleshooting, and refining our applications. The ability to work with cross-functional teams and do software integration.Required Skill and ExperienceCore skills: Generative AI, AWS and Azure cloud architecture; Kubernetes including EKS, AKS, ECS, and OpenShift; Terraform, Helm, Ansible, and multi-cloud infrastructure automation; Python and .NET/C# backend development; REST APIs and FastAPI; GitHub Actions, Jenkins, Azure DevOps, Concourse, Argo CD, and Harness; Docker and Linux; IAM, RBAC, networking, security, high availability, disaster recovery, and production operations.Preferred Skill and ExperiencePreferred skills: Amazon Bedrock and SageMaker; large language models, retrieval-augmented generation, embeddings, vector databases, AI agents, MCP servers, FastMCP, tools, skills, and plugins; Prometheus, Grafana, ELK, Splunk, and Azure Monitor; AWS Lambda and Azure Functions; PostgreSQL and MongoDB; OPA/Gatekeeper; Terraform Sentinel; multi-region and active-passive deployments; SonarQube, Artifactory, Octopus Deploy, and ServiceNow.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 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 while maintaining architecture documents, migration plans, runbooks, and operational procedures. Provide technical leadership, define reusable engineering standards, mentor engineers, and drive self-service platform capabilities.Required qualifications: More than 16 years of information technology experience, with 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. Hands-on experience with generative AI services and Model Context Protocol capabilities is preferred.Additional Required Qualifications• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • This position may require relocation and/or travel to work/project location. • All applicants authorized to work in the United States are encouraged to apply.EEO/About UsBenefitsAlong with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:Medical/Dental/Vision/Life InsuranceLong-term/Short-term DisabilityHealth and Dependent Care Reimbursement AccountsInsurance (Accident, Critical Illness , Hospital Indemnity, Legal)401(k) plan and contributions dependent on salary levelPaid holidays plus Paid Time OffAbout Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.Technical/Domain Skill 1Technology|AI Engineering|AI/ML Solution Architecture and Design Technical/Domain Skill 2Technology|AI Engineering|Model Deployment (Kubernetes) Technical/Domain Skill 3Technology|Cloud Platform|Terraform Technical/Domain Skill 4Technology|data science|PYTHON Technical/Domain Skill 5Technology|Generative AI|Conversational AI Platform Work LocationAustin, TX, New York, NYCountryUSAState / Region / ProvinceNew York, TexasCompanyITL USA Interest GroupInfosys Limited Job RoleTechnology Consultant 2Career RoleTechnology Lead - US: 155281BR