Cloud Developer

Cloud Developer

Position Summary:

As a Cloud Developer with a focus on Generative AI, you will design and build an innovative application that transforms how developers interact with cloud technologies. Your work will help shape our agent-oriented software engineering (AOSE) journey. You will combine conversational AI, intelligent workflows, and integrated agents to automate and enhance developer experience using cloud at Fiserv.

Primary Responsibilities:

•     Leading the design, development, and implementation of an agentic customer engagement platform, leveraging the latest Generative AI capabilities

•     Collaborating with other development teams to integrate agents, tools, and cloud services, ensuring seamless functionality and efficient workflows

•     Monitoring, operating, and optimizing the solution for performance, customer satisfaction, and cost efficiency, ensuring high availability and responsiveness.

•     Develop and integrate autonomous, agents that can plan, execute, and monitor tasks across cloud platforms, including retrieval-augmented generation, tool use, and workflow automation

•     Participating in code reviews, technical discussions, and contributing to the overall architectural strategy of AI solutions

•     Integrate large language models (LLMs), vector search, and other ML capabilities to power conversational experiences and intelligent recommendations

•     Collaborate with software engineering and security teams to ensure new services and features are production-ready and meet reliability standards

Requirements

Qualifications:

•     Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP) and strong skills in prompt engineering for optimizing Generative AI model outputs.

•     5+ years of experience in software development with proficiency in at least one programming language (e.g., Python, Go, Java, C++)

•     Experience administrating cloud platforms (AWS, GCP, Azure), including networking, security, containerization, storage, data management, and serverless technologies

•     Deep understanding of observability (monitoring, alerting, and logging) tools in cloud environments. Ability to set up and maintain monitoring dashboards, alerts, and logs

•     Familiarity with Continuous Integration/Continuous Deployment (CI/CD) tools for automated testing, deployments, provisioning, and observability

•     Ability to manage and respond to incidents, perform root cause analysis, and implement post-mortem reviews

•     Understanding and practical experience with MLOps principles for managing the machine learning lifecycle

•     Experience with data management and engineering principles in a cloud context

Additional Qualifications a Plus:

•     Experience working with enterprise-scale financial services or other regulated industries

•     5+ years of experience in SRE, DevOps, MLOps, infrastructure, or cloud engineering roles, preferably supporting large-scale, distributed systems.

•     Experience leading technical projects or mentoring junior engineers

•     Cloud Certifications: Certified Engineer, Developer, Architect, DevOps