Cloud Developer

Overview 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. 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 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 ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr