Cloud Developer
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Position Summary:<\/span><\/b>
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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.<\/span>
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Primary Responsibilities:<\/span><\/b>
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• Leading the design, development, and implementation of an
agentic customer engagement platform, leveraging the latest Generative AI
capabilities<\/span>
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• Collaborating with other development teams to integrate
agents, tools, and cloud services, ensuring seamless functionality and
efficient workflows<\/span>
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• Monitoring, operating, and optimizing the solution for
performance, customer satisfaction, and cost efficiency, ensuring high
availability and responsiveness.<\/span>
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• Develop and integrate autonomous, agents that can plan,
execute, and monitor tasks across cloud platforms, including
retrieval -augmented generation, tool use, and workflow automation<\/span>
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• Participating in code reviews, technical discussions, and
contributing to the overall architectural strategy of AI solutions<\/span>
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• Integrate large language models (LLMs), vector search, and
other ML capabilities to power conversational experiences and intelligent
recommendations<\/span>
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• Collaborate with software engineering and security teams to
ensure new services and features are production -ready and meet reliability
standards<\/span>
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Qualifications:<\/span>
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• Familiarity with Agent Development Kit (ADK), Model Context
Protocol (MCP) and strong skills in prompt engineering for optimizing
Generative AI model outputs.<\/span>
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• 5+ years of experience in software development with
proficiency in at least one programming language (e.g., Python, Go, Java, C++)<\/span>
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• Experience administrating cloud platforms (AWS, GCP, Azure),
including networking, security, containerization, storage, data management, and
serverless technologies<\/span>
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• Deep understanding of observability (monitoring, alerting,
and logging) tools in cloud environments. Ability to set up and maintain
monitoring dashboards, alerts, and logs<\/span>
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• Familiarity with Continuous Integration/Continuous
Deployment (CI/CD) tools for automated testing, deployments, provisioning, and
observability<\/span>
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• Ability to manage and respond to incidents, perform root
cause analysis, and implement post -mortem reviews<\/span>
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• Understanding and practical experience with MLOps principles
for managing the machine learning lifecycle<\/span>
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• Experience with data management and engineering principles
in a cloud context<\/span>
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Additional Qualifications a Plus:<\/span><\/b>
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• Experience working with enterprise -scale financial services
or other regulated industries<\/span>
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• 5+ years of experience in SRE, DevOps, MLOps,
infrastructure, or cloud engineering roles, preferably supporting large -scale,
distributed systems.<\/span>
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• Experience leading technical projects or mentoring junior
engineers<\/span>
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• Cloud Certifications: Certified Engineer, Developer,
Architect, DevOps<\/span>
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