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