Cloud Developer

Govserviceshub; Alpharetta (GA); On-site; USD 110,000 - 135,000; Full time

Job summary

A technology service provider in Alpharetta seeks a Cloud Developer specialized in Generative AI. In this role, you’ll design transformative applications, lead platform development, and collaborate across teams for seamless functionality. Ideal candidates have 5+ years in software development and a strong grasp of cloud technologies. This position offers the opportunity to shape innovative solutions with cutting-edge AI techniques.

Qualifications

• 5+ years of software development experience in Python, Go, Java, or C++.
• Deep understanding of observability tools and experience with data management in cloud.
• Familiarity with MLOps principles for managing the machine learning lifecycle.

Responsibilities

• Design and implement an agent-oriented customer engagement platform.
• Collaborate with teams to ensure seamless integration of agents and tools.
• Monitor and optimize the solution for performance and customer satisfaction.

Skills

Prompt engineering for Generative AI

Cloud platform administration (AWS, GCP, Azure)

Incident management and root cause analysis

Tools

ADK

CI/CD tools

Monitoring tools

Job description

Alpharetta, United States | Posted on 09/26/2025

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