• Cloud Developer

    Insight Global (Alpharetta, GA)


    Job Description

    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

     

    This position requires you to go into the office 5x a week in Alpharetta, GA or Berkley Heights NJ.

     

    Pay Rate: 54-56/hr.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

    Skills and Requirements

    • 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 · 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