TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services
Position: Lead I - DevOps Engineering
Location: Alpharetta GA 30004
Job Type: Temporary Assignment
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
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
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services Position: Lead I - DevO...
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services
Position: Lead I - DevOps Engineering
Location: Alpharetta GA 30004
Job Type: Temporary Assignment
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
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
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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