Cognizant
Sr Python Lead Developer - Gen AI (Onsite)
Cognizant, Houston, Texas, United States, 77246
Sr Python Lead Developer - Gen AI (Onsite)Job SummaryWe are seeking a highly skilled Technical Lead with 8 to 12 years of experience to join our dynamic team. The ideal candidate will have extensive experience in Google Cloud Services, Google Cloud Big Data, Azure, Open AI, GCP, Generative AI, Python, and PySpark. This role involves leading technical projects, providing innovative solutions, and ensuring the successful delivery of high-quality software products.
ResponsibilitiesLead the design and implementation of scalable and efficient architectures using Python, Generative AI, Azure, and GCP.Oversee the development and deployment of big data solutions on Google Cloud Platform.Provide technical guidance and mentorship to team members, ensuring best practices are followed.Communicate effectively with stakeholders, providing regular updates on project progress and challenges.
QualificationsPossess strong expertise in Python and Generative AI with a proven track record of successful projects.Demonstrate proficiency in Azure and GCP with hands-on experience in deploying and managing cloud-based solutions.Have extensive knowledge of PySpark and its application in big data processing.Show experience with Google Cloud - Big Data and Google Cloud - Services leveraging these technologies to build robust solutions.Exhibit excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues.Display strong communication and collaboration skills, working effectively with cross-functional teams.Full software development lifecycle experience.Strong object-oriented analysis and design skills.Strong Python programming expertise.C# nice to have.Proven practical expertise in Azure, specifically with respect to:Authoring, deploying, debugging, and troubleshooting function apps.Function app scaling (horizontally and vertically).Application Insights.Log Analytics Workspaces.API Management Service.Azure Service Bus.Capturing and recording usage and other info from APIs proxied by API Management Service.API development experience nice to have.General understanding of Generative AI models, concepts, capabilities, and usage patterns.Experience with Lang chain or other similar abstraction/orchestration library is a benefit.Experience with at least one of the following:Azure Open AI models - public API.Google Gemini model variants - public API.
Certifications RequiredGoogle Cloud Professional Data Engineer.Microsoft Certified: Azure AI Engineer Associate.Google Cloud Professional Cloud Architect.Certified PySpark Developer.
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ResponsibilitiesLead the design and implementation of scalable and efficient architectures using Python, Generative AI, Azure, and GCP.Oversee the development and deployment of big data solutions on Google Cloud Platform.Provide technical guidance and mentorship to team members, ensuring best practices are followed.Communicate effectively with stakeholders, providing regular updates on project progress and challenges.
QualificationsPossess strong expertise in Python and Generative AI with a proven track record of successful projects.Demonstrate proficiency in Azure and GCP with hands-on experience in deploying and managing cloud-based solutions.Have extensive knowledge of PySpark and its application in big data processing.Show experience with Google Cloud - Big Data and Google Cloud - Services leveraging these technologies to build robust solutions.Exhibit excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues.Display strong communication and collaboration skills, working effectively with cross-functional teams.Full software development lifecycle experience.Strong object-oriented analysis and design skills.Strong Python programming expertise.C# nice to have.Proven practical expertise in Azure, specifically with respect to:Authoring, deploying, debugging, and troubleshooting function apps.Function app scaling (horizontally and vertically).Application Insights.Log Analytics Workspaces.API Management Service.Azure Service Bus.Capturing and recording usage and other info from APIs proxied by API Management Service.API development experience nice to have.General understanding of Generative AI models, concepts, capabilities, and usage patterns.Experience with Lang chain or other similar abstraction/orchestration library is a benefit.Experience with at least one of the following:Azure Open AI models - public API.Google Gemini model variants - public API.
Certifications RequiredGoogle Cloud Professional Data Engineer.Microsoft Certified: Azure AI Engineer Associate.Google Cloud Professional Cloud Architect.Certified PySpark Developer.
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