Engineering PM (Data Platforms) -- Sunnyvale, CA

Hi  

Greetings from Smart Folks…!!!

My name is Kumar we have a job opportunity for you as Engineering PM one of our client based at Sunnyvale, CA find the Job description below, if you are available and interested, please send us your word copy of your resume with following detail to  Or please call me on  to discuss more about this position.  

Job Title: Engineering PM

Location: Sunnyvale, CA

Duration: Full Time

Start Date: ASAP

Technical PM with project experience in Managing and implementing Data Platforms

Job Details:        

• Engineering (40-50%):
• Cloud Infrastructure and Services: Deployments/ Provisioning services in AWS/ Troubleshooting services. Expertise in Kubernetes, AWS
• DevOps/MLOps: Lead the development and maintenance of CI/CD pipelines for both software and machine learning models.  Knowledge on Spark, Flynk, Ray (Good to have)
• Containerization and Orchestration: Manage and optimize containerized applications using Kubernetes. Troubleshoot and resolve issues related to container orchestration and deployment.
• System Troubleshooting: Proactively monitor and troubleshoot issues across the entire stack, from infrastructure to application and model 
• Gen AI Expertise: Good to have knowledge on Gen AI technologies
• Technical Collaboration: Work closely with software engineers, data scientists, and other technical experts to define requirements, review architecture, and ensure best practices are followed.
• Program Management (50-60%):
• Program Leadership: Lead the end-to-end execution of a portfolio of Data engineering programs, aligning them with overall business goals and a strategic roadmap.
• Stakeholder Communication: Serve as the primary point of contact for relevant stakeholders, including engineering leadership, product managers, and executive teams. Provide clear, concise, and regular updates on program progress, risks, and dependencies.
• Planning and Execution: Develop and manage comprehensive program plans, including timelines, budgets, and resource allocation. Drive the entire project lifecycle from initial concept and ideation through to launch and post-deployment monitoring.
• Risk and Dependency Management: Proactively identify technical and logistical risks and bottlenecks. Develop and implement mitigation strategies to keep projects on track. Manage cross-team dependencies and resolve conflicts as they arise.