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Wipro · 4 hours ago

Engineering PM

Austin, TX

Full-time

Onsite

Mid, Senior Level

$60K/yr - $135K/yr

5+ years exp

Wipro is a digital transformation partner with ambitious goals, seeking an Engineering PM to lead the execution of Data engineering programs. The role involves managing cloud infrastructure, program leadership, and ensuring effective communication with stakeholders.

ConsultingInformation ServicesInformation TechnologySoftware

H1B Sponsor Likely

Responsibilities

Deployments/ Provisioning services in AWS/ Troubleshooting services

Lead the development and maintenance of CI/CD pipelines for both software and machine learning models

Manage and optimize containerized applications using Kubernetes

Proactively monitor and troubleshoot issues across the entire stack, from infrastructure to application and model

Work closely with software engineers, data scientists, and other technical experts to define requirements, review architecture, and ensure best practices are followed

Lead the end-to-end execution of a portfolio of Data engineering programs, aligning them with overall business goals and a strategic roadmap

Serve as the primary point of contact for relevant stakeholders, including engineering leadership, product managers, and executive teams

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

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

Qualification

AWSKubernetesCI/CD pipelinesGen AI technologiesProgram ManagementStakeholder CommunicationRisk ManagementTechnical Collaboration

Required

5-8 Years of experience

Expertise in Kubernetes

Experience with AWSDevOps/MLOps

Lead the development and maintenance of CI/CD pipelines for both software and machine learning models

Knowledge on Spark, Flynk, Ray

Manage and optimize containerized applications using Kubernetes

Proactively monitor and troubleshoot issues across the entire stack, from infrastructure to application and model

Good to have knowledge on Gen AI technologies