Motion Recruitment Partners LLC
GCP Platform Engineer
Motion Recruitment Partners LLC, Charlotte, North Carolina, United States, 28245
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Production Platform Engineer in Charlotte, NC (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience5+ years of Python experience5+ years of big data experience needed (Big Query, Hadoop)5+ years with Linux O/S capabilities3 years of experience in AIML area (MLOps)3+ years of supporting cloud infrastructures (GCP/Azure) as well as some experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.)3+ years of Pyspark experience3+ years with VMWare Virtualization technologiesWorking knowledge of Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic, and Vector DBExcellent verbal, written, and interpersonal communication skills.Ability to articulate technical solutions to both technical and business audiences.Recent and demonstrated ability to influence management on technical or business solutions.Working knowledge of design and build grid computing with CPU and GPU supporting AIML and NLPWorking knowledge of high-performance storage technologies along with Object StorageKnowledge and understanding of network infrastructure to support high throughput and low latency grid computing.
What You Will Be Doing
Participate in developing Generative AI Platform CapabilitiesResponsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)Participate in day-to-day standups for platform capability builds.Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications.Execute on roadmaps that align with technology and business strategy.Perform hardware and capacity planning, analysis, and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery.Act as an expert resource for other technical teams within DTI.Support of all on-prem Production infrastructure and cloud platforms including support of end users.
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Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience5+ years of Python experience5+ years of big data experience needed (Big Query, Hadoop)5+ years with Linux O/S capabilities3 years of experience in AIML area (MLOps)3+ years of supporting cloud infrastructures (GCP/Azure) as well as some experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.)3+ years of Pyspark experience3+ years with VMWare Virtualization technologiesWorking knowledge of Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic, and Vector DBExcellent verbal, written, and interpersonal communication skills.Ability to articulate technical solutions to both technical and business audiences.Recent and demonstrated ability to influence management on technical or business solutions.Working knowledge of design and build grid computing with CPU and GPU supporting AIML and NLPWorking knowledge of high-performance storage technologies along with Object StorageKnowledge and understanding of network infrastructure to support high throughput and low latency grid computing.
What You Will Be Doing
Participate in developing Generative AI Platform CapabilitiesResponsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)Participate in day-to-day standups for platform capability builds.Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications.Execute on roadmaps that align with technology and business strategy.Perform hardware and capacity planning, analysis, and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery.Act as an expert resource for other technical teams within DTI.Support of all on-prem Production infrastructure and cloud platforms including support of end users.
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