Software Engineer III - Databricks

Jersey City - USA

Monthly Salary: $ 133000 - 185000

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Description

Bring your Software Engineering AIML experience and be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms data and analytics journey. This includes ensuring the quality integrity and security of the companys data as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firms commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products improve productivity and enhance risk management effectively and responsibly.

As a Software Engineer III at JPMorgan Chase within the Corporate Sector- AIML Data Platforms Team Chief Data & Analytics Office (CDAO) you will be an integral part of an agile team dedicated to developing enhancing and delivering innovative technology products with a strong focus on security stability and scalability. Your extensive technical expertise and problem-solving skills will be essential in addressing a wide range of challenges across different technologies and applications significantly contributing to the success of the business through your impactful work.

Job responsibilities

Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools.
Designs implements and maintains a managed AWS Databricks platform and providing engineering and operational support.
Adds features to and refactors existing code in Infra as Code - terraform modules API development with Python and/or other tech products.
Performs platform design set-up and configuration workspace administration resource monitoring providing engineering support to data engineering teams Data Science/ML and Application/integration teams.
Collaborates closely with the Team Leads other Platform/Architecture teams and Data Engineers/Scientists/Architects/Modelers/Analysts to design technical solutions for AWS Databricks platform.
Drives decisions that influence the product design application functionality and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 3 years applied experience
Programming experience in one or more of the following Java or Python
Hands-on experience in AWS Cloud Services Provisioning and Usage: RDS Dynamo DB Lambdas IAM Role EMR EKS Security Groups
Hands-on experience in Terraform Enterprise CI/CD pipelines using Jenkins and Groovy
Good understanding of Networking Rules / Firewalls / DNS / IPv4 / Oauth / SAML / VPCs in AWS and On-Prem Systems Big Data Compute Engines (Spark)
Cyber security fundamentals and working knowledge
Experience in designing developing or maintaining production-grade cloud solutions in Cloud ecosystems such as Amazon Web Services
Hands-on practical experience delivering system design application development testing and operational stability
Ability to tackle design and functionality problems independently with little to no oversight
Experience in Computer Science Computer Engineering Mathematics or a related technical field

Preferred qualifications capabilities and skills

Exposure to AWS & Databricks Platform/Infrastructure administration
Experience with Big Data Compute Engine - Spark
Experience with Agile development processes as needed (SCRUM/KANBAN) using JIRA.
Experience in managing product release lifecycle at enterprise level.

DescriptionBring your Software Engineering AIML experience and be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms da...

Description

Bring your Software Engineering AIML experience and be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

Job responsibilities

Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools.
Designs implements and maintains a managed AWS Databricks platform and providing engineering and operational support.
Adds features to and refactors existing code in Infra as Code - terraform modules API development with Python and/or other tech products.
Performs platform design set-up and configuration workspace administration resource monitoring providing engineering support to data engineering teams Data Science/ML and Application/integration teams.
Collaborates closely with the Team Leads other Platform/Architecture teams and Data Engineers/Scientists/Architects/Modelers/Analysts to design technical solutions for AWS Databricks platform.
Drives decisions that influence the product design application functionality and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 3 years applied experience
Programming experience in one or more of the following Java or Python
Hands-on experience in AWS Cloud Services Provisioning and Usage: RDS Dynamo DB Lambdas IAM Role EMR EKS Security Groups
Hands-on experience in Terraform Enterprise CI/CD pipelines using Jenkins and Groovy
Good understanding of Networking Rules / Firewalls / DNS / IPv4 / Oauth / SAML / VPCs in AWS and On-Prem Systems Big Data Compute Engines (Spark)
Cyber security fundamentals and working knowledge
Experience in designing developing or maintaining production-grade cloud solutions in Cloud ecosystems such as Amazon Web Services
Hands-on practical experience delivering system design application development testing and operational stability
Ability to tackle design and functionality problems independently with little to no oversight
Experience in Computer Science Computer Engineering Mathematics or a related technical field

Preferred qualifications capabilities and skills

Exposure to AWS & Databricks Platform/Infrastructure administration
Experience with Big Data Compute Engine - Spark
Experience with Agile development processes as needed (SCRUM/KANBAN) using JIRA.
Experience in managing product release lifecycle at enterprise level.

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
Data Structures
JavaScript
Software Development
Java
Distributed Systems

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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