LOG IN
SIGN UP
Tech Job Finder - Find Software, Technology Sales and Product Manager Jobs.
Sign In
OR continue with e-mail and password
E-mail address
Password
Don't have an account?
Reset password
Join Tech Job Finder
OR continue with e-mail and password
E-mail address
Username
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Software Engineer III - Data engineering, Java/Python

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer III - Data engineering, Java/Python

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 17 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Jersey City
Country
United States

Senior software engineer role within Corporate Risk Technology at JPMorgan Chase focused on designing and delivering advanced data engineering solutions and scalable, secure production code. You'll work on large-scale enterprise platforms using Java/Python, cloud-native technologies, microservices, APIs, and big data processing with emphasis on observability and CI/CD. Responsibilities include architecture and design artifacts, data analysis and visualization, operational stability, and contributing to engineering communities and best practices.

Location: Jersey City, NJ, United States

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architecture team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

 

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3 + years applied experience.
  • Proficiency in Data Engineering & Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions
  • Advanced in one or more programming language(s) eg. Java, Python, C/C++, C#
  • Working knowledge of relational and NoSQL databases and data lake architectures
  • Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB. 
  • Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Practical cloud native experience

 

Preferred qualifications, capabilities, and skills

  • Experience with modern data technologies such as Databricks or Snowflake.
  • Hands-on experience with Spark/PySpark and other big data processing technologies
  • Knowledge of the financial services industry and their IT systems

 

Design & deliver advanced data engineering solutions and market-leading technology products in a secure scalable environment

Software Engineer III - Data engineering, Java/Python

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer III - Data engineering, Java/Python

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 17 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Jersey City
Country
United States

Senior software engineer role within Corporate Risk Technology at JPMorgan Chase focused on designing and delivering advanced data engineering solutions and scalable, secure production code. You'll work on large-scale enterprise platforms using Java/Python, cloud-native technologies, microservices, APIs, and big data processing with emphasis on observability and CI/CD. Responsibilities include architecture and design artifacts, data analysis and visualization, operational stability, and contributing to engineering communities and best practices.

Location: Jersey City, NJ, United States

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architecture team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

 

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3 + years applied experience.
  • Proficiency in Data Engineering & Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions
  • Advanced in one or more programming language(s) eg. Java, Python, C/C++, C#
  • Working knowledge of relational and NoSQL databases and data lake architectures
  • Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB. 
  • Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Practical cloud native experience

 

Preferred qualifications, capabilities, and skills

  • Experience with modern data technologies such as Databricks or Snowflake.
  • Hands-on experience with Spark/PySpark and other big data processing technologies
  • Knowledge of the financial services industry and their IT systems

 

Design & deliver advanced data engineering solutions and market-leading technology products in a secure scalable environment