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Software Engineer III - AWS/Java/Databricks

at J.P. Morgan

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

Software Engineer III - AWS/Java/Databricks

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Houston
Country
United States

Senior software engineer role within JPMorgan Chase's Corporate Technology organization, responsible for designing and delivering secure, scalable technology products as part of an agile team. Implement and maintain production code and AWS infrastructure, working with Databricks, Spark, Kafka, Java/Python, and AWS data services to build ETL and data processing pipelines. Monitor and troubleshoot system performance, contribute to CI/CD and DevOps practices, and drive improvements through data analysis and engineering best practices.

Location: Houston, TX, 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 JPMorgan Chase within the Corporate Technology organization, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve 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
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Designs, implements, and manages AWS infrastructure to support scalable and reliable applications.
  • Monitors system performance and troubleshoot issues using tools like Splunk, Dynatrace, and Grafana.
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic/intermediate complexity
  • 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
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficiency in software development processes, including DBX framework and Agile methodologies
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Experience with Databricks and AWS infrastructure 
  • Hands-on experience in programming languages such as Java and Python, and Big Data technologies including Spark/Kafka
  • Proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift
  • Experience with data integration, ETL processes, and data warehousing
  • Expertise with CI/CD such as Jenkins, Spinnaker, Terraform
  • Exposure to relational database such as Oracle and understanding of SQL/PL-SQL code

Preferred qualifications, capabilities, and skills

  • AWS, Google, or Azure certification
  • Databricks Certified Data Engineer or equivalent
  • Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes)
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III - AWS/Java/Databricks

at J.P. Morgan

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

Software Engineer III - AWS/Java/Databricks

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Houston
Country
United States

Senior software engineer role within JPMorgan Chase's Corporate Technology organization, responsible for designing and delivering secure, scalable technology products as part of an agile team. Implement and maintain production code and AWS infrastructure, working with Databricks, Spark, Kafka, Java/Python, and AWS data services to build ETL and data processing pipelines. Monitor and troubleshoot system performance, contribute to CI/CD and DevOps practices, and drive improvements through data analysis and engineering best practices.

Location: Houston, TX, 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 JPMorgan Chase within the Corporate Technology organization, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve 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
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Designs, implements, and manages AWS infrastructure to support scalable and reliable applications.
  • Monitors system performance and troubleshoot issues using tools like Splunk, Dynatrace, and Grafana.
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic/intermediate complexity
  • 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
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficiency in software development processes, including DBX framework and Agile methodologies
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Experience with Databricks and AWS infrastructure 
  • Hands-on experience in programming languages such as Java and Python, and Big Data technologies including Spark/Kafka
  • Proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift
  • Experience with data integration, ETL processes, and data warehousing
  • Expertise with CI/CD such as Jenkins, Spinnaker, Terraform
  • Exposure to relational database such as Oracle and understanding of SQL/PL-SQL code

Preferred qualifications, capabilities, and skills

  • AWS, Google, or Azure certification
  • Databricks Certified Data Engineer or equivalent
  • Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes)
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team