J.P. Morgan
Software Engineer III - AWS/Java/Databricks
J.P. Morgan, Houston, Texas, United States, 77246
Overview
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)
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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)
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