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 Consumer & Investment Banking, Payment Technologies team, you serve as a seasoned member of an agile 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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure provisioning and build using Terraform, Kubernetes in AWS concepts and 3 years applied experience
• Proficient in coding in one or more languages (Python, Golang, etc)
• Experience developing cloud native applications on platforms like CloudFoundry, Terraform, Kubernetes, AWS, GCP
• Overall knowledge of the Software Development Life Cycle
• Experience in AWS Data Analytics platform and related services - S3, AWS Glue, RedShift, Athena, Lake Formation, Lambda etc.
• Experience in building data pipelines using Spark/Glue
• Good experience with message driven software patterns (Kafka, MQ) and big data technology ( Hdfs, Hive, Hbase, Spark, Impala, Zeppelin, Jupyter, Cassandra, Elasticsearch, etc.)

Preferred qualifications, capabilities, and skills

• Strong knowledge on HDFS, Spark, hive, impala, Elastic Search clusters – system configuration, performance tuning, certificate management
• AWS certified and AWS Databricks support knowledge