Software Engineer [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

3h•Onsite

About The Position

Duties: Design, develop and implement software solutions. Solve business problems through innovation and engineering practices. Involved in all aspects of the Software Development Lifecycle (SDLC) including analyzing requirements, incorporating architectural standards into application design specifications, documenting application specifications, translating technical requirements into programmed application modules, and developing or enhancing software application modules. Identify or troubleshoot application code-related issues. Take active role in code reviews to ensure solutions are aligned to pre-defined architectural specifications. Assist with design reviews by recommending ways to incorporate requirements into designs and information or data flows. Participate in project planning sessions with project managers, business analysts, and team members to analyze business requirements and outline proposed solutions. Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

Requirements

Bachelor's degree in Electronic Engineering, Computer Science, Computer Engineering, Information Technology, or related field of study plus 5 years (60 months) of experience in the job offered or as Software Engineer, Programmer Analyst, Senior Systems Operations Engineer, or related occupation.
Experience with the following: Setting up and maintaining CI/CD pipelines, including plugin management and pipeline scripting using Jenkins
Developing enterprise-level applications using the Spring framework, including Spring Boot and Spring MVC
Building applications using Java and object-oriented design and development principles
Front-end and back-end development, using JavaScript, Node.js, React, and Angular
Data analysis, automation, and application development, using Python, including at least one of the following libraries: Pandas or NumPy
Writing and maintaining shell scripts for task automation and system management
Writing SQL queries for data retrieval and manipulation using database design and optimization principles including normalization, indexing, query optimization, data modeling, backup and recovery, storage considerations, and database security
Deploying, managing, performance tuning, and troubleshooting Java applications on Apache Tomcat servers
Deploying, configuring, optimizing the performance of, and managing enterprise applications using IBM WebSphere
Managing projects and dependencies, automating builds, and developing custom plugins using Maven
Deploying, scaling, and managing containerized applications and performing cluster management and orchestration using Kubernetes
Infrastructure provisioning and management using AWS services including EC2, S3, RDS, and Lambda
Application performance monitoring and analysis, including identifying and resolving performance bottlenecks using Dynatrace
NoSQL database management, including data modeling, indexing, and query optimization using MongoDB
Oracle database administration, including performance tuning, backup, recovery, and PL/SQL programming
Log analysis and monitoring, including creating dashboards and alerts for operational insights using Splunk
Version control, including branching strategies, merge conflict resolution, and repository management using GIT
Writing and executing unit tests using JUnit
Applying unit testing practices and frameworks
Designing, implementing, and maintaining infrastructure as code solutions, including writing and managing configuration files for cloud resource provisioning using Terraform
Secrets management and environment variable management in application development using Doppler
Monitoring cloud infrastructure and applications and setting up metrics, logs, and traces using Datadog.