Job Description

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 Liquidity and Account Solutions 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 Conducts detailed peer reviews of code developed by colleagues Owns technical epics, supporting the team with the solution design and story refinement and estimation process through to delivery Provides out of hours application support and coordination of Production releases Analyzes complex flows of data between technical systems to develop solutions that meet the business needs

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts or a related discipline and proficient applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages, including

Java 17+

with Spring Boot Experience of creating thread-safe concurrent code in Java or another JVM based language Hands-on experience with event driven architecture and distributed messaging technologies (e.g.

Kafka

) Experience with Docker and running Production workloads on

Kubernetes

Experience using and designing schemas/data structures on relational databases (e.g.

PostgreSQL

,

MySQL

,

Aurora

and

Oracle

) Experience in applying appropriate data structures and algorithms to solve business and technical problems Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Expertise in application, data and infrastructure architecture disciplines

Preferred qualifications, capabilities, and skills

Experience with user interface technologies and languages, e.g.

ReactJs

,

AngularJs

,

Typescript

,

JavaScript

,

CSS

and

HTML5

Experience with user interface testing technologies, e.g.

Selenium

and

Cypress

Proficient with

SQL

and querying relational databases Experience with using

Terraform

to provision and configure infrastructure Experience with deploying and maintaining production workloads on the AWS public cloud Performance testing tool experience, e.g.

Blazemeter

and associated technologies UX and User Interface design experience Experience of working on production, Internet facing web applications Experience of data integration and streaming data analytics pipeline technologies Experience of cloud big data analytics platforms and technologies (e.g.

Databricks

) Certified Kubernetes knowledge (e.g. CKAD) * Certified AWS developer knowledge (e.g. AWS Developer Associate)