JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timePlano, TX, USANo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Proficiency in one or more of Java or Python.
Proficiency with private and public cloud-hosted platforms, including Pivotal Cloud and AWS; in-depth knowledge of AWS ECS, S3, SQS, SNS, Lambda, Glue, PySpark, and CloudWatch.
Experience with SRE and observability tools, including Splunk, Dynatrace, and Datadog.
Proficiency in Oracle, DB2, and Amazon Aurora PostgreSQL; hands-on SQL experience is required.
Hands-on experience with software development and CI/CD tools, including Jenkins, Spinnaker, IntelliJ, and Bitbucket.
Hands-on experience with infrastructure as code using Terraform.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database query languages.
Solid understanding of agile methodologies, CI/CD, application resiliency, and security.
Demonstrated knowledge of software applications and technical processes in a technical discipline such as cloud, artificial intelligence, machine learning, or mobile technology.

Responsibilities

Execute software solution design, development, and technical troubleshooting, using approaches beyond routine methods to build solutions or break down technical problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Produce architecture and design artifacts for complex applications and ensure software code development meets design constraints.
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems.
Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
Contribute to software engineering communities of practice and events exploring emerging technologies.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish consistent validation standards for secure coding, peer review, and automated testing; and promote reuse of effective patterns across the team.
Apply knowledge of software development lifecycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value realized by automation.
Contribute to a team culture of diversity, equity, inclusion, and respect.
Detect, troubleshoot, and resolve production issues in enterprise multi-environment settings using advanced observability tools.

Desired Qualifications

Familiarity with modern front-end technologies.
Experience in data pipeline design and development.
Experience with cloud migration projects.
Experience with AWS Glue and PySpark.
Overall knowledge of the software development lifecycle.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, Operations Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting 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
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Adds to team culture of diversity, equity, inclusion, and respect
Detects, troubleshoots and Resolves Production issues in an Enterprise multi-environment settings using advanced observability tools

Required qualifications, capabilities, and skills:

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages - Java, Python
Proficient in private and public Cloud hosted Platform - Pivotal Cloud, AWS. In-depth knowledge is a must for AWS ECS, S3, SQS, SNS, Lambda, Glue, pySpark, cloudwatch
Experienced in SRE and Observability tools - Splunk, Dynatrace and Datadog
Proficient in Oracle, DB2 and AW Aurora Postgress Database. Hands on experience writing SQL is a must
Hands on experience in Software Development tools and CI/CD tools - Jenkins, Spinnaker, IntelliJ, Bitbucket
Hands on experience in IAC - Terraform
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
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.)

Preferred qualifications, capabilities, and skills:

Familiarity with modern front-end technologies
Experience in Data Pipeline design and development
Experience in Cloud migration projects
Experience in AWS Glue and PySPark
Overall knowledge of the Software Development Life Cycle

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

Recently Posted Jobs

Explore more opportunities at JP Morgan Chase

See more jobs