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Lead Software Engineer - Full Stack

JPMorgan Chase

Lead Software Engineer - Full Stack

JPMorgan Chase

Houston, TX, United States, US

·

On-site

·

Full-time

·

1w ago

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 JPMorgan Chase within the Corporate Technology, you are an essential member of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Implements statistical algorithms in scala, java on large data sets
  • Works with cloud enablement technologies including AWS & its various services
  • Works with different data platforms including on premise Hadoop servers, AWS, Databricks and Kubernetes
  • Performing unit test cases and integration testing using java for software components

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)- Java, J2ee, Front End (React, Angular) based technical skills
  • Proficiency in automation and continuous delivery methods
  • Experience with Relational Databases & SQL
  • Knowledge of GIT, bitbucket, Maven
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Practical cloud native experience- AWS cloud with hands-on various AWS services- Cloud Computing, Spring boot, Spring cloud
  • Experience with development of microservices and REST API

Preferred qualifications, capabilities, and skills- Experience in Java 8/11/17, Object-Oriented design & analysis is a plus

  • Knowledge on Big Data technical stack preferably with spark
  • Experience with Unix, shell scripts, python is a plus
  • Working experience on Scala & Spark is a nice to have skill

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study