Lead Software Engineer, Fullstack

JPMorgan Chase

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Plano, TX
Employment
Full-time
Posted
54 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $197k
$158k $232k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $182,000–$211,200.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Fullstack

Lead Software Engineer - Fullstack joins the Global Finance Technology team to build and deliver trusted, market-leading technology products in a secure and scalable manner. This role involves developing end-to-end, cloud-native microservices-based applications using domain modeling techniques to ensure software clarity and testability. Key responsibilities include writing high-quality production code, performing code reviews, and driving the adoption of AI-assisted engineering practices for code refactoring and test acceleration. The candidate must utilize Python, Flask, Django, HTML, CSS, JavaScript, Typescript, React, and Angular. Technical requirements include experience with AWS, Azure, or GCP, distributed systems, RESTful APIs, WebSockets, JSON, and both SQL and NoSQL databases. The role focuses on solving complex architectural challenges, ensuring zero-downtime releases, and maintaining operational stability within a banking domain context.

What you'll do

  • Deliver end-to-end cloud-native, microservices-based applications using best industry practices.
  • Develop secure production code and perform code reviews and debugging for other team members.
  • Design and build scalable, reliable solutions that ensure zero-downtime releases and optimized data performance.
  • Drive the adoption and governance of approved AI-assisted engineering practices across the development team.
  • Identify and automate the remediation of recurring issues to improve overall operational stability.
  • Lead communities of practice to drive awareness and adoption of leading-edge technologies.
  • Use domain modeling techniques to structure software for clarity, testability, and long-term evolution.
  • Investigate and resolve technical issues promptly to ensure they do not resurface.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering.
  • Proficiency in back-end technologies like Python, Flask, and Django to build microservices-based applications.
  • Experience working with cloud platforms (AWS, Azure, GCP), distributed systems, RESTful APIs, WebSockets, and JSON.
  • Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
  • Experience with agile development methodologies, the software development life cycle, and proficiency in automation and continuous delivery.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and understanding responsible AI use.
  • Strong soft skills including presentation, negotiation, mentoring, and stakeholder management (preferred).
  • Experience in the banking domain, AWS certification, or building enterprise solutions focused on Data Analytics or LLM implementations (preferred).

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