Senior Lead Software Engineer, Private Cloud

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Plano, TX
Employment: Full-time
Posted: 68 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $178k

$119k $236k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $153,675–$202,200.

Based on 240 similar postings.

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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 · Senior Lead Software Engineer, Private Cloud

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As a Sr Lead Software Engineer - Private Cloud, you will join the Corporate Sector - Atlas On Premise & Next Generation Infrastructure Team to build and deliver secure, stable, and scalable technology products. You will provide technical guidance to teams and vendors while developing high-quality production code, reviewing peer code, and debugging complex applications. Your daily work involves driving the adoption of AI-assisted engineering practices for code review, refactoring, and test acceleration. You must establish validation standards for secure coding and automated testing within the SDLC toolchain. Required skills include proficiency in Java, GoLang, or equivalent languages, alongside experience in private or public cloud infrastructure and APIs. You will solve technical problems independently, ensuring responsible AI use and operational stability within a large corporate environment.

Skills

Java GoLang Cloud Infrastructure API AWS Azure Cloud VMware OpenShift Hyper-V AI-assisted engineering SDLC System Design Automated Testing Secure Coding Root-cause analysis

What you'll do

Develop secure, high-quality production code and perform code reviews and debugging for other team members.
Provide technical guidance and direction to business teams, contractors, and external vendors.
Drive the adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
Establish measurable validation standards for secure coding, peer reviews, and automated testing.
Influence product design, application functionality, and technical operations through key architectural decisions.
Serve as a function-wide subject matter expert in specific technical areas of focus.
Advocate for firmwide frameworks, tools, and practices within the Software Development Life Cycle.
Coach senior engineers on compliant usage patterns for responsible AI in engineering workflows.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Proficiency in coding in Java, GoLang, or equivalent modern programming languages.
Strong experience in Private or Public cloud and a good understanding of Cloud Infrastructure and APIs.
Experience developing, debugging, and maintaining code in a large corporate environment.
Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and coaching others on compliant usage.
Ability to tackle design and functionality problems independently with little to no oversight.
Familiarity with VMware, OpenShift, Hyper-V, and bare metal platforms (preferred).

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