Principal Software Engineer - Executive Director

Posted Yesterday
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2 Locations
Hybrid
Expert/Leader
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Build and lead a firmwide source code intelligence platform using APIs, query interfaces, data pipelines, semantic-tree representations, and code search. Develop secure, scalable production software; establish platform contracts, versioning, resiliency, and adoption standards; and integrate SDLC controls and compliance checks with real code structure. Guide agentic AI engineering workflows with appropriate governance, auditability, security, and validation while influencing senior stakeholders and engineering teams.
Summary Generated by Built In

As a Principal Software Engineer at JPMorganChase within Enterprise Technology, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.  Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

In this role you will help build a new source code intelligence platform: firmwide code search combined with lossless semantic trees — a structural, queryable representation of our codebase that lets us reason about code rather than simply search its text. You will build the integration points that let SDLC controls and compliance checks run directly against real code structure instead of manual review.

You will spend most of your time hands-on, designing and building the APIs, pipelines, and integrations that connect semantic-tree data to engineering and controls workflows. The remainder goes into setting technical direction and defining how other teams consume this platform to modernize compliance across the SDLC.

 

Job responsibilities

 

  • Creates complex and scalable coding frameworks using appropriate software design frameworks
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, releases readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams
  • 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 at scale
  • Advises cross-functional teams on technological matters within domain of expertise and serves as the function's go-to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
  • Creates durable, reusable software frameworks that are leveraged across teams and functions
  • Influences leaders and senior stakeholders across business, product, and technology teams
  • Designs and builds the APIs, query interfaces, and data pipelines that make code search and lossless semantic-tree data consumable at firm scale, defining the contracts, versioning, and service levels that consuming teams and enterprise-authorized AI-assisted engineering tools depend on
  • Engineers the platform's query and data access layer over firmwide code intelligence infrastructure, owning query latency, data freshness, resiliency, and cost characteristics as consumption grows across the firm's codebase
  • Defines how SDLC controls, compliance checks, and engineering workflows execute against real code structure rather than manual review, and drives adoption by delivering the reference integrations, consumption patterns, and standards other teams build against

 

 

 Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and advanced applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Expert in one or more programming language(s)
  • Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data, grounded in a strong understanding of responsible AI use, control expectations, and risk-based governance in engineering workflows
  • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
  • Ability to present and effectively communicate with Senior Leaders and Executives
  • Understanding of the business
  • Practical cloud native experience
  • Demonstrated experience designing and operating platform APIs and data services consumed by other engineering teams, including contract design, versioning, and backward compatibility as the consumer base grows
  • Hands-on experience building high-volume, data-intensive systems where query latency, data freshness, and index or storage design determine whether the product is usable, including the associated capacity, cost, and resiliency trade-offs
  • Experience delivering an internal platform as a product, establishing the consumption patterns, reference implementations, and documentation that drive measurable adoption across multiple teams, and evolving that platform without breaking existing consumers

Preferred qualifications, capabilities, and skills

  • Experience working with structured representations of source code, such as abstract syntax trees, symbol or dependency graphs, or large-scale code search indexes, and exposing them through queryable interfaces
  • Experience automating SDLC controls, audit evidence collection, or change management and regulatory checks in a controlled or regulated engineering environment
  • Experience building developer-facing tooling or platforms adopted across a large engineering organization, including supplying trustworthy code context to AI-assisted development tools

About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
  
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Skills Required

  • Formal training or certification in software engineering concepts with advanced applied experience
  • Hands-on experience delivering system design, application development, testing, and operational stability
  • Expertise in one or more programming languages
  • Experience designing and leading adoption of agentic AI-enabled development practices across teams
  • Experience establishing human-in-the-loop validation, auditability, traceability, secure data handling, responsible AI use, and risk-based governance
  • Experience solving complex technology problems using advanced methods in one or more technical disciplines
  • Ability to communicate effectively with senior leaders and executives
  • Understanding of business operations
  • Practical cloud-native experience
  • Experience designing and operating platform APIs and data services, including contract design, versioning, and backward compatibility
  • Experience building high-volume, data-intensive systems with query latency, data freshness, index or storage design, capacity, cost, and resiliency trade-offs
  • Experience delivering an internal platform as a product with consumption patterns, reference implementations, documentation, and measurable adoption
  • Experience with structured source-code representations such as abstract syntax trees, symbol or dependency graphs, or large-scale code search indexes
  • Experience automating SDLC controls, audit evidence collection, change management, or regulatory checks in controlled engineering environments
  • Experience building developer-facing tooling or platforms adopted across large engineering organizations
  • Experience supplying trustworthy code context to AI-assisted development tools

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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