JP Morgan Chase & Co.

Senior Lead Software Engineer - Technology Risk

JP Morgan Chase & Co. • $138K — $165K *
Plano, TX 75024In-Person
Finance & Insurance
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5+ years of applied experience in software engineering and formal training or certification in related concepts
  • Experience leading enterprise use of AI-assisted software development tools with a focus on validating outputs
  • Strong understanding of responsible AI use in workflows, including data sensitivity and security
  • Hands-on system design and application development skills with production ownership experience
  • Advanced proficiency in Python (3.10+) with expertise in dataclasses, type hints, and package structure
  • Strong skills in SQL and data modeling, with a focus on performance
  • Experience delivering generative AI/LLM solutions and building authenticated API integrations.

Responsibilities

  • Drive adoption of AI-assisted engineering practices to improve code quality and delivery speed
  • Build and maintain full-stack Python toolkits and risk oversight workflows
  • Implement LLM-based services aligned to risk and control expectations
  • Develop authenticated integrations and APIs focusing on performance and security
  • Collaborate with Data Scientists on data pipelines for large datasets
  • Write high-quality production code and contribute to code reviews
  • Build observability into services and troubleshoot production issues

Benefits

  • Opportunity to work on innovative technology products
  • Work within a collaborative and agile team environment
  • Contribute to impactful projects in risk and control technology
  • Engagement with a wide range of technologies and methodologies
  • Access to enterprise-authorized AI-assisted engineering tools.
Full Job Description
JOB DESCRIPTION
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. 

As a Senior Lead Software Engineer at JPMorganChase within the Chief Technology Office - Risk, Control & Regulatory team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. 
You will develop Python-based software that combines data pipelines, authenticated internal-system integrations, and generative AI/LLM-based agent capabilities. You will focus on a Python and PostgreSQL platform, backed by a curated risk data store and an architecture of LLM agents and skills. You will contribute production code regularly, raise the engineering quality bar through strong technical judgment and collaboration, and ensure solutions are reliable, well-observed, and compliant with firm expectations for security, data sensitivity, and responsible AI use.

Job responsibilities
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Build and maintain the full-stack Python toolkit and data products that power agentic risk-oversight workflows 
  • Implement LLM-based services, including retrieval-augmented generation (RAG), tool/function calling, agent and skill orchestration, prompt/version management, and evaluation/guardrails aligned to risk and control expectations.
  • Develop authenticated integrations and APIs to internal systems (REST and streaming/WebSocket), handling cookie/CSRF/Kerberos/SSO auth, pagination, retry/backoff, and TLS, with a focus on performance, reliability, resiliency, and security-by-design.
  • Work on data pipelines with our Data Scientist’s that stream and normalize large datasets and join them across sources against large schemas, using correct, performant, read-only SQL.
  • Write secure, high-quality production code and comprehensive tests; contribute actively to code reviews (as author and reviewer) with a focus on maintainability, clarity, and misuse resistance.
  • Build observability into services (logs/metrics/tracing), troubleshoot production issues, participate in incident response as needed, and automate remediation for recurring operational problems.
  • Implement safe-by-default patterns for AI features (e.g., bounded tool use, validation, timeouts, structured outputs, audit trails, and human-in-the-loop workflows where appropriate).
  • Generate audience-ready outputs, including self-contained interactive HTML dashboards and structured evidence packages, calibrated for technical and non-technical risk stakeholders.
  • Collaborate in our product team to refine requirements, break down work, and deliver iteratively in partnership with Product, Risk, Controls, Compliance, and data teams.
  • Use enterprise-authorized AI-assisted engineering tools responsibly to accelerate delivery (coding, refactoring, test creation, troubleshooting) while validating outputs for correctness, performance, and security.
     
 
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience 
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
  • Strong hands-on system design and application development skills with demonstrated production ownership (delivery, stability, incident response, and continuous improvement).
  • Advanced Python proficiency (3.10+), including idiomatic use of dataclasses, type hints, generators/streaming, CLI frameworks (e.g., click), and sound package structure.
  • Strong SQL and data-modeling skills: correct, performant, read-only queries and confident reasoning about joins across large schemas and data quality.
  • Hands-on experience delivering generative AI/LLM solutions, including RAG, tool orchestration, evaluation, and guardrails.
  • Proven experience building and maintaining authenticated API integrations (REST and streaming/WebSocket), including cookie/CSRF/Kerberos/SSO auth, pagination, retry/backoff, and robust error handling.
  • Experience building secure, auditable systems (versioning, access controls, credential-at-rest hygiene, data handling, logging/audit trails, monitoring, and change management).
  • Data-engineering pragmatism: streaming large files, header/key normalization, fuzzy joins, and memory-conscious ETL over dirty, real-world data.
  • Experience building and testing production Python with modern CI/CD practices (e.g., pytest with fixtures, linting/type-checking, and a disciplined git/PR workflow).
 
Preferred qualifications, capabilities, and skills
 
  • Experience with risk management domains and workflows (e.g., controls, operational risk, entitlements/SOX, privileged access, incident/change/problem management, model risk) and building in regulated environments
  • Experience authoring LLM agent/skill systems, knowledge-base/RAG design, and MCP-based tooling.
  • Frontend-lite reporting skills: generating interactive HTML/CSS/JS dashboards (e.g., Chart.js) from Python, with basic data-visualization sense.
  • Exposure to distributed computing or cloud data platforms (e.g., a major cloud provider, Spark, or Databricks).
     

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at JP Morgan Chase & Co.

More Finance & Insurance Jobs

Find similar Senior Lead Software Engineer - Technology Risk jobs:

NationwidePlano, TX