Senior Lead Software Engineer; Data, Cloud, ML

Posted 21 Days Ago
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London, Greater London, England
Hybrid
7+ Years Experience
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Senior Lead Software Engineer at JPMorgan Chase, design and deliver technology products, build data-intensive microservices, implement ML engineering solutions, contribute to software communities, provide technical leadership, mentor junior team members, and ensure system stability.
Summary Generated by Built In

Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level
As a Senior Lead Software Engineer at JPMorgan Chase within theCorporate Investment Bank, Markets Research Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on cutting-edge projects such as recommender systems and GenerativeAI applications, helping us industrialize AI/ML models at Production scale. This role is a pure hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role.
Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Builds end-to-end data-intensive micro-services, including data pipelines, distributed processing and backend application development
  • Designs and implements end-to-end ML engineering solutions, moving experimental models to production scale systems
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, equity, inclusion, and respect
  • Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.
  • Designs and implements hands-on solutions while providing technical leadership and mentorship to more junior team members, including managerial responsibilities


Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and proficient advanced experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s), preferably Python
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Proven track record in system design, architecting and developing micro services, distributed systems and data-intensive applications
  • Advanced experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies
  • Strong coding skills in Python or similar programming language, API and backend development
  • Practical experience developing Production-scale Cloud-native AI/ML engineering systems in commercial environments
  • Familiarity with Kubernetes, MLOps, Docker and Cloud ML/Data engineering services
  • Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds


Preferred qualifications, capabilities, and skills

  • Experience working on recommendation systems, NLP services, or other AI/ML systems
  • Practical experience with Kubernetes, EKS, Docker, MLOps, GraphQL
  • Prior experience collaborating with data scientists
  • Familiarity with modern full-stack development


About Us
J.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 Team
The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

Top Skills

Python
The Company
London
289,097 Employees
Hybrid Workplace

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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JPMorganChase Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Bournemouth, GB
Glasgow, GB
London, GB

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