Software Engineer III – Python, Data, Cloud, AIML

J.P. MORGAN; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global leader in financial services is seeking a Software Engineer III in London to design and deliver cutting-edge technology products. The role includes collaborating on data engineering and AI/ML engineering solutions. Candidates should have strong coding skills, experience with Cloud services, and a background in system design. This position offers a dynamic and diverse work environment focused on professional growth.

Benefits

Diversity and inclusion programs

Professional growth opportunities

Qualifications

• Hands-on experience in system design, application development, testing, and operational stability.
• Experience developing, debugging, and maintaining code in large environments.
• Proven ability in system design and distributed systems.

Responsibilities

• Design and deliver secure, stable, and scalable technology products.
• Collaborate with agile teams to tackle complex technical challenges.
• Build engineering stack for Data and AIML products.

Skills

Python

Cloud services

Microservices

Data-intensive applications

Kubernetes

Big data technologies

Education

Formal training or certification in software engineering concepts

Tools

Docker

MLOps

AWS

Job description

Overview

Join us and take your software engineering career to new heights, working on cutting-edge technology in a collaborative environment. You'll have the opportunity to design and deliver market-leading products, leveraging Cloud-native and AI/ML engineering. We value your creativity, problem-solving skills, and passion for learning. Be part of a team that celebrates diversity, equity, and inclusion, and supports your professional growth. Your contributions will help shape the future of financial technology.

As a Software Engineer III at JPMorgan Chase as a part of the Markets Research Technology team, you will be responsible for designing and delivering secure, stable, and scalable technology products. Your role will involve hands-on work across data engineering, backend development, and AI/ML engineering, with a focus on industrializing models at a production scale. You will collaborate with agile teams to tackle complex technical challenges and support the firm's business objectives. Your contributions will have a direct impact on our technology stack and foster innovation within our team culture.

Job Responsibilities

• Execute software solutions, design, development, and technical troubleshooting
• Create secure, high-quality production code and maintain algorithms
• Produce architecture and design artifacts for complex applications
• Build engineering stack for Data and AIML products, including Cloud infrastructure, DevOps, and MLOps
• Design and implement data engineering solutions using modern big data technologies
• Contribute to software engineering communities of practice and technology events
• Foster a team culture of diversity, opportunity, inclusion, and respect
• Embrace learning, problem-solving, creative thinking, and a can-do attitude

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Hands-on experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages, including Python
• Experience developing, debugging, and maintaining code in large environments
• Knowledge of the Software Development Life Cycle
• Proven ability in system design, microservices, distributed systems, and data-intensive applications
• Experience with Cloud services, Infrastructure as Code, containerized application development, and big data technologies
• Practical experience developing production-scale Cloud-native data engineering solutions
• Familiarity with Cloud Data engineering services and MLOps
• Ability to convey design choices and communicate effectively with stakeholders

Preferred Qualifications, Capabilities, and Skills

• Experience with data and application migration to AWS
• Experience working on recommendation systems or other AI/ML systems
• Practical experience with Kubernetes, EKS, Docker, MLOps, and Spark
• Prior experience collaborating with data scientists

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

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.