Senior Lead Software Data Engineer – Corporate Know Your Customer

JPMorgan Chase & Co.; Auchentibber; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

On-site wellness & health centers

Job summary

JPMorgan Chase & Co. in the United Kingdom seeks a Senior Lead Software Engineer to advance secure, scalable data platforms supporting KYC and risk assessment. You will lead multiple teams, define architecture, and set engineering standards to deliver high-impact software for global portfolios.

You will mentor engineers, design durable frameworks, and drive adoption of modern AI/ML and data engineering practices while collaborating with senior leaders to shape the technology landscape.

Qualifications

• Practical experience delivering system design, application development, testing, and operational stability at enterprise scale.
• Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments.
• Proficiency in one or more programming languages, particularly Python and/or PySpark.
• Advanced knowledge of software application development and technical processes in cloud, AI/ML, or data engineering.
• Experience in large-scale data processing, microservices, API design, and orchestration frameworks.
• Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures.
• Familiarity with observability tools and frameworks.
• Practical cloud-native experience (AWS, Azure, or GCP).
• Ability to communicate effectively with senior leaders and executives.
• Commitment to inclusive, collaborative teamwork.
• Strong problem-solving and analytical skills.

Responsibilities

• Develop secure, high-quality production code for data-intensive applications and platforms.
• Mentor and review work of other engineers to promote best practices.
• Create durable, reusable software frameworks and patterns leveraged across teams.
• Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls.
• Establish engineering standards for LLM-based applications, ensuring safety and reproducibility.
• Drive adoption of advanced technical methods and industry-aligned product development practice.
• Advise cross-functional teams on technological matters within your domain.
• Apply knowledge of tools within the Software Development Life Cycle to enhance automation value.
• Collaborate with colleagues across the organization to deliver impactful solutions.
• Lead architectural decisions and engineering practices for scalable software.
• Foster a culture of innovation and continuous improvement.

Skills

Python/PySpark

Cloud / AI/ML / Data eng

Large-scale data processing

Microservices

API design

Relational & NoSQL databases

Observability tools

Cloud providers (AWS/Azure/GCP)

Communication with leadership

Tools

Databricks

Snowflake

Apache Iceberg

Spark

LLM orchestration frameworks

Job description

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Senior Lead Software Engineer at JPMorgan Chase in the Corporate Sector Data Engineering team, you will promote the development of secure, scalable, and innovative solutions for our Global Know Your Customer (KYC) and Risk Assessment Data Platform. You will lead across multiple teams, define architecture and engineering standards, and deliver high-impact software that supports the firm’s portfolios. Your advanced technical skills and collaborative mindset will help us achieve best-in-class outcomes. You will play a key role in shaping our technology landscape and fostering a culture of excellence.

Job responsibilities

• Develop secure, high-quality production code for data-intensive applications and platforms
• Mentor and review work of other engineers to promote best practices
• Create durable, reusable software frameworks and patterns leveraged across teams
• Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls
• Establish engineering standards for LLM-based applications, ensuring safety and reproducibility
• Drive adoption of advanced technical methods and industry-aligned product development practice
• Advise cross-functional teams on technological matters within your domain
• Apply knowledge of tools within the Software Development Life Cycle to enhance automation value
• Collaborate with colleagues across the organization to deliver impactful solutions
• Lead architectural decisions and engineering practices for scalable software
• Foster a culture of innovation and continuous improvement

Required qualifications, capabilities, and skills

• Practical experience delivering system design, application development, testing, and operational stability at enterprise scale
• Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments
• Proficiency in one or more programming languages, particularly Python and/or PySpark
• Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering
• Experience in large-scale data processing, microservices, API design, and orchestration frameworks
• Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures
• Familiarity with observability tools and frameworks
• Practical cloud-native experience (AWS, Azure, or GCP)
• Ability to communicate effectively with senior leaders and executives
• Commitment to inclusive, collaborative teamwork
• Strong problem-solving and analytical skills

Preferred qualifications, capabilities, and skills

• Experience with modern data platforms such as Databricks or Snowflake
• Hands-on expertise with Spark/PySpark and big data processing technologies
• Knowledge of open-source table formats and catalog services such as Apache Iceberg
• Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints
• Familiarity with AI evaluation and observability practices for LLM workloads
• Understanding of agentic design patterns and how to constrain agent autonomy in financial workflows
• Interest in emerging technologies and continuous learning

Employer Description

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Organization Description

Our 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.