Senior Lead Software Engineer - Data & Analytics

Jobs in JS; Glasgow; On-site; GBP 90,000 - 140,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer within the Engineering Efficiency and Analytics group to design and deliver a firmwide metrics platform. You will turn complex engineering signals into clear, actionable insights that drive decisions at scale.

You will own end-to-end data pipelines, backend services, and modern dashboards, partnering with engineering leaders to define what good looks like and communicate it across the firm.

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience.

Responsibilities

• Design and implement modern web dashboards and end-to-end workflows transforming engineering data into clear insights.
• Build and operate reliable data pipelines ingesting and publishing metric datasets.
• Design, build, and maintain secure, scalable backend services and REST APIs.
• Define and validate metric logic, perform exploratory and trend analysis, translate findings into dashboards.
• Partner with engineering teams to align on performance benchmarks and metrics strategy.
• Implement CI/CD pipelines, automated testing, secure coding standards, and code reviews.
• Deploy and operate services on cloud and container platforms for reliability and scalability.
• Leverage AI coding assist tools while validating outputs via peer review and tests.

Skills

Full-stack engineering

Dashboard development

SQL data stores

CI/CD

Analytical metrics

Effective communication

Responsible AI

AI-assisted development tools

React

Education

Formal training or certification in software engineering

Tools

Databricks

AWS

Terraform

Kubernetes

PostgreSQL

Job description

We are looking for a curious, impact-driven engineer who thrives at the intersection of data, product, and platform — someone who can turn complex engineering signals into clear, compelling insights that drive decisions at scale. At JPMorganChase, we invest in the tools and talent that make great engineering possible, and this role sits at the heart of that mission.

As a Senior Lead Software Engineer at JPMorganChase within the Engineering Efficiency and Analytics team, you will design and deliver a firmwide metrics and analytics platform that brings visibility to engineering performance, delivery health, and the measurable impact of AI-assisted development. You will work end-to-end — from data pipelines and backend services to modern web dashboards — partnering with engineering leaders and teams across the firm to define what "good" looks like and make it visible. This is a broad, creative, T-shaped engineering role where your technical depth, analytical thinking, and storytelling ability will directly shape how the firm understands and improves its engineering capability.

Job responsibilities

• Design and implement modern web dashboards and end-to-end workflows that transform engineering data into clear, actionable insights for teams and leaders across the firm
• Build and operate reliable data pipelines that ingest, transform, validate, and publish metric datasets to power analytics experiences, integrating with platforms such as Databricks as needed
• Design, build, and maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interface
• Define and validate metric logic, perform exploratory and trend analysis, and translate findings into compelling dashboard narratives that inform engineering decisions
• Partner with engineering teams, leaders, and stakeholders to align on performance benchmarks and translate shared goals into a coherent metrics strategy
• Implement CI/CD pipelines, automated testing, secure coding standards, and code review practices to deliver production-grade, maintainable software
• Deploy and operate services on cloud and container platforms, ensuring reliability, scalability, and operational excellence
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Full-stack engineering capability with demonstrated experience building dashboards and web experiences end-to-end, spanning frontend, back-of-frontend, and backend integration
• Experience working with SQL databases and analytical data stores at scale, including data warehouse concepts and query optimization
• Demonstrated engineering practices including CI/CD pipeline implementation, automated testing, and code review standards
• Analytical capability to develop and validate metrics — including exploratory analysis, cohort and trend analysis, and anomaly detection — and translate results into clear visual narratives
• Effective communication and stakeholder partnership skills, with the ability to align technical and non-technical audiences around shared goals
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs

Preferred qualifications, capabilities, and skills

• Experience with React and TypeScript building performant, accessible, data-rich dashboards and visualizations
• Backend service and REST API development experience, including authentication and authorization, versioning, error handling, and performance optimization
• Experience deploying and operating services on cloud or container platforms (e.g., AWS, Kubernetes, or equivalent enterprise platforms)
• Experience integrating with Databricks to produce curated, dashboard-ready datasets, including layered data product patterns (e.g., bronze/silver/gold or equivalent) with clear contracts and quality controls
• Hands-on experience with AWS services (e.g., ECS, S3, SQS, SNS, Kafka), PostgreSQL, and infrastructure-as-code tools such as Terraform
• Prior experience building metrics or insight products for engineering productivity, developer experience, or technology transformation programs
• Interest or experience in UX and data visualization design principles

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 stride 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 ourFAQsfor more information about requesting an accommodation.

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.