At a Glance
- Tasks: Lead the development of innovative KYC solutions and mentor fellow engineers.
- Company: Join JPMorgan Chase, a global leader in financial services with a rich history.
- Benefits: Enjoy competitive pay, health coverage, tuition reimbursement, and mental health support.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Shape the future of finance with cutting-edge technology and impactful projects.
- Qualifications: Experience in software engineering, AI/ML systems, and strong programming skills required.
The predicted salary is between 63000 - 77000 £ per year.
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
Senior Lead Software Data Engineer – Corporate Know Your Customer in Glasgow employer: JP Morgan Chase
At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly within our Global Financial Crimes Compliance team in EMEA. Our commitment to diversity and inclusion fosters a collaborative work culture where employees are empowered to grow and develop their skills in a dynamic environment. With access to comprehensive training and the opportunity to engage with a wide range of financial services, you will find meaningful and rewarding career advancement in a company that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Software Data Engineer – Corporate Know Your Customer in Glasgow
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JP Morgan Chase or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JP Morgan Chase.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like JP Morgan Chase.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JP Morgan Chase that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Lead Software Data Engineer – Corporate Know Your Customer in Glasgow
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at JP Morgan Chase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JP Morgan Chase and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at JP Morgan Chase
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If JP Morgan Chase uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
