At a Glance
- Tasks: Lead the development of a cutting-edge KYC and Risk Assessment Data Platform.
- Company: Join JPMorgan Chase, a top global financial institution with a focus on innovation.
- Benefits: Enjoy competitive pay, career growth, and the chance to work with advanced technologies.
- Other info: Dynamic role with opportunities to influence technology strategy across teams.
- Why this job: Make a real impact in finance by shaping AI-driven engineering practices.
- Qualifications: Expertise in software development, AI systems, and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ 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 Principal Software Engineer at JPMorgan Chase within the Corporate Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team. Your role involves enhancing, building, and delivering a trusted market-leading Global Know Your Customer (KYC) and Risk Assessment Data Platform in a secure, stable, and scalable way.
This role is suited to a senior engineer who has hands-on skills to lead across multiple teams, defining architecture, engineering practices and standards, and delivering high-impact software that scales.
Job Responsibilities:- Architects and implements complex, scalable engineering frameworks and solutions using modern software design principles.
- Develops secure, high-quality production code for data-intensive applications and platforms, and reviews and mentors other engineers.
- Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions.
- Designs and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments.
- Establishes engineering standards for LLM-based applications RAG pipelines, embedding workflows, vector store integrations, and model serving ensuring safety, observability, and reproducibility at scale.
- Drives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies.
- Serves as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems.
- Advises cross-functional teams on technological matters within your domain of expertise.
- Influences leaders and senior stakeholders across business, product, and technology teams on technical strategy and direction.
- Architects and governs agentic AI-enabled engineering workflows to improve delivery speed, code quality, and operational outcomes at scale.
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation at scale.
- Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale.
- Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures.
- Expert in one or more programming languages, particularly Python and/or Java.
- Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering).
- Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools, and orchestration frameworks.
- Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance.
- Practical cloud-native experience (AWS, Azure, or GCP).
- Ability to present and effectively communicate with senior leaders and executives.
- Demonstrable experience designing and leading adoption of agentic AI-enabled development practices across teams.
- Strong understanding of responsible AI use and control expectations in engineering workflows.
- Experience with modern data platforms such as Databricks or Snowflake.
- Deep hands-on experience with Spark/PySpark and other big data processing technologies.
- Expertise in open-source table formats and catalog services such as Apache Iceberg.
- Experience with LLM orchestration frameworks and model serving infrastructure.
- Familiarity with AI evaluation and observability practices.
- Understanding of agentic design patterns and how to constrain agent autonomy in high-stakes financial workflows.
- Awareness of AI risk and regulatory considerations relevant to AI use in financial decision-making.
Corporate KYC : Principle Software Engineer - Executive Director in Glasgow employer: Jpmorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Corporate KYC : Principle Software Engineer - Executive Director 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 Jpmorgan Chase & Co. 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 Jpmorgan Chase & Co..
✨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 Jpmorgan Chase & Co..
✨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 Jpmorgan Chase & Co. 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 Corporate KYC : Principle Software Engineer - Executive Director 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 Jpmorgan Chase & Co..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jpmorgan Chase & Co. 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 Jpmorgan Chase & Co.
✨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 Jpmorgan Chase & Co. 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.
