At a Glance
- Tasks: Lead the development of AI and data engineering solutions in a collaborative environment.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for career growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Shape impactful products with cutting-edge technology and talented colleagues.
- Qualifications: Expertise in AI, data engineering, Java, and AWS required.
The predicted salary is between 63000 - 77000 £ per year.
Are you passionate about building technology that transforms the way businesses operate? Join us and lead the development of advanced AI and data engineering solutions within a collaborative, agile environment. At JPMorganChase, you’ll have the opportunity to shape impactful products, work with cutting-edge technologies, and grow your career alongside talented colleagues. We value your expertise and encourage you to bring your ideas to life as we redefine what’s possible in financial technology.
As a Lead Software Engineer in the Commercial & Investment Bank, you will design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You will play a key role in developing AI and data engineering solutions, integrating autonomous agents, and supporting critical business objectives. You’ll collaborate with cross-functional teams, drive innovation, and ensure our systems remain reliable and future-ready.
Job Responsibilities:
- Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems.
- Write secure, high-quality code in Java, applying best practices for AI and data engineering.
- Develop and maintain scalable data architectures and integrate AI models and autonomous agents into production systems.
- Utilize AWS services to build and deploy data and AI solutions.
- Troubleshoot and resolve technical issues related to data processing, model deployment, agent orchestration, and application stability.
- Learn and apply system processes, methodologies, and skills for secure, stable code and AI/data systems.
- Support production systems, including monitoring, incident response, and continuous improvement for AI and data applications.
- Design, develop, and integrate Agentic AI solutions into existing and new products.
- Collaborate with cross-functional teams to identify opportunities for Agentic AI applications.
- Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals.
- Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts and recent applied experience in software development.
- Deep expertise in AI and data engineering, AWS services, Java, and databases.
- Proficiency in Java.
- Experience with infrastructure-as-code tools like Terraform and familiarity with Github Copilot.
- Hands-on experience in application development, testing, and operational stability for AI and data-driven solutions.
- Experience developing, debugging, and maintaining code in a large corporate environment.
- Ability to code in one or more languages and build data pipelines, machine learning models, analytics applications, or autonomous agents.
- Experience across the Software Development Life Cycle, including model training, deployment, and monitoring.
- Exposure to agile methodologies, CI/CD, application resiliency, and security best practices.
- Strong knowledge of software applications and technical processes within AI, machine learning, data engineering, and cloud disciplines.
- Hands-on experience or strong understanding of Agentic AI concepts.
- Experience building or integrating AI agents for data processing, workflow automation, or decision support.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with modern front-end technologies and integrating AI/data solutions with user interfaces.
- Exposure to advanced cloud technologies and managed AI/data services.
- Experience with big data frameworks and data orchestration tools.
- Familiarity with frameworks and libraries for Agentic AI.
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.
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.
Lead Software Engineer - Java, AI, AWS 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 Lead Software Engineer - Java, AI, AWS 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 Lead Software Engineer - Java, AI, AWS 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.