At a Glance
- Tasks: Develop innovative AI/ML solutions and enhance market-leading technology products.
- Company: Join JPMorganChase, a leader in tech innovation and agile teamwork.
- Benefits: Competitive salary, health benefits, remote work options, and career advancement opportunities.
- Other info: Dynamic team culture with a focus on professional growth and cutting-edge projects.
- Why this job: Make a real impact in AI while pushing the limits of technology.
- Qualifications: Strong Python skills and experience in cloud-native environments required.
The predicted salary is between 63000 - 77000 £ per year.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer at JPMorganChase within AMDP (AIML Data Platforms), you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for developing and supporting technology solutions across multiple technical areas in support of the firm’s business objectives.
Job responsibilities:
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
- Works closely with product managers and data strategy professionals to advance the firm’s agenda in AI for Data.
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Required qualifications, capabilities, and skills:
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Strong Python Architecture and Development skills. Must also be familiar with developing solutions in a containerized environment.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Practical cloud native experience.
Preferred qualifications, capabilities, and skills:
- Any background in graph databases (especially RDF stores like AWS Neptune).
- Working familiarity with Gen AI Engineering tools/frameworks - capable of designing/building pipelines.
Software Engineer III – AI/ML Data Platforms (Python, Cloud Native) employer: JPMorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer III – AI/ML Data Platforms (Python, Cloud Native)
✨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 Software Engineer III – AI/ML Data Platforms (Python, Cloud Native)
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.
