At a Glance
- Tasks: Design and develop advanced AI products while collaborating with a talented team.
- Company: Join JPMorgan Chase, a global leader in financial services with a focus on innovation.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of an elite machine learning group driving innovation in the financial sector.
- Why this job: Make an impact by working on cutting-edge technology in a dynamic environment.
- Qualifications: Proficient in Python and AWS, with experience in modern programming languages and agile methodologies.
The predicted salary is between 70000 - 90000 £ per year.
- Principal Software Engineer - Full Stack Python/AWS
- London | Full time | Software Engineering
Role Overview
The Applied Innovation (AI) Engineering team is an elite machine learning group within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase.
The role focuses on designing, developing, deploying, and maintaining advanced AI products.
You will collaborate with software engineers, data engineers, and data scientists to deliver trusted solutions that support JPMC businesses and drive innovation.
- Job Responsibilities
- Collaborate with engineers, data scientists, and product owners to deliver products to production.
- Build and maintain data pipelines for analytics, model evaluation, and training (including versioning, compliance, and validation).
- Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches.
- Provide feedback and propose improvements to architecture governance practices.
- Create secure and high‑quality production code; review and debug code written by others.
- Maintain algorithms that run synchronously with appropriate systems.
- Proactively identify hidden problems and patterns in data to improve coding hygiene and system architecture.
- Provide technical guidance and direction to support the business, its technical teams, and vendors.
- Architect and govern agentic AI‑enabled engineering workflows to improve delivery speed, code quality, and operational outcomes at scale.
- Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-authorized AI‑assisted development and automation capabilities, to improve automation value at scale.
- Required Qualifications, Capabilities and Skills
- Proven programming/scripting skills in multiple modern languages including Python, Golang, Type Script, and similar technologies in an AWS/cloud environment.
- Experience with GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies.
- Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Current experience with agile methodologies such as CI/CD, Application Resiliency, and Security.
- Solid understanding of software applications and technical processes within a related technical discipline (e. g., synchronous and non-synchronous APIs, concurrency).
- Ability to create complex and scalable coding solutions using appropriate software design frameworks.
Morgan is a global leader in financial services and an equal‑opportunity employer.
We do not discriminate on the basis of any protected attribute and provide reasonable accommodations for applicants and employees.
Please visit our FAQs for more information about requesting an accommodation.
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Principal Software Engineer - Full Stack Python/AWS in London employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer - Full Stack Python/AWS in London
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We think you need these skills to ace Principal Software Engineer - Full Stack Python/AWS in London
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 PVH (Tommy Hilfiger/Calvin Klein).
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How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)
✨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 PVH (Tommy Hilfiger/Calvin Klein) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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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.
