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- Tasks: Design and deliver innovative software solutions in AI/ML, data, and cloud technologies.
- Company: Join JPMorgan Chase, a leader in financial services with a focus on technology.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Why this job: Make an impact by working on cutting-edge projects that shape the future of finance.
- Qualifications: 5+ years in software engineering with proficiency in Python and modern programming languages.
- Other info: Be part of a diverse team that values creativity, learning, and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include implementing critical technology solutions across various technical domains to support the firm's business objectives. You will engage in challenging projects involving Cloud-native data, backend engineering, and AI/ML engineering, contributing to the industrialization of AI/ML models at a production scale. This position is a hands-on engineering role, where experience with data science or machine learning modeling is beneficial but not mandatory.
Job responsibilities:
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps.
- Designs and implements data engineering solutions, leveraging modern big data technologies.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
- Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years proficient applied experience.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Proficient in coding in one or more languages (Python preferably).
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle.
- Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications.
- Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies.
- Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments.
- Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps.
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds.
Preferred qualifications, capabilities, and skills:
- Experience with data, AWS and AIML engineering in commercial settings.
- Experience working on Production scale AI/ML systems.
- Practical experience with Kubernetes, EKS, Docker, Terraform, MLOps.
- Prior exposure to LLMs, RAG, OpenSearch and vector databases.
- Prior experience collaborating with data scientists.
Software Engineer III - Python, AI/ML, Data, Cloud employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer III - Python, AI/ML, Data, Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI/ML, and Cloud technologies. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Software Engineer III - Python, AI/ML, Data, Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise, AI/ML projects, and any cloud experience you have. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about software engineering and how your background aligns with our needs. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical examples of your work, especially those involving data engineering or AI/ML solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward, and we’ll be able to review your application more efficiently. Don’t miss out on this opportunity!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Cloud services, and AI/ML concepts. Brush up on your knowledge of big data technologies and be ready to discuss how you've used them in past projects.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in software engineering and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your creative thinking and can-do attitude.
✨Engage with the Team Culture
Familiarise yourself with the company’s values around diversity, inclusion, and respect. Be prepared to share examples of how you’ve contributed to a positive team culture in previous roles, as this will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the technology stack they use, and their approach to AI/ML engineering. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
