At a Glance
- Tasks: Lead the development of innovative ML solutions using Python and AWS.
- Company: Join J.P. Morgan Chase, a leader in tech innovation and diversity.
- Benefits: Enjoy competitive pay, health perks, and opportunities for remote work.
- Other info: Collaborative environment with a focus on continuous learning and career growth.
- Why this job: Make a real impact by engineering cutting-edge AI/ML applications.
- Qualifications: Experience in Python and cloud services, with strong problem-solving skills.
The predicted salary is between 80000 - 100000 £ per year.
J.P. Morgan Chase is seeking a Lead Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies.
Responsibilities
- Develop and maintain high-quality, secure applications using Python and AWS
- Create architecture and design deliverables, lead design and architecture reviews, promote best practice
- Integrate AIML solutions into complex, domain-specific operations processing systems
- Lead code reviews, design discussions, and agile planning sessions
- Collaborate with SRE and production monitoring teams to ensure system reliability and performance
- Contribute to software engineering communities of practice and technology events
- Embrace continuous learning, creative problem-solving, and a can-do attitude
Required Qualifications
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification
- Proven hands-on experience in Python application development
- Proven hands-on experience developing, debugging and maintaining production applications
- Solid understanding of software development best practices, including version control, testing, and CI/CD
- Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders
- Experience working on AIML systems and/or prior experience collaborating with data scientists
- Track record of designing, building, and delivering maintainable, extensible applications into production environments
Preferred Qualifications
- Experience with Cloud services, Infrastructure as Code (IaC, Terraform) and containerized application development
- Familiarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock
- Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems.
Lead Software Engineer – Python, AIML, Cloud employer: JPMorganChase
J.P. Morgan Chase is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Lead Software Engineer role. With a strong emphasis on continuous learning and professional development, employees are encouraged to engage in creative problem-solving while working on cutting-edge AI/ML projects in a dynamic environment. The firm also prioritises diversity and inclusion, ensuring that all team members feel valued and supported in their career growth.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer – Python, AIML, Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AIML and cloud solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AWS and machine learning. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Software Engineer – Python, AIML, Cloud
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Software Engineer role. Highlight your experience with Python, AWS, and AIML projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for machine learning and how you've collaborated with data scientists in the past. Let us know why you're excited about this opportunity at J.P. Morgan Chase.
Showcase Your Projects:Include links to any relevant projects or GitHub repositories that demonstrate your coding skills and experience with cloud-based frameworks. We love seeing practical examples of your work!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Stack
Make sure you’re well-versed in Python and AWS, as these are crucial for the role. Brush up on your knowledge of AIML systems and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in relation to software development best practices. Be ready to explain how you’ve tackled challenges in previous roles, particularly when collaborating with data scientists.
✨Understand the SDLC
Familiarise yourself with the Software Development Life Cycle (SDLC) and be prepared to discuss how you ensure applications are production-ready. Highlight any experience you have with CI/CD processes and version control.
✨Engage in Design Discussions
Be ready to lead or participate in design reviews during the interview. Share your thoughts on architecture and best practices, and don’t hesitate to ask questions about their current systems and processes to show your interest.
