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- Tasks: Lead software engineering projects, focusing on Cloud-native data and AI/ML solutions.
- Company: Join JPMorgan Chase, a leader in financial technology innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make an impact with cutting-edge technology in a dynamic, collaborative environment.
- Qualifications: 10+ years of software engineering experience, proficient in Python and system design.
- Other info: Embrace diversity and continuous learning in a supportive team culture.
The predicted salary is between 48000 - 72000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering, and Artificial Intelligence/Machine Learning engineering, helping us industrialize AI/ML models at production enterprise scale. This role is a technical hands-on engineering role. Experience with data science/ML modeling is advantageous but not essential to this role.
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 10+ 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, ECS, EKS) and MLOps stack.
- 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, preferably in financial sector.
- Experience working on recommendation systems, LLM applications or other AI/ML systems.
- Practical experience with Kubernetes, EKS, Docker, MLOps.
- Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases.
- Prior experience collaborating with data scientists.
Senior Lead Software Engineer - Python, Data, AIML, Cloud in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineer - Python, Data, AIML, Cloud in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Python, data engineering, and AI/ML. 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 technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like 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 Senior Lead Software Engineer - Python, Data, AIML, Cloud in London
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, cloud experience, and any AI/ML projects you've worked on. 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 goals. 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 if they involve data engineering or AI/ML solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant technologies mentioned in the job description. Be ready to discuss your experience with Cloud services, data engineering, and AI/ML models. Practising coding challenges can also help you feel more confident.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex technical problems in the past. Think about times when you had to think outside the box or innovate solutions. This will demonstrate your ability to handle the challenges of the role.
✨Communicate Clearly and Effectively
Since you'll be working with diverse stakeholders, practice explaining your design choices and technical concepts in simple terms. Being able to convey complex ideas clearly is crucial, so consider doing mock interviews with friends or colleagues.
✨Embrace the Company Culture
Familiarise yourself with JPMorgan Chase's values around diversity, inclusion, and respect. Be prepared to discuss how you can contribute to a positive team culture and how your experiences align with their mission. Showing that you fit into their culture can set you apart from other candidates.
