At a Glance
- Tasks: Design and deliver innovative software solutions in a dynamic, agile environment.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborate with talented teams and embrace a culture of learning and creativity.
- Why this job: Make an impact by working on cutting-edge Cloud-native data and AIML projects.
- Qualifications: Proficient in Python with experience in software engineering and system design.
The predicted salary is between 80000 - 100000 £ 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 Commercial & Investment Bank's Markets Research Technology team, 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 AIML engineering, helping us industrialize AI/ML models at Production 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.
- 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 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.
- 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 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.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Senior Lead Software Engineer - Python, Data, Cloud, AIML in Glasgow employer: J.P. Morgan
At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our Commercial & Investment Bank's Markets Research Technology team. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge Cloud-native data and AIML projects, all while being part of a diverse and inclusive environment that values every individual's contribution. Join us in a location that not only supports your career aspirations but also provides a platform for meaningful impact in the financial services industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Software Engineer - Python, Data, Cloud, AIML in Glasgow
✨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 AIML. 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 your technical skills and problem-solving abilities. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Lead Software Engineer - Python, Data, Cloud, AIML in Glasgow
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Lead Software Engineer role. Highlight your experience with Python, data engineering, and cloud technologies, as these are key areas for us.
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your skills in software development and AIML. We love seeing how you've tackled challenges and delivered solutions in a production environment.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. We appreciate applicants who can communicate complex ideas simply.
Apply Through Our Website:Don't forget to submit your application through our official website. This ensures we receive all your details correctly and gives you the best chance to stand out in the process!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Cloud services, and AIML. Brush up on your knowledge of data engineering solutions and be ready to discuss how you've applied these skills in past projects.
✨Showcase Problem-Solving Skills
Prepare to demonstrate your problem-solving abilities by discussing specific challenges you've faced in software development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your creative thinking.
✨Communicate Clearly
Since the role involves conveying design choices to various stakeholders, practice explaining complex technical concepts in simple terms. This will show your ability to communicate effectively, which is crucial for collaboration within an agile team.
✨Emphasise Continuous Learning
Express your passion for learning and staying updated with emerging technologies. Share examples of how you’ve pursued professional development, whether through courses, certifications, or personal projects, to align with the company’s values of innovation and growth.
