At a Glance
- Tasks: Lead software engineering projects, focusing on Cloud-native data and AIML solutions.
- Company: Join JPMorgan Chase's innovative Markets Research Technology team.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic environment with a strong focus on learning and collaboration.
- Why this job: Make a real impact in the financial sector with cutting-edge technology.
- Qualifications: Proficient in Python and experienced in system design and application development.
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.
Senior Lead Software Engineer - Python, Data, Cloud, AIML in Glasgow employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Lead Software Engineer, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals in a supportive environment that encourages continuous learning and career growth. Our commitment to employee development, coupled with our focus on delivering impactful solutions in the financial sector, makes this an ideal place for those seeking meaningful and rewarding employment.
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 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 projects, especially those involving Python, data engineering, or 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. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
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 CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise, cloud experience, and any AIML projects you've worked on. We want to see how you fit into 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 if they involve data engineering or AIML!
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’s super easy!
How to prepare for a job interview at JPMorganChase
✨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 share specific examples of how you've tackled complex technical challenges. Think about times when you had to think outside the box to deliver a solution, as this role requires innovative thinking and a hands-on approach.
✨Communicate Clearly
Practice explaining your design choices and technical decisions in a way that’s easy for non-technical stakeholders to understand. This will demonstrate your ability to bridge the gap between technical and non-technical teams, which is crucial for this position.
✨Emphasise Continuous Learning
Express your passion for learning and staying updated with emerging technologies. Share any recent courses, certifications, or personal projects that showcase your commitment to professional growth, especially in areas like AI/ML and big data.
