At a Glance
- Tasks: Design and deliver innovative software solutions in a dynamic, agile environment.
- Company: Join JPMorgan Chase's cutting-edge Markets Research Technology team.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on learning and problem-solving.
- Why this job: Make an impact with AI/ML technologies and work on exciting cloud-native projects.
- Qualifications: Experience in software engineering, preferably with Python and cloud technologies.
The predicted salary is between 60000 - 80000 € 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 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 modelling 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, preferably Python.
- Familiarity with Cloud Data engineering services and MLOps/LLM technologies.
- 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.
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds.
- Adopts AI and agentic software development lifecycle.
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.
Software Engineer III - Python, Cloud, Data, AIML in Glasgow employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. As a Software Engineer III, you will have the opportunity to work with cutting-edge technologies in a collaborative environment that encourages innovation and professional growth. Our commitment to employee development, coupled with competitive benefits and a focus on work-life balance, makes this an ideal place for talented individuals looking to make a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer III - Python, Cloud, Data, 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Cloud, and AIML. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on coding challenges and system design questions. Practise with platforms like LeetCode or HackerRank to get comfortable with the types of problems you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Software Engineer III - Python, Cloud, Data, 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 relevant 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 any cool projects, especially those involving data engineering or AIML, make sure to mention them. We love seeing practical examples of your work and how you tackle challenges in real-world scenarios.
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 JPMorganChase
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Cloud services, and data engineering. Brush up on your knowledge of MLOps and AIML concepts, as these will likely come up during technical discussions.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your creative thinking and ability to deliver solutions under pressure.
✨Communicate Clearly
Practice explaining your design choices and technical decisions in a way that’s easy for non-technical stakeholders to understand. This role requires effective communication, so being able to convey complex ideas simply will set you apart.
✨Embrace Continuous Learning
Demonstrate your passion for learning by discussing recent technologies or methodologies you’ve explored. Mention any relevant communities or events you’ve participated in, showing that you’re proactive about staying updated in the fast-evolving tech landscape.
