At a Glance
- Tasks: Design and develop scalable data pipelines and real-time streaming solutions using cutting-edge technologies.
- Company: Join JPMorgan Chase, a leader in the financial services industry with a focus on innovation.
- Benefits: Enjoy competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and leverage AI capabilities for enhanced data solutions.
- Why this job: Make a real impact by driving business insights and operational efficiency in a dynamic environment.
- Qualifications: Bachelor's or Master's in Computer Science or related field; experience in data engineering and software development.
The predicted salary is between 63000 - 77000 £ per year.
Description
As a skilled Senior Lead Software Engineer at JPMorgan Chase, within the Commercial and Investment Bank you will design, develop, and maintain scalable data pipelines and real-time streaming solutions, leveraging cloud technologies and distributed systems.
You will collaborate with cross-functional teams to deliver high-quality data solutions that drive business insights and operational efficiency across the execution platform.
- Job Responsibilities
- Design and develop robust, scalable data pipelines and streaming applications using Java and Apache Kafka, forming the backbone of real-time execution and market data flows.
- Integrate with the cloud by implementing and managing data solutions on AWS, including services such as S3, Lambda, EC2, RDS, and Glue.
- Process data at scale by developing ETL processes for both batch and real-time data ingestion, transformation, and storage.
- Optimize performance by monitoring, troubleshooting, and tuning data flows to ensure reliability and efficiency in a low-latency environment.
- Collaborate cross-functionally with data scientists, analysts, and fellow engineers to understand requirements and deliver production-grade solutions.
- Document thoroughly, maintaining clear records of data flows, architecture, and operational procedures.
- Uphold security and compliance, ensuring all data solutions adhere to the firm's security, privacy, and regulatory standards.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, validating outputs and handling data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted practices within delivery and operational routines (e. g., validation automation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.
- Required Qualifications, Capabilities, and Skills
Candidates should hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field, and bring experience in data engineering and software development roles.
The role demands strong proficiency in Java (core and advanced concepts), hands-on experience with Apache Kafka (producers, consumers, and stream processing), and a solid working knowledge of AWS cloud services including S3, Lambda, EC2, RDS, and Glue.
Proficiency in Python is also required.
Beyond core languages and platforms, the ideal candidate will have practical experience with the following:
- ETL tools and data pipeline frameworks
- SQL and No SQL databases
- Data modelling, data warehousing, and big data technologies
- CI/CD practices and version control (e. g., Git)
- Strong problem-solving and analytical skills, together with excellent communication and teamwork abilities, are essential for success in this collaborative, high-stakes environment.
- Preferred Qualifications, Capabilities, and Skills
- The following experience would distinguish a candidate, though it is not required:
- Containerization technologies (Docker, Kubernetes)
- Exposure to additional programming languages (Scala)
- Data governance and data quality best practices
- AWS certification or related credentials
- Electronic trading and market data feeds
- Familiarity with the Equities trading stack and Futures & Options market structure
- Trading data or FIX-adjacent data pipelines
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
Sr Lead Software Engineer - F&O Execution Data Team in London employer: JPMorganChase
JPMorganChase is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong commitment to diversity and inclusion, employees benefit from collaborative agile teams, extensive professional development opportunities, and the chance to work on cutting-edge technology products that shape the future of finance. Join us to be part of a culture that values your contributions and supports your growth.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Lead Software Engineer - F&O Execution Data Team in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JPMorganChase or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JPMorganChase.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like JPMorganChase.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JPMorganChase that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Sr Lead Software Engineer - F&O Execution Data Team in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at JPMorganChase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorganChase and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at JPMorganChase
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If JPMorganChase uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
