At a Glance
- Tasks: Design and deliver scalable compute platforms using cutting-edge technologies.
- Company: Join a leading financial technology firm with a focus on innovation.
- Benefits: Competitive salary, health benefits, remote work options, and career development opportunities.
- Other info: Dynamic team environment with opportunities for growth and collaboration.
- Why this job: Shape the future of finance with advanced engineering and AI tools.
- Qualifications: 5+ years in software engineering with expertise in C++, Python, and Kubernetes.
The predicted salary is between 63000 - 77000 £ per year.
Overview
As a Sr.
Lead Software Engineer, you will design and deliver trusted, scalable compute platforms within the Commercial & Investment Bank Compute Runtime Platforms.
You’ll work in an agile team to build high-performance, secure software that supports multiple portfolios.
You’ll apply advanced engineering to optimize distributed systems, leveraging AI tooling to improve monitoring and management.
Your work shapes critical financial technology at scale and across cloud, HPC, and Kubernetes environments.
Responsibilities
- Design, implement, and optimize distributed computing solutions in HPC, Kubernetes, and cloud environments
- Leverage Generative AI and AI tooling to enhance monitoring, management, and optimization of large compute environments
- Collaborate with cross-functional teams to improve system performance and efficiency
- Develop and maintain software solutions using Python, C++, and Go
- Deploy and manage applications using Kubernetes and HPC/Grid Computing/Big Data technologies (Slurm, LSF, Spark, Ray, Symphony) in cloud environments
- Key requirements
- Formal training or certification on Software Engineering concepts
- 5+ years applied experience
- Expertise in C++, Python, Kubernetes (K8s), and HPC/Grid Computing technologies (Slurm, LSF, Symphony)
- Gen AI, agent framework and tools, observability tooling such as OTel
- Proven experience with cloud technologies and environments
- Strong problem-solving skills and the ability to work collaboratively in a team setting
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
- team collaboration
- problem-solving
- cross-functional communication
- C++
- Python
- Kubernetes (K8s)
Sr Lead Software Engineer - C++, Python, in London employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Lead Software Engineer - C++, Python, 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 JP Morgan Chase 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
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We think you need these skills to ace Sr Lead Software Engineer - C++, Python, 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 JP Morgan Chase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JP Morgan Chase 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 JP Morgan Chase
✨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 JP Morgan Chase 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.
