Lead Software Engineer - Public Cloud Engineering

Lead Software Engineer - Public Cloud Engineering

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Lead an agile team to create innovative software solutions in a secure and scalable environment.
  • Company: Join JPMorganChase, a leader in financial services with a focus on technology.
  • Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
  • Other info: Dynamic workplace with a culture of collaboration and continuous improvement.
  • Why this job: Make a real impact by driving cutting-edge technology in the financial sector.
  • Qualifications: Experience in software engineering and proficiency in programming languages like Python or Java.

The predicted salary is between 80000 - 100000 £ per year.

As a Lead Software Engineer at JPMorganChase within Public Cloud Engineering – Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
  • Develops secure and high-quality production code, and reviews and debugs code written by others.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
  • Promotes engineering excellence through knowledge-sharing (e.g., communities of practice), and contributes to a culture of inclusion, respectful collaboration, and continuous improvement.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil).
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced in one or more programming language(s) (e.g., Python, Java, Go, Rust).
  • Demonstrated experience leading effective use of enterprise-approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Practical cloud native experience.

Preferred qualifications, capabilities, and skills

  • Experience with compliance as code and automated controls testing.
  • Proficiency with enterprise-authorized AI coding assistants.

Lead Software Engineer - Public Cloud Engineering employer: Jpmorgan Chase & Co.

At JPMorganChase, we pride ourselves on being an exceptional employer, particularly for our Lead Software Engineers in Public Cloud Engineering. Our dynamic work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development while working on cutting-edge technology solutions. Located in EMEA/LATAM-Brazil, we offer a supportive environment that values diversity and inclusion, ensuring that every team member can contribute to meaningful projects that drive the firm's success.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Software Engineer - Public Cloud Engineering

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Lead Software Engineer - Public Cloud Engineering

Software Engineering Concepts
System Design
Application Development
Testing
Operational Stability
Python
Java

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 Jpmorgan Chase & Co..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jpmorgan Chase & Co. 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 Jpmorgan Chase & Co.

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 Jpmorgan Chase & Co. 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.