Lead Software Engineer - Java, AWS, Databricks in Glasgow

Lead Software Engineer - Java, AWS, Databricks in Glasgow

Glasgow Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead innovative software projects and enhance secure, scalable solutions with cutting-edge tech.
  • Company: Join JPMorganChase, a leader in financial services with a focus on creativity and collaboration.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth in a supportive environment.
  • Other info: Work in a fast-paced environment with excellent career advancement opportunities.
  • Why this job: Make a real impact while advancing your skills in a dynamic, forward-thinking team.
  • Qualifications: Advanced Java skills and experience with AI-assisted development tools are essential.

The predicted salary is between 63000 - 77000 £ per year.

Description

Are you ready to push the boundaries of what’s possible?

At JPMorgan Chase, you’ll have the chance to make a real impact while growing your skills and advancing your career.

We value creativity, collaboration, and a passion for technology.

Join a team where your ideas matter and your contributions drive meaningful change.

Experience the rewards of working in a supportive, forward-thinking environment.

Job Summary

As a Lead Software Engineer in the Corporate Technology team, you will play a key role in delivering trusted, market-leading technology products.

You will work within an agile team to enhance, build, and support secure, stable, and scalable solutions.

You will help shape the team culture and drive impactful results across multiple technical areas.

Your expertise will support the firm’s business objectives and foster innovation.

Job Responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
  • Develop secure, high-quality production code, and review and debug code written by others.
  • Drive 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.
  • Apply 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.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Lead 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.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and advanced applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced in one or more programming languages, preferrably Java.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e. g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team 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 working in big data environments with structured, semi-structured, and unstructured data.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Advanced knowledge of Java programming language.
  • In-depth knowledge of software applications and technical processes in areas such as cloud, AI, machine learning, or mobile.
  • Ability to tackle design and functionality problems independently with minimal oversight.
  • Proficiency in application, data, and infrastructure architecture disciplines.
  • Proficiency in cloud-native microservices architecture, design, and implementation.
  • Proficiency in event-driven architecture and application containerization.
  • Experience building applications on public cloud platforms like AWS, GCP, and Azure, with a preference for AWS.
  • Proficiency in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services.

Lead Software Engineer - Java, AWS, Databricks in Glasgow employer: JPMorganChase

J.P. Morgan Europe Limited is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of the financial sector. Employees benefit from comprehensive growth opportunities, competitive compensation, and a commitment to professional development, all while contributing to impactful consumer banking initiatives. Working here means being part of a prestigious institution that values insights and empowers its team members to drive meaningful change.

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Contact Details:

JPMorganChase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Software Engineer - Java, AWS, Databricks in Glasgow

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 Lead Software Engineer - Java, AWS, Databricks in Glasgow

Java
AWS
Databricks
Software Development Life Cycle (SDLC)
AI-assisted software development tools
Agile methodologies
CI/CD

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.