At a Glance
- Tasks: Build resilient AI/ML systems and enhance their reliability and scalability.
- Company: Join JPMorganChase, a leader in financial services and innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on diversity and inclusion.
- Why this job: Shape the future of AI while working with cutting-edge technology.
- Qualifications: Experience in software engineering, Python, and cloud-native practices required.
The predicted salary is between 72000 - 88000 £ per year.
Are you passionate about building resilient, scalable systems that power the future of AI? At JPMorganChase, we're pushing the boundaries of what's possible with artificial intelligence and machine learning — and we need engineers like you to help us do it reliably, securely, and at scale.
As a Software Engineer III at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading technology products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities — with operational excellence at the core.
Responsibilities:
- Design and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast-growing demands.
- Own NFRs and develop tooling for observability, security, resilience, infrastructure management and operations excellence.
- Build and maintain scalable infrastructure to support the deployment and operation of large-scale AI platforms and apps.
- Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems.
- Participate in on-call rotations and escalation workflows, debug and solve issues in a production environment, take full ownership of problems, develop solutions.
- Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develop secure high-quality production code, and review and debug code written by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity while validating outputs through peer review, automated testing, and secure coding standards.
- 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.
- Add to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and proficient applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced proficiency in programming with Python.
- Proficiency in all aspects of the Software Development Life Cycle.
- Experience with infrastructure-as-code and cloud-native delivery practices, including tools such as Terraform, containers, Kubernetes, CI/CD pipelines, and automated deployment workflows.
- Experience in designing and developing large-scale distributed systems and cloud-native architecture.
- Experience building large scale infrastructure and cloud-native delivery practice in Google Cloud, AWS, or Azure and Terraform.
- Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services.
- Systematic problem-solving and troubleshooting skills in a complex system.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Preferred qualifications, capabilities, and skills:
- Prior experience working in AI Cloud Infrastructure.
- Prior experience developing GenAI Apps or AI Agents.
- Previous experience as an Infrastructure or Platform Software Engineer in a dynamic technology company or startup.
- Self-managed, self-motivated with strong sense of ownership, urgency, and drive.
Software Engineer III - AI/ML Platform Reliability in Glasgow employer: JP Morgan Chase
At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly within our Global Financial Crimes Compliance team in EMEA. Our commitment to diversity and inclusion fosters a collaborative work culture where employees are empowered to grow and develop their skills in a dynamic environment. With access to comprehensive training and the opportunity to engage with a wide range of financial services, you will find meaningful and rewarding career advancement in a company that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer III - AI/ML Platform Reliability 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 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
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 JP Morgan Chase.
✨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 JP Morgan Chase.
✨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 JP Morgan Chase 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 Software Engineer III - AI/ML Platform Reliability in Glasgow
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.
