At a Glance
- Tasks: Lead software engineering and release management in a dynamic, regulated environment.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Enjoy competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborative team environment with a strong emphasis on inclusion and continuous improvement.
- Why this job: Make a real impact by ensuring the stability and security of critical analytics platforms.
- Qualifications: Experience in software development, cloud technologies, and risk management is essential.
The predicted salary is between 63000 - 77000 £ per year.
Build solutions that matter in a highly regulated environment where resiliency and security are as important as innovation. You’ll partner across engineering, cyber, risk, and resiliency to keep critical analytics platforms healthy and compliant while enabling teams to deliver change safely. This role offers breadth across cloud, data, and software engineering, plus the opportunity to lead through influence and strong execution. You’ll help reduce toil through automation and create space for engineers and data scientists to do their best work. Join a team that values inclusion, growth, and pragmatic problem-solving.
As a Lead Software Engineer, Application Owner and Release Manager in the Wholesale Credit Risk Technology Analytics team, you will own day-to-day governance, risk posture, and operational resiliency for the Wholesale Credit Risk Analytics application estate. You’ll keep the system-of-record accurate, guide work through firm controls, and ensure releases move to production safely with minimal disruption. You’ll operate at the intersection of engineering, cyber, resiliency, and risk—translating firm-wide mandates into clear, executable actions for application teams. You don’t need to write every line of code, but you understand the platform end-to-end and own outcomes. You’ll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics.
Job responsibilities
- Own application governance and records by maintaining accurate system-of-record information, certifications, and remediation workflows.
- Drive permit-to-operate activities by coordinating required inputs, re-certifications, and stakeholder responses to move changes safely into production.
- Monitor and remediate risk findings by assessing impact, prioritizing actions with engineering teams, and driving closure within agreed timelines.
- Approve access and control activities by enforcing least privilege, segregation of duties, and periodic access reviews in partnership with control owners.
- Own resiliency and recovery readiness by maintaining recovery plans, supporting resiliency events, and partnering on testing and evidence collection.
- Manage technology lifecycle work by identifying end-of-life or prohibited components and coordinating upgrades across dependencies and teams.
- Lead firmwide initiatives and non-functional tasks by maintaining a consolidated view, clarifying requirements, and tracking completion.
- Lead release management by aligning stakeholders, managing dependencies and risk, and overseeing readiness, deployment, and post-release validation.
- Develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.
- Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation.
Required qualifications, capabilities, and skills
- Bachelor’s degree or equivalent practical experience.
- Hands-on experience delivering system design, application development, testing, and operational stability in an agile environment.
- Proficiency in Python and Java.
- Proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices.
- Working knowledge of cloud-native delivery on Amazon Web Services (for example: object storage, compute, containers, and managed data processing services).
- Understanding of technology risk, controls, and compliance concepts, including identity and access management and audit readiness.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (for example: coding, code review, test acceleration, troubleshooting), including setting expectations to validate AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to coach engineers on safe, compliant adoption within delivery practices.
- Ability to understand an application end-to-end, including dependencies, data flows, and deployment topology.
- Strong organization, prioritization, and communication skills, with the ability to influence partners without direct authority.
- Comfort operating in ambiguity and translating broad mandates into an actionable backlog.
Preferred qualifications, capabilities, and skills
- Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment.
- Familiarity with Databricks and cloud data-lake patterns using object storage as a core data store.
- Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks, runtimes, and infrastructure-as-code.
- Understanding of resiliency concepts such as recovery time objectives, recovery point objectives, multi-zone design, and disaster recovery testing.
- Experience partnering with data science teams and business stakeholders to translate analytical needs into governed, compliant technology solutions.
- Exposure to using AI-assisted tooling to reduce operational toil while retaining strong human judgment and accountability.
- Domain awareness of wholesale or commercial credit risk analytics and modernization from monoliths to microservices.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Full time
Posting Date: 2026-07-09
Lead Software Engineer - Application Owner & Release Manager 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.
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We think this is how you could land Lead Software Engineer - Application Owner & Release Manager in Glasgow
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We think you need these skills to ace Lead Software Engineer - Application Owner & Release Manager 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.