At a Glance
- Tasks: Lead the design and development of innovative automation platforms using Java and Go.
- Company: Join JPMorgan Chase, a global leader in financial services with a focus on innovation.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
- Other info: Be part of a diverse team that values inclusion and offers excellent career growth.
- Why this job: Make a real impact by building resilient backend services and APIs that drive enterprise automation.
- Qualifications: Experience in Java, Go, and software engineering principles is essential.
The predicted salary is between 63000 - 77000 £ per year.
Join JPMorgan Chase as a Lead Software Engineer within Infrastructure Platforms, Enterprise Production Automation Services (EPAS), where you will help build the automation platforms that keep the firm running securely, reliably, and at scale. This role is ideal for an experienced Java and Go engineer who enjoys leading technical design, developing resilient backend services and APIs, and delivering enterprise automation capabilities across products such as AaaS, Ansible Automation Platform, AutoM8, event-driven automation, and AI-enabled service management.
You will work with technologies including Java, Spring Boot, Go, Kubernetes, Terraform, Ansible, PostgreSQL, CockroachDB, Redis, CI/CD tooling, public cloud services, and observability platforms to solve complex engineering challenges and improve operational stability across critical infrastructure services.
As a Lead Software Engineer at JPMorgan Chase within Infrastructure Platforms, Enterprise Production Automation Services (EPAS), you are an integral part of an agile engineering team that enhances, builds, and delivers trusted technology products in a secure, stable, and scalable way. EPAS delivers Day 2 operational automation, workflow orchestration, event-driven automation, AI/ML-enabled service management, and platform tooling that support Incident, Change, Problem, Crisis, and Production Management processes across the firm.
This role has a primary focus on Java and Go software engineering, building resilient backend services, APIs, distributed systems, automation capabilities, and platform tooling that enable enterprise-scale automation and operational stability.
About EPAS / Infrastructure Platforms
EPAS provides process and event-driven automation, user-driven run book automation, workflow orchestration, microservice APIs, and AI/ML capabilities as part of a wider Hyper Automation offering for Infrastructure Platforms. Key product areas include Automation as a Service (AaaS), Ansible Automation Platform (AAP), AutoM8, hybrid cloud automation, public cloud and mainframe enablement, SRE and observability capabilities, and AI-driven service management accelerators.
Job Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while ensuring design constraints are met by software code development.
- Lead the design and development of Java and Go-based services, APIs, automation tooling, and distributed platform capabilities across EPAS products such as AaaS, AAP, AutoM8, event-driven automation, and AI/ML-enabled service management.
- Engineer capabilities that support key EPAS initiatives, including NextGen Automation migration to AAP, AutoM8 UI and AppStore enablement, hybrid public cloud automation, mainframe automation, RHEL lifecycle upgrades, Moneta boot upgrades, and AI-driven automation use cases such as AaaS MCP, VersionUp, IntelliPatch, and AaaS Utilities.
- Drives decisions that influence the product design, application functionality, and technical operations and processes.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes.
- 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 and eliminates recurring operational issues by improving observability, automation, self-healing, service reliability, and recovery capability across EPAS platforms.
- Partners with product, architecture, SRE, AI/ML, operational risk, and customer engineering teams to translate enterprise automation needs into secure, scalable, production-ready software solutions.
- Adds to team culture of diversity, equity, inclusion, and respect.
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 experience in Java, Python and Go software engineering, including backend services, APIs, distributed systems, automation platforms, microservice frameworks, and operational tooling.
- Proficiency in Java, Spring Boot, Go idioms, concurrency patterns, testing, and production service design.
- Experience with automation and orchestration technologies, including Ansible, Ansible Automation Platform, event-driven automation, workflow orchestration, REST APIs, gRPC, messaging platforms, and resilient integration patterns.
- Experience across the whole software development life cycle, including coding standards, code reviews, source control, build processes, testing, and operations.
- Experience with CI/CD practices, automated quality gates, deployment automation, and release safety controls.
- Experience with Linux, containers, Kubernetes, public cloud platforms, hybrid cloud architectures, infrastructure as code, service telemetry, logging, metrics, tracing, and observability practices.
- Demonstrated experience leading effective use of approved AI-assisted software development tools.
- 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.
- Practical understanding of secure engineering, technology lifecycle management, vulnerability remediation, controls readiness, auditability, and operational resilience in regulated enterprise environments.
Preferred Qualifications, Capabilities, and Skills
- In-depth knowledge of the financial services industry and its technology controls, risk, and regulatory expectations.
- Experience leading technical modernisation, service decomposition, platform engineering, migration, or lifecycle initiatives.
- Caching technologies (e.g., Redis).
- Infrastructure as Code (e.g., Terraform).
- Resilient SQL and NoSQL databases and schema design (e.g., PostgreSQL, CockroachDB).
- Kubernetes and public cloud knowledge (e.g., CKAD, AWS certifications).
- Advanced knowledge of software applications and technical processes with considerable depth in one or more technical disciplines.
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.
Lead Software Engineer - Java, Go in Bournemouth 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 Lead Software Engineer - Java, Go in Bournemouth
✨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 - Java, Go in Bournemouth
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.
