Leads end-to-end software engineering delivery across the SDLC for modern application platforms. Designs, builds, tests, releases, and supports scalable cloud-native solutions using Java, React, AWS, and AI-assisted engineering practices. Drives observability, automation, resiliency, root-cause analysis, and production improvements while mentoring engineers and promoting responsible AI usage, secure development, and operational excellence.
Introductory Marketing Language:
Join us and be at the forefront of technology innovation, where your expertise drives impactful solutions. You’ll collaborate with talented professionals in a dynamic, agile environment that values your ideas and encourages growth. At JPMorganChase, we empower you to push boundaries, develop your skills, and make a real difference. Experience a culture that celebrates diversity, fosters inclusion, and supports your career journey.
Job Summary:
As a Senior Lead Software Engineer in the Corporate Sector, you will play a pivotal role in an agile team dedicated to building and delivering trusted, market-leading technology products. You will leverage your deep technical expertise to solve complex challenges across multiple technologies and applications. Your leadership will drive business impact, foster innovation, and ensure the stability and scalability of our solutions. You’ll help shape our team culture and contribute to our mission of delivering excellence.
Job Responsibilities:
- Lead end-to-end engineering delivery across the full software development lifecycle for modern application platforms.
- Leverage technologies such as Java, React, AWS, and related cloud-native services and tooling.
- Own the “you build it, you own it” model—design, build, test, release, and support solutions, ensuring performance and continuous improvement.
- Collaborate with cross-functional stakeholders to perform root cause analysis, implement production changes, and drive resiliency improvements.
- Drive operational excellence by enhancing observability, alerting, automation, and post-incident reviews.
- Mentor and guide engineers through coaching, design and code reviews, and best-practice reinforcement.
- Drive adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.
- Apply strong knowledge of the SDLC/toolchain and AI-assisted automation to scale repeatable patterns and improve productivity.
- Develop and support AI/ML-enabled approaches for troubleshooting and incident resolution.
- Act as a collaborative team player and engineering leader, communicating clearly and coordinating effectively.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and applied experience (follow local country guidance as applicable).
- Hands-on experience in system design, application development, testing, and operational stability.
- Advanced proficiency in one or more programming languages.
- Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools, with the ability to set team expectations for validating AI outputs.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling, and compliance with resiliency and security standards.
- Ability to independently solve design and functionality problems.
- Practical experience with cloud-native technologies.
Preferred Qualifications, Capabilities, and Skills:
- Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
- Advanced applied experience in software engineering (as applicable by region).
- Familiarity with AI/ML-enabled troubleshooting and incident resolution approaches.
- Experience driving strategic change and continuous improvement within engineering teams.
If you’re ready to make an impact and grow your career in a supportive, innovative environment, we invite you to join us at JPMorganChase.
About UsJ.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. Visit our FAQs for more information about requesting an accommodation.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
Similar Jobs
Financial Services
Leads a cloud platform engineering team, overseeing people development, technical strategy, scalable system delivery, operational reliability, incident response, and engineering standards. Partners with senior leaders to align platform roadmaps with business and regulatory objectives, drives cross-team collaboration, and manages technical risks. Establishes governance and adoption practices for enterprise-authorized AI-assisted development and SDLC automation, emphasizing security, responsible AI, resiliency, measurable outcomes, and reuse of technology assets.
Top Skills:
AWSCrossplaneGCPKubernetesTerraform
Financial Services
Leads site reliability engineering for market risk technology services, defining reliability requirements, availability targets, observability strategies, and service-level objectives. Designs resilient systems, debugs complex platform dependencies, automates operational improvements, and promotes safe AI-assisted reliability workflows. Mentors engineers, champions SRE adoption, contributes to engineering communities, and guides production readiness, testing, monitoring, security, auditability, and operational decision-making.
Top Skills:
AWSGCPGrafanaJavaOpentelemetryPrometheusPython
Financial Services
Leads software engineering for secure, scalable banking technology products. Provides technical guidance, develops and reviews production code, drives system design and operational stability, and serves as a subject matter expert. Establishes responsible AI-assisted engineering practices, validation standards, automation, and software development lifecycle governance. Requires advanced programming, cloud-native experience, independent problem-solving, and leadership across engineering teams.
Top Skills:
Ai-Assisted Software Development ToolsCloud-Native TechnologiesJavaJavaScriptNoSQLReactSQL
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
