Senior Lead Software Engineer - Fullstack
JPMorgan Chase · Plano, United States · 23d ago
Staff / Lead / PrincipalOn-siteSoftware Engineering
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Global Finance Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities:
As a Senior Lead Software Engineer at JPMorganChase within the Global Finance Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities:
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Coach and develop a high-performing team both locally and remotely
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads 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
- Collaborate with end users and product teams to ensure timely alignment of technical deliverables.
- Escalate project delivery risks to senior stakeholders across technology, product, and business, along with a mitigation plan.
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
- 10+ Years of building enterprise grade software products
- Expertise in Java, Spring Core, Spring Boot, REST APIs, JPA (OR) Python and relevant microservices framework.
- Expertise in JavaScript, Typescript, React and popular test framework for UI
- Proficiency in Object-Oriented Design (OOD) and Test Driven Development (TTD), with hands-on experience in test automation frameworks like Junit, Mockito, Playwright and Cucumber.
- Strong understanding of security standards such as OAuth, TLS, and Kerberos.
- Familiarity with log/metric collection and monitoring technologies like ELK stack, Prometheus, Grafana, AppDynamics, and Splunk.
- Proficiency in using Agentic AI Coding assistance such as Copilot, Claude, Windsurf, Gemini.
- Experience with event-driven processing using Kafka, and other AMQP framework.
- Hands-on experience with building CI/CD pipelines using Git, Maven, Jenkins, SonarQube, and Fortify.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Preferred qualifications, capabilities, and skills:
- Agile software development experience adhering to a product operating model.
- Experience in building enterprise solution focused on Data Analytics will be beneficial
- Experience in Finance Reporting will be beneficial
- Experience in building cloud-native web applications.
- Exposure to NoSQL databases such as Cassandra
- Experience in LLM based implementations will be beneficial
- Knowledge of Domain Driven Design, microservices patterns, and modern architectures.