Sr Lead Software Engineer- Java, Cloud with Infrastructure

As a Senior Lead Software Engineer at JPMorganChase within Capital Markets in the Commercial & Investment Bank (CIB), 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. You will help pioneer the design and development of a next-generation execution platform used by thousands of users globally. 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. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

• Designs, builds, and maintains efficient, reusable, and reliable Java code and services

• 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.

• Drives decisions that influence product design, application functionality, and technical operations and processes

• Serves as a function-wide subject matter expert in one or more areas of focus

• Ensures best possible performance, quality, and responsiveness of high-throughput, low-latency applications

• Identifies bottlenecks and bugs, and devises solutions to these problems; improves resiliency and operational stability

• Helps maintain code quality, organization, and automation (testing, CI/CD, and deployment practices)

• Builds and evolves distributed, event-driven asynchronous systems and microservices leveraging Spring Boot

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• 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

• 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; experience coaching senior engineers/leads on compliant usage patterns and controls.

• Expert-level knowledge of Core Java, Spring boot, distributed systems, AWS or Cloud and strong understanding of modern backend engineering patterns

• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, distributed systems, event-driven architectures)

• Experience with databases such as Oracle and/or Postgres

• Experience with container platforms such as Docker/Kubernetes/AWS

• Experience with messaging technologies (e.g., Solace/Kafka) and caching technologies such as Hazelcast and Redis

Preferred qualifications, capabilities, and skills

• Advanced frontend development experience with React
• Experience with search platforms such as Elasticsearch
• Experience building and operating large-scale, mission-critical services with strong observability and performance engineering practices