Sr Lead Software Engineer- Java, Cloud with Infrastructure

JPMorganChase•Houston, TX

About The Position

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.

Requirements

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

Nice To Haves

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

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