JPMorgan Chase
From JPMorgan Chase's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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 Asset & Wealth Management, 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
Actively engages with and leads a team of technologists, contractors and vendors to develop and deploy trading applications to the highest standards, ensuring alignment with business and functional requirements.
Designs and implements microservices in Java using streaming, non-blocking and reactive programming techniques, contributing secure, high-quality production code directly and reviewing and debugging code written by others.
Utilizes technologies such as Kafka, IBM MQ, Kubernetes (K8s), Redis cache, MSK and AWS to build scalable, efficient systems across the order lifecycle (order management, FIX routing, execution, allocation and booking), providing both strategic direction and hands-on support.
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 the adoption of domain-driven design principles and decisions that influence product design, application functionality and technical operations, ensuring the architecture supports the trading platform's multi-asset capabilities (equities, fixed income, mutual funds).
Oversees and contributes to technical documentation, including service APIs using Swagger/OpenAPI, ensuring robust logging, auditability, security and monitoring.
Leads API design sessions and guides the selection of design patterns for the team, while contributing directly to the design process.
Leads code review sessions and provides sign-off, ensuring high maintainability through TDD/BDD and demonstrating service scalability using mock testing frameworks, simulation and automated regression.
Serves as a function-wide subject matter expert in trading systems and FIX connectivity, and advocates for firmwide frameworks, tools and SDLC practices.
Mentors, grooms and guides junior team members, fostering their professional growth and development within the organization.
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.
Deep knowledge and expertise in Java programming, with a willingness to engage in hands-on coding.
Proven track record building distributed architecture systems, especially those involving large data volumes and real-time distribution.
Strong understanding of CI/CD, DevOps toolchains and a test-driven approach to agile delivery, with hands-on experience in these areas.
Experience with middle-tier data caching solutions (e.g., Redis, elastic, Apache Ignite) and messaging-based solutions (e.g., Kafka, IBM MQ).
Knowledge of modern architectures based on microservices, REST APIs, SQL and NoSQL stores and event-based architecture, with practical cloud-native experience.
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.
Ability to tackle design and functionality problems independently with little to no oversight.
Proven ability to mentor, groom and guide junior team members, fostering a collaborative and growth-oriented environment.
Hands-on experience with Spring framework (Spring Boot, WebFlux/Project Reactor) and AWS cloud services (EKS, MSK, Aurora).
Experience in trading systems across the order lifecycle (order, execution, allocation, booking), including knowledge of Order Management Systems (OMS) and Execution Management Systems (EMS); familiarity with the FIX protocol and engines such as QuickFIX/J is an added advantage
FINRA certification (e.g., Series 57 or 24) is an added advantage.
Ability to solve complex and mission-critical problems, both internally and externally, with a hands-on approach.
A constant learner and early adopter of leading-edge technologies and methodologies, actively seeking opportunities to apply new knowledge.
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