Senior Lead Software Engineer - Java / Message Bus

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As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 8+ years applied experience
• In-depth knowledge of the financial services industry and their IT systems
• Hands-on practical experience delivering system design, application development, testing, and operational stability along with proficient in all aspects of the Software Development Life Cycle
• Advanced in one or more programming language(s) and practical cloud native experience
• Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Strong proficiency in Java with appropriate concurrency tooling, and proven experience developing multi-threaded components and concurrency-safe services (thread pools, async pipelines, and lock-free structures where appropriate)
• Strong troubleshooting skills using profilers, thread dumps, heap analysis, and production telemetry, with a proven ability to diagnose and resolve concurrency issues such as deadlocks, race conditions, starvation, and memory visibility problems
• Design, implement, and operate event-driven architectures using a message bus (pub/sub, queues, streams), and optimize throughput and latency for message processing through batching, backpressure, partitioning, and consumer groups

Preferred qualifications, capabilities, and skills

• Proven experience with one or more message bus technologies such as: AMPS, Kafka, IBM MQ, TIBCO, RabbitMQ, ActiveMQ, etc.
• Implement observability for distributed processing (structured logs, metrics, tracing; lag/offset monitoring).
• Write robust automated tests (unit, integration, contract tests; concurrency and load tests).
• Familiarity with schema management (Avro/Protobuf/JSON Schema) and API/message versioning strategies.
• Experience with containerized deployments and orchestration (Docker, Kubernetes).
• Observability: OpenTelemetry, Prometheus/Grafana, ELK/Splunk
• CI/CD: GitHub Actions/Jenkins, automated integration environments