We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Markets & Post Trade 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. 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Manage priorities and set expectations when faced with multiple demanding tasks. Clearly articulates and communicates project status to stakeholders and management.
• 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.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Expert-level proficiency in developing, debugging, and maintaining applications using Java, Spring, Spring Boot, Microservices, MQ, Apache Kafka, REST Api, gRPC, Oracle, PostgresSQL, SQL
• Proficiency in observability tools such as Splunk, Datadog, Grafana.
• Demonstrated experience in cloud technologies such as AWS, Kubernetes, EKS, ECS, Lambda, Docker, and Helm.
• Experience in Test Driven Development with unit testing, acceptance testing using JUnit, Cucumber, Fitnesse
• Strong grasp of application resiliency, scalability and security principles.
• Comprehensive understanding of the Software Development Life Cycle and CI/CD pipelines
• Demonstrated experience working in an Agile environment on a Scrum team.
• Initiative and creativity in refining testing processes and improving quality.

Preferred qualifications, capabilities, and skills - Experience working with AI automation frameworks and integrating Large Language Models (LLMs) into software solutions, including prompt engineering, model evaluation, and deployment.

• Familiarity with LLM platforms and tools (such as OpenAI, Hugging Face, or similar).
• Strong ability to manage own workload and deliver to required deadlines.