Job Summary:
JPMorganChase is one of the oldest financial institutions, offering innovative financial solutions to a wide range of clients. As a Lead Software Engineer - Java within Asset & Wealth Management, you will enhance liquidity trading capabilities by developing high-quality backend services, collaborating with cross-functional teams, and applying AI and machine learning techniques to improve client outcomes.
Responsibilities:
• Collaborate directly with investment teams, traders, and portfolio managers to translate objectives into durable technical solutions.
• Design and deliver high-quality backend services in Java with a focus on scalability, resiliency, and low-latency performance.
• Drive engineering decisions that shape product design, application functionality, and operational readiness.
• Lead delivery within an agile team, supporting frequent releases and continuous improvement based on business needs.
• Develop secure production code and review code changes to raise quality, maintainability, and reliability.
• Influence technology choices by evaluating and applying modern architectures, patterns, and tooling where they add clear value.
• Provide technical guidance to engineers and partner teams to accelerate delivery and reduce operational risk.
• Champion strong software development practices including automated testing, continuous integration, and continuous delivery.
• Improve observability and incident readiness by leveraging analytics and AI/ML techniques for anomaly detection, alert quality, and faster triage.
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficiency in Core Java and object-oriented design with strong problem-solving skills.
• Demonstrated experience applying test-driven development and behavior-driven development, including mocking frameworks and automated test suites.
• Hands-on experience with inversion of control frameworks such as Spring or Guice.
• Experience with messaging and streaming technologies such as Kafka, IBM MQ, or Solace.
• Strong understanding of engineering fundamentals including continuous integration/continuous delivery, application resiliency, and secure coding practices.
• Proven ability to partner with cross-functional stakeholders and communicate complex technical topics clearly.
• Practical experience using data-driven methods (including applied AI/ML where appropriate) to improve decision-making, performance, or operational outcomes.
Preferred:
• Experience with cloud platforms and relevant certifications.
• Proficiency in Python for automation, data processing, or service development.
• Experience with digital assets technologies such as smart contracts, Ethereum, and digital wallets.
• Familiarity with responsible AI practices such as model evaluation, drift monitoring, and safe deployment patterns.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.