Sr Lead Software Engineer - Java, Kafka, AI, Securities Experience,

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 the Commercial & Investment Bank technology team, 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.

We are seeking an experienced Vice President to lead our technology team focused on US Listed Options. This is a hands-on technologist role that combines advanced technical expertise with strategic leadership. The ideal candidate will possess deep experience in software engineering, securities processing, financial services, and AI-based development, and will be actively involved in designing, developing, and delivering technology solutions while also providing vision and direction for the team. The role demands strong leadership, technical excellence, and the ability to partner effectively across technology, operations, business, and external vendors.

Job responsibilities

• Provide vision and direction for engineering teams responsible for US Listed Options platforms, driving transformation and technical excellence.
• Actively participate in the design, development, and deployment of mission-critical applications and systems. Lead by example in coding, architecture, and solution delivery, ensuring best practices and high standards are maintained.
• Lead the migration and modernization of legacy systems, championing adoption of cloud-native architectures, event-driven technologies (Java, Spring, AWS, Kafka, Python, SQL/NoSQL, Apache Spark, containerization), and AI-based solutions.
• Drive the adoption and integration of AI technologies to enhance platform capabilities, accelerate project delivery, and support business objectives.
• Serve as a subject matter expert in US Listed Options clearance, securities processing, and financial services, ensuring solutions meet evolving business and operational requirements.
• Collaborate closely with business stakeholders, operations, and vendor partners to deliver robust, scalable, and innovative solutions.
• Mentor and develop high-performing engineering teams, fostering a culture of technical excellence, continuous improvement, and accountability.
• Oversee the end-to-end delivery of technology solutions, ensuring alignment with business objectives, timelines, and quality standards.
• Ensure ongoing support for deployed applications, including monitoring, troubleshooting, and resolving production issues to maintain system stability and performance.
• Ensure all platforms and solutions adhere to regulatory, risk, and compliance requirements.
• Manage relationships with third-party vendors, ensuring alignment with strategic goals and service level agreements.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering* concepts and 5 years applied experience
• Hands on experience in software engineering, with experience as a senior leadership role. Deep background in securities processing and financial services; 
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) such as Java and Python and Spring Framework
• Experience with SQL and NoSQL databases
• Experience with messaging technologies such as Kafka, MQ
• Practical cloud native experience such as AWS
• Experience with containerization and orchestration technologies, such as Kubernetes and Docker
• Experience with Apache Spark for large-scale data processing
• Experience designing and integrating RESTful APIs and microservices
• Experience with AI-based development, including integrating machine learning models and AI-driven solutions into enterprise platforms

• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Experience in US Listed Options