Are you ready to shape the future of technology in a dynamic, collaborative environment? At JPMorganChase, you’ll have the opportunity to make a real impact by building and enhancing market-leading products. We value your expertise and encourage you to grow your career while solving complex challenges. Join us and be part of a team that values diversity, inclusion, and continuous learning.
As a Senior Lead Software Engineer at JPMorgan Chase in the Credit Trading - Realtime Risk team, you will play a pivotal role in delivering secure, stable, and scalable technology products. You will work closely with talented professionals to drive business impact through your technical expertise and leadership. You will help shape product design, influence technical decisions, and foster a culture of innovation and respect. Your contributions will support our mission to deliver trusted solutions in a fast-paced environment.
Job Responsibilities:
- Provide technical guidance and direction to engineering teams, contractors, and vendors
- Develop secure, high-quality production code and review and debug code written by others
- Drive decisions that shape product design, application functionality, and technical operations
- Serve as a subject matter expert in one or more technical focus areas
- Advocate for firmwide frameworks, tools, and best practices in the Software Development Life Cycle
- Influence peers and decision-makers to adopt leading-edge technologies
- Foster a team culture of diversity, opportunity, inclusion, and respect
Required Qualifications, Capabilities, and Skills:
- Practical experience delivering system design, application development, testing, and operational stability
- Advanced knowledge of Python, with exposure to AI tooling, Kubernetes, and public cloud platforms (AWS, GCP)
- Strong understanding of software applications and technical processes, with expertise in one or more technical disciplines (such as cloud, artificial intelligence, machine learning, or mobile)
- Ability to independently solve design and functionality challenges
- Hands-on cloud-native experience
- Background in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Knowledge of Front Office post-trade, risk, and P&L in the financial industry
Preferred Qualifications, Capabilities, and Skills:
- Experience designing and implementing distributed systems, microservices architectures, and event-driven platforms
- Familiarity with messaging systems (Kafka, AMPS, TibRV) and real-time data streaming
- Proficiency with relational and NoSQL databases, time-series data stores, and caching solutions
- Experience with SQL optimization and data modeling for trading and pricing workflows
- Demonstrated leadership of engineering teams, including mentoring, code reviews, and driving technical excellence
- Ability to collaborate with quantitative analysts, traders, and product stakeholders to deliver scalable solutions
- Strong organizational skills to manage competing priorities and communicate complex technical concepts to non-technical audiences