About the position
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 JPMorgan Chase within the Payments 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. You will design, develop, and optimize high-performance, distributed transactional data systems that power mission-critical financial applications. You will build scalable, fault-tolerant, and low-latency platforms that handle millions of transactions per second, ensuring data consistency, high availability, and regulatory compliance.
Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, equity, inclusion, and respect
- Architect and implement distributed OLTP platforms using CockroachDB, PostgreSQL, MySQL, Oracle, or SQL Server to support high-throughput transactional workloads
- Design, develop, and optimize RESTful APIs for real-time transaction processing, ensuring efficient database interactions and minimal latency
- Develop and maintain distributed data pipelines for handling event-driven transactions with Apache Kafka, MQ, or Kinesis
- Collaborate with SRE/DevOps teams to deploy and monitor OLTP databases in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized deployments
Requirements
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Expertise in distributed relational databases such as CockroachDB, PostgreSQL, MySQL, or Oracle
- Experience with RESTful API development, including best practices for database access, connection pooling, and API rate limiting
- Proficiency in programming languages such as Java, Python, Go, or C++ for API development and data engineering tasks
Nice-to-haves
- Experience designing high-availability, multi-region OLTP architectures with active-active replication
- Hands-on experience with NoSQL transactional databases like DynamoDB
- Understanding of CQRS (Command Query Responsibility Segregation) and event sourcing in OLTP systems
- Prior experience in real-time payments, fraud detection, financial transaction processing
- Deep understanding of CAP theorem, consistency models, distributed locking, and replication strategies
- Strong knowledge of database security, access controls, encryption, and regulatory compliance
