DescriptionBe an integral part of an agile team thats 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.
Job 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.
Required qualifications capabilities and skills
- 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.
Preferred qualifications capabilities and skills
- 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.
Required Experience:
Senior IC