Senior Lead Software Engineer - Platform/Data Architect

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 [insert LOB or sub LOB], 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 OLTP 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...