Lead Software Engineer

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Plano, TX
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $186k

$135k $227k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,050–$202,200.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer

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As a Lead Software Engineer within the Consumer and Community Banking Operations Dispute technology team, you will serve as a core technical contributor designing and deploying highly scalable, fault-tolerant distributed systems. You will lead full-stack development, drive long-term architecture strategy, and manage cloud modernization initiatives for high-volume financial transactions. Your daily work involves conducting technical designs, performing code reviews, and establishing observability frameworks for system reliability. You will utilize a technical stack including Java, Spring Boot, React JS, and AWS services like EC2, Lambda, and S3, alongside Terraform for infrastructure-as-code. Key responsibilities include implementing event-driven architectures using Kafka and SQS, ensuring security via OAuth2, and driving the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed within a complex financial services environment.

Skills

Java Spring Boot AWS Terraform React JS Microservices RESTful API Kafka SQS SNS RDS Lambda ECS EKS S3 CI/CD TDD OAuth2 JWT Splunk Dynatrace GraphQL Camunda Redux

What you'll do

Lead the design, development, and deployment of scalable, fault-tolerant distributed systems and cloud modernization initiatives.
Drive technical design decisions regarding technology stacks, architectural patterns, and infrastructure solutions.
Provide hands-on guidance to engineers on complex technical challenges and drive code review excellence.
Ensure code quality and security through automated testing, static analysis, and vulnerability scanning.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve delivery speed and code quality.
Establish and maintain comprehensive observability frameworks including logging, monitoring, and distributed tracing.
Provide L3 production support and serve as the technical escalation point for critical system issues.
Translate business requirements into scalable technical solutions and delivery roadmaps with cross-functional teams.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of experience building enterprise-grade applications.
Expert-level proficiency in Java, Spring Boot, RESTful API design, and microservices architecture for scalable distributed systems.
Strong experience with AWS services (EC2, ECS/EKS, Lambda, S3, RDS, SQS/SNS, API Gateway, CloudWatch) and Terraform.
Proficiency in front-end development with React JS, including Redux/Context API and modern JavaScript.
Proven experience implementing event-driven architectures using message queues (SQS/SNS) and streaming platforms like Kafka or AWS MSK.
Strong understanding of application security, including OAuth2/JWT, encryption, secrets management, and secure API design.
Demonstrated experience leading the use of approved AI-assisted software development tools and understanding responsible AI engineering workflows.
Expertise in CI/CD pipelines, TDD, application resiliency patterns, and observability tools like Splunk, Dynatrace, and CloudWatch.
Knowledge of the financial services industry, regulatory requirements, and IT systems (preferred).
Experience with Agentic AI solutions, machine learning model integration, or AI-powered automation frameworks (preferred).
Exposure to Camunda BPMN or other workflow orchestration engines (preferred).
Experience with GraphQL API design and implementation (preferred).

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