Lead Software Engineer – Automation with Java and AWS

Job Description

As a Vice President Software Engineer at JPMorgan Chase within our Cloud Quality Engineering team you will drive the strategy execution and delivery of automated quality solutions for our cloud-native platforms. You will collaborate with cross-functional teams to ensure our systems are scalable reliable and secure supporting the firms commitment to excellence and client success.

Job Responsibilities

• Lead and inspirea team of software and QA engineers fostering a culture of innovation collaboration and continuous improvement.
• Define and executethe quality engineering strategy for cloud-native applications aligning with firmwide technology goals.
• Architect and overseethe development of automated test frameworks and solutions using Java and Spring Boot.
• Drive adoptionof service virtualization (Wiremock Hoverfly Lisa) and REST API test automation across the organization.
• Guide technical deliveryfor UI/mobile automation database ETL and batch testing processes.
• Integrate AWS services(EC2 S3 Lambda etc.) and Kafka messaging into enterprise automation pipelines.
• Establish performance testing standardsand oversee execution using JMeter BlazeMeter or similar tools.
• Partner with senior stakeholdersin Technology and Business to embed automation into CI/CD workflows and deliver high-quality solutions.
• Represent the teamin technical forums contributing to best practices and technology strategy across the firm.

Required Qualifications Capabilities and Skills

• Bachelors or Masters degree in Computer Science Engineering or related field.
• 11 years of software engineering experience with a focus on automation cloud and quality.
• Demonstrated leadership experience managing engineering teams and driving strategic initiatives.
• Deep expertise in Java (Spring Boot) AWS cloud services and REST API automation.
• Experience with service virtualization tools (Wiremock Hoverfly Lisa).
• Experience with one or more of the following: Kafka messaging performance testing (JMeter BlazeMeter) UI/mobile automation (Selenium Appium) database/ETL/batch automation CI/CD tools (Jenkins Git).
• Excellent communication stakeholder management and collaboration skills.

Preferred Qualifications Capabilities and Skills

• Python programming experience.
• Exposure to AWS Bedrock Sagemaker and LLM model workflows.
• Familiarity with agentic workflows (Langgraph Langchain) and MCP servers.
• Experience with Docker Kubernetes or other containerization technologies.
• Knowledge of cloud monitoring/logging (CloudWatch ELK stack).
• Understanding of cloud security best practices.

JPMorgan Chase is an equal opportunity employer committed to diversity and inclusion. If you are passionate about leading teams driving innovation and delivering reliable systems at scale we invite you to join our Cloud Quality Engineering team and help shape the future of technology at the firm.