below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$158,437–$207,750.
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.
As a Software Engineer III - Full-stack Java and AWS Engineer, you will join the Corporate-Cloud Foundational Services team to design, develop, and deliver secure, scalable software components. You will execute software solutions, maintain production code, and troubleshoot technical problems while considering upstream and downstream system implications. Your daily work involves leveraging enterprise-authorized AI coding assist tools for code generation, refactoring, and unit test creation, ensuring all outputs meet strict security and performance standards. You will utilize Java, Python, Terraform, and database querying languages within a full Software Development Life Cycle. The role focuses on building stable applications within a public cloud environment, specifically AWS, while applying knowledge of CI/CD, application resiliency, and microservices to solve complex technical problems in a large corporate ecosystem.
What does a Software Engineer earn in Texas?
Median $178175 from 187 postings across 44 companies.
Develop, debug, and maintain secure, high-quality production code and algorithms.
Design and troubleshoot software components with consideration for upstream and downstream technical implications.
Use enterprise-authorized AI coding tools to generate, refactor, and document code while validating outputs for security.
Apply automation tools within the Software Development Life Cycle to improve delivery value.
Review and debug code written by other team members to ensure quality and stability.
Analyze large, diverse data sets to identify problems and inform secure application development decisions.
Guide peers on the safe and responsible use of AI tools within engineering workflows.
What we're looking for
Formal training or certification on software engineering concepts and 3+ years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code in large corporate environments using Java, Python, Terraform, or database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools to create, validate, and refine outputs for correctness and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs and outputs.
Experience across the whole Software Development Life Cycle.
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security.
Experience with Cloud Technologies, particularly Public Cloud and AWS.
Expertise in modernization in cloud platforms from large, complex ecosystems (preferred).
Experience with microservices and event-driven architectures (preferred).