Senior Software Engineer III in JPMorganChase's Infrastructure Platform, based in Jersey City, NJ, onsite.

Design, implement, and troubleshoot software solutions with non routine approaches to solve complex technical problems.
Write secure, high quality production code and maintain algorithms that operate in sync with related systems.
Create architecture and design artifacts for intricate applications, ensuring alignment with established design constraints during development.
Gather, analyze, and visualize data from large, varied datasets and generate reports to support ongoing software improvements.
Identify hidden data patterns and issues early, using insights to enhance coding hygiene and system architecture.
Engage with software engineering communities of practice and participate in events exploring new technologies.
Foster an inclusive team culture emphasizing diversity, opportunity, and respect.
Champion AI assisted engineering practices across teams to boost code quality, delivery speed, and operational outcomes, establishing measurable validation standards and encouraging reuse of proven patterns within the SDLC/TLM toolchain.
Leverage the SDLC toolchain and approved AI powered development tools to scale automation and improve overall engineering value.

At least 3 years of hands-on infrastructure automation experience.
Practical experience across system design, application development, testing, and maintaining operational stability.
Proficiency in one or more programming languages.
Experience coding, debugging, and maintaining software in a large corporate environment with modern languages and database query capabilities.
Solid understanding of the Software Development Life Cycle.
Strong grasp of agile practices, including CI/CD, application resiliency, and security.
Knowledge of software applications and technical processes within relevant domains such as cloud, AI/ML, or mobile.
Proven experience leading the use of enterprise authorized AI assisted development tools for coding, code review, and testing, with the ability to set team expectations for AI output validation.
Commitment to responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, resiliency, and security, plus coaching of senior engineers on compliant usage patterns and controls.

Software Engineer III - Python Automation

Job Description