Software Engineer III - Python, Pyspark, GKP, Postgress

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ is seeking an experienced software engineer to design, develop, and troubleshoot complex applications. The role emphasizes secure production code, AI-assisted practices, and strong SDLC governance.

You will engage with vendors and internal teams to evaluate architectures and drive high-impact technical outcomes, leveraging a cloud-native, Agile environment.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s).
• Experience in PySpark, AWS, Databricks, Gen/Agentic AI skills, PostgreSQL, Elasticsearch.
• Demonstrated experience leading effective use of AI-assisted software development tools with validation of AI outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• In-depth knowledge of the financial services industry and their IT systems.
• Practical cloud native experience.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and outcomes, with validation standards.
• Applies knowledge of SDLC tools, including AI-assisted development and automation capabilities, to improve automation value.
• Identifies opportunities to automate remediation and improve operational stability of software applications and systems.
• Leads evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and applicability.

Skills

Software engineering concepts

System design

Application development

AI-assisted engineering

CI/CD

Agile methodologies

Secure coding

PySpark

AWS

Databricks

Gen/Agentic AI

PostgreSQL

Elasticsearch

REST API

Education

Formal software engineering training or certification

Tools

Databricks

AWS

Elasticsearch

Job description

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems


• Develops secure and high-quality production code, and reviews and debugs code written by others


• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.


• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.


• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience


• Hands-on practical experience delivering system design, application development, testing, and operational stability


• Advanced in one or more programming language(s)


• Experience in Pyspark, AWS, Databricks, Gen/Agentic AI skills, MCP, postgress, Elastic search, RESTAPI


• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.


• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices


• Proficient in all aspects of the Software Development Life Cycle


• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


• In-depth knowledge of the financial services industry and their IT systems


• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience in Java, React, GKP, Kafka