Software Engineer III, AWM Technology

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Jersey City, NJ
Employment: Full-time
Posted: 15 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 $162k

$104k $208k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,750–$197,812.

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 · Software Engineer III, AWM Technology

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As a Software Engineer III - AWM Technology, you will join the Asset Management Sales Experience Platform Team to design and deliver trusted, scalable technology products. You will be responsible for developing and maintaining large-scale data integration solutions across complex enterprise systems to support asset management business needs. Your daily work involves building production-grade Python applications, developing microservices, and consuming RESTful APIs. You will utilize AWS cloud services including EC2, Lambda, S3, API Gateway, Glue, and CloudFormation to manage cloud-native infrastructure. Key responsibilities include participating in code reviews, managing CI/CD pipelines, and troubleshooting production issues. You must leverage enterprise-authorized AI coding tools to improve code quality and productivity while ensuring secure handling of data within the financial services domain.

What does a Software Engineer earn in New Jersey?

Median $161500 from 34 postings across 14 companies.

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Skills

Python AWS Microservices APIs RESTful APIs CI/CD TypeScript EC2 Lambda S3 API Gateway Glue CloudFormation Docker Kubernetes NoSQL Agile Salesforce Version Control

What you'll do

Design and implement large-scale data integration solutions across complex enterprise systems.
Build and maintain production-grade Python applications focused on reliability and scalability.
Develop and consume microservices and APIs to ensure seamless data flow and system interoperability.
Architect, deploy, and manage cloud-native applications using AWS cloud services.
Participate in code reviews, testing, and CI/CD pipelines to ensure high-quality software delivery.
Troubleshoot and resolve production issues to ensure minimal downtime and optimal performance.
Contribute to the design and evolution of data models for efficient storage and processing.
Utilize enterprise-authorized AI coding tools to improve code quality, refactoring, and unit test creation.

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 Python, TypeScript, Java, and database querying languages.
Proven experience with large-scale data integrations in complex enterprise environments.
Expertise in designing, building, and consuming microservices and RESTful APIs.
Solid experience with AWS cloud services including EC2, Lambda, S3, API Gateway, Glue, and CloudFormation.
Hands-on experience using enterprise-authorized AI-assisted software development tools to generate, validate, and refine code and documentation.
Knowledge of the Software Development Life Cycle, agile methodologies, CI/CD, and application resiliency.
Experience integrating Salesforce platforms (preferred).
Knowledge of data model design principles and experience implementing data models in relational or NoSQL databases (preferred).
Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes (preferred).
Understanding of financial services domain, particularly asset management workflows and data requirements (preferred).

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