Software Engineer III - Scala Engineer

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Scala Engineer to design, develop, and troubleshoot secure software components within an Agile team. You will work on enterprise-scale products, building data-driven solutions while applying AI-assisted practices to improve quality and speed.

Ideal candidates are proficient in Scala (with Java or Python) and comfortable collaborating across distributed teams in a large corporate environment, following secure coding and CI/CD practices.

Qualifications

• Formal training or certification on software engineering concepts
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages in this order: Scala, Java, Python
• Strong Big-Data and database skills
• Experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.
• Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security

Responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes
• 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

Skills

Scala

Java

Python

Big Data

AWS

CI/CD

Education

Software engineering certification

Tools

AWS ECS

AWS EKS

AWS EMR

AWS Lambda

Job description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Scala Engineer within JPMorgan Chase's Corporate Technology, you will execute standard software solutions, design, development, and technical troubleshooting. you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages in this order: Scala, Java, Python
• Strong Big-Data and database skills
• Experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.
• Well-versed with data structures and algorithms and efficient coding practices
• Experience in developing, debugging, and maintaining code in a large corporate environment
• Ability to collaborate well with global teams in geographically distributed locations across time zones
• Self-starter, able to reach out to various team members, users and partner teams to get solutions delivered
• Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security
• 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

Preferred qualifications, capabilities, and skills

• Familiarity with Spark and distributed computing