Location: Jersey City, NJ, United States

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 Software Engineer II at JPMorgan Chase within the Corporate Data & Analytics Services Reference Data Engineering team, you will play a crucial role in an agile team dedicated to enhancing, designing, and delivering software components for the firm's cutting-edge technology products in a secure, stable, and scalable manner. As a developing member of the software engineering team, you will implement software solutions through the design, development, and technical troubleshooting of various components within a technical product, application, or system, while acquiring the skills and experience necessary for career growth in 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
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience  
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience working with data products from vendors such as Bloomberg, LSEG, IDC, S&P, and Moody's
• Proficiency in writing SQL queries for data analysis and L3 support, along with knowledge of basic Unix commands
• Ability to perform QA testing for user stories within the Sprint
• Proficiency in MS Excel functions, including Pivot tables
• Demonstrable ability to code in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience across the whole Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Exposure to Java and Python
• Familiarity with tools such as Git, Maven, FitNesse, Crucible, Sonar, and JIRA
• Experience with Agile development techniques, including Scrum and Test-Driven Development