Software Engineer II - Data Engineer

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 and Investment Bank within Payments Intelligence group 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
• Adds to team culture of diversity, equity, 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
• Hands on experience with BigData and distributed computation systems (HDFS, Spark, Apache Flink, Databricks)
• Hands on experience with Java, Springboot and GraphQL
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Familiarity with Java, Spring boot and GraphQL
• Knowledge of open source frameworks
• Proficiency in automation and continuous delivery methods
• Experience with cloud platforms such as AWS services: EKS, Dynamo, OpenSearch, and MSK