Software Engineer III (Java, Spark, AWS)

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience in designing & implementing software solutions using Big Data, Event driven & AWS tech stack.
• Required hands-on experience on Java, Spark, AWS, Kafka.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proficient in coding 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.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

• Exposure to Databricks.