Software Engineer II Java/Python Developer with Databricks snowflake

Short Job Description

Join our agile team as a Java Developer Software Engineer II at JPMorgan Chase, enhancing and delivering secure, scalable technology products.

Intro Marketing Language

We have an exciting opportunity for you to advance your software engineering career as part of our innovative team.

Job Summary

As a Java Developer Software Engineer II at JPMorgan Chase within the Corporate technology team, 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.

• Design and develop complex and scalable coding frameworks using appropriate software design methodologies.
• Produce secure, high-quality production code and review and debug code written by peers.
• Identify opportunities to eliminate or automate the remediation of recurring issues to enhance operational stability.
• Contribute to the engineering community by advocating for firmwide frameworks, tools, and practices.
• Develop innovative software solutions and resolve technical problems with unconventional approaches.
• Contribute to a team culture of diversity, equity, inclusion, and respect.

• Formal training or certification on software engineering concepts and 2+ years applied experience.
• Demonstrated hands-on experience with Java, Spring/Spring Boot, Python, and SQL-related technologies.
• Proven ability in delivering system design, application development, testing, and ensuring operational stability.
• Proficient in DevOps practices, automated testing, and continuous integration/deployment tools such as Jenkins, Docker, and Kubernetes.
• Hands-on experience with data lake or data warehouse technologies, including Databricks, Java, Python, and Spark.
• Demonstrated proficiency in software applications and technical processes within a technical discipline, such as cloud computing (AWS, PCF, etc.).
• Proficiency in databases such as Oracle, CockroachDB or DynamoDB, as well as other similar databases.
• Comprehensive understanding of all aspects of the Software Development Life Cycle.
• Advanced knowledge of agile methodologies, including CI/CD, application resiliency, and security.

• Exposure to AWS cloud, Terraform, Databricks/Snowflake through hands-on experience or certification.
• Advanced proficiency in other programming languages, such as Java and Python.