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oracle

Software Engineer III - Backend / Data Engineer - Java, Python, Databricks

JPMorgan Chase
London, GBR
Full-time
Mid
Onsite
Discovered 2 weeks ago
awsazuredatabricksdynamodbgcpgradle

Full Job Posting

Job responsibilities

  • Partners with product and design teams to build functionality that meets core business outcomes.
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Develops secure high-quality production code, and reviews and debugs code written by others.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Apply agile methodologies and use collaborative tools for effective teamwork and knowledge sharing.
  • Implement and maintain unit and integration tests to ensure reliability and performance.
  • Participate in code reviews to improve quality and share knowledge.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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.
  • Adds to team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and applied experience in Core Java, J2EE, and Spring Boot with strong coding skills.
  • Good working knowledge of AWS, Databricks and Python.
  • Experience across the data lifecycle.
  • Strong proficiency using Spring framework and understanding of inversion of control and dependency injection.
  • Hands-on experience designing and implementing event-driven architectures with different message brokers, including Kafka.
  • Experience creating RESTful microservices and handling asynchronous data.
  • Experience integrating with both SQL Databases (Oracle) and No-SQL Databases (DynamoDB, MongoDB).
  • Advanced at SQL, including joins and aggregations.
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
  • Experience with Maven/Gradle.
  • Experience using version control with GitHub/Bitbucket.
  • Experience with modern testing tools (JUnit, Mockito, Spring Test Framework, Cucumber)
  • Hands-on practical experience delivering application development, testing, and operational stability.
  • Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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.

Preferred qualifications, capabilities, and skills

  • Develop workflows and ELT pipelines using Python and Databricks.
  • Familiarity with the Standardised data layer practices (Medallion architecture)
  • Familiarity with modern backend technologies including Java 21+.
  • Familiarity with Domain Driven Design as an approach to begin implementing system designs.
  • Proficiency with AI code assistants for rapid prototyping and end delivery of Backend functionality.
  • Experience with deploying Backend services to cloud providers (e.g. AWS, Google Cloud, Azure).
  • Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas

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