JPMorgan Software Engineer II - Core Engineering 

United Kingdom, England, London 

890618019

Job responsibilities

• Design, implement and develop scalable, performant microservices using software engineering best practices.
• Write secure and high-quality code with limited guidance
• Write automated unit tests, integration tests, etc.
• Apply technical knowledge to solve technical problems of basic complexity
• Apply knowledge of tools within the Software Development Life Cycle (SDLC) toolchain to reduce toil and add value by automation
• Manage and troubleshoot deployments from testing environments all the way to production.
• Interface with other engineering teams to ensure that features are added in a structured and coherent way.
• Translate generic product requirements into trackable tickets.
• Learn and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Add to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in at least one major programming language: Go, Python and/or Java
• Experience in developing automated tests as an integral part of the development cycle.

Preferred qualifications, capabilities and skills

• Experience with RESTful APIs
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of banking / finance.
• Experience with any cloud provider.
• Familiar with databases (SQL or NoSQL).
• Experience with client/server software architectures & networking, or microservice architectures.
• Experience using orchestration tools such as Kubernetes or Mesos.
• Experience with streaming architectures and tools (e.g. Kafka)