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Software Engineer III - Java

JPMorgan Chase
Bournemouth, GBR
Full-time
Mid
Onsite
Discovered 2 weeks ago
awsgolanggrpcjavakuberneteslinux

Full Job Posting

Job responsibilities

  • Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices
  • Write secure, high-quality code and automated tests
  • Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code
  • Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems
  • Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies
  • Collaborate effectively as part of a global team
  • Provide out of hours application support and coordinate of Production releases
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • 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

Required qualifications, capabilities, and skills

  • Formal training or certification on Java concepts and proficient applied experience.
  • Understanding of Java 17+ fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks
  • Experience with modern testing tools (JUnit, Mockito, Spring Test Framework)
  • Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB )
  • Familiarity with maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services
  • Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders
  • Understanding of the full software development lifecycle and agile approach
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Preferred qualifications, capabilities, and skills

  • Hands on experience another statically compiled language like Rust, GoLang or C++
  • Experience in building high-performance, latency-sensitive Java applications
  • Experience with OSI Layer 7 proxies (e.g. Envoy )
  • Experience with gRPC and Google Protocol Buffers
  • Experience with infrastructure as code software, e.g. Terraform
  • Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications)

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