Software Engineer III - Java and Kafka

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
• 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.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 3+ years applied experience  
• Hands-on experience in enterprise software development, modern testing tools (JUnit, Mockito, Spring Test Framework)  
• Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks; experience in building high-performance, latency-sensitive Java applications
• Experience in 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 with event-promoten architecture and distributed messaging technologies (Kafka)  
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices  
• Hands-on practical experience in system design, application development, testing, and operational stability; proficient in coding in one or more languages. Consolidate bullet points in this section
   

Preferred qualifications, capabilities, and skills:

• Hands on experience another statically compiled language like Golang, Rust
• Experience with gRPC and Google Protocol Buffers, caching technologies, e.g. Redis
• Experience with  infrastructure as code software, e.g. Terraform,  designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB) 
• Familiarity with front-end technologies, like ReactJs. Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications)