senior full stack Java developer role with CICD automation
Share
Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
About the Role
Engineer Software Full Stack designs develops and delivers scalable software solutions that enable scalable highly available and secure systems across the enterprise. This role partners closely with architects product owners data engineers and privacy stakeholders to build services and platforms that support regulatory compliance while maintaining performance and scalability. The engineer leads technical design and implementation of UI microservices APIs and event-driven architectures and contributes to system architecture automation and reliability. Success is measured by the quality scalability and reliability of delivered software adherence to privacy and compliance requirements and the ability to influence technical outcomes across addition to backend services this role designs and builds responsive accessible and performant user interfaces delivering end-to-end features across UI API and data layers.
What Youll Do
Design and build responsive accessible and performant user interfaces using React
Deliver end-to-end features across UI API and data layers ensuring consistency in design performance and security
Develop and maintain automated UI and end-to-end test suites using Playwright or equivalent
Design develop test and deploy high-quality software solutions using Java and Spring Boot
Build scalable high-performing RESTful APIs and microservices aligned with privacy and compliance requirements
Implement and support event-driven and message-based architectures using Kafka or similar technologies
Build scalable ETL frameworks using object-oriented Python and Java programming languages
Collaborate with cross-functional teams including product architecture data and privacy to deliver compliant solutions
Contribute to system and application architecture including service design data flows and integration patterns
Participate in code reviews agile ceremonies and technical design discussions
Troubleshoot and resolve complex software issues across development and production environments
Develop and maintain CI/CD pipelines automation and deployment workflows
Write and maintain clear technical documentation including design documents and system specifications
Continuously evaluate and adopt modern technologies to improve system performance reliability and maintainability
Daily use of AI productivity tools (Claude Cursor) is required across the software development lifecycle -including design API and microservice development code generation code review testing debugging deployment documentation and production support.
Design build and operate AI agents that automate software engineering tasks such as generating boilerplate code for new microservices creating unit and API tests analyzing logs triaging incidents and supporting CI/CD pipelines.
Build and integrate AI-enabled capabilities into backend services and APIs using foundation models prompt engineering and retrieval-augmented generation (RAG) patterns.
Implement audit logging observability and human-in-the-loop controls for AI agents and AI-assisted workflows running in Tier-0 production environments.
What Youll Bring
Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience
6 years of software engineering experience building and supporting enterprise-grade applications
Strong experience working in Agile or Scrum-based development environments
Demonstrated ability to work independently on complex technical problems while collaborating across teams
Strong analytical problem-solving and communication skills
Demonstrated experience building production user interfaces with React
Familiarity with foundation models prompt engineering retrieval-augmented generation (RAG) and AI agent development applied to full-stack application development including enterprise reusable solutions
Must Have Skills
Strong experience with JavaScript/TypeScript and React for building production user interfaces
Proficiency with messaging and event-driven systems such as Kafka
Experience with frontend build tooling package management and component-based design
Experience with end-to-end and UI test automation using Playwright or equivalent
Proficiency with front-end technologies including HTML CSS JavaScript and Webpack
Strong experience with Python object-oriented programming Java and Spring Boot
Experience building scalable REST APIs and microservices
Experience working with JSON and XML including schema validation
Experience with Git GitLab and CI/CD automation
Hands-on experience working on Unix OS and proficient in shell scripting
Experience developing test automation using tools such as JUnit or Karate
Proficiency with API testing tools such as Postman
Experience working with relational databases and writing complex SQL
Experience with containerization and orchestration tools such as Docker and Kubernetes
Strong experience using observability and telemetry tools such as Splunk AppDynamics or Grafana
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models prompt engineering retrieval-augmented generation (RAG) and AI agent development.
Nice to Have
Experience with Snowflake or cloud-based data platforms
Network Domain experience
Experience working in cloud-native environments (Azure AWS or GCP)
Experience contributing to system architecture or platform-level design decisions
Engineer Software Full Stack designs develops and delivers scalable software solutions that enable scalable highly available and secure systems across the enterprise. This role partners closely with architects product owners data engineers and privacy stakeholders to build services and platforms that support regulatory compliance while maintaining performance and scalability. The engineer leads technical design and implementation of UI microservices APIs and event-driven architectures and contributes to system architecture automation and reliability. Success is measured by the quality scalability and reliability of delivered software adherence to privacy and compliance requirements and the ability to influence technical outcomes across addition to backend services this role designs and builds responsive accessible and performant user interfaces delivering end-to-end features across UI API and data layers.
What Youll Do
Design and build responsive accessible and performant user interfaces using React
Deliver end-to-end features across UI API and data layers ensuring consistency in design performance and security
Develop and maintain automated UI and end-to-end test suites using Playwright or equivalent
Design develop test and deploy high-quality software solutions using Java and Spring Boot
Build scalable high-performing RESTful APIs and microservices aligned with privacy and compliance requirements
Implement and support event-driven and message-based architectures using Kafka or similar technologies
Build scalable ETL frameworks using object-oriented Python and Java programming languages
Collaborate with cross-functional teams including product architecture data and privacy to deliver compliant solutions
Contribute to system and application architecture including service design data flows and integration patterns
Participate in code reviews agile ceremonies and technical design discussions
Troubleshoot and resolve complex software issues across development and production environments
Develop and maintain CI/CD pipelines automation and deployment workflows
Write and maintain clear technical documentation including design documents and system specifications
Continuously evaluate and adopt modern technologies to improve system performance reliability and maintainability
Daily use of AI productivity tools (Claude Cursor) is required across the software development lifecycle -including design API and microservice development code generation code review testing debugging deployment documentation and production support.
Design build and operate AI agents that automate software engineering tasks such as generating boilerplate code for new microservices creating unit and API tests analyzing logs triaging incidents and supporting CI/CD pipelines.
Build and integrate AI-enabled capabilities into backend services and APIs using foundation models prompt engineering and retrieval-augmented generation (RAG) patterns.
Implement audit logging observability and human-in-the-loop controls for AI agents and AI-assisted workflows running in Tier-0 production environments.
What Youll Bring
Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience
6 years of software engineering experience building and supporting enterprise-grade applications
Strong experience working in Agile or Scrum-based development environments
Demonstrated ability to work independently on complex technical problems while collaborating across teams
Strong analytical problem-solving and communication skills
Demonstrated experience building production user interfaces with React
Familiarity with foundation models prompt engineering retrieval-augmented generation (RAG) and AI agent development applied to full-stack application development including enterprise reusable solutions
Must Have Skills
Strong experience with JavaScript/TypeScript and React for building production user interfaces
Proficiency with messaging and event-driven systems such as Kafka
Experience with frontend build tooling package management and component-based design
Experience with end-to-end and UI test automation using Playwright or equivalent
Proficiency with front-end technologies including HTML CSS JavaScript and Webpack
Strong experience with Python object-oriented programming Java and Spring Boot
Experience building scalable REST APIs and microservices
Experience working with JSON and XML including schema validation
Experience with Git GitLab and CI/CD automation
Hands-on experience working on Unix OS and proficient in shell scripting
Experience developing test automation using tools such as JUnit or Karate
Proficiency with API testing tools such as Postman
Experience working with relational databases and writing complex SQL
Experience with containerization and orchestration tools such as Docker and Kubernetes
Strong experience using observability and telemetry tools such as Splunk AppDynamics or Grafana
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models prompt engineering retrieval-augmented generation (RAG) and AI agent development.
Nice to Have
Experience with Snowflake or cloud-based data platforms
Network Domain experience
Experience working in cloud-native environments (Azure AWS or GCP)
Experience contributing to system architecture or platform-level design decisions
