Business Data Intelligence is one of the fastest growing segments of the software industry. Business Data Intelligence Tools enable analytics and executives to access critical information for strategic decision-making in a rapidly changing business environment. Our focus is on building a Next Generation Self-Service Data Discovery and Analytics platform, catering to users unfamiliar with database schemas and technology. This team offers opportunities to develop and operate a suite of large-scale, integrated cloud services within a broadly distributed, multi-tenant cloud environment.
We are seeking a full stack software engineer to join our growing team in the United States with the following skills:
- BS or higher degree in Computer Science, Computer Engineering, or equivalent; Masters preferred
- 6+ years of hands-on development experience
- Deep knowledge of cloud-native distributed system development, with OCI and AWS preferred
- Experience with microservices, event-driven architecture, and distributed systems design patterns
- Expertise in software architecture, cloud platform services, scalability, disaster recovery, and troubleshooting performance issues
- Proficiency in Java and web technologies, including building RESTful APIs with Java, Spring Boot, JPA, JDBC, and experience with GraphQL APIs
- Strong skills in SQL, RDBMS database design, and web UI technologies like Oracle JET, JavaScript, TypeScript, CSS, HTML5, AngularJS, ReactJS, Knockout.js, AJAX
- Experience with automation systems, CI/CD tools (Jenkins, TeamCity, Docker, Kubernetes), and log-centric tooling
- Ability to translate concepts into user flows, wireframes, prototypes, and UX designs using tools like Figma, Sketch, InVision, etc.
- Experience with agile development methodologies
Qualifications disclaimer and benefits information are included in the original posting. The role is classified as Career Level - IC3.
Responsibilities include defining architecture roadmaps, overseeing software development, mentoring teams, designing scalable and fault-tolerant systems, investigating new technologies, driving automation, ensuring code quality, and managing project delivery timelines.
#J-18808-Ljbffr