This software developer will be a valuable member of a Scrum team responsible for designing, developing, and supporting an enterprise SaaS application platform. This person will be proficient in several programming languages and conversational about architectural topics like Inversion of Control and event-driven systems. This person must have an innate drive to learn and improve, be self-motivated, and possess strong communication and coordination skills between Product, Engineering, and QA.
Duties and Responsibilities:
· Define, estimate, code, review, test and document solutions for feature development, maintenance and refactor initiatives
· Collaborate with other developers and QA to design scalable, maintainable cloud-based systems
· Identify pragmatic and achievable improvements to processes and frameworks, balancing adoption and innovation
· Build for quality through code reviews, support of continuous integration and test automation, and the burndown of technical debt
· Install and maintain your individual development environment
Competencies:
· Demonstrated experience developing and maintaining enterprise SaaS software
· Understand and develop the application stack (Java/Spring Boot, JavaScript/React) and infrastructure on AWS
· Conceptualize an application from all angles (client issues, performance, data integrity)
· Understanding of framework-level telemetry and governance needs, especially with regard to data security, jurisdiction, and validation
· Comfort with tiered data structures, as well as both batch- and stream-based ETL
· Critical thinking, self-motivated, high energy, results oriented contributor who thrives in a fast-paced setting
Education and Experience:
· B.S. in Computer Science, Information Systems or related Engineering or equivalent experience
· Minimum 4 years of experience in a software product development environment
· Strong proficiency with: Java/Spring Boot
· Proficiency with: Python
· 2+ years of professional experience developing RESTful APIs
· Familiarity with Data Visualization tools like Amazon QuickSight
· Familiarity with data security and validation concepts like expected ranges and jurisdictional data segregation
· Familiarity with batch-type and stream-type data processing
· Experience developing software hosted in a cloud environment
· Experience with enterprise software development, maintenance, and processes
· Experience with Agile processes, especially Scrum
· Experience problem-solving with large, complex web-based applications
· Experience with enterprise, web-based data integration including transactions, full CRUD and ETL across business applications
· Experience working in and maintaining a Docker environment, Kubernetes experience a plus
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