Senior Software Developer; GCPay

Design, code, test, debug, and document new and existing functional components to ensure that software meets business, quality, and operational needs

Break apart complex initiatives into manageable chunks. Document these along with architectural decisions and code design specifications

Focus on quality, including writing unit/integration tests and refactoring when appropriate, debug, and solve defects in implemented software solutions

Participate in on-call responsibilities and relevant tasks, demonstrate strong leadership in incident calls, driving the investigation, timely resolution, and improvements required for each incident.

Collaborate and communicate effectively with your leads, Product Managers, Dev Ops, SDETs, and Software Engineers

Work within a small, agile team, following a sprint methodology

Participate actively in code reviews and contribute to technical discussions

Advanced expert role, requiring deep subject-matter knowledge and sound business acumen to advise leaders

Understand and become an SME on ERPs, web apps, and related systems

Require depth of specialized expertise, technical and non-technical, to interpret internal/external business issues and recommend best practices, performant solutions to address them

Candidates who pay close attention to detail may choose to include the word Keystone in their introduction and talk about an example where they owned a complex or difficult situation

Solve complex problems that require in-depth evaluation of variable factors by taking a broad perspective to identify the best approach and innovative solutions

Effectively communicate technical challenges within and across teams

Keep yourself up-to-date with evolving technologies and showcase them with an implementation

5+ years of experience in developing enterprise applications

Expertise in Java, Spring Boot, JavaScript, React, and REST APIs

Hands-on experience with Amazon Web Services

MySQL or similar database expertise

Experience in building, running, and monitoring SaaS applications at a large scale

Working knowledge of Software design patterns, distributed systems, resiliency, infra, and security

Knowledge of ERP systems, event-driven architecture, and payment platforms

Elasticsearch or similar search technology background, especially building new indexes or queries for production systems

Familiar with virtual computing pipeline stages, e.g. building (Git Hub, Docker), testing and deploying (Jenkins, CI/CD, Kubernetes), hosted runtimes (AWS, Elasticsearch), etc.