Software development team lead building and modernizing SaaS applications for colleges and universities. Leading engineers, delivery, architecture, and responsible AI - assisted development.
About the role
- Senior Software Developer responsible for architecting large-scale distributed data systems for analytics. Collaborating within cross-functional teams to enhance customer experience via Genesys Cloud.
Responsibilities
- Design and implement highly available, fault tolerant services that enhance the reliability, scalability, and efficiency of the Genesys Cloud Analytics platform
- Build and maintain large-scale batch and streaming data pipelines using AWS EMR and Apache Airflow
- Engineer scalable architecture across the full data lifecycle including ingestion, streaming, structured and unstructured storage, search, and aggregation
- Develop reusable abstractions and self-service tooling that empower engineering teams to rapidly create streaming and batch pipelines
- Deploy, automate, and maintain global AWS infrastructure using infrastructure-as-code and CI/CD best practices
- Translate ambiguous product concepts into well-defined technical requirements and production-grade services
- Review code, mentor peers, and raise the bar for engineering quality and system design
- Troubleshoot complex distributed system issues in production and implement durable, performance-oriented solutions
- Advocate for automation, observability, testability, and maintainability as foundational engineering principles
Requirements
- Demonstrate strong experience designing and building distributed systems from the ground up
- Develop production-grade software using Java, Python, or similar programming languages
- Architect and operate web-scale data systems within AWS or comparable cloud environments
- Apply deep knowledge of Apache Spark, Hadoop, and Airflow to build and manage reliable data pipelines
- Design microservices and event-driven systems with scalability and resilience as primary objectives
- Implement infrastructure-as-code and automation practices to support repeatable, global SaaS deployments
- Communicate technical concepts clearly within cross-functional engineering teams
Benefits
- Comprehensive extended group health coverage
- Generous paid time off, including vacation and personal leave
- Retirement savings program with employer RRSP matching up to a prescribed maximum amount
- Family-friendly benefits, including parental leave top-up and adoption assistance
- Growth and development opportunities through access to learning resources and internal mobility programs
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