indeed
Sr. Software Developer
Genesys
Toronto, CAN
Full-time
Senior
Onsite
Discovered 4 weeks ago
PythonJavaScalaAWSBig DataMachine Learning
Free
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Role Overview
We are seeking a Senior Software Engineer to design and build scalable cloud, Big Data, and machine-learning infrastructure that powers AI-driven Workforce Management capabilities.
This role offers the opportunity to solve complex distributed-systems problems, lead projects from design through production, and build reusable platforms that accelerate AI/ML development across multiple teams.
The ideal candidate combines strong software-engineering fundamentals with experience in AWS, distributed data processing, and production platform development.
They will influence technical direction, mentor other engineers, and help improve the scalability, reliability, observability, and cost efficiency of our data and ML systems.
Key Skills for This Role
PythonJavaScalaAWSBig DataMachine Learning
Full Job Posting
Role Overview
We are seeking a Senior Software Engineer to design and build scalable cloud, Big Data, and machine-learning infrastructure that powers AI-driven Workforce Management capabilities.
This role offers the opportunity to solve complex distributed-systems problems, lead projects from design through production, and build reusable platforms that accelerate AI/ML development across multiple teams.
The ideal candidate combines strong software-engineering fundamentals with experience in AWS, distributed data processing, and production platform development.
They will influence technical direction, mentor other engineers, and help improve the scalability, reliability, observability, and cost efficiency of our data and ML systems.
Key Responsibilities
- Translate complex business and AI/ML requirements into scalable system designs, technical plans, and production-ready solutions.
- Lead the end-to-end delivery of cloud, Big Data, and ML infrastructure projects from requirements and architecture through testing, deployment, and operational support.
- Design and develop distributed data pipelines and workflow-orchestration services using technologies such as Spark, EMR, S3, Metaflow, AWS Batch, Step Functions, and Fargate.
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