AI/MLOps Software Engineer at Workday
Workday
Elevate your software engineering expertise with Workday's innovative data engineering team in Toronto, Canada. Focus on AI/MLOps while engaging in cloud ops and building scalable data systems. This Software Engineer role requires three years of experience with distributed systems. Candidates should have strong skills in Kubernetes, Spark, and Python to facilitate data ingestion and machine learning integrations. A solid understanding of cloud infrastructure is essential for effectively supporting Workday's applications and workflows. Key Responsibilities:
- Develop data systems for efficient ingestion and computation
- Build robust service endpoints for data retrieval
- Utilize CI tools like Jenkins for seamless code deployment
- Monitor and log metrics using Grafana and Kibana
- Engage in production support and on-call duties
- Minimum of 3 years in software engineering
- Proficiency in Java, Scala, or Python
- Strong knowledge of cloud infrastructure (AWS, GCP)
- Experience with Spark or Terraform tools
- Degree in Computer Science or Engineering
Vacancy posted 3 hours ago
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