Revolutionize operational processes within Technology Infrastructure by delivering enterprise-grade, data-intensive AI and GenAI solutions for key stakeholders across Technology & Operations at RBC
Requirements
- Experience building and maintaining data ingestion pipelines
- In-depth knowledge of the Python application deployment lifecycle, including CI/CD processes
- Hands-on experience deploying hybrid environments on on-premise and cloud platforms, including RedHat OpenShift and Azure
- Proven proficiency in programming languages such as Python, and Java
- Experience working with relational databases (e.g., MSSQL, PostgreSQL, MySQL), including expertise in profiling data and writing/optimizing SQL queries
- Familiarity with non-relational databases e.g., Elasticsearch, MongoDB
- Experience with data analytics and monitoring platforms, such as Splunk, Dynatrace, Moog, PromQL, and Grafana Enterprise Metrics (GEM)
Responsibilities
- Implement LLM agents and deploy them on hybrid cloud environment
- Design, develop, and implement AI-enabled data ingestion applications and machine learning systems
- Collaborate with peers to write, troubleshoot, enhance, and document high-quality code aligned with strategic initiatives and detailed requirements
- Partner with internal teams across RBC to deliver software features, resolve issues, and implement bug fixes
- Ensure seamless integration of machine learning applications into enterprise-grade infrastructure while maintaining high performance and reliability
Other
- Strong written and verbal communication skills, with the ability to create compelling presentations and effectively collaborate with stakeholders
- Ability to work in a dynamic, collaborative, progressive, and high-performing team
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Full time employment
