Lead, Full Stack Engineer

Role overview

Responsibilities

• Lead, mentor, and grow engineers; set technical direction and quality standards while remaining hands-on to unblock delivery.
• Drive on-premises application migration to Azure and design secure, reliable, scalable hybrid solutions.
• Design APIs, web services, SSO and security integrations, and Kafka or MQ messaging.
• Develop and manage integration plans through production deployment, meeting committed timelines and managing architecture changes.
• Lead CNB entity integration and consolidate CNB Finance and Audit applications onto the RBC common platform.
• Build Python scripts and data pipelines; partner with business and technology stakeholders to gather requirements and align solutions.
• Develop and deploy cloud-native AI/ML solutions on AWS, Azure, or GCP using Kubernetes and Docker.
• Maintain a working understanding of enterprise operations, Splunk, Elastic, and performance monitoring.

Required qualifications

• 7+ years leading an engineering team while remaining hands-on and helping unblock delivery.
• Software engineering background with at least one of .NET, Java, or Python.
• Experience building and integrating APIs and web services across SSO, security, and Kafka or MQ messaging.
• Experience migrating applications from on-premises to Azure, AWS, or GCP and designing hybrid solutions.
• Ability to translate business requirements into technical roadmaps and identify strategic AI transformation opportunities.
• Strong data skills, including ETL, data orchestration, Python scripting, or data pipelines.
• Experience with Kubernetes and Docker and exposure to AI/ML solutions in production.
• Experience delivering integration plans to committed timelines and managing architecture changes.
• Ability to partner with stakeholders, gather requirements, and align technical work with strategic goals.

Preferred skills

• Preferred experience includes scaling AI applications, model optimization, latency reduction, and performance monitoring.
• RAG systems, vector databases, prompt engineering, AI-assisted SDLC, Python AI frameworks, and agent architectures are nice to have.

Benefits

• The employer describes a total rewards program, bonuses and flexible benefits, development and coaching opportunities, and collaborative, challenging work.

Schedule

• The posting lists 37.5 work hours per week.