Description
Join RBC as a Senior Site Reliability Engineer and be part of the bank's major transformation journey.
In this role you will develop next generation network and infrastructure automation and observability solutions, integrating industry frameworks and tools with AI and analytics.
Responsibilities
- Collaborate in the design and development of the next generation of infrastructure automation and observability by fostering software engineering practices that reduce toil and optimize infrastructure
- Scale infrastructure sustainably through automation, using Ansible, Python and Infrastructure as Code
- Build, maintain and support high-performance, scalable observability services that power AI-driven insights and advanced analytics
- Build infrastructure and application monitoring that measures availability, latency and system health, and define SLOs and error budgets with partner teams
- Lead the design of automation and observability components, from technical direction through to production support
- Contribute to the team's AI-enabled SDLC practices, including prompt standards, guardrails, and quality and security checks for AI-generated code
Requirements
- 5+ years of software engineering experience, including designing and troubleshooting large-scale distributed systems
- Strong hands-on experience with Ansible (playbooks, roles, collections, inventories) for infrastructure automation
- Strong proficiency in Python for building automation, services and APIs
- Infrastructure as Code practices: Git-based workflows, automated testing and CI/CD for infrastructure changes
- Experience building and supporting scalable, modern observability and monitoring pipelines using one or more open-source solutions (such as OpenTelemetry, Prometheus, Grafana, Jaeger, Tempo or OpenObserve)
- A strong understanding of software engineering principles, design patterns, data structures, algorithms and testing techniques, with strong technical knowledge of CI/CD, DevOps and engineering practices
- Experience building software and deploying applications with containers and Kubernetes
Nice-to-have
- Experience with Go and Terraform
- Experience with public cloud platforms, such as Azure and AWS
- Network Infrastructure Experience
- Experience building AI agents and applying AI across the SDLC
- Experience building user interfaces using React and modern frontend tooling
- Experience with SNMP and gNMI
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business
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