Staff Site Reliability Engineer, Application (AI)

Location: Hybrid, in-office in Mississauga, Ontario, with a minimum of 10 office days per month. The position is listed for Toronto, Canada, and based at 5050 Satellite Drive, Suite 200, Mississauga, ON.

CAD 141,000–176,000 annual base salary, with potential benefits, bonus, commissions, and long-term incentive awards depending on the role.

Company

hirify.global provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers in more than 40 countries.

What you will do

• Serve as a primary technical authority for application SRE, owning strategic technical designs, design reviews, engineering decisions, and complex escalations.
• Design systemic improvements for AWS and Kubernetes environments and establish reliability standards across the organization.
• Develop production-grade automation, automated runbooks, self-healing systems, Operations as Code, and CI/CD pipelines using Terraform and GitOps.
• Set testing, clean-code, observability, incident-response, and blameless post-mortem standards; oversee 24x7 on-call escalation.
• Apply AI/ML and data-driven insights to Datadog/Resolve observability for predictive reliability.
• Mentor P1–P5 engineers and lead cross-team initiatives that improve MTTR, uptime, deployment velocity, and cloud strategy.

Requirements

• 8–10+ years of software engineering experience, including SRE or DevOps, with at least 3+ years in a Staff-level or Technical Lead capacity.
• Expertise with AWS and Kubernetes/EKS in large-scale distributed cloud environments.
• Advanced Infrastructure as Code and configuration-management skills with Terraform or CloudFormation, Ansible or Puppet, and GitOps.
• Ability to write production-grade code in Python, Go, C++, C#, or Java, with strong object-oriented programming skills.
• Experience with software design principles, end-to-end architecture, RFCs or ADRs, and technical trade-off analysis.
• Deep experience building monitoring, SLIs/SLOs, and tracing strategies with tools such as Datadog, Prometheus, or Splunk.
• Leadership experience taking operational or software engineering projects from inception to delivery, communicating technical risks, and aligning reliability with feature delivery.
• Experience managing on-call rotations and applying a safety-first reliability mindset.
• Fluency with modern AI-assisted development tools such as Claude Code, Cursor, or Copilot, plus familiarity with AI technologies, spec-driven development, and LLM evaluations.

Culture & Benefits

• Hybrid, in-office work with at least 10 days per month in the office.
• Participation in a global 24x7 on-call rotation.
• Health, dental, and vision insurance, paid time off, and a company-sponsored retirement plan for eligible full-time employees.
• Potential annual bonus, commissions, and long-term incentive awards depending on the role and performance.
• Equal-opportunity and disability-inclusive workplace with individualized accommodation support during hiring.