Site Reliability Engineer III (SRE III)

Emburse · Toronto

Who We Are:

At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.

The Site Reliability Engineer III (SRE III) plays a critical role in ensuring Emburse’s systems are highly available, scalable, and performant. This role blends deep technical expertise with strong collaboration and leadership skills to drive operational excellence across distributed systems. The ideal candidate is passionate about automation, cloud infrastructure, observability, and continuous improvement, while mentoring junior engineers and driving reliability culture across the organization

What you will do :

Service Reliability & Performance

  • Proactively identify, evaluate, and implement preventative measures to reduce customer impact.
  • Ensure all services are designed and operated with 24/7 availability, scalability, and resilience in mind.
  • Monitor, troubleshoot, and provide visibility to improve site latency, performance, and uptime.
  • Engineering Excellence & Automation

    • Design, develop, and automate reliable cloud infrastructure and platform services.
    • Apply Infrastructure-as-Code (IaC) principles to manage large-scale distributed systems.
    • Write and maintain scripts, tools, and automation frameworks to support operational efficiency.
    • Partner with engineering leadership to develop solutions enabling developer productivity and remove cross functional dependencies.
    • Collaboration & Process Development

      • Collaborate with Platform Engineering  teams on project definitions, requirements, backlog grooming, and planning processes.
      • Align operational goals with product and engineering roadmaps to ensure reliability requirements are met early in the lifecycle.
      • Define non-functional requirements (NFRs) and influence standards for scalability, observability, and fault tolerance.
      • Lead cross-functional troubleshooting of complex issues spanning applications, infrastructure, databases, and networks.
      • Leadership & Mentorship

        • Serve as a technical mentor to SRE I and II engineers, guiding them in best practices for reliability, automation, and incident management.
        • Lead root cause analysis and postmortem reviews, driving continuous improvement initiatives.
        • Support offshore and distributed teams, promoting effective collaboration and communication.
        • Participate in design and architecture reviews, offering technical recommendations and documentation for key stakeholders

What we are looking for :

Education:

  • Required: Bachelor’s degree in Computer Science or a STEM field
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    Experience:

    • Minimum 6 years of experience in an engineering or operations role with a focus on reliability, scalability, and automation.
    • Certifications:

      • Preferred: Certified Kubernetes Administrator (CKA) and/or AWS Certification
      •  

        Additional Eligibility Qualifications

        Required Skills:

        • Strong proficiency in Linux-based distributed environments (up to 70% hands-on work).
        • Deep experience with cloud platforms (AWS or Azure) and Infrastructure-as-Code (Terraform).
        • Excellent scripting skills (Python, Bash, Powershell); object-oriented programming experience is a plus.
        • Demonstrated ability to develop and maintain internal tools and automation solutions.
        • Excellent written and verbal communication skills in English.
        • Strong project management and organizational abilities with a bias for action.
        • Experience collaborating with offshore or globally distributed teams.
        • Expertise in containerization and orchestration technologies (Docker, Kubernetes).
        • Experience with Kubernetes scaling tooling (Karpenter, KEDA).
        • Strong understanding of DevOps principles and modern CI/CD pipelines.
        • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
        • Familiarity with self-healing systems, and site reliability best practices.
        • Background in SaaS environments or large-scale distributed applications.
        • Analytical thinker with a focus on root-cause problem solving.
        • Self-starter with a strong ownership mentality and accountability.
        • Mentor and collaborator who uplifts teams and promotes learning culture.
        • Committed to operational excellence and continuous improvement.
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