Senior Manager, Software Engineering; Infrastructure

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Loopio is looking for a senior engineering leader to own our SRE, Infrastructure, and MLOps teams. In this role, you will be the primary architect of the reliability, scalability, and cost efficiency of the systems that power Loopio’s platform.

You’ll lead teams that design, build, and operate our production infrastructure, ensuring our services are resilient, observable, and ready to scale as we integrate advanced AI and agentic workflows. You’ll partner closely with Product Engineering, Security, and Data teams to enable fast, safe delivery while maintaining operational excellence.

Note:

This is an existing vacancy on the team

Leadership & Team Development

• Lead and grow multiple teams across SRE, Cloud Infrastructure, and MLOps.
• Coach and develop engineering managers and senior individual contributors, fostering a culture of ownership and high craft.
• Build a "Platform-as-a-Product" mindset, ensuring that infrastructure and ML tooling serve as enablers for the rest of the engineering organization.
• Partner with Recruiting to attract and retain specialized talent in the cloud, reliability, and machine learning infrastructure space.

Reliability & Operational Excellence

• Own the operational health of production systems, including availability, latency, and durability.
• Define and evolve SLIs, SLOs, and error budgets, moving the organization toward data-driven reliability decisions.
• Lead incident response, driving blameless postmortems and systemic improvements to reduce toil and improve on-call sustainability.
• Support ML-specific reliability, ensuring that model inference pipelines and vector databases meet the same high standards as our core SaaS platform.

Infrastructure & MLOps Strategy

• Evolve Loopio’s cloud architecture, overseeing capacity planning, disaster recovery, and business continuity.
• Drive the MLOps roadmap, establishing standards for model deployment, monitoring, and scaling (including LLM orchestration and RAG pipelines).
• Lead Cloud Fin Ops, ensuring our infrastructure and AI compute costs are visible, intentional, and optimized.
• Establish standards for infrastructure automation (IaC), configuration management, and secrets handling.

Security & Cross-Functional Leadership

• Partner with Security to ensure a secure-by-default infrastructure and robust backup/recovery strategies.
• Communicate risks and trade-offs clearly to senior leadership, acting as a calm, trusted voice during high-severity events.
• Collaborate with Product Engineering to support the delivery of high-impact AI features without sacrificing platform stability.

• 8+ years of experience in infrastructure, SRE, or cloud engineering roles, with 3+ years leading specialized engineering teams.
• Deep Cloud Proficiency:
  Extensive experience with AWS (preferred) and modern infrastructure-as-code (Terraform).
• Operational Grit: A proven track record of leading teams through production incidents and complex architectural migrations.
• MLOps Awareness:
  Understanding of the unique infrastructure needs for machine learning, such as GPU orchestration, model serving, or data pipeline stability.
• Systems Scaling & Observability:
  Proven expertise in managing large-scale containerized environments and leveraging observability stacks to ensure platform health.
• Strategic Communication:
  Ability to align technical roadmaps with business objectives and advocate for infrastructure investment.

Experience with Fin Ops or managing significant cloud budgets is a plus.

Background in supporting AI agentic workflows or autonomous orchestration systems is a plus.

• Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from.
• Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), the United Kingdom (London), and India (Gujarat, Maharashtra, and Bengaluru).

• The majority of our team is based in Ontario and British Columbia, which means these employees live and work remotely within a 300km radius of Toronto and…