Infrastructure / SRE Engineer

This is a fully remote position, open to applicants in Canada, +2 more countries.

📋 Description

• Develop and manage cloud landing zones, infrastructure-as-code, and Kubernetes foundations.

• Take ownership of CI/CD processes to ensure a fast, secure, and repeatable delivery product.

• Automate routine tasks and convert operational knowledge into tools and runbooks.

• Implement observability through metrics, logs, traces, SLOs, and alerting mechanisms.

• Establish and enhance on-call procedures and incident response protocols.

• Drive improvements in reliability based on insights gained from postmortems.

• Aid in deployments to both cloud and customer-managed environments.

• Oversee version control and configuration drift management.

• Optimize costs and capacity, particularly for AI workloads.

• Collaborate with product teams and customers to validate results and outcomes.

• Prioritize tasks based on value and demonstrate value with the smallest effective increments.

• Instrument and assess impact, ensuring evidence informs delivery decisions.

• Integrate automated QA processes, tests, quality gates, and regression checks into the delivery pipeline.

• Cultivate a culture of on-call readiness and reliability while mentoring the expanding team.

• Promote technical excellence, customer focus, and practical shipping practices.

• Collaborate with product teams across the portfolio that are responsible for their own roadmaps.

• Report directly to the Head of AI Platform Engineering as part of a small, senior founding team.

⛳️ Requirements

• Proven experience in building and maintaining production cloud infrastructure with a focus on reliability.

• Experience treating operations as an engineering discipline rather than a ticket-driven process.

• Real on-call responsibility for systems that have been built is essential.

• Strong communication skills with engineers, product partners, and customers.

• Focused on outcomes and value, with a pragmatic approach to decision-making.

• Experience with Kubernetes and infrastructure-as-code in a production environment is advantageous.

• Familiarity with Azure landing zones, networking, and identity management is a plus.

• Previous experience shipping software to customer-managed environments is beneficial.

• Experience in delivering solutions within regulated or restricted environments is a bonus.

• Knowledge of cost optimization for GPUs or other high-cost compute resources is a plus.

• Proficiency in Python, C#/.NET, or Go for tooling and automation is advantageous.

• Skills in system and platform design with sound judgment in trade-offs are beneficial.

• Experience with enterprise-scale software, reliability, security, and integration is a plus.

• Productive use of AI coding assistants and the ability to assess their output are beneficial.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and growth.

• Flexible work arrangements to promote work-life balance.

• Engaging and collaborative work environment.