The Company Cover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, Booking.com, Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales.

Coming off a stellar year with 40% YoY revenue growth and a recent $100M capital raise, putting our valuation at $1.9BN, we are accelerating into our next phase of growth. As part of our team, you’ll help drive our AI-first roadmap, developing hyper-personalization engines, agentic distribution, and automated claims infrastructure, while building the scalable technology powering the rapid-growing $70B embedded protection market. Our people are: Accountable, customer-obsessed, collaborative, driven

Our people are not: Passive, defensive, siloed, hesitant

About the Role As a Site Reliability Engineer, you'll lead reliability and infrastructure projects that span multiple teams and business domains. Decisions you make on system design, tooling, and process will directly shape how the teams you work with build and operate at scale.

To drive success in this role, you will have a strong background in cloud infrastructure and platform engineering, with experience across infrastructure-as-code, CI/CD and release automation, observability, security, and disaster recovery. You should possess strong technical judgement, the ability to independently lead complex projects from design through delivery, and a proactive approach to eliminating operational risk before it becomes a problem.





Regular collaboration with software engineering teams, security teams, and other relevant stakeholders will be key in ensuring the reliability and efficiency of our production systems are achieved.

Key Responsibilities

Analyze, test, and evolve systems to improve reliability and performance at an architectural/infrastructure level, leading medium-to-large projects from design through delivery

Apply AWS and GCP expertise to architect and build reliable, highly-available cloud infrastructure across multiple products and projects

Implement observability strategy and standards, developing the tooling and dashboards other teams build on

Champion SLOs and error budgets for services in your area, using them to prioritise reliability work against feature velocity

Act as incident commander for significant production incidents, lead troubleshooting on complex issues, using blameless post-mortems to drive continuous improvement

Reduce operational toil by building automation and self-service tooling, that other engineers can adopt, rather than absorbing repetitive work yourself

Develop and maintain design, troubleshooting, and runbook standards that other engineers can follow

Apply AI-assisted development to infrastructure problems, and guide other engineers on using AI tools effectively within your team's workflows





Contribute to capacity planning and cost optimisation

Mentor other engineers on systems thinking, incident management, and production ownership, raising the bar within your team

Implement security best practices in infrastructure development and maintenance - such as least-privilege access, secrets management, policy-as-code gates in your pipelines

What You Will Bring

3+ years of experience in SRE, Platform Engineering, DevOps or other related roles

Strong understanding of SRE and platform engineering principles, with experience applying them to lead cross-team projects

Experience using and configuring modern observability tools such as Datadog, Elasticsearch, Prometheus, Grafana

Experience with cloud native and container technology such as Docker, and hands-on experience using and managing Kubernetes clusters

Experience authoring reusable, parameterised infrastructure-as-code modules (e.g. Terraform)

Comfortable scripting and developing internal tooling with Bash and at least one programming language (e.g. Python, Go)

Fluent with AI-driven development environments like Cursor, Claude Code, or Codex, with a proven ability to leverage these tools within production engineering workflows

Experience working with Linux

Strong understanding of networking, distributed systems, and system architecture at scale

Proven experience deploying, scaling, and monitoring web applications and databases in high-availability environments

Deep expertise in AWS and/or GCP platforms

Bachelor's degree in Computer Science/Engineering, a postgraduate degree and/or record of academic achievement is also desirable

Ownership & Delivery

Takes ambiguous pro

📌 Site Reliability Engineer III (Vancouver)
🏢 Cover Genius
📍 Vancouver