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 fast-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 up-to-date 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 postgra

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