SecurityScorecard

1 week ago

Senior Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Drive the design and optimization of Kubernetes-based infrastructure and CI/CD systems to improve production reliability, rollout safety, and delivery speed. Build and operate AI tooling infrastructure, including MCP servers and secure, governed AI access patterns for production. Implement progressive delivery (blue/green, canary), advance infrastructure as code with Terraform/Helm/Argo CD, and own observability and incident response with SLOs, alerts, and postmortems.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and scale secure, multi-tenant, high-availability Kubernetes infrastructure.
•Build and operate AI tooling infrastructure, including MCP servers and secure, governed AI access for production systems.
•Optimize and maintain CI/CD pipelines, improving reliability, speed, and rollback safety.
•Implement progressive delivery strategies such as blue/green and canary deployments.
•Advance Infrastructure as Code and GitOps patterns (Terraform, Helm, Argo CD), and operate observability, SLOs, alerts, and incident response with postmortems.

Pay and Benefits

Salary: CAD 197,500 - 225,000 annually

Equity and Bonus:Equity

Perks:EquityHealth InsurancePaid LeaveParental LeaveLearning Budget

Key Requirements

•6+ years in SRE, DevOps, or infrastructure roles with significant production Kubernetes experience.
•Hands-on experience integrating AI/LLM tooling into engineering or operational workflows (e.g., MCP servers) with understanding of security/governance for AI access.
•Proven success building CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar tools.
•Strong Kubernetes internals and managed services experience (EKS, GKE, or AKS).
•Expertise with Infrastructure as Code (Terraform, Helm, Pulumi) and GitOps.

Experience:6+ yearsCybersecuritySaaS

Skills:CommunicationCross-team collaboration

Languages:English

Tech Stack:KubernetesCI/CDMCP serversTerraformHelmPulumiGitOpsArgo CDKafkaFlinkClickHouseGitHub ActionsJenkinsGitLab CIPythonBashGoPrometheusGrafanaDatadog

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SecurityScorecard

Provides a cybersecurity ratings platform that continuously assesses and monitors organizations' and third-party vendors' security posture using external data and analytics to help enterprises manage risk, prioritize remediation, and inform vendor risk decisions.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: New York, United States

Founded: 2013

Website LinkedIn

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SecurityScorecard

1 week ago

Senior Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and scale secure, multi-tenant, high-availability Kubernetes infrastructure.
•Build and operate AI tooling infrastructure, including MCP servers and secure, governed AI access for production systems.
•Optimize and maintain CI/CD pipelines, improving reliability, speed, and rollback safety.
•Implement progressive delivery strategies such as blue/green and canary deployments.
•Advance Infrastructure as Code and GitOps patterns (Terraform, Helm, Argo CD), and operate observability, SLOs, alerts, and incident response with postmortems.

Pay and Benefits

Salary: CAD 197,500 - 225,000 annually

Equity and Bonus:Equity

Perks:EquityHealth InsurancePaid LeaveParental LeaveLearning Budget

Key Requirements

•6+ years in SRE, DevOps, or infrastructure roles with significant production Kubernetes experience.
•Hands-on experience integrating AI/LLM tooling into engineering or operational workflows (e.g., MCP servers) with understanding of security/governance for AI access.
•Proven success building CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar tools.
•Strong Kubernetes internals and managed services experience (EKS, GKE, or AKS).
•Expertise with Infrastructure as Code (Terraform, Helm, Pulumi) and GitOps.

Experience:6+ yearsCybersecuritySaaS

Skills:CommunicationCross-team collaboration

Languages:English

Tech Stack:KubernetesCI/CDMCP serversTerraformHelmPulumiGitOpsArgo CDKafkaFlinkClickHouseGitHub ActionsJenkinsGitLab CIPythonBashGoPrometheusGrafanaDatadog

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SecurityScorecard

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: New York, United States

Founded: 2013

Website LinkedIn