Senior Infrastructure/ DevOps Engineer

Lazer is a world-class digital product studio composed of 180+ senior engineers and designers with backgrounds from companies like Apple, Google, Coinbase, and more. With our product experience, we have designed, engineered, and grown products from $0 to $200M in revenue.

Clients seek our help because we have the talent to deeply understand their needs and provide industry, technical, or product insights that are uniquely valuable to their efforts. Our clients range from early-stage startups and venture studios to recognizable retail brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, Polymarket, and more.

We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong community through regular events, company vacations, competitive compensation, unlimited PTO, and more! Join Lazer and help us solve problems and build the next generation of products!

• Seniority: Minimum of 5 years dedicated experience in DevOps, Infrastructure, or SRE roles.
• Expert Tooling: Must be an expert with Docker, Kubernetes (k8s), and Terraform/Pulumi.
• Cloud Proficiency: Deep, proven expertise in either AWS or GCP infrastructure, with the ability to quickly grasp and transition to other cloud providers.
• Development Skills: Strong ability to write clean, maintainable code for automation in Go, Python, or Node.js.
• Security Focus: Demonstrable experience implementing and maintaining modern cloud security controls and meeting key compliance standards (SOC2, PIPEDA, HIPAA and/or GDPR).
• Independent, Proactive, and Cross-Functional: Proven ability to quickly onboard, diagnose problems, and propose/implement solutions with minimal oversight. Experienced in a consultant or freelancer capacity, demonstrating an aptitude for understanding and effectively communicating with both technical and non-technical stakeholders.

• Rapidly deliver solutions leveraging the following specific cloud services and tooling:
• Infrastructure as Code (IaC) Mastery: Quickly implement and adapt infrastructure using Terraform, Pulumi, or other major IaC tools.
• Containers proficiency: Experience with Docker is critical. Deeply understand how to design, build, and optimize secure, multi-stage Dockerfiles.
• CI/CD Implementation: Design, build, and manage robust Continuous Integration and Continuous Delivery (CI/CD) pipelines to automate code testing, building, and deployment across environments.
• Core Cloud Services (AWS or GCP): Proven ability to provision and manage foundational services. Deep expertise in one major cloud provider is required, with the understanding that knowledge is transferable to the other.
• Container Compute: Expertise in at least one major container platform: EKS, GKE, ECS, Fargate, or Cloud Run. Expertise in Kubernetes (k8s) is still highly valued, particularly with EKS or GKE.
• Networking: Understand when to use load balancers, VPNs for secure connectivity, and private VPCs for network isolation. Applies knowledge of subnetting, routing, VPC peering, and NAT gateways to build secure applications.
• Storage: Experience with S3 (AWS) or Cloud Storage (GCP).
• Databases: Experience with RDS (AWS) or CloudSQL (GCP).
• Serverless: Deploy event-driven components using Cloud Functions (AWS Lambda/GCP Functions) or their equivalents.
• CDNs, Message Queues.
• Security: Understands the value of security such as protecting PII, the role of encryption, secrets management, network firewalls, and web application firewalls (AWS WAF, GCP Cloud Armor) following security best practices.
• Automation & Scripting: Write high-quality automation and tooling using Go, Python, Node.js or Bash for client-specific operational challenges.
• Monitoring and Operations: Ensure robust monitoring (leveraging out-of-the-box cloud provider solutions) and high system uptime.

• AI/ML Infrastructure: Experience deploying and managing AI/ML workloads. Provisioning vector databases, and GPU/TPU compute resources.
• Multi-Cloud Experience: Prior hands-on experience in both AWS and GCP environments.
• Certifications: Cloud Certifications such as AWS or GCP certificates. Are a plus, but not mandatory.
• Advanced monitoring (e.g., Prometheus, Datadog) or logging experience.
• Experience with GitOps, ArgoCD or Flux.
• Experience with a Service Mesh, Ingress gateway.