Senior Site Reliability Specialist (SRE)

AlayaCare; Montreal; On-site; CAD 110,000 - 150,000; Full time

Job summary

AlayaCare in Montreal is seeking a Senior Site Reliability Specialist (SRE) to scale AWS cloud infrastructure, orchestrate Kubernetes deployments, and improve observability. You will own platform services across regions and lead major infrastructure initiatives.

You will collaborate with product and engineering teams to reduce incidents, runbooks, and implement IaC, monitoring, and automated testing to ensure reliability.

Qualifications

• 4 to 6 years of experience in a similar role.
• Solid hands-on experience with AWS in a multi-account, multi-region environment.

Responsibilities

• Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling.
• Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks.
• Participate in on-call rotations, incident response, and post-incident reviews to improve reliability.
• Partner with Product and Engineering teams to translate requirements into reliable infrastructure solutions.

Skills

AWS

Kubernetes

Python/Go/Bash

Linux

Observability

Education

Bachelor's degree in computer science or related field

Tools

Terraform

Atlantis/GitOps

Docker

Job description

About AlayaCare

At AlayaCare, we're more than just a fast-growing SaaS company, we're a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.

With 550+ employees across Canada, the US, Australia, and Brazil, we're united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

About the Role

We are seeking a Senior Site Reliability Specialist (SRE) and will be reporting to the Manager , Software Development you will scale our AWS cloud infrastructure, evolve Kubernetes deployment pipelines, improve monitoring, alerting, and resiliency, and develop tooling that enables product teams to deliver safely and efficiently. For acquired Azure-based products, the focus is on monitoring, alert triage, and runbook-driven incident response rather than greenfield platform design.

The Senior SRE will own shared platform services across cloud regions, including databases, messaging, logging, search, and tenant provisioning. The candidate will lead major infrastructure initiatives and proof-of-concept efforts, contributes to technical planning and prioritization, and partners with product teams to reduce operational incidents.

The team also develops and operates AI-driven tools to streamline runbooks, accelerate incident response, and generate operational insights from platform telemetry to improve reliability and reduce manual effort.

What You'll Do

Development, Automation, and Tooling

Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling.

Implement infrastructure as code, configuration management, and automated testing to ensure reliable, repeatable environments.

Contribute to code and configuration reviews to improve scalability, maintainability, and reuse.

Reliability and Operations

Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks.

Participate in on-call and help desk rotations, incident response, and post-incident reviews to improve long-term reliability.

Requirements and Collaboration

Partner with Product, Engineering, and development teams to translate requirements into reliable and operable infrastructure solutions.

Identify risks across operability, security, performance, and cost, and recommend practical trade-offs.

Continuous Improvement

Contribute to operational quality through runbooks, security hardening, performance tuning, and process improvements.

Stay current with emerging SRE practices, including AI-assisted operations and modern AWS platform patterns.

What You Bring to the Team

Bachelor's or advanced degree in computer science, Computer Engineering, or a related field, or equivalent practical or demonstrated learning experience.

4 to 6 years of experience in a similar role.

Solid hands-on experience with AWS in a multi-account, multi-region environment: EKS, AWS Organizations, IAM, and KMS.

Strong proficiency with Terraform and Infrastructure as Code workflows, including Atlantis/GitOps, state management, and module/provider upgrades.

Practical experience running workloads on Docker and Kubernetes in production, including Gateway API ingress patterns and cluster lifecycle management (upgrades, addons, node provisioning).

Strong experience with Linux systems administration and production troubleshooting.

Proficiency in at least one development or scripting language such as Python, Go, or Bash.

Experience with an observability platform (e.g. New Relic, OpenSearch, CloudWatch, OpenTelemetry, Honeycomb, Datadog) and event-driven alerting (e.g. EventBridge, SNS, PagerDuty).

Knowledge of system and network security fundamentals, including WAF, least-privilege IAM, secrets management, and backup/disaster recovery.

Experience participating in incident management (on-call, triage, remediation, post-incident review) and writing operational runbooks.

Hands‑on experience operating Aurora MySQL and PostgreSQL in production, including migrations, performance tuning, and backup/restore.

Strong problem‑solving skills with the ability to resolve complex operational issues through practical, scalable solutions.

Experience working in Agile environments and delivering iteratively.

Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams in a distributed environment.

Experience with AWS is required; Azure experience is an asset.

Relevant cloud or Kubernetes certifications are an asset but not mandatory.

Experience with cloud cost optimization (rightsizing, reserved capacity, and cost allocation tagging) is an asset.

Experience with Flux/ArgoCD, Karpenter, or Ray/Anyscale GPU infrastructure is an asset.

Experience moni