Site Reliability Engineer

Iris Software Inc.; United States; Remote; CAD 110.000 - 150.000; Vollzeit

Zusammenfassung

Iris Software Inc. seeks a Senior SRE Engineer for a 24-month remote contract based in Canada. The role focuses on building and maintaining scalable cloud infrastructure across teams, with emphasis on reliability and observability.

The candidate will operate AWS EKS and Databricks platforms, drive automation, and improve security and performance while collaborating with developers and data engineers in a distributed, cloud-first environment.

Qualifikationen

• Proven experience building and operating large-scale cloud systems.
• Strong knowledge of AWS and Kubernetes in production environments.
• Terraform automation and modular design for repeatable changes.
• Experience with CI/CD and infrastructure as code practices.

Aufgaben

• Build and support reliable infrastructure for multiple teams; optimize for resilience and observability.
• Operate AWS EKS and Databricks platforms, improve security and incident handling.

Kenntnisse

AWS expertise

Kubernetes

SRE/DevOps

Terraform

CI/CD

Tools

Terraform

AWS

Kubernetes

EKS

Databricks

Datadog

New Relic

CI/CD Tools

Jobbeschreibung

Iris's client, a large publishing house, is currently searching for a strong for an SRE Engineer based in Canada for a contractual role.

Job title: SRE Engineer

Location: 100% Remote (Only in Canada)

Duration: 24 months

Primary Skills: SRE

Job Description:

• We are hiring a Senior Site Reliability Engineer to build and support reliable infrastructure for teams across Client. On the Kubericks SRE team, you will help operate our AWS EKS and Databricks platforms, improve their security and observability, and partner with application and data teams to resolve production issues and make services easier to run.
• This position is a full-time contract position. If you have an automation mindset, know AWS services inside out, have distributed system / micro service experience, can triage complex cloud / application stack issues, like to solve engineering problems and lead by example then you will thrive in this position

About you:

• You are a strong communicator, both verbally and written
• You take ownership for the quality of your individual efforts
• You have proven experience in building and managing large-scale cloud systems and tools in AWS in repeatable and maintainable ways (Zero Downtime).
• You have experience as an SRE/Devops Professional working on n-Tier AWS architecture.
• You are adept at authoring, reviewing, and deploying Terraform. Including modules
• You have hands‑on experience in maintaining/triaging/managing Kubernetes
• You treat people with respect, have a good sense of humor and are non‑abrasive.
• You are constantly reading and learning. Ever the consumer of knowledge.

Specifically looking for

• Hands‑on experience operating or supporting AWS EKS in production, including troubleshooting Kubernetes workloads, networking, and cluster health.
• Experience supporting Databricks workloads or platform services, or a strong foundation in data platforms with an interest in developing Databricks expertise.
• Experience using Terraform to deliver repeatable infrastructure changes and improve platform reliability.
• A collaborative approach to supporting other engineering teams, investigating incidents, and turning recurring support work into automation and runbooks.

Should have

• Experience as a Software Engineer, Software Developer in Test, SRE, or Devops Engineer with practical experience developing and/or supporting enterprise applications
• Experience with infrastructure automation technologies like Terraform (3+ years of every day use preferred)
• Expertise in container/container-fleet-orchestration technologies, specifically EKS and/or ECS
• Versatility with troubleshooting diverse sets of hosting technologies: web server platforms, application platforms, operating systems, network components, virtualization technologies, storage, and database platforms.
• Expertise with continuous-deployment based software development lifecycles (e.g. CI/CD)
• Cloud database operations and deployment experience (RDS MySQL/Postgres/Aurora)
• Expertise with Lean/Agile deployment processes (Blue/Green, ZDT, Canary, DNS migration strategies)
• Familiarity with telemetry SaaS systems like New Relic and Datadog or similar systems from other vendors
• Strong problem solving, triage, root cause analysis and systems engineering skills
• Demonstrated expertise building and managing highly scaled production infrastructure in the cloud
• Experience with AI tooling and integrations, including AI assistants and productivity tools (Copilot, Claude, ChatGPT, etc.).