Site Reliability Engineer

Job summary

Operate and support shared AWS EKS and Databricks platforms, including troubleshooting Kubernetes workloads, networking, and cluster health. Investigate incidents with engineering teams and improve platform reliability through repeatable Terraform changes, automation, and runbooks.

Job details

Site Reliability Engineer: Level 3 Remote Canada Description 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. Our cloud stack includes: Clouds: AWS, Azure, Oracle We support the shared AWS EKS and Databricks platforms supporting application, analytics, and data teams across McGraw Hill. Along with some disperate analytics systems in Oracle cloud and possibly Azure. AWS Cloud Tech: AWS ( S3, EC2, ECS, EKS, SQS, Elasticache Redis, Elasticache Memcache, Elasticache Valkey, RDS, Aurora RDS, Open Search/Elastic Search, Dynamodb, Athena, Route53, WAF, IAM, Cloudfront, Load Balancing, ACM, VPCs, Lambda, API Gateway, VPC Endpoints, Routing tables, SES, SNS, Bedrock, Glue and more) Infrastructure as Code: Terraform RDBMS: Mysql, PostgreSQL, Aurora including Connection Pooling technologies like Sequelize Caching: Valkey, Redis, Memcache, Dynamodb Languages: Python, Nodejs, Java, Golang, PHP, Bash Container orchestration: AWS ECS, AWS EKS, Docker Telemetry: NewRelic, CloudWatch, Datadog, Splunk Build/Deploy/Run: Github Actions, Artifactory, GitHub Cloud, Pagerduty, Slack, ServiceNow, Exigence Security: Rapid7 InsightAppSec, Crowdstrike, 1Password, DivvyCloud (Insight Cloudsec), Security Scorecard, WAF, dependabot, checkov, Github Advanced Security scanning, Secret scanning, VDP Task Management: JIRA Must Have for this role: • 5+ years of experience preferred. • Strong expertise in: • AWS • Amazon EKS (Elastic Kubernetes Service) - primary focus • Terraform (must be very strong) • Backend/platform engineering • Kubernetes cluster build, maintenance, and upgrades. • SRE/Platform Engineering background preferred. • Databricks experience (not required, considered a bonus). • Experience with security tools such as Rapid7 is not mandatory. • Security awareness and understanding of security best practices are expected. Ideal Candidate: A senior AWS/EKS platform engineer with 5+ years of experience, strong Terraform skills, hands-on experience building and managing Kubernetes/EKS clusters at scale, and the ability to collaborate effectively with multiple engineering teams. Databricks experience is a bonus but not a requirement. BS Degree in Computer Science (or related technical field and/or equivalent industry experience) preferred

What you’ll do

Operate and support shared AWS EKS and Databricks platforms, including troubleshooting Kubernetes workloads, networking, and cluster health. Investigate incidents with engineering teams and improve platform reliability through repeatable Terraform changes, automation, and runbooks.

Requirements

The role prefers 5+ years of experience, strong AWS and Terraform expertise, and hands-on experience building, maintaining, and upgrading Kubernetes/EKS clusters. A background in SRE or platform engineering is preferred; Databricks experience is a bonus, and a computer science or related degree or equivalent industry experience is preferred.

Listed skills

• Kubernetes · Preferred
• Docker · Preferred
• Amazon Web Services · Preferred
• Terraform · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AWS
• Amazon EKS
• Kubernetes
• Terraform
• Platform Engineering
• Site Reliability Engineering
• Databricks
• Infrastructure As Code
• Incident Investigation
• Automation
• Runbooks
• Cloud Security
• Python
• Docker
• CloudWatch
• Datadog

Job areas

• Technology
• Software
• Engineering
• Data & Analytics

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