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Site Reliability Engineer

Posted 2024-11-08

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💎 Seniority level: Senior, At least 5 years

📍 Location: Canada

🔍 Industry: Supply chain solutions

🏢 Company: Tecsys Inc.

🗣️ Languages: English

⏳ Experience: At least 5 years

🪄 Skills: AWSJavaJenkinsAzure.NETCommunication SkillsDocumentationCompliance

Requirements:
  • Bachelor's degree in computer science or related technical discipline.
  • At least 5 years of experience in systems engineering, with experience in platform development, orchestration, product ownership, and iterative design and deployment.
  • Experience designing and deploying large-scale systems and multi-vendor platforms.
  • Strong knowledge of system design, high-performance computing, storage technologies, and integrating compute, storage, and network technologies.
  • Experience with full stack automation and reducing manual intervention.
  • Self-organized and collaborative, managing efforts across various teams and geographies.
  • Knowledge of Datadog and Rapid7 Insight preferred.
  • Knowledge and experience with AWS or Azure required.
  • Basic knowledge of Java or .Net-based development is necessary.
  • Knowledge of GitLab preferred, or at least Jenkins required.
  • Experience with SaaS companies is an asset, along with Fedramp compliance experience.
  • Strong English communication skills, both written and spoken.
Responsibilities:
  • Collaborate with other Engineering teams to support services before they go live through system design consulting, software platform development, capacity planning, and launch reviews.
  • Maintain services post-launch by measuring availability, latency, and overall system health.
  • Develop tools & automation on Azure & AWS to reduce manual intervention.
  • Scale systems through automation and enhance reliability and velocity.
  • Participate in on-call rotation and conduct blameless postmortems for incident response.
  • Implement CI/CD solutions, monitoring, logging, alerting, and SLA reporting.
  • Create technical documentation and apply SRE best practices.
  • Take command of high-severity incidents and facilitate their resolution.
  • Support planning and deployment teams to enable stability and scale.
  • Work cross-functionally with internal teams and vendors.
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