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Pythian

Cloud migration and managed analytics services

Site Reliability Engineer

Site Reliability EngineeringPosted on Nov 10
Full-timeNo salary listed

About the Job

Requirements

  • Experience with Google Cloud and infrastructure-as-code tools such as Terraform.
  • Strong knowledge of microservices, containers including Kubernetes and Docker, and networking.
  • An SRE mindset focused on automation, scalability, and reliability.
  • Hands-on experience with PKI, service mesh, and Linux systems administration.

Responsibilities

  • Operate and optimize Kubernetes clusters, Istio service mesh, and Linux-based systems.
  • Automate workflows using Go, Python, and Shell scripting.
  • Build monitoring and observability solutions with Prometheus, Grafana, and Loki.
  • Troubleshoot complex networking, storage, and system performance issues.
  • Participate in on-call rotations and postmortem reviews to improve system resilience.
  • Partner with AI/ML teams to ensure infrastructure readiness for model training and data pipelines.
  • Design, deploy, and operate large-scale distributed systems across compute, storage, networking, and AI/ML environments.
  • Lead projects from architecture through automation and intelligent monitoring, collaborating with clients and teammates to build resilient, high-performing infrastructure.

About the Company

Pythian

Cloud migration and managed analytics services

Pythian helps organizations move, manage, and analyze data and IT infrastructure. It provides cloud migration, managed services, and advanced analytics to help businesses use cloud platforms such as Google Cloud, AWS, and Azure. Its solutions include moving data and applications to the cloud, running and monitoring those systems, and turning data into insights through machine learning, artificial intelligence, and data science. Pythian differentiates itself by offering a fully managed analytics platform that unifies a company’s data across sources and by combining expert consulting with ongoing operations to ensure data systems run smoothly. The company’s goal is to enable enterprises to improve decision-making, reduce IT friction, and drive growth by leveraging cloud technology and data analytics.

Company size
501-1,000
Company stage
Early VC
Total funding
$21M
Headquarters
Ottawa, Canada
Founded
1997

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