DevOps Architect

N
NetomiAI software
Toronto/North America (Remote)Full-TimeSenior
Salary not disclosed
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Job Details

Experience
8+ years in DevOps, SRE, or cloud infrastructure roles, including 2+ years in an architect or technical lead capacity.
Required Skills
AWSNode.jsPythonBashJavaKubernetesCI/CDTerraformCloudFormation

Requirements

  • 8+ years in DevOps, SRE, or cloud infrastructure roles.
  • 2+ years in an architect or technical lead capacity.
  • Deep, hands-on AWS expertise across VPC networking, IAM and Organizations, EC2, ECS, Lambda, RDS, DynamoDB, S3, CloudWatch, and cost optimization.
  • Experience designing production environments and distributed systems for scale, resilience, and fault tolerance.
  • Strong Python and Bash skills for automation.
  • Working proficiency in Java or Node.js.
  • Regular practical use of AI assistants and coding agents in an engineering workflow, with the ability to verify their output.
  • Experience leading client or stakeholder engagements, presenting architectures to leadership, and managing expectations.
  • Hands-on experience with Infrastructure as Code.
  • Experience with containers and Kubernetes.
  • Nice to have: AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional.
  • Nice to have: Kubernetes certifications such as CKA or CKAD.
  • Nice to have: consulting or professional services experience, AI/LLM tooling experience, or Azure/GCP exposure.

Responsibilities

  • Design scalable, secure, and cost-efficient AWS architectures for greenfield builds and migrations, and explain those designs to technical and non-technical stakeholders.
  • Lead systems design decisions covering high availability, disaster recovery, multi-account strategy, network topology, and performance at scale.
  • Build and maintain Infrastructure as Code and set standards for its use across teams.
  • Architect and improve CI/CD pipelines.
  • Write production-grade automation and tooling in Python and Bash, and contribute to Java or Node.js services where needed.
  • Use AI coding and assistant tools for IaC, scripting, documentation, and troubleshooting, and review generated output for security, correctness, and cost implications.
  • Lead client-facing workshops, architecture reviews, and technical discussions; translate business requirements into technical solutions and explain trade-offs.
  • Implement observability and drive incident response and post-mortem practices.
  • Embed security and compliance into infrastructure, including IAM least privilege, encryption, and guardrails.
  • Mentor engineers and raise the technical bar of the team.
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