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netomi - DevOps Architect

Remote - Toronto/North America (Remote)2d ago

Requirements

• 8+ years in DevOps, SRE, or cloud infrastructure roles, including 2+ years in an architect or technical lead capacity. • AWS (Proficient): Deep, hands-on expertise across core domains: VPC networking, IAM and Organizations, EC2/ECS/Lambda, RDS/DynamoDB/S3, CloudWatch, and cost optimization. You’ve designed production environments, not just deployed into them. • Systems Design (Proficient): Proven record of designing distributed systems for scale, resilience, and fault tolerance. You can whiteboard an architecture and explain every trade-off. • Scripting & Programming (Intermediate–Advanced): Strong in Python and Bash for automation; working proficiency in Java or Node.js. • AI Tooling (Intermediate–Advanced): Regular, practical use of AI assistants and coding agents in your engineering workflow. You know where they speed things up, where they fail, and how to verify their output. • Client Communication (Proficient): Experience leading client or stakeholder engagements, presenting architectures to leadership, managing expectations, and pushing back when a request is technically unsound. • Hands-on experience with Infrastructure as Code and containers/Kubernetes. • AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional • Kubernetes certifications (CKA/CKAD) • Consulting or professional services background • Experience building AI/LLM capabilities into internal tooling or pipelines • Multi-cloud exposure (Azure/GCP)

Responsibilities

• Design scalable, secure, and cost-efficient AWS architectures for greenfield builds and migrations, and defend 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 (Terraform, AWS CDK, or CloudFormation) and set standards for its use across teams. • Architect and improve CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline). • Write production-grade automation and tooling in Python and Bash, and contribute to Java/Node.js services where needed. • Use AI coding and assistant tools (Claude, ChatGPT, Codex, Copilot, etc.) to speed up IaC, scripting, documentation, and troubleshooting, and critically review AI-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 clearly. • Implement observability (CloudWatch, Datadog, or similar) and drive incident response and post-mortem practices. • Embed security and compliance into infrastructure (IAM least privilege, encryption, guardrails, SOC 2 / ISO / PCI as applicable). • Mentor engineers and raise the technical bar of the team.