DevOps Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-10-30). Last seen at its source 7h ago.
We have tracked this listing since 30 Oct 2026 (2 days). The employer's own board has carried it every time we have read it, most recently 7 hours ago.
Is it remote?
Toronto/North America (Remote)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Toronto, North America
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $154.8k–224.6k/yr
Middle 50% of 412 listings that do state pay — Engineering · all levels · Canada · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Lever employer's own board first seen 2d ago · last seen 7h ago
The listing
We’re looking for a DevOps Architect to design, build, and own cloud infrastructure on AWS for our platform. This is a hands-on architecture role. You’ll set the technical direction, write the infrastructure and automation yourself, and act as the trusted technical advisor to client stakeholders, from engineering teams to executives.
You’ll also play a key part in how our team uses AI tools to deliver faster without lowering quality or security standards.
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.
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.
Nice to Have:
- 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)