Senior Cloud DevOps Engineer

Aversan Inc. ( is a trusted multi-service engineering and electronics manufacturing company. Aversan delivers leading-edge and reliable safety-critical electronics and software systems to the aerospace, defence, and space industries.

We are currently seeking a qualified Senior Cloud DevOps Engineer to join our team. The successful candidate will be responsible for the reliability, scalability, automation, and continuous improvement of IAM cloud infrastructure and platforms across AWS and GCP, with a strong focus on automation, observability, and AI-assisted operations (AIOps).

Location: Ottawa, Ontario

Job Type : Full Time-Contract

Working Arrangement: Hybrid 3 days onsite Tuesday-Thursday

Responsibilities

- Participate in L2/L3 incident response, root-cause analysis, and post-incident reviews.
- Operate and support production-grade, highly available IAM cloud services.
- Deploy and manage Kubernetes-based platforms (EKS, GKE, OpenShift).
- Design, implement, and maintain Infrastructure as Code (IaC) using Terraform.
- Implement monitoring, logging, and alerting using Datadog.




- Leverage AIOps capabilities for anomaly detection and alert correlation.
- Integrate AI-assisted insights into operational workflows.
- Support cloud databases: PostgreSQL, MySQL, MSSQL, MongoDB, Elastic.
- Contribute to upgrades, backups, HA/DR, and monitoring.
- Collaborate with Automation Architects, SREs, and R&D; teams.
- Follow ITIL-aligned operational processes.
- Build and maintain CI/CD pipelines (GitLab).
- Review DevOps code to ensure quality, security, and consistency.

Basic Qualifications

- 5+ years’ operating cloud-based production systems.
- Bachelor’s degree in computer science, Engineering, or equivalent experience
- Strong Kubernetes orchestration experience.
- Hands-on Terraform and Infrastructure as Code expertise.
- CI/CD pipeline experience (GitLab).
- AWS or GCP experience.
- Scripting and automation (Python, YAML, JSON, Bash).
- Experience with observability tools.
- Strong Linux knowledge.
- Experience with AIOps platforms or ML-assisted monitoring.
- IAM or regulated setting experience.
- ITIL or COBIT familiarity.

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