Cloud Engineer Jobs

About The Position

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in cloud engineering with a strong focus on AWS services (EC2, S3, RDS, Lambda, ECS, EKS, VPC, IAM, CloudFormation, Step Functions).
• Proficiency in building and maintaining Django applications at scale, integrated with cloud-native services.
• Hands-on experience with infrastructure automation tools like Terraform, Ansible, or AWS CloudFormation/CDK.
• Proven ability to lead large-scale application or data migrations to the cloud.
• Strong understanding of networking, security, and DevOps practices in cloud environments.
• Experience interfacing with clients or business stakeholders for requirements gathering and technical discussions.
• Deep knowledge of container orchestration (Docker, ECS, EKS, AKS), serverless architectures, and event-driven design patterns.
• Experience designing highly available, fault-tolerant, and disaster-recoverable architectures.
• Proven ability to mentor engineers, lead design reviews, and influence infrastructure direction.
• Strong understanding of cloud security: IAM, WAF, GuardDuty, Security Hub, encryption, and compliance frameworks (SOC2, ISO 27001).
• Legally authorized to work in Canada.

Nice To Haves

• AWS Solutions Architect Professional, AWS DevOps Engineer Professional, or Azure Solutions Architect Expert certification.
• Experience with multi-cloud or hybrid-cloud architectures spanning AWS and Azure.
• Familiarity with platform engineering and internal developer platform concepts (Backstage, Port, Humanitec).
• Experience with AI/ML infrastructure: SageMaker, Bedrock, Azure OpenAI, GPU cluster management, model serving (Triton, BentoML).
• Experience with GitOps workflows (ArgoCD, Flux), progressive delivery (Argo Rollouts, Flagger), and canary deployments.
• Knowledge of data engineering infrastructure: Airflow, dbt, Kafka, Kinesis, Snowflake, or Redshift on cloud platforms.
• Experience with FinOps at scale: cost allocation, showback/chargeback models, and cloud financial governance.
• Familiarity with chaos engineering practices (AWS Fault Injection Simulator, LitmusChaos, Gremlin).

Responsibilities

• Architect and implement cloud infrastructure solutions on AWS for web applications and data platforms.
• Lead end-to-end cloud migration projects, ensuring scalability, security, and minimal downtime.
• Develop and maintain Django-based back-end systems integrated with cloud-native services.
• Collaborate with clients to gather technical requirements and translate them into actionable engineering plans.
• Implement CI/CD pipelines and infrastructure-as-code using tools like Terraform or CloudFormation.
• Optimize cloud cost and performance through monitoring, automation, and continuous improvement.
• Ensure high availability, security compliance, and disaster recovery readiness.
• Act as a technical advisor to both internal teams and external stakeholders.
• Design multi-account AWS architectures using AWS Organizations, Control Tower, and Service Control Policies for enterprise-grade governance.
• Architect and manage Kubernetes clusters (EKS/AKS) with service mesh (Istio, Linkerd), auto-scaling, and multi-environment promotion strategies.
• Lead infrastructure observability strategy using OpenTelemetry, Prometheus, Grafana, Datadog, or CloudWatch with custom dashboards and SLO-based alerting.
• Design and implement platform engineering solutions including internal developer platforms, golden paths, and self-service infrastructure tooling.
• Support deployment of AI/ML workloads on cloud infrastructure including SageMaker, Bedrock, Azure OpenAI, GPU instances, and model serving architectures.
• Mentor junior and mid-level engineers, conduct architecture reviews, and drive knowledge sharing across the team.

Benefits

• Competitive salary
• Equity options
• Continuous learning opportunities