CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.
OnX is a leading technology solution provider that serves businesses, healthcare organizations, and government agencies across Canada. OnX combines deep technical expertise with a full suite of flexible technology solutions—including Generative AI, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, OnX delivers comprehensive technology solutions for its clients’ transformative business initiatives. For more information, please visit www.onx.com.
DevOps AWS Engineer
AWS Engineer with strong technical leadership, hands-on AWS cloud architecture expertise, and a DevOps mindset.
The ideal candidate will have deep knowledge of AWS services, infrastructure automation, networking, and security, as well as a proven track record of customer satisfaction and cloud deployment success.
This role requires excellent communication, leadership, and problem-solving skills in a dynamic, fast-paced environment.
Essential Functions
40% – Code and develop continuous automation/delivery processes and tools
25% – Design and build a hybrid cloud product to support a Managed Services model
20% – Solution design and architecture in support of customer assessments and sales engagements
15% – Train and educate staff; pursue self-training, professional growth, and continued education
Experience
8+ years of overall software engineering experience
5 years focused on AWS (cloud application development and deployment)
Special Knowledge, Skills, and Abilities
5+ years developing and deploying cloud applications with seamless integration, scalability, and performance tuning
Strong DevOps mindset with a customer-first approach
Proficiency with Git (Bitbucket), code reviews, branching, tagging, pipelines, and CI/CD (Jenkins)
AWS Architecture & Automation
Active participation in AWS architecture planning (data perimeter, SCPs, legacy account migration, tagging/IAM strategies)
Automated creation of AWS accounts with base infrastructure (IAM policies, S3 settings, VPC Flow Logs, AWS Config, tagging, EC2 DNS records, backups, metrics onboarding) while ensuring policy compliance
AWS Services
Networking & Content Delivery: VPC, API Gateway, CloudFront, Route 53, Direct Connect, Transit Gateway, Elastic Load Balancing (ELB)
Compute: EC2, EC2 Auto Scaling, Lambda
Security & Compliance: IAM, GuardDuty, Inspector, Certificate Manager, Firewall Manager, Key Management Service
Databases: Aurora, DynamoDB, RDS, Redshift (SQL & NoSQL)
Storage: S3, EBS
Analytics: Glue, Athena, Kinesis
Application Integration: Step Functions, EventBridge, SNS, SQS
Cloud Financial Management: Cost Explorer, Budgets, Cost & Usage Reports
Containers: EKS, ECS, Fargate
Management & Governance: Organizations, CloudFormation, CloudTrail, CloudWatch, Service Catalog, CLI, Config, Systems Manager
Infrastructure as Code & Tooling
Advanced Terraform and Terragrunt for scalable infrastructure automation
Logging and monitoring with Splunk and New Relic
Security/risk mitigation tools such as Prisma and Wiz
Cloud networking tools such as Aviatrix
Development & Programming
Expert-level Python (cloud automation, infrastructure as code, AI/ML pipelines, API development, data processing)
Experience with Boto3 (AWS SDK for Python), PowerShell, and shell scripting
AI/ML experience: building generative AI solutions for automation, code generation, cost analysis, knowledge retrieval, and designing retrieval-augmented generation (RAG) pipelines with enterprise data sources
Implementing guardrails for AI systems to enforce content policies and compliance
Agile & Documentation
ITIL knowledge: incident management, problem resolution, change management
Agile practices: PI planning, sprint planning, backlog grooming, stand-ups, reviews, retrospectives
Proficient with Jira and Confluence for user story creation and project tracking
Code documentation in Bitbucket with clear comments and README files for maintainability
Troubleshooting
Strong ability to diagnose and resolve infrastructure, networking, and service-related issues to improve performance and reliability
Certifications
AWS Certified Solutions Architect – Professional
AWS Certified DevOps Engineer – Professional
HashiCorp Terraform Associate
