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