Senior AI & DevOps Engineer Azure AWS & Generative AI

Must-Have Skills

- 10 years of experience as a DevOps expert in cloud technologies primarily Microsoft Azure and AWS.

- Experience in setting up infrastructure and architecture for DevOps tools such as Git Jenkins Ansible Azure ARM Templates AWS CloudFormation etc. including ongoing support.

- Hands-on experience in CI/CD automation of build and release strategies and pipelines.

- Experience onboarding applications to start using CI/CD automation (e.g. Jenkins pipelines).

- Knowledge of infrastructure network and application security best practices including secure transport and storage of sensitive/private data.

- Hands-on scripting skills (Python Ruby Perl etc.).

- Code management and versioning via GitHub GitLab or other code repositories.

- Knowledge of ARM Templates and familiarity with containers such as OpenShift Kubernetes and Docker.

- Expert-level knowledge in Cloud Foundation design and Disaster Recovery scenarios.

- Experience preparing complex cloud designs and strong problem-solving skills including developing and deploying Infrastructure as Code (IaC) using Ansible Azure Bicep Terraform GitHub or other code repositories.

Good-to-Have Skills

- Exposure to Maven/Gradle Docker JFrog Artifactory and Cucumber.

- Experience with Docker and Docker orchestration products.

- Certification in Azure or AWS DevOps.

- Azure Administrator Associate and any one of the Architect certifications Microsoft Azure 70-534 or 70-535.

- Azure Solutions Architect Expert certification.

- Azure DevOps Engineer Expert certification.

- AWS Certified Solutions Architect certification.

- Experience handling multi-cloud platforms.

Technical Skills

1. Azure Fundamentals

- Comprehensive understanding of Azure services solutions and management tools.





- Familiarity with Azure architecture including regions availability zones and resource groups.

2. Infrastructure Management

- Proficiency in creating and managing virtual machines networks and storage solutions.

- Experience with Azure Virtual Network VPN Gateway and ExpressRoute.

3. CI/CD and DevOps

- Knowledge of continuous integration and continuous deployment (CI/CD) practices.

- Experience with Azure DevOps GitHub Actions and other CI/CD tools.

- Automating deployment processes using pipelines and Infrastructure as Code (IaC) with ARM Templates Ansible Bicep Terraform or GitLab.

4. Identity and Access Management (IAM)

- Managing identities and access with Azure Active Directory (Azure AD).

- Implementing role-based access control (RBAC) and managing security policies.

5. Database Management

- Expertise in Azure SQL Database Azure Cosmos DB and other database services.

- Skills in database design optimization and maintenance.

6. Security and Compliance

- Implementing security best practices and maintaining compliance with industry standards.

- Experience with Azure Security Center Azure Policy and Azure Sentinel.

7. Monitoring and Optimization

- Using Azure Monitor Log Analytics and Application Insights for performance monitoring and optimization.

- Troubleshooting and resolving issues to ensure high availability and reliability.

8. AI Automation

- Building and shipping GenAI or LLM-driven products.





- Advanced Python (FastAPI PyTorch Hugging Face) plus proficiency in TypeScript/ Go or Java.

- Production experience on AWS or Azure with GPU workloads (SageMaker Bedrock Maven JFrog Azure ML).

- Solid grasp of algorithms distributed systems and data engineering (LangChain Spark Kafka Delta Lake).

- Commitment to responsible AI data governance and cybersecurity best practices for critical infrastructure.

Soft Skills

1. Problem-Solving

- Analytical thinking and the ability to troubleshoot complex issues.

- Creativity in designing innovative solutions.

2. Communication

- Effective communication with technical and non-technical stakeholders.

- Ability to document and present architectural designs and solutions clearly.

3. Continuous Learning

- Staying updated with the latest Azure features best practices and industry trends.

- Pursuing relevant certifications and training programs.

Responsibilities

- Set up and support DevOps tools: Jenkins Git Ansible Azure ARM Templates AWS CloudFormation etc.

- Build and implement CI/CD automation setups for build and release pipelines.

- Establish and roll out standard release strategies.

- Implement Infrastructure as Code on Azure and AWS using Ansible.

- Establish standards based on the organizational ecosystem and industry best practices.

- Implement various development testing automation tools and IT infrastructure.

- Define and set up development test release update and support processes for DevOps operations.

- Review verify and validate software code developed in the project.

- Apply troubleshooting techniques and fix code bugs.

- Monitor processes throughout the entire lifecycle to ensure adherence and update or create new processes for continuous improvement.

Required Skills:

Salesforce

📌 Senior AI & DevOps Engineer – Azure, AWS & Generative AI (Calgary)
🏢 Astra North Infoteck
📍 Calgary