Enterprise Software Engineer / Lead Enterprise

Enterprise Software Engineer / Lead Enterprise

Duration: 12 Months

Job Location: Canada (Remote)

Positions: 1

Time Zone: Must cover full US working hours

Responsibilities

• Lead the design, development, and deployment of Python-based cloud infrastructure management

and automation solutions.

• Architect and deploy scalable infrastructure as code (IaC) using tools like Terraform and Azure

DevOps.

• Integrate AI/ML technologies via API to automate cloud operations such as reporting, orchestration,

resource provisioning, scaling, monitoring, and optimization.

• Collaborate with solution architects and DevOps engineers to translate requirements into

programming specifications and build AI-driven automation pipelines for cloud management and

reporting tasks.

• Oversee the development and deployment of AI models in production environments for predictive

analytics related to cloud resource management and reporting using Python.

• Leverage advanced techniques with LLMs, RAG, and Prompt Engineering to solve complex

problems and explore new approaches.

• Implement version control and CI/CD pipelines for automated testing, deployment, and monitoring

of cloud applications.

• Mentor junior engineers and provide technical leadership in Python development, cloud

architecture, and automation best practices.

• Conduct code reviews on Python-based automation to ensure high-quality, maintainable code.
• Ensure security and data protection measures are implemented.
• Stay up to date with industry trends and emerging technologies related to Python development,

AI/ML, cloud computing, and API integrations.

Experience & Skills Required

• 5+ years of experience in Python development with strong focus on cloud automation.
• Strong experience writing clean, efficient, and scalable Python code including development of Web

APIs.

• Proficiency with Python frameworks such as Django or Flask.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Extensive experience with AWS (EC2, Lambda, S3) and Azure (App Service, Azure Functions)

services.

• Strong proficiency with Infrastructure as Code tools such as Terraform.
• Experience integrating AI/ML technologies into cloud management workflows (predictive scaling,

anomaly detection).

• Knowledge of containerization technologies such as Docker and orchestration platforms like

Kubernetes.

• Strong experience with API design, RESTful services, and thirdparty API integrations.
• Solid understanding of software development best practices including Git, testing, and CI/CD tools

such as Azure DevOps.

• Strong understanding of cloud security best practices including IAM policies and encryption

strategies.

• Experience with serverless architectures such as AWS Lambda and Azure Functions.

• Familiarity with monitoring tools such as Prometheus or Datadog.
• Understanding of software design patterns and scalable architecture principles.
• Experience with AI technologies including LLMs, RAG, and Prompt Engineering.
• Familiarity with Agile methodologies for project management.
• Excellent problemsolving skills and attention to detail.

Mandatory Skills

• 5+ years of Python development with strong experience in cloud automation
• Python frameworks (Django, Flask) and Python-based Web API development
• Cloud platforms: AWS and Azure services
• Infrastructure as Code (IaC): Terraform
• AI/ML integration in cloud operations
• Experience with LLMs, RAG, and Prompt Engineering
• Machine learning frameworks: TensorFlow, PyTorch or similar
• API development: RESTful APIs and third-party integrations
• Containerization & orchestration: Docker and Kubernetes
• CI/CD and version control: Git, Azure DevOps or similar tools
• Serverless architectures: AWS Lambda, Azure Functions
• Cloud security best practices
• Monitoring tools: Prometheus, Datadog or similar
• Software architecture and scalable system design
• Strong communication and collaboration skills