Senior Platform and DevOps Engineer

Job Description

Role: Sr Platform & DevOps Engineer

Location: Remote, Canada.

Long term Contractual.

Overview

We are seeking Senior Platform & DevOps Engineers who can own both infrastructure reliability and CI/CD pipeline development.

This is a deliberately broad role: engineers are expected to maintain production platform health, build and operate developer tooling, and actively integrate AI capabilities into the platform layer — including Snowflake Cortex, Azure AI Foundry, and LLM API consumption for pipeline automation and observability enrichment. AI-assisted development tooling (GitHub Copilot, Cursor) is expected as part of the standard workflow.

Key Responsibilities

• Monitor platform health and data feeds daily to ensure continuity and accuracy of operations
• Respond to system alerts, investigate incidents, and perform root cause analysis to prevent recurrence
• Architect and implement scalable microservices in Python and Go
• Design, build, and maintain GitLab CI/CD pipelines with AI-integrated workflow automation
• Integrate Snowflake Cortex and Azure AI Foundry capabilities into data and platform workflows
• Manage deployments and operations via Kubernetes CLI and GitOps workflows
• Integrate with AWS services including S3, Lambda, SQS, and EC2
• Implement secure authentication and authorization using EntraID
• Manage and rotate secrets, credentials, and access keys per security best practices
• Perform regular patching, upgrades, and maintenance with minimal service disruption
• Participate in on-call rotations to support production systems

Required Qualifications:

• 6+ years of combined experience in DevOps, Site Reliability Engineering, or platform engineering
• High-level proficiency in Python and Go
• Strong experience with Kubernetes CLI, GitOps workflows, and GitLab CI/CD
• Hands-on experience with Azure and/or AWS cloud services
• Working knowledge of Snowflake Cortex or equivalent AI/ML-integrated data platform capabilities
• Familiarity with LLM API consumption and prompt engineering for automation use cases
• Familiarity with Azure EntraID for identity and access management
• Active proficiency with AI-assisted development tools (GitHub Copilot, Cursor, or equivalent)
• Proficiency in Python for data manipulation (Pandas, Snowpark, Polars, or PySpark)

Preferred Qualifications

• Experience with Helm, Jinja-based templating, and Kubernetes networking
• Familiarity with Azure AI Foundry and ML model deployment pipelines
• Experience integrating ML models into cloud-native services
• Knowledge of observability stacks: Prometheus, Grafana, Splunk

Technology Stack:

AWS (S3, Key spaces, CloudWatch, Certificate Authority, EC2, shield), Kubernetes, Helm, Istio, Grafana, Splunk, Locust, Java, Spring Boot, GitLab CI/CD, Terraform, Kafka, Snowflake, Snowflake Cortex, Azure AI Foundry, Python, Go

Regards,

Purnima Pobbathy

Senior Technical Recruiter

972 737 8626

|

purnima@themesoft.com

|Themesoft Inc |