Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!Verified Job Source

Agent DevOps Platform Engineer

Toronto, ON
On-site
Posted Oct 2, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Apply by: Oct 30, 2026
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, build, and operate AI agents and automated CI/CD platforms that support software delivery across multiple programming ecosystems. Develop secure AWS cloud infrastructure, embed security and compliance into delivery pipelines, and establish reusable platform standards and self-service capabilities for engineering teams.

Job details

AGENT DEVOPS PLATFORM ENGINEER ROLE DESCRIPTIONS Design and operate AI agents that automate tasks across the software development lifecycle. Build and maintain fully automated CICD pipelines for various programming ecosystems. Ensure security and compliance in AI solutions from the start. Coach teams towards automation-first practices through practical examples. Define platform standards that delivery teams can adopt independently. ROLE SUMMARY AGENT DEVOPS PLATFORM ENGINEER A highly hands-on engineering role responsible for designing, building, and operating AI-driven software delivery platforms, DevOps automation, cloud infrastructure, and security-first CICD ecosystems. The engineer will develop and deploy production-grade AI agents, automate software delivery processes, build secure AWS-based platforms, and establish reusable DevSecOps standards across the organization. KEY RESPONSIBILITIES • Design and operate AI agents and agentic pipelines to automate SDLC activities such as testing, deployment validation, vulnerability remediation, and release management. • Build and maintain enterprise CICD platforms across Java, Python, Node.js, and .NET environments. • Develop cloud-native solutions on AWS using ECS, EKS, Lambda, ECR, CloudWatch, S3, Secrets Manager, and related services. • Implement Infrastructure as Code (IaC), containerization, Kubernetes orchestration, and DevOps automation. • Manage AWS IAM, security controls, identity governance, and least-privilege access models. • Embed security, compliance, vulnerability scanning, and automated remediation directly into delivery pipelines. • Define reusable platform standards, automation patterns, and self-service capabilities for engineering teams. • Provide technical leadership and guidance through practical implementation and working solutions. ESSENTIAL SKILLS • Experience with additional programming languages such as Java or .NET is beneficial. • Familiarity with Infrastructure as Code tools like Terraform or CloudFormation is a plus. • Knowledge of AI/LLM-based tools and their integration into platforms is advantageous. • Agile delivery experience using methodologies like Scrum or Kanban is helpful. • Prior work on agentic orchestration frameworks is a strong asset. • Strong experience in CICD automation and AWS infrastructure is essential. • Proficiency in Python for automation and API integrations is required. • Familiarity with containerization technologies like Docker and Kubernetes is necessary. • A solid understanding of DevSecOps practices is crucial for this role. • Experience in building AI-driven automation tools is a significant advantage. REQUIRED SKILLSETS • 3-5 years of hands-on CICD, cloud, and platform engineering experience in enterprise environments. • Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting. • Working experience with at least one additional language or ecosystem such as Java, .NET, Groovy, or Node.js. • Hands-on AWS experience designing or operating production workloads. • Practical knowledge of AWS IAM, including roles, policies, trust relationships, cross-account access, least privilege, and service-to-service authentication. • Production experience building and deploying containers with Docker and a container platform such as Kubernetes, Amazon ECS, or Amazon EKS. • Experience building or integrating AI/LLM-based tools or agents in production or near-production environments. • Strong understanding of LLMOps concepts prompt management, tool use, agent architectures, evaluation, observability, and reliability. • Experience with Git-based workflows, build automation, and release pipelines at scale. • Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments. • DevSecOps mindset security is a design constraint, not a checklist item. STRONG ASSETS • Experience with AWS services such as EKS, ECS, ECR, Lambda, Bedrock, CloudWatch, S3, Secrets Manager, Systems Manager, and VPC. • Experience with Terraform, CloudFormation, or AWS CDK. • Exper

What you’ll do

Requirements

Requires 3–5 years of enterprise CI/CD, cloud, and platform engineering experience, strong Python skills, hands-on AWS and IAM experience, and production experience with containers and Kubernetes, ECS, or EKS. Candidates should also have experience integrating AI or LLM tools, understand LLMOps and DevSecOps, and have working knowledge of at least one additional programming language or ecosystem.