DevOps Engineer

Toronto, ON
On-site
Posted Oct 17, 2026
1 position

Opens LinkedIn

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Build and operate enterprise CI/CD, cloud, and platform engineering solutions, including production AWS workloads, container deployments, infrastructure automation, and secure identity and access patterns. Build or integrate AI/LLM tools and agents into production or enterprise developer platforms, with attention to evaluation, observability, reliability, and security.

Job details

"Required Skillsets: • 3–5+ years of hands-on CI/CD, 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 Good to have skills • 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 • Experience designing multi-account AWS environments and implementing enterprise identity and access patterns • Familiarity with Kubernetes operations, Helm, service accounts, ingress, networking, and workload security • Experience integrating AI into developer platforms or enterprise tooling, rather than only building standalone applications • Prior work on agentic orchestration frameworks such as LangChain, LlamaIndex, or custom toolchains • Experience enabling DevOps practices across multiple teams or business units • Agile delivery experience using Scrum, Kanban, or SAFe “Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.” *Disclaimer: This E-Mail may contain Confidential and/or legally privileged Information and is meant for the intended recipient(s) only. If you have received this e-mail in error and are not the intended recipient/s, kindly notify us at itsupport@tekshapers.com and then delete this e-mail immediately from your system. You are also hereby notified that any use, any form of reproduction, dissemination, copying, disclosure, modification, distribution, and/or publication of this e-mail, its contents, or its attachment/s other than by its intended recipient/s is strictly prohibited and may be unlawful. Internet communication cannot be guaranteed to be secured or error-free as information could be delayed, intercepted, corrupted, lost, or contain viruses. Tekshapers. does not accept any liability for any errors, omissions, viruses or computer problems experienced by any recipient as a result of this e-mail.

What you’ll do

Requirements

Requires 3–5+ years of hands-on CI/CD, cloud, and platform engineering experience, strong Python skills, experience with another programming language or ecosystem, and production AWS and container-platform experience. Candidates should also have practical AWS IAM, Infrastructure as Code, Git-based release pipeline, and AI/LLM or LLMOps experience; experience with Terraform, Kubernetes operations, and enterprise-scale DevOps is advantageous.