Job Requirements
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.
The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:
What You Will Do
As a
Senior DevOps Engineer, you will be responsible for building, automating, and managing the Workforce Experience Platform (WXP) infrastructure on AWS. You will work closely with engineering teams to design and operate scalable cloud-native platforms, deploy Kubernetes-based microservices, implement CI/CD automation, and develop reusable deployment frameworks that accelerate region-wise onboarding and expansion while ensuring platform reliability, security, observability, and operational excellence.
What You Will Bring
- Build and optimize CI/CD pipelines for application, microservices, and infrastructure deployments across multiple environments and regions, including Azure DevOps Pipelines and YAML-based configurations.
- Design, build, and manage scalable AWS cloud infrastructure and Kubernetes (EKS) environments for cloud-native applications and AI services.
- Develop and maintain Infrastructure as Code (IaC) using Terraform, Terragrunt, and Ansible to enable consistent and automated deployments.
- Design and implement reusable deployment templates, accelerators, and onboarding frameworks to enable rapid region-wise deployments and expansion.
- Deploy, manage, and support containerized microservices on Kubernetes, ensuring high availability, reliability, and scalability.
- Implement and enhance monitoring, observability, alerting, and incident management using CloudWatch, Grafana, Splunk, SNS, and SQS.
- Develop and support GenAI solutions, including AI Agents, Skills, RAG pipelines, and AWS Bedrock-based services for enterprise applications.
- Collaborate with cross-functional teams to drive platform modernization, automation, operational excellence, and AI-driven engineering practices.
Required Skills
- 10+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering (SRE).
- Strong knowledge of CI/CD pipelines, Git, SonarQube, deployment automation, and release management.
- Strong hands-on expertise with AWS services, including EC2, EKS, S3, RDS, IAM, CloudWatch, SNS/SQS, and Lambda.
- Experience with Kubernetes (EKS), Docker, and deployment of large-scale cloud-native microservices, maven
- Hands-on experience with Terraform, Terragrunt, Ansible, and Infrastructure as Code (IaC) practices.
- Strong experience with monitoring, observability, troubleshooting, and production support using DataDog, Splunk, and CloudWatch.
- Experience designing reusable deployment templates and multi-region deployment frameworks.
- Strong problem-solving, communication, and stakeholder collaboration skills.
Nice-to-Have Skills
- Experience delivering global or region-wise deployments using configuration-driven deployment models.
- Experience with AWS Bedrock Agents, AgentCore, vector databases, embeddings, and semantic search solutions.
- Knowledge of AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
- Exposure to AI-powered DevOps capabilities such as intelligent monitoring, automated RCA, and self-healing systems.
- Knowledge of SRE practices, performance engineering, capacity planning, and cloud cost optimization.
- AWS, Kubernetes, Terraform, DevOps, or Cloud certifications.
Pay Range: $1,00,000-$1,20,000/Annum (Canadian Dollars)
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements
This role is considered an on-site position located in Vancouver, Canada
- You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.
Benefits
Full-time (Regular)
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Referral program
- Vision insurance
- Short/Long Term Disability
