Role Description We are looking for a skilled GCP DevOps Engineer to design, automate, and support cloud infrastructure and CI/CD pipelines across multiple client environments. The ideal candidate will bring strong DevOps and SRE expertise to ensure high reliability, performance, and secure operations across distributed systems. Key Responsibilities - Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or Azure DevOps - Implement Infrastructure-as-Code using Terraform and Ansible - Manage multi-cloud environments (AWS, Azure, GCP) including VMs, storage, networking, load balancers, and VPNs - Define and monitor SLOs/SLIs; drive incident response, root cause analysis, and preventive actions - Implement failover, backup, and disaster recovery strategies - Deploy and support Docker and Kubernetes workloads (AKS, EKS, GKE); manage Helm charts and GitOps workflows with ArgoCD - Configure monitoring, logging, and alerting using Prometheus, Grafana, ELK/EFK, Datadog, and New Relic - Implement DevSecOps practices including vulnerability scanning, image scanning, and secrets management - Enforce IAM policies, RBAC controls, and network segmentation; support ISO 27001 and SOC2 compliance - Collaborate with development, QA, and support teams; prepare runbooks and mentor junior engineers Qualifications - AWS, Azure, and GCP cloud services - Terraform, Ansible, ARM, CloudFormation - CI/CD: Jenkins, GitLab CI, GitHub Actions, Azure DevOps - Docker, Kubernetes, Helm, GitOps, ArgoCD - Linux administration, Python, Bash scripting - Networking: VPC/VNet, DNS, Load Balancer, SSL, Routing - Monitoring: Prometheus, Grafana, ELK/EFK, Datadog Preferred Skills - AWS, Azure, or GCP DevOps/Architect certification - CKA or CKAD certification - Google Cloud Engineer certification - Bachelor's degree in Computer Science, Engineering, or a related field Location & Work Model Remote - Canada Engagement Details Contract engagement. Immediate start preferred. Apply with your updated resume and relevant certifications.

Role Description In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. We are seeking strong Software Engineers to join our customer's team with expertise in: - Python3 - Java - Rust - Go - C++ - TypeScript This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting. Qualifications - Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset. - Deep understanding of algorithms, data structures, and performance tuning. - Demonstrated experience in debugging complex software issues and delivering maintainable solutions. - Strong background in feature development and codebase refactoring. - Proven ability to optimize software for performance and scalability. - Exceptional written and verbal communication skills, with a keen attention to detail. - Track record of success in collaborative, cross-functional teams, ideally in remote settings. Requirements - Previous experience working on large-scale, distributed codebases. - Familiarity with modern AI or machine learning systems is a plus, though not required. - Background in participating in rigorous code reviews and contributing to the development of software best practices.

• Design, build, and maintain GitHub CI/CD pipelines to automate application deployments across multiple environments • Administer and support Azure cloud infrastructure, including provisioning, configuration, networking, and ongoing system maintenance • Develop and maintain Infrastructure as Code (IaC) solutions using Terraform to automate cloud resource provisioning • Create and maintain PowerShell scripts and platform automation to improve operational efficiency and deployment consistency • Collaborate with cross-functional engineering teams to implement DevOps and DevSecOps best practices, troubleshoot production issues, and improve platform reliability while maintaining technical documentation and participating in Agile ceremonies • Leverage AI-powered development tools to accelerate engineering activities, automate routine tasks, and improve development workflows • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project

• Design, build, and operate highly available, scalable systems in AWS • Write, maintain, and review Terraform to provision and manage infrastructure • Own and improve monitoring, alerting, and observability using Grafana, Pingdom, and Uptrends • Participate in a rotating on-call schedule, responding to production incidents and driving issues to resolution • Lead incident response, root cause analysis, and post-incident reviews with a focus on prevention and automation • Define and manage SLOs, SLIs, and error budgets • Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub • Work directly with application teams to improve reliability, performance, and deployability • Automate manual operational tasks to reduce toil • Maintain clear, actionable runbooks and documentation in Confluence • Track work, incidents, and operational improvements using Jira and ServiceNow • Mentor other engineers and help set SRE standards and best practices