• Design, build, and maintain secure and scalable cloud infrastructure within Google Cloud Platform • Support deployment, monitoring, reliability, and performance of cloud-based applications and services • Develop and improve infrastructure automation and deployment processes • Build and maintain CI/CD pipelines • Partner with engineering teams to streamline application releases and cloud operations • Monitor production environments and assist with troubleshooting, incident response, and root cause analysis • Improve cloud security, access controls, logging, monitoring, and operational standards • Identify opportunities to improve infrastructure reliability, scalability, and cost efficiency • Create and maintain technical documentation, runbooks, and operational procedures • Collaborate with distributed technical teams across locations and time zones

• Support the Veeam Data Cloud SaaS platform’s Government and Sovereign Cloud environment • Map platform systems, workloads, dependencies, and risk areas • Work with subject-matter experts to fill knowledge gaps and build onboarding material • Write and maintain runbooks, architecture documentation, and operational guides • Design highly available and fault-tolerant infrastructure on Azure, including Azure Government • Define SLIs, SLOs, and error budgets • Lead incident response and blameless postmortems, converting incidents into improvements • Identify reliability risks and develop remediation plans within compliance constraints • Define observability instrumentation requirements and drive implementation • Establish alerting, telemetry, and monitoring standards • Build automation to reduce toil and support fleet management • Participate in on-call rotations • Work with infrastructure as code, CI/CD, deployment automation, and configuration management in air-gapped or compliance-restricted environments • Build and maintain testing, canary deployment, and release validation pipelines • Integrate chaos engineering and monitoring tools • Collaborate across product, platform, security, legal, compliance, and operations teams • Own reliability problems end-to-end and drive solutions • Mentor engineers and spread SRE practices across the organization

• Build reliability practices for Veeam Data Cloud’s Government and Sovereign Cloud environment • Map platform systems, dependencies, workloads, and risk areas • Create onboarding materials, runbooks, architecture documentation, and operational guides • Design highly available and fault-tolerant infrastructure on Azure and Azure Government • Define SLIs, SLOs, and error budgets • Lead incident response and blameless postmortems • Identify reliability risks and develop remediation plans within compliance constraints • Define observability instrumentation requirements and drive implementation • Establish alerting, telemetry, and monitoring standards • Build automation to reduce toil and support fleet management • Participate in on-call rotations • Work with IaC, CI/CD, deployment automation, and configuration management in air-gapped or restricted environments • Build and maintain testing, canary deployment, and release validation pipelines • Integrate chaos engineering and monitoring tools • Collaborate with product, platform, security, legal, compliance, and operations teams • Own reliability problems end-to-end and drive solutions • Mentor engineers and spread SRE practices across Veeam

Role Description We are seeking an experienced Implementation Engineer to lead the successful deployment of AIQ Ops across GP Strategies and customer environments. As the technical bridge between Product Engineering, Managed Learning Services, Customer Success, and client technology teams, you will be responsible for: - Configuring integrations - Onboarding new customers - Troubleshooting technical issues - Ensuring customers achieve maximum value from the platform This is a highly collaborative and customer-facing role ideally suited to someone who enjoys solving complex technical challenges while delivering measurable business outcomes. Qualifications - Experience implementing SaaS solutions within enterprise environments - Experience integrating cloud applications using REST APIs - Strong understanding of authentication technologies including SSO, OAuth, and SAML - Experience working with Microsoft Azure and Microsoft Entra ID - Strong troubleshooting, analytical, and problem-solving skills - Customer-facing implementation, consulting, or technical delivery experience - Experience working within Agile product and development environments - Excellent stakeholder management and communication skills - Strong written and verbal communication abilities Requirements - Experience implementing Learning Management Systems (LMS) - Experience within Learning & Development technology environments - Microsoft Power Platform knowledge - SQL and reporting experience - Workflow automation experience - Exposure to DevOps and CI/CD practices - AI platform implementation experience - Experience supporting enterprise software deployments Benefits At GP Strategies, growth is more than a business objective—it's our purpose. As an Implementation Engineer, you'll play a key role in deploying AI-powered solutions that transform learning and workforce services for global organizations. This role offers significant opportunities to: - Expand your technical expertise - Strengthen customer engagement skills - Advance your career within a leading learning and talent transformation organization