Role Description Join #Ensiteam! 🚀 We are a company focused on custom software development and have been in the market for over 19 years. At Ensitech, we are dedicated to finding highly specialized talent to work with large companies in the United States, Europe, and Canada. Each one of our collaborators works with diverse teams and colleagues around the world in the design and commercialization of software. We look forward to having you as part of our team in the role of Azure Cloud Engineer. - Manage and maintain Azure cloud infrastructure and hybrid environments. - Design and implement Infrastructure as Code (IaC) using Terraform. - Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions. - Administer and support Windows Server environments and Active Directory. - Implement Azure security best practices, including Key Vault, Defender, and identity management. - Monitor and optimize system performance using Azure Monitor and Log Analytics. - Support cloud migrations and infrastructure modernization initiatives. - Ensure high availability, disaster recovery, and security compliance within healthcare environments. - Collaborate with cross-functional teams to integrate and maintain healthcare IT systems aligned with compliance requirements (HIPAA). Qualifications - Proven experience as a Senior Azure / Windows Systems Administrator. - Strong expertise in Microsoft Azure cloud architecture and services. - Experience with Terraform for infrastructure automation. - Hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions). - Solid scripting skills with PowerShell. - Experience with Azure security tools such as Key Vault and Microsoft Defender. - Knowledge of monitoring tools like Azure Monitor and Log Analytics. - Strong experience with Windows Server, Active Directory, and networking. - Experience supporting hybrid cloud environments and migrations. - Familiarity with healthcare IT systems and HIPAA compliance is highly desirable. - English level: B2 or higher. Requirements - Strong problem-solving and analytical skills. - Effective communication with distributed teams. - Proactive mindset and ownership of tasks. - Ability to work in dynamic and collaborative environments. Benefits - 100% remote opportunity. - Competitive compensation package. - Career growth with international clients. - Opportunities to work with cutting-edge technologies. - A team focused on personal development and learning.

• Own end-to-end budgeting, forecasting, and analysis of cloud spend across multiple cloud and AI vendors, identifying usage trends and areas for optimization and efficiency gains • Build and maintain detailed bottoms-up financial models for cloud infrastructure spend, including long-range forecasts, cost driver analyses, and investment scenario modeling • Partner with Engineering, Product, and Finance teams to design and execute cloud cost optimization initiatives, including savings plans strategies and resource right-sizing • Support contract negotiations through scenario modeling of cloud usage, pricing, and discount structure • Build and maintain cloud & AI unit economics reporting and forecasting including cost allocation models that connect cloud cost impact to product roadmap • Improve tools, data pipelines, and automation (ETL, APIs, ML forecasting models) that enhance cloud financial management and spend prediction • Develop dashboards, automated reporting, and executive-level reviews to track cloud spend, efficiency metrics, and KPIs

• Tech lead two teams (DevEx and Cloud Infrastructure) totaling 6–8 engineers: set technical direction, review key designs/changes, and raise engineering standards across both domains. • Own the delivery toolchain end-to-end (Git, CI, deployments/releases): reduce flakiness, improve build/test times, make releases repeatable with clear rollback, and drive adoption of org-wide standards through tooling, docs, and supported migrations. • Own the reliability and scalability of Traackr's cloud infrastructure: keep production well-architected, cost-efficient, and resilient. Lead incident response and blameless postmortems; drive preventive improvements. • Improve the software development lifecycle (setup → build/test → PR → deploy → observe) and standardize environments so teams spend less time on tooling and more time shipping. • Identify high-value opportunities to integrate AI into developer workflows — e.g. code review, onboarding, or internal search — with sensible defaults around security and data handling. • Mentor engineers and raise the bar through documentation, pairing, and lightweight coaching.

• Lead the architecture of scalable, high-availability GNSS corrections cloud services • Lead the architecture and design of services necessary for high availability • Lead design of external service APIs • Collaborate closely with cross-functional teams • Lead effort to move to a multi-tenant, highly scalable cloud architecture