• You join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. • Partnering with your hiring manager, you: • Design, build, and maintain scalable cloud infrastructure for AI-driven applications. • Own and optimize CI/CD pipelines to enable fast and secure deployments. • Ensure system reliability, performance, and security in sensitive, mission-critical environments. • Work closely with ML engineers to deploy and scale models in production. • Automate infrastructure using Infrastructure as Code (e.g., Terraform). • Monitor systems, troubleshoot incidents, and continuously improve observability. • Sometimes you support field operations by acquiring sensor data on site and validating the technology through controlled field trials.

• Build, maintain, and enhance CI/CD pipeline templates to support services deployed into AWS and client-managed environments • Triage and resolve failed pipelines and deployments, conducting thorough root cause analysis and implementing corrective actions • Support codebases requiring new pipeline template development and modernization • Perform patching, administration, and lifecycle management of core DevOps tooling, including: SonarQube, Sonatype, Nexus, Harness, GitHub, Azure DevOps, and Jira • Lead and support GitHub repository onboarding and associated automation workflows • Operate, maintain, and tune security scanning tools, including rule configuration and optimization for SonarQube, Sonatype, and Nexus • Identify opportunities to improve pipeline efficiency, reduce technical debt, and strengthen secure delivery practices

• Build and maintain tooling to support applications in Kubernetes and Google Cloud Platform. • Work with development teams to build, ship, and deploy services. • Ensure smooth operations of production environments. • Create a self-service platform to accelerate developer velocity. • Participate in shared on-call rotation schedule.

• Take responsibility for the technical future of Placing‑Me • Rebuild the platform from scratch and have broad freedom to design it • Maintain and optimize the existing Laravel web application • Design and implement the system architecture (backend, frontend, admin panel) • Select and define the tech stack • Develop scalable, maintainable structures • Independently implement key features and core functionalities • Ensure performance, code quality and long‑term maintainability • Ensure and further develop the ongoing operation of the existing Laravel web app