Top Engineering Jobs

Provide technical service and support for AI data center systems, including installation, maintenance, troubleshooting hardware and software, and collaborating with clients to ensure high-performance enterprise computing operations.

Investigate and troubleshoot client issues involving Enterprise Vault and Arctera eDiscovery Platform. Provide remote technical support, management, and monitoring; accurately log, categorize, and update incidents, problems, and service requests. Manage customer expectations, promote satisfaction, contribute to continual service improvement, and communicate effectively with clients and management while collaborating with colleagues.

Architect, optimize, and maintain global office network and cloud-edge infrastructure across 12 offices. Manage cloud hybrid networking (AWS/Azure), Microsoft Entra ID and Exchange Online, Windows/Linux servers, backup/DR (Azure Backup/ASR), monitoring, automation (PowerShell/Bash/Python), and act as Tier 3 escalation for complex infrastructure and security incidents.

Design and execute software test scenarios, run usability and reliability tests, and prepare effectiveness reports. Apply 7+ years of experience in architecting, developing, and troubleshooting large-scale infrastructure to ensure reliability and scalability.

Build and own full-stack features for an attribution platform: design systems, implement data pipelines and attribution models, write performant SQL and backend services, maintain PostgreSQL at scale on Google Cloud, and develop Vue/JavaScript front-end interfaces. Operate production systems, tune databases and servers, and collaborate with the CEO to ship reliable, user-facing product functionality end-to-end.

Hands-on Engineering Manager who leads a distributed team, architects data-driven systems, owns full lifecycle and production reliability, champions AI-assisted development, mentors engineers, and aligns technical decisions with business and patient outcomes.

Designs software usability test scenarios, executes tests, and prepares effectiveness reports. Requires a bachelor's degree in computer science, engineering, or a related technical field, plus 7+ years of experience architecting, developing, and troubleshooting large-scale infrastructure with demonstrated reliability and scalability expertise.

Lead design, implementation, testing, deployment, and operational support of software using a SecDevOps approach. Perform system integration, containerize and deploy services with Kubernetes/OpenShift, build CI/CD automated test scripts, troubleshoot in simulated environments, and document requirements and verification.

Manage cloud-based product deployments and services, deploy Red5 Pro, build and maintain CI/CD pipelines, automate deployments and monitoring, evaluate systems against industry standards, and support cross-functional engineering, customer, and sales teams.

Own end-to-end computer vision and deep learning research for automated construction drawing takeoff and estimation. Develop object detection, segmentation, structured extraction, and multimodal models using visual layout, geometry, and text. Design evaluation frameworks, determine effective data strategies, assess current research, and deploy models to production. The role requires strong Python and PyTorch expertise, GPU and distributed training experience, and practical computer vision research depth.