Top Tech Jobs & Startup Jobs

Design, engineer, and integrate a secure, scalable cloud environment. Implement/manage cloud services, multi-cloud/hybrid solutions, IaC, networking (VPCs/subnets), security controls, monitoring/logging, cost optimization, auto-scaling, and disaster recovery. Maintain documentation and advise teams on cloud architecture and adoption.

Create and execute detailed test scripts, log deviations, improve testing through automation and peer reviews, and collaborate with development teams to resolve design issues during testing phases for federal clients.

Develop, train, fine-tune, evaluate, deploy, and optimize computer vision models (object detection, segmentation, classification, tracking) for geospatial, biometric, and 3D vision tasks. Build custom CV algorithms, create production tools and feedback loops, participate in data collection and preprocessing, conduct experiments, and document methodologies. Collaborate with engineers to integrate models into production systems.

Design, develop, validate, and deploy data-migration components to move legacy data into Oracle Cloud ERP. Build automated ETL/ELT processes, produce mapping and conversion specifications, execute mock and production conversions, troubleshoot loads, and coordinate post-conversion reconciliation with functional teams.

Design, build, and automate secure, scalable AWS cloud infrastructure and containerized workloads (EKS). Implement IaC, security/compliance controls (DISA STIGs), and CI/CD to enable development teams. Act as cloud SME, collaborate on cloud-native solutions, and support hybrid/private cloud integrations.

Lead and mentor a team of data governance analysts to operate the enterprise data catalog, monitor and remediate data quality, build governance dashboards (Tableau/Power BI), partner with data stewards to document business terms and lineage, and report governance status to leadership.

Design, build, and maintain AI/ML lifecycle services and infrastructure. Implement training, validation, deployment, and model serving. Create reusable libraries, orchestration, automated pipelines, monitoring, explainability, and version control. Apply MLOps practices, optimize models for scale, collaborate with data engineers, and provide technical guidance and troubleshooting.

Design, deploy, and maintain large-scale HPC and AI clusters. Manage job scheduling and orchestration (Slurm, Kubernetes), CI/CD pipelines, storage and networking, and GPU compute platforms. Troubleshoot from bare metal through OS and application stack. Support research, development, and operational activities and collaborate with scientists, developers, and systems specialists to enable AI/GPU workflows.

Provide Azure engineering support for installation, deployment, and maintenance of a Power Platform Task Management solution. Lead solution installation/configuration, deployment planning, escalated issue resolution, and on‑premises to cloud data migration. Collaborate on roadmap planning, release testing, and technical documentation. Serve as Azure architecture subject matter expert and technical leader across PowerApps, Dataverse, SharePoint, SQL Server, Active Directory, Exchange, and Office 365.

Support planning, execution, and analysis of full-spectrum cyber operations. Develop cyber targeting packages, operational TTPs/SOPs/CONOPs, evaluate cyber effects for CONPLANS/OPLANS, coordinate interagency and COCOM planning, capture lessons learned, and facilitate working groups and boards.