Top Tech Jobs & Startup Jobs

Design, operate, and maintain secure CI/CD/DevSecOps pipelines (Jenkins, GitLab CI) in government cloud (GovCloud/IL6+). Integrate static/dynamic analysis and vulnerability scanning, implement automated tests, manage cloud infrastructure and IaC, ensure compliance, and remediate security vulnerabilities. Requires Kubernetes expertise and technical documentation.

Support end-to-end integration and configuration of Nuvolo and ServiceNow, manage CMDB governance and change requests, maintain CI data across Jira/Confluence/GitHub, support Agile/DevOps release management, and provide technical subject-matter expertise and documentation.

Architect, build, and deploy secure, scalable GCP infrastructure and foundational services. Execute large-scale workload and data migrations to GCP, implement IaC (Terraform) and CI/CD, and use containerization (Docker, Kubernetes/GKE). Ensure compliance with federal security and Zero Trust principles, monitor performance, troubleshoot migrations, and optimize costs.

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.