Top Tech Jobs & Startup Jobs

Design, develop, test, and maintain scalable MLOps software and microservices. Build containerized workloads, CI/CD pipelines, Airflow/Kafka data workflows, and databases (SQL/NoSQL). Automate ML training/deployment, implement APIs, infrastructure-as-code, and support petabyte-scale HPC analytics. Lead and mentor team members and participate across the software development lifecycle.

Design, develop, and maintain cyber-analytic applications. Build scalable backend systems and responsive user interfaces. Collaborate with cyber SMEs, data scientists, and engineers to translate technical requirements, apply AI/ML familiarity, and implement DevOps principles for automation, monitoring, and reliability.

Design, develop, and deploy data science and MLOps solutions using Python on Linux, working with petabyte-scale data and supercomputing resources. Collaborate with data engineers, document processes, use CI/CD and GitOps practices, and deliver reproducible, testable code to support national security missions.

Develop and refine predictive models, perform exploratory data analysis, and generate AI-driven insights for DoD missions. Integrate multi-source data, apply geospatial analytics, iterate models via Agile sprints, produce performance and cost reports, and optimize analytic workflows for operational deployment.

Design and implement advanced ML models for real-time forecasting and decision support, ensure data provenance and lineage, integrate federated geospatial and multi-format data, produce ROM and quarterly cost/resource reports, and apply Agile sprint practices to deliver mission-aligned analytics for DoD/IC customers.

Design, develop, and maintain domain ontologies to enable semantic data integration, search, and AI-assisted decision support. Ensure W3C standards (RDF/OWL/SHACL) compliance, align metadata across Databricks Unity Catalog, GIS systems and operational stores, collaborate with data scientists for tagging/entity resolution, and produce ontology governance reports.

Support a US government customer in Chantilly, VA by applying advanced analytics, statistical modeling, and machine learning to cyber-related data. Collaborate with cyber SMEs to build AI/ML models and analytics, work with cyber datasets (e.g., Shodan, Censys.IO), manage and process large volumes of unstructured text, and operate in Linux and Windows environments. Requires active TS/SCI with poly.

Design, implement, and manage IAM solutions across cloud and on-prem environments; enforce Zero Trust and RBAC; integrate Entra ID/PKI/CAC; automate provisioning/deprovisioning; produce IAM compliance reports and ensure DoD IL2/IL4/IL5 security compliance.

Design, deploy, and maintain Kubernetes clusters (IL2/IL4/IL5) supporting ESRI ArcGIS services. Build Helm charts and Operators, manage storage (PVCs, AWS EBS, Azure Disks), integrate monitoring/logging (Prometheus, Fluentd, OpenTelemetry, Grafana, ELK), and automate CI/CD and IaC (Terraform/Ansible) for secure, compliant cloud-native workloads.

Lead development, deployment, and evaluation of enterprise-scale predictive and prescriptive analytics for a DoD mission. Establish frameworks separating data science and engineering, coordinate compute/storage resources, ensure governance/compliance, oversee Agile analytic sprints, and deliver strategy and implementation reporting integrating AI/ML into operational workflows.