Top Tech Jobs & Startup Jobs

Support design and documentation of cloud and on-premises data solutions; translate mission needs into technical requirements; create architecture diagrams and technical materials; research technologies; participate in discovery and design discussions; collaborate with engineers to align implementations; communicate clearly to technical and nontechnical stakeholders while supporting a federal health data modernization mission.

Lead architecture for a federal health data modernization program, designing scalable hybrid-cloud data platforms, APIs, and integration patterns. Translate mission and security requirements into target-state architectures, guide legacy modernization, produce design artifacts, and collaborate with engineers, technical leads, and stakeholders to deliver secure, interoperable data products.

Design scalable hybrid/cloud data platform solutions for a federal health modernization initiative. Translate mission, data, security, and operational requirements into architectures, integration patterns, and documentation. Support Databricks and multicloud deployments, integrate legacy and modern systems via APIs and pipelines, collaborate with engineers and stakeholders, and enforce governance, security, and operational standards.

Design, build, and maintain scalable production data pipelines and APIs in a Databricks/Spark environment. Integrate and transform diverse health, financial, and operational datasets into reusable data products, implement data validation and governance, optimize pipeline performance, and collaborate with engineers, architects, and stakeholders to deliver reliable analytics datasets and platform capabilities.

Support implementation and maintenance of cybersecurity controls across cloud and platform environments for DoD missions. Perform RMF and ATO activities in eMASS, vulnerability scanning and remediation, incident response, security assessments, and documentation (SSPs, POA&Ms). Collaborate with engineers to integrate DevSecOps practices, secure containers and cloud-native apps, and maintain compliance with NIST/DoD frameworks.

Design, implement, and maintain secure CI/CD pipelines, Infrastructure-as-Code (Terraform), and containerized cloud services. Integrate security throughout the SDLC, support deployment and operation of cloud-native data pipelines, manage vulnerabilities and secure configurations, implement cloud security controls and IAM, monitor system performance and compliance, and produce documentation and runbooks while collaborating with cross-functional teams in regulated environments.

Build and scale AI/ML-enabled features across frontend, backend, and data pipelines. Productionize ML models, deploy MLOps workflows, integrate inference APIs, optimize data models, ensure reliability, and collaborate with cross-functional teams for mission-critical analytics.

Design, build, and maintain secure, scalable cloud infrastructure and platform services (primarily in GCP) to support near real-time ingestion, processing, and analysis of high-volume time-series data. Implement containerized workloads, IaC (Terraform/Deployment Manager), CI/CD pipelines, cloud networking, IAM, and Zero-Trust controls. Troubleshoot production systems, collaborate with architects and stakeholders, produce documentation and runbooks, and ensure mission compliance in highly regulated environments.

Lead technical architecture and delivery of a Google Cloud-based, containerized, near real-time data platform. Design scalable, secure distributed systems, guide CI/CD and event-driven integrations, support engineering teams, produce architecture documentation, and liaise with mission stakeholders in a DoW environment requiring active clearance.