Top Tech Jobs & Startup Jobs

Develop and automate secure Microsoft Azure cloud capabilities for Department of Defense environments. Build software solutions, infrastructure as code, cloud provisioning processes, Azure Landing Zones, policies, and platform services using Terraform. Support cloud networking, containerization, security tooling, monitoring, and virtual desktop deployments. The role requires Secret clearance and the ability to obtain a DoD IAT Level II certification within 30 days.

Designs and implements OCI FinOps capabilities covering cost allocation, chargeback, budgeting, forecasting, optimization, reporting, and governance. Integrates cloud billing and usage data with financial, reporting, data warehouse, and business intelligence platforms. Builds automated dashboards, alerts, anomaly detection, and cost analysis while applying cloud optimization and secure data-sharing practices. Collaborates with finance, procurement, engineering, cybersecurity, Oracle, and customer stakeholders. Requires active TS/SCI clearance and extensive cloud, FinOps, analytics, or financial operations experience.

Lead the architecture, implementation, operation, and security of Oracle database environments supporting mission and enterprise workloads. Design geospatial data models and spatial services, implement Oracle AI Database capabilities, and establish access controls, auditing, privileged-access protections, and security policies. Lead technical and security reviews, resolve complex database issues, document and test controls for RMF and ICD 503 compliance, and produce architecture diagrams, implementation plans, test procedures, and operational runbooks.

Designs, implements, and optimizes secure Oracle Database solutions for enterprise and mission workloads. Responsibilities include logical and physical data modeling, multi-model and geospatial data management, AI database integrations, migration strategy, data quality validation, performance tuning, backup and recovery, security, troubleshooting, and operational support. Collaborates with application, AI, data engineering, cloud, security, and customer teams. Requires 8+ years of experience, a bachelor’s degree, and active TS/SCI clearance with polygraph willingness.

Designs, deploys, secures, and operates OCI cloud security solutions and integrates audit, logging, monitoring, and telemetry with enterprise SIEM platforms. Develops secure log-collection architectures, validates data integrity and coverage, troubleshoots ingestion and mapping issues, and creates architecture diagrams, test plans, dashboards, runbooks, and stakeholder communications. Supports secure cloud onboarding, authorization, and ongoing operations in mission-focused environments.

Designs, builds, deploys, and maintains scalable cloud-native data platforms, pipelines, data lakes, warehouses, and analytics solutions. Supports cloud migration, data science, AI/ML, and business intelligence initiatives while processing structured and unstructured data. Collaborates with analysts, developers, engineers, and data consumers in agile teams, provides technical guidance, and evaluates cloud analytics technologies and architectures.

Leads enterprise data pipeline and database architecture across Oracle AI Database 26ai and OCI. Designs multimodal relational, spatial, JSON, and graph solutions; manages Oracle migrations, replication, recovery, data quality, lineage, and monitoring. Guides engineers, leads technical reviews, resolves complex data issues, and develops models, migration plans, runbooks, documentation, and stakeholder communications. Requires extensive database or data engineering experience and an active TS/SCI clearance.

Build and deploy reliable AI agents that automate client workflows and integrate with enterprise systems. Responsibilities include mapping processes, designing automation roadmaps, developing evaluation frameworks and regression tests, monitoring agent performance, instrumenting audit trails, scaling systems to production, and leading workforce adoption and change management. The role also codifies reusable patterns across engagements and requires customer-facing collaboration, production AI experience, Python or TypeScript development, Secret clearance, and up to 10% travel.

Develops and deploys machine learning models and data solutions using Python, R, and SQL. Responsibilities include data cleansing, statistical analysis, visualization, dashboard and web application development, system integration, and applying supervised and unsupervised learning to structured and unstructured data. The role involves advising clients, guiding teammates, developing algorithms, and working with data-rich environments. A TS/SCI clearance with polygraph and bachelor's degree are required.

Design and build resilient data pipelines integrating files, APIs, services, databases, and mission sources. Develop extraction, normalization, enrichment, validation, cataloging, routing, ingestion, and event-driven workflows. Preserve geospatial metadata, provenance, lineage, security attributes, and data quality. Apply AI, RAG, MCP, and agentic capabilities to improve data discovery and access. Build Node.js applications and Oracle Database integrations while collaborating with engineering, cloud, security, AI, and mission teams.