Top Tech Jobs & Startup Jobs

Designs, deploys, secures, and operates Oracle Cloud Infrastructure identity solutions in regulated government environments. Integrates cloud applications with enterprise IAM platforms, implementing federation, SSO, MFA, lifecycle management, RBAC, ABAC, and least-privilege access. Troubleshoots identity protocols and authentication flows, applies Zero Trust principles, supports RMF and authorization activities, develops security evidence and procedures, and coordinates with government, security, and technical stakeholders.

Creates infographics, cartographic products, data visualizations, presentations, and multimedia graphics that communicate complex intelligence data. Collaborates with clients and stakeholders to define requirements, develop visual concepts, recommend multimedia solutions, and deliver mission-focused products for senior and executive audiences. Supports creative direction, client discussions, timelines, brand guidelines, and high-visibility public materials within government or defense environments.

Develops statistical analyses, predictive models, machine learning algorithms, and data visualizations from structured and unstructured data. Works with clients to identify data-driven solutions, query and transform relational data, guide teammates, and create systems that support informed decisions. The role requires collaboration in data-rich environments and may support intelligence, operations, fraud detection, or research applications.

Build and improve scalable DataOps and data engineering solutions for the Department of Veterans Affairs. Design, implement, and maintain cloud or hybrid ETL/ELT pipelines; improve data quality, validation, automation, governance, and discoverability; and support secure, highly available data services. Evaluate architectures, integration points, ingestion patterns, orchestration, storage, CI/CD, and monitoring solutions while partnering with engineers, architects, product teams, and stakeholders.

Maintain and secure cloud infrastructure through systems administration, patching, hardening, vulnerability management, and security automation. Develop security tooling, integrate security into CI/CD pipelines, conduct log analysis, threat hunting, and forensic investigations, and support compliance with NIST, ISO 27001, FedRAMP, and SOC 2. Build and deploy operational system images while evaluating emerging threats and improving monitoring and protections.

Assess software-related system risks using analytical safety methods rather than primarily developing software. Responsibilities include evaluating complex real-time and embedded systems, applying software development lifecycle and programming standards, decomposing requirements, verifying tests, supporting deployment, and collaborating with multidisciplinary stakeholders. The role requires experience with object-oriented programming, operating systems, compilers, development tools, and high-reliability architectures, plus a Secret clearance.

Implements validated AI solutions for customers, integrating enterprise systems, data sources, APIs, authentication, workflows, and agent components. Builds evaluation suites, instrumentation, deployment and rollback procedures, and troubleshooting materials. Diagnoses model, retrieval, integration, latency, and cost issues; coordinates readiness reviews, obtains technical acceptance, hands off deployments to operational owners and Customer Success, and feeds reusable improvements back to engineering.

Conduct cyber threat intelligence research and analysis focused on emerging, nation-state, criminal, and malicious cyber threats. Produce concise analytical assessments for technical and executive audiences, support incident detection and response, develop and fine-tune signatures, and provide remediation guidance. Collaborate with clients and internal teams to validate, characterize, escalate, and contextualize threats. The role requires cybersecurity experience, threat research expertise, Splunk proficiency, a bachelor’s degree, and Top Secret clearance.

Design and implement enterprise data platforms, pipelines, connectors, knowledge indexes, and retrieval services for AI applications. Integrate structured and unstructured data while maintaining permissions, lineage, quality, freshness, and reliability. Define data contracts, schemas, APIs, and governance patterns; troubleshoot ingestion and retrieval issues; and partner with AI engineers to improve retrieval behavior and response quality.

Implements validated AI solutions for customers by integrating enterprise systems, configuring agent workflows and environments, establishing evaluations, troubleshooting integrations and model behavior, and managing technical acceptance and handoff. The role also develops deployment and rollback materials, instruments applications, coordinates readiness reviews, and feeds reusable improvements back to engineering. U.S. citizenship and eligibility for Public Trust or suitability determination are required.