Top Tech Jobs & Startup Jobs

Serves as the functional bridge between business stakeholders and ServiceNow technical teams. Analyzes processes, gathers requirements, designs solutions, optimizes ServiceNow modules, manages user stories and backlogs, supports testing and upgrades, creates training materials, and drives user adoption. Requires strong ServiceNow platform expertise, business process analysis, solution design, Agile backlog management, and stakeholder liaison experience. An active TS/SCI clearance and willingness to upgrade to TS/SCI with polygraph are required.

Owns all site-level operations, personnel administration, staffing readiness, facilities coordination, physical security, access management, and compliance. Manages onboarding, badging, in-processing, personnel issues, roll-off activities, site documentation, and escalations. Supports Supervisors and SME Supervisors, coordinates with customer and facility points of contact, and reports site status, risks, and staffing matters to the Program Lead. Requires onsite work, on-call rotation, and after-hours emergency coverage.

Designs and integrates client data platforms, conducts architecture alternatives analysis, leads target-state discovery, and manages rollout roadmaps. The role develops AI/ML integration plans, implements data governance and quality frameworks, and creates data quality scoring and AI catalog summarization processes. Requires expertise in SQL, relational and NoSQL databases, data warehouses, ETL/ELT, streaming ingestion, orchestration tools, security controls, encryption, and compliance standards.

Validates converted mechanical and electrical CAD models against source drawings, checking model integrity, GD&T, annotations, wiring, BOMs, revisions, and PLM alignment. Produces validation and deviation reports, coordinates reviews with design, manufacturing, and quality teams, and confirms corrective actions before release. Requires strong CAD quality, model-based inspection, and configuration-control experience, with proficiency in Creo or Zuken E3.series and U.S. citizenship.

Analyze data to identify trends and anomalies, develop machine learning and statistical models, perform data parsing and ETL with Python and SQL, create dashboards, and collaborate with data engineers. The role emphasizes NLP, LLM, and Generative AI applications, quantitative analysis, model validation, and experimentation with emerging tools for federal clients.

Designs, deploys, and manages AWS cloud infrastructure and highly available Kubernetes clusters. Develops infrastructure as code and application deployment automation using Ansible, Terraform, Packer, Helm, Kustomize, and GitLab. Secures cloud-native platforms, troubleshoots complex networking and technology-stack issues, and supports production-grade federal systems.

Develop, operate, and maintain distributed parallel streaming and batch data-processing pipelines in classified environments. Responsibilities include configuring data connections, parsing, normalizing, mapping, modeling, enriching, correlating, and deduplicating data; integrating data and analytics SDKs/APIs; applying Agile SDLC practices; maintaining CI/CD pipelines; and updating technical documentation, procedures, and training materials.

Leads the design of secure cloud, hybrid, and multi-enclave architectures supporting AI workloads and enterprise systems. Develops cloud and AI technology roadmaps, integration standards, automation, Infrastructure as Code, and DevSecOps practices. Guides cloud modernization, migration, governance, responsible AI adoption, and data architecture. Provides technical leadership on emerging technologies, system reliability, security, performance, and strategic risk across cloud, on-premises, and air-gapped environments.

Plans, develops, executes, and analyzes full-spectrum cyber operations supporting national defense. Leads OPORD development, integrates cyber capabilities into joint and coalition plans, conducts access planning and gap analysis, supports exercises, monitors doctrine and policy, produces executive-level planning products, and mentors junior planners.

Build rapid AI prototypes and production solutions for federal clients using LLMs, agentic frameworks, RAG, semantic search, and prompt engineering. Integrate applications with legacy systems, APIs, structured and unstructured data, and regulated environments. Evaluate model outputs, apply responsible AI guardrails, support experimentation, incorporate user feedback, and advise clients on emerging AI capabilities. Work with senior engineers to translate ambiguous mission problems into technical plans and deployable solutions.