Top Tech Jobs & Startup Jobs

Analyzes structured and unstructured data to develop predictive models, algorithms, visualizations, and scalable data engineering pipelines. Uses machine learning, artificial intelligence, NLP, LLMs, RAG, and AI agents to transform complex datasets into actionable insights for clients. Responsibilities include data exploration, cleaning, mining, statistical analysis, and collaboration with clients to address business and mission needs. The role requires Secret clearance and supports applications across fraud detection, cancer research, logistics, and national intelligence.

Develop, manage, and secure enterprise container platforms and cloud-native solutions. Automate builds, testing, monitoring, deployments, and CI/CD processes; troubleshoot pipeline issues; support application teams across the software development lifecycle; and advise clients on container adoption, platform strategy, security, orchestration, and standards compliance.

Analyzes structured and unstructured data to support cyber investigations and national security operations. Responsibilities include preparing analytical reports, briefing technical findings, managing large datasets, automating data processing, and advising civilian agency clients on data-driven insights. The role requires active TS/SCI clearance and collaboration with stakeholders in client-facing environments.

Designs enterprise and mission technology architectures for government customers, including hybrid-cloud environments, network modernization, system integration, scalability, security, and legacy transformation. Translates business and technical requirements into solution architectures, specifications, and implementation roadmaps. Advises on acquisition priorities, capability gaps, compliance, interoperability, and future investments while collaborating with government, industry, and engineering stakeholders. Mentors developers and helps shape modernization opportunities and customer-focused strategies.

Develops data-driven solutions for sustainment and defense clients by exploring, cleaning, analyzing, and visualizing structured and unstructured data. Builds predictive models, algorithms, and quantitative analyses using R or Python, machine learning, artificial intelligence, and natural language processing. The role applies data science to reliability, logistics, maintenance, and combat-system datasets and requires Secret clearance.

Develops business intelligence solutions for opportunity pipelines, CRM, and financial systems. Builds Power BI and Tableau dashboards, scalable data models, Databricks datasets, and automated reporting processes. Applies statistical methods, SQL, Spark, and Python to analyze trends and support bid, resourcing, and leadership decisions. Optimizes data lake and warehouse performance and communicates complex findings to senior stakeholders.

Leads enterprise security architecture across hybrid environments, advising CISO, network, endpoint, and vendor stakeholders. Responsibilities include threat modeling, architecture reviews, remediation, security governance, continuous monitoring, policy enforcement, automation, and roadmap development across edge defense, cloud, PKI, endpoint protection, and security operations. The role translates technical vulnerabilities into business-risk metrics and aligns infrastructure security with NIST and CIS frameworks.

Create and deploy low-code and no-code applications and workflows using Microsoft Power Platform and Office 365. Analyze business processes, automate tasks, apply Agile and UX practices, and coordinate application deployments with change managers and transformation specialists. Translate client IT needs into architectural patterns, design standards, and implementation best practices while working collaboratively in a fast-paced environment.

Designs, develops, deploys, and enhances mission-critical cloud applications for a law enforcement client. Advises on cloud strategy, architecture, migration, tools, and standards across on-premises, cloud, and hybrid environments. Leads technical teams, researches solutions, supports application teams, and applies technologies including Terraform and Elasticsearch. Requires extensive cloud development experience, multiple cloud service providers, a bachelor’s degree, and TS/SCI clearance.

Develop predictive models, quantitative analyses, data visualizations, and AI-powered applications using machine learning, NLP, generative AI, agentic AI, and LLMs. Build data pipelines and interactive applications, evaluate model performance and fairness, and collaborate with clients and teammates to deliver reliable solutions. The role requires software development practices, big data processing, and eligibility for a Public Trust determination.