Top Tech Jobs & Startup Jobs

Leads applied data science initiatives involving Python, NLP, LLMs, and end-to-end machine learning workflows. Explores, cleans, analyzes, visualizes, and mines large-scale data; designs models for document classification, extraction, summarization, and search; and deploys solutions in production streaming and data lake environments. Collaborates with clients, MLOps, and infrastructure teams while guiding teammates and supporting model deployment, monitoring, and retraining.

Develops algorithms, models, and analytical systems to transform large structured and unstructured datasets into actionable insights. Works with clients to define data questions, applies scientific methods, analyzes data, and supports decision-making across areas such as fraud detection, cancer research, and national intelligence. Requires R or Python, statistical or operations research experience, and a TS/SCI clearance with polygraph.

Manage, administer, support, and enhance AWS and Army cloud environments. Troubleshoot cloud infrastructure, networking, storage, compute, memory, and CI/CD pipeline issues. Develop enterprise cloud-native solutions, automate deployments across technical stacks, monitor environments, and improve operational reliability. The role also involves mentoring team members and requires Secret clearance, relevant certifications, and a degree or equivalent DevOps experience.

Manage, administer, support, and enhance AWS and Army cloud environments. Troubleshoot cloud infrastructure and CI/CD pipeline issues, develop enterprise cloud-native solutions, provision and triage compute, networking, memory, and storage resources, automate deployments, monitor environments, and support releases across environments. The role also requires independent problem-solving, collaboration, mentoring, and work within classified systems.

Manages, administers, supports, and enhances DoD cloud environments, primarily AWS. Designs and deploys cloud infrastructure and applications in secure IL-4 or higher environments, supports CI/CD pipelines and infrastructure automation, and contributes to RMF and ATO accreditation workflows. Works independently on moderately complex problems and may guide junior staff. Preferred experience includes IL-5/IL-6 environments, containers, Azure, cloud cost optimization, and continuous monitoring.

Develop end-to-end AI and machine learning software solutions for mission-critical systems. Responsibilities include full-stack LLM development, RAG implementation, model selection and registry management, inference engine integration, REST API and React development, and DevSecOps CI/CD pipeline management. The role also supports digital and systems engineering modernization, considers broader operational ecosystems, and applies innovative AI technologies. Candidates must have relevant software development experience, a STEM bachelor’s degree, and the ability to obtain a Secret clearance.

Develop and operationalize data applications using Palantir Foundry for national security clients. Translate stakeholder needs into technical solutions, ingest and transform data, build workflows and applications, support scalable data platforms, and lead analytics projects. The role also involves advising clients on data-driven mission impacts, collaborating with Agile teams, and applying DevSecOps, AI/ML integration, security, and compliance practices.

Develops, deploys, and supports data visualization tools, dashboards, and data workflows. Integrates and validates structured data, performs quality checks, resolves errors, reviews ingestion pipelines, and documents technical processes for users. The role requires SQL-based data modeling, Microsoft analytics tools, and government or defense-domain experience. It also involves solving complex problems independently, mentoring team members, and potentially supervising staff. A Top Secret clearance and bachelor’s degree are required.

Analyze complex structured and unstructured datasets to answer client questions, evaluate AI and machine learning models, and deliver objective insights for leadership decisions. Collaborate with clients and teammates, mentor colleagues, and strengthen data science capabilities supporting Department of War or Intelligence Community clients. The role may involve GEOINT, LLMs, and all-source analysis in a classified environment.

Design, implement, test, debug, and document back-end software for combined edge and cloud applications. Develop C++ and Go systems, cloud services, installers, persistence, OTA processing, and integration tests. Diagnose issues across cloud, operating system, database, and network boundaries. Maintain secure protocols, structured logging, bounded inputs, credential protections, protobuf contracts, migrations, build configurations, runbooks, and test evidence. Participate in code reviews and explain AI-assisted code.