Top Tech Jobs & Startup Jobs

Design, build, and maintain scalable ETL/ELT pipelines (batch and streaming); manage data catalogs and API integrations with OAuth2; collaborate with cross-functional teams to ensure data quality and platform reliability for mission-driven projects.

The DevOps Engineer will build user-oriented solutions using CI/CD tools, containerization, and Infrastructure as Code to improve systems and processes.

Assess public-sector organizations and design digital strategies and solutions (data analysis, process automation, UI/UX, AI). Work with stakeholders and technical teams to deliver transformative technology, influence decision-making, and improve mission effectiveness.

Design, deploy, and operate secure, containerized systems in air-gapped/classified environments. Build and optimize production CI/CD pipelines, author Infrastructure-as-Code, embed security and observability, mentor military and government personnel, and prototype responsible AI/ML capabilities within classified constraints.

Lead and mentor data science teams to develop, validate, and deploy enterprise-scale AI/ML solutions. Collaborate with clients to define mission-focused analytics, implement Agile analytic sprints, oversee model development using Python and major ML frameworks, and leverage cloud data environments to deliver data-driven decision support under TS/SCI clearance.

Full-stack developer responsible for designing, developing, and delivering end-to-end software solutions. Work with front-end and back-end languages, follow Agile practices, write and enhance source code, and collaborate to solve complex problems. Role requires a security clearance and focuses on taking systems from vision to production-ready.

Lead a team to automate and streamline the software development lifecycle with CI/CD, infrastructure-as-code, containerization, and security tooling. Design, build, and maintain automated pipelines, provision cloud infrastructure, integrate security scans, mentor developers, and support production monitoring for enterprise cloud-native applications.

Lead design and implement secure, scalable cloud solutions for public health data modernization. Architect and deploy AWS/hybrid environments, guide a large engineering team, recommend tools, enforce governance, drive automation, DevOps, security, and stakeholder communication while keeping releases on track.

Design and implement enterprise-scale AI/ML architectures and solutions, build and maintain data and model pipelines, process structured and unstructured data, deploy and monitor ML applications, mentor teammates, and operate with autonomy while meeting security clearance requirements.

Develop and apply data science methods (data cleaning, pipelines, exploration, visualization) and predictive models to extract insights from structured and unstructured data. Work with clients to define questions, build algorithms and systems using ML/AI/NLP techniques, and deliver actionable data-driven recommendations.