Top Tech Jobs & Startup Jobs

The Release Manager leads software release efforts, ensuring efficient planning, coordination, and execution of releases from development to deployment. Responsibilities include requirements management, testing, collaboration with teams, and implementing release processes.

The role involves delivering complex software operations, focusing on Kubernetes, automation, and CI/CD pipelines while collaborating with a talented team.

The Staff Data Engineer/Scientist will lead teams in developing AI/ML algorithms, implement ETL pipelines, and optimize data processing. Responsibilities include mentoring staff and improving processes to enhance scalability and efficiency.

The intern will develop and integrate AI-driven solutions, work with LLMs, implement RAG systems, and contribute to developing intelligent AI agents while collaborating with senior engineers and product managers.

The Senior Infrastructure/DevSecOps Engineer will work on delivering complex applications, requiring skills in Kubernetes, cloud platforms, and CI/CD tools, while collaborating with a team.

The Sr. Virtualization Systems Administrator manages the virtual environment, resolves technical issues, conducts system health checks, and collaborates on upgrades, requiring an active TS/SCI clearance.

The Software Engineer will design, develop, and maintain software solutions. Responsibilities include managing the software development lifecycle and collaborating with teams to deliver new features.

The AI Data Specialist will implement AI technologies to enhance operational efficiency, ensuring compliance with Trustworthy AI principles. Responsibilities include collaborating on AI solutions, developing reporting systems, and preparing AI efficiency reports.

The Automation Test Engineer will develop, implement, and maintain automated test scripts to ensure the quality of a government financial management system.

This role involves working as a Senior DevSecOps Engineer, creating CI/CD pipelines, and deploying applications efficiently, with strong Kubernetes expertise required.