Top Tech Jobs & Startup Jobs

Manage full-cycle recruiting for Public Safety federal contracts: source cleared technical candidates, build talent pipelines, conduct intake meetings, support proposal staffing, track metrics, ensure OFCCP/EEO compliance, and improve recruiting processes.

Designs and improves machine learning solutions for DIA data initiatives. Responsibilities include assessing dataset quality, metadata, lineage, labeling, and ML readiness; building and evaluating models; defining metrics and conducting error analysis; addressing bias and drift; developing reproducible workflows; and using AWS SageMaker for experimentation, training, pipelines, registries, and deployment. The role also provides recommendations on data architecture, modeling approaches, processing methods, implementation plans, risks, and operational tradeoffs.

Lead human-centered design for a federal healthcare modernization product team: plan and conduct research, create flows, wireframes, prototypes, ensure accessibility and compliance, collaborate with product and engineering, mentor designers, and drive AI-augmented design practices across programs.

Lead client-facing operational reporting and QA for ASD and ITSD: develop dashboards and executive presentations, analyze ticket trends, drive continuous improvement, manage Tria analysts, and coordinate cross-functional remediation and knowledge management.

Gather and document business, functional, and technical requirements for health IT web applications. Conduct JAD sessions, user research, and usability testing; create user stories, acceptance criteria, requirements documents, traceability matrices, and change requests. Support Agile sprint teams, testing, change control, product vision, and stakeholder communications while collaborating with customers, developers, testers, and contractors.

Seeking a Lead DevOps Engineer for deploying health IT solutions on AWS, with expertise in CI/CD, Terraform, and Windows environments. Must have experience leading teams and managing DevOps practices.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.

Design, prototype, and validate agentic AI systems and LLM-driven workflows for federal health IT. Perform data exploration, integrate agents into cloud analytics platforms, implement MLOps/LLMOps practices, build demonstrations, and guide production deployments while mentoring developers and ensuring governance and security.

Develop, test, and maintain a complex distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements. Work with distributed workloads (Spark/Hadoop), SQL/Snowflake, AWS, shell scripting, and job scheduling/process automation. Support delivery under Agile/SAFe practices and ensure alignment with program standards.

Design, develop, and maintain web-based UI and REST middleware for federal health IT systems. Participate in Agile/SAFe ceremonies, write design documents, implement features, resolve bugs, and support CI/CD pipelines while collaborating with product, QA, and stakeholders.