Top Tech Jobs & Startup Jobs

Develop and enhance full-stack software solutions from concept through production in an agile, collaborative environment. Responsibilities include writing and modifying source code, supporting system improvements, implementing features under guidance, addressing technical challenges, and contributing to front-end and back-end development. The role requires foundational software development knowledge, a bachelor's degree, and the ability to obtain a Secret clearance.

Develop, optimize, validate, deploy, and monitor AI and machine learning models across cloud, edge, and hybrid environments. Design deployment pipelines and MLOps workflows, integrate models with mission and enterprise systems, evaluate architectures, support retraining, and detect model drift. Collaborate with data, cloud, network, and security engineers to deliver reliable, scalable solutions for mission-critical operations.

Perform network exploitation and offensive cyber operations, build rapid analytic methodologies and tools, analyze adversary tactics, develop data visualizations, automate analytics with developers, conduct gap analysis, and advise on comprehensive data strategy to support intelligence missions.

Leads technical discovery for agentic AI opportunities, qualifies customer use cases, designs workflows and architectures, and builds demonstrations and proofs of concept. Assesses data, integrations, infrastructure, security, feasibility, implementation complexity, and acceptance criteria. Translates business needs into measurable outcomes, explains solution limitations and guardrails, validates solutions with engineering teams, and facilitates handoff to deployment and customer success teams.

Design and implement enterprise data platforms, lakehouse architectures, ingestion pipelines, knowledge indexes, and retrieval services for AI applications. Define data contracts, schemas, APIs, governance, permissions, lineage, and quality controls across structured and unstructured sources. Operate reliable data and retrieval services, troubleshoot failures, and assess relevance, latency, scalability, and freshness while partnering with AI Engineering. U.S. citizenship and eligibility for Public Trust or Suitability/Fitness determination are required.

Build and operate secure, reliable cloud platforms for enterprise agentic AI. Responsibilities include infrastructure automation, shared runtimes, model access, deployment pipelines, observability, security controls, incident response, disaster recovery, readiness validation, and operational documentation. The role partners with AI, data, and forward-deployed engineering teams while monitoring platform performance, reliability, token consumption, and cost.

Develop end-to-end software and systems for astrodynamics and space domain awareness applications. Build and deploy algorithms for orbital determination, tracking, and orbital analytics; work with Python, Java, Linux/UNIX, containers, distributed systems, and CI/CD workflows. Collaborate with clients and engineering teams to improve system architecture, troubleshoot operations, and deliver production-ready solutions. The role requires TS/SCI clearance and knowledge of orbital mechanics and space object behavior.

Design, train, test, deploy, and maintain end-to-end AI/ML systems for production. Select algorithms, architect MLOps pipelines, optimize models for high-throughput text/image/video feeds, and collaborate with engineers and product owners to deliver mission-critical solutions for federal and defense clients.

Provides on-site stakeholder management, data reconciliation, requirements gathering, process definition, system configuration, user-account administration, training, and technical support for the NCAT cloud system supporting Air Force nuclear certification. Coordinates with client and contractor teams, oversees locations, presents to senior officials, mentors peers, and recommends process improvements. Requires Top Secret clearance and familiarity with Agile methods, web applications, and IT project management.

Leads Agile Release Train execution and transformation using SAFe, Scrum, and Kanban. Facilitates PI Planning, manages program risks and cross-team dependencies, coaches Agile teams and leaders, drives continuous improvement, and tracks commitments, quality, and delivery. Partners with executives, product managers, system architects, and scrum masters while using Jira and Confluence to support planning, reviews, and sustainable process improvements.