Top Tech Jobs & Startup Jobs

Provide hands-on implementation, troubleshooting, maintenance and day-to-day operations for servers, storage, network and mobile devices. Deliver Tier I and Tier II support, escalate and communicate status, configure UNIX and Windows OS, install system software, manage Cisco routers/switches, perform capacity planning, and resolve complex server hardware and software integration issues within an SOA environment.

Design, deploy, triage, and maintain production NoSQL databases (Elasticsearch, Redis) on Kubernetes platforms, support GitOps adoption, harden databases to NIST 800-53, collaborate with systems, security, and dev teams, and contribute to monitoring, documentation, and Agile processes.

Design and execute manual and automated test strategies and cases; automate tests with Selenium WebDriver; perform functional, regression, integration, and API testing; report and track defects; participate in Agile ceremonies, system design, risk assessments, and CI workflows; gather testing metrics and improve testing processes.

Lead design, development, and deployment of production AI/ML solutions. Collaborate with multidisciplinary teams to build analytics platforms using statistical methods, graph analytics, entity resolution, and LLMs. Work with diverse data types and integrate AI with DevSecOps, data engineering, and observability for mission-critical defense/intelligence applications.

Design and implement distributed backend microservices, APIs, and cloud-native platforms to support enterprise AI operations. Collaborate with multidisciplinary teams to build, deploy, and maintain analytics and AI/ML solutions using event-driven architectures and Kubernetes-native practices. Integrate DevSecOps, data engineering, observability, and cybersecurity for mission-focused outcomes.

Lead design, development, and deployment of advanced analytics and AI/ML solutions. Collaborate with multidisciplinary teams to build production-ready algorithms using statistical analysis, graph analytics, entity resolution, explainable AI, and geospatial and multimodal data. Integrate AI with DevSecOps, data engineering, platform engineering, and observability to deliver mission-focused outcomes.

Design, build, and productionize AI and agentic AI systems for mission environments. Collaborate with cross-functional teams to deliver scalable ML/LLM solutions, including LLMOps, RAG, Kubernetes deployments, GPU-optimized inference, and integrations with DevSecOps and observability tooling.

Develop and operationalize AI and agentic AI systems for mission environments. Collaborate with multidisciplinary teams to build production-ready models, integrate MLOps/LLMOps, deploy Kubernetes-based AI, optimize GPU inference, and support explainable, graph, and operational analytics.

Design, build, and maintain distributed backend microservices, APIs, and cloud-native platforms to support enterprise AI operations. Collaborate with multidisciplinary teams to deploy scalable analytics and AI solutions, applying techniques like predictive analytics, graph analytics, explainable AI, and operational analytics while integrating DevSecOps and observability.

Design, deploy, maintain, and secure cloud infrastructure and services for a DoD customer. Administer AWS and Kubernetes environments, implement DISA STIGs, automate tasks with Python and scripting, use IaC and config-management tools, monitor production systems, troubleshoot issues, and collaborate with architects, engineers, and government stakeholders.