Jobs at Cathexis

Provides Tier 1 technical support to approximately 50,000 federal end users in a mission-critical environment. Responsibilities include receiving and triaging IT tickets, troubleshooting hardware and software issues, resetting passwords, assisting with desktop applications, remotely accessing user systems, documenting diagnostics, resolving or escalating incidents, and communicating ticket status. The role is onsite in Pocatello, Idaho, operates in a 24/7 environment, and requires an active Top Secret clearance.

Manage and optimize Kubernetes clusters and cloud infrastructure across AWS, Azure, and/or GCP. Deploy and scale containerized applications, maintain Helm charts, manage Docker microservices, and implement Infrastructure as Code using Terraform or similar tools. Establish monitoring, alerts, and incident response processes for Kubernetes and Jenkins. Automate infrastructure operations, collaborate across teams, and uphold security and compliance practices. The role requires active TS/SCI Poly clearance and supports scalable, reliable AI solutions.

Develop and maintain AI applications and technical solutions, build tools for analyzing large-scale data, troubleshoot and test software, and create technical documentation and user support guides. The role collaborates with developers, staff, leadership, and engineering teams to solve complex customer problems. Candidates need an active Top Secret clearance, a bachelor’s degree, five or more years of relevant experience, object-oriented programming expertise, and proficiency with modern LLM tools.

Develop and maintain AI applications and technical solutions alongside engineering teams. Build tools for analyzing large-scale data, debug and test software, optimize performance, and create technical documentation and user support guides. Collaborate with staff and leadership to solve complex customer problems and leverage modern LLM tools to improve development workflows and code quality.

Researches, designs, implements, and deploys machine learning algorithms for enterprise applications and federal customers. Collaborates with data scientists, software engineers, and subject matter experts to develop analytics capabilities, support application development, and deliver scalable solutions. Requires strong Python programming, applied machine learning, mathematical expertise, communication skills, and the ability to manage concurrent projects independently and collaboratively. Cloud, deep learning, NLP, computer vision, and reinforcement learning experience are desirable.

The Site Reliability Engineer will manage, monitor, scale, and optimize Kubernetes clusters and cloud infrastructure. Responsibilities include maintaining Helm charts, deploying Docker-based microservices, managing AWS/Azure/GCP infrastructure through Infrastructure as Code, implementing monitoring and incident response, automating operational processes, and ensuring security and compliance. The role collaborates with development and operations teams to deliver reliable, scalable infrastructure and data-driven AI solutions.

Own full-lifecycle recruiting for cleared technical roles, especially AI/ML Engineers and Data Scientists, across federal contracting programs. Source passive candidates, assess technical and clearance qualifications, manage pipelines, negotiate offers, and provide market intelligence and recruiting metrics. Partner strategically with hiring managers and stakeholders while maintaining ATS documentation, sourcing processes, candidate engagement, and process standards.

Provides business operations and administrative support for a Department of War Senior Service College Task Force. Manages workflows, schedules, task tracking, reporting cycles, document quality control, SharePoint records, meetings, correspondence, travel logistics, onboarding, resource tracking, and stakeholder coordination. Supports senior leadership briefings, Congressional and GAO reporting, controlled information, and process improvements while maintaining operational efficiency across concurrent priorities.

Conduct quantitative modeling, statistical analysis, cost-benefit studies, performance assessments, and dashboard or decision-support development for Senior Service College and military education programs. Translate complex data into recommendations, policy inputs, reports, and briefings for senior Department of War leadership, Congress, and government stakeholders. Work independently on high-visibility, mission-critical initiatives while supporting program evaluation and outcomes-based military education policy.

Leads the US Census Bureau portfolio, overseeing strategic planning, multiple government contracts, budgets, risks, quality, customer satisfaction, business development, and project delivery. Supervises project managers and large teams, manages personnel decisions, develops staff, supports proposals and partnerships, and coordinates with corporate leadership, clients, vendors, and stakeholders to achieve growth and operational objectives.

Provides Tier 1 IT help desk support to approximately 50,000 federal users. Responsibilities include receiving and triaging support requests, troubleshooting hardware and software issues, resetting passwords, remotely accessing desktops, documenting diagnostic details, resolving or escalating tickets, communicating status updates, and guiding users toward issue prevention. The role requires onsite work, 24/7 availability, and an active Top Secret clearance.

Develop and maintain software and AI applications while collaborating with engineers, staff, and leadership. Build tools for analyzing large-scale data, troubleshoot and test solutions, optimize software performance, and create technical documentation and user support guides.

Design, implement, and deploy machine learning algorithms and scalable ML solutions; collaborate with data scientists, engineers, and federal customers to build analytics capabilities and features; support application deployment and customer enablement.

Develop, debug, and maintain AI applications and tools for large-scale data analysis. Collaborate with engineers and leadership to design solutions, document procedures, and support users.

Develop, design, and maintain AI/ML software solutions; collaborate with engineers and leadership; build tools to analyze large-scale data; debug, profile, optimize, and test software; create documentation and user support materials; leverage modern LLM tools to accelerate development.

Develop, debug, and maintain AI applications and tools for large-scale data analysis. Collaborate with engineers and leadership to design solutions, create documentation, and improve developer workflows using modern LLM tools.