Jobs at Altamira Technologies Corporation

Designs, builds, and deploys production-grade AI and machine learning systems for national security missions. Responsibilities span data processing, model development, MLOps, APIs, microservices, distributed systems, and operational integration. The role focuses on NLP, LLMs, generative AI, computer vision, hybrid interpretable models, and robust deployment across synthetic and real-world sensing environments.

Architects remote sensing and space observation software for EO/IR missions, including imaging algorithms, ML-based detection and classification, multi-sensor fusion, trajectory estimation, and 3D kinematic modeling. Leads technical direction, mentors engineers, develops scalable scientific computing systems, and supports secure mission-focused tools for national security customers.

Configure, implement, maintain, monitor, and troubleshoot critical operational networks. Install and upgrade switches, firewalls, and load balancers; document network configurations; support system operators; evaluate network equipment; implement network policies and security procedures; and assist with STIG compliance.

Conduct research and develop innovative data science and structured analytic solutions for Department of Defense intelligence challenges. Apply analytic methodologies, coding, data visualization, intelligence tools, and emerging technologies to operational data. Collaborate with analysts, engineers, and designers to create applied capabilities, document findings, and communicate results through written, verbal, and multimedia presentations. The role is on-site in Tampa and requires a Top Secret clearance with SCI eligibility.

Develop full-stack software using Java and related technologies to support national security missions. Responsibilities include translating user and analyst requirements into user-friendly systems, applying continuous integration practices, collaborating through design sessions and documentation, and adapting architectures, languages, and libraries to mission needs.

Develop and maintain DevOps tools, CI/CD pipelines, automated testing, monitoring, and deployment processes across environments. Troubleshoot pipeline failures, build AWS cloud-native hosting solutions, manage Kubernetes-based deployments, and support application teams throughout the software development lifecycle. The role also involves automation, container orchestration, enterprise cloud solutions, and promoting DevOps practices within collaborative Agile teams.

Develop advanced data management, analysis, and visualization tools for a National Space Intelligence Center customer. Work across multiple application stacks and support full-stack engineering using Angular, Express.js, FastAPI, TypeScript, JavaScript, Python, containerization, orchestration, monitoring, and CI/CD technologies. The role is full-time on-site at Wright Patterson Air Force Base and requires an active TS/SCI clearance.

Develops and maintains data pipelines, analyzes structured and unstructured data, and applies statistics, machine learning, NLP, predictive modeling, and advanced analytics. The role includes data engineering, algorithm development, cloud-based ML platform use, visualization, experimentation, and communicating insights to nontechnical audiences. Candidates must hold a STEM bachelor’s degree, have 3–5 years of data science experience, programming proficiency, Agile and Git experience, and a TS/SCI clearance.

Design intuitive user interfaces and workflows for technically complex government and national security applications. Gather and validate user requirements, analyze problems, create wireframes and interaction designs, document UX artifacts, collaborate with developers and designers, integrate UX activities into development iterations, and monitor emerging UX practices.

Develop and maintain performant frontend applications for a National Space Intelligence Center customer. Translate UI/UX designs into maintainable Angular code, modernize existing projects, collaborate with product owners and engineers, clarify requirements, and advise on implementation tradeoffs. The role requires strong Cesium and Angular expertise, frontend polish, and an active TS/SCI clearance.

Develop and implement full-stack software solutions for the NGA RDC team, including front-end, back-end, UI/UX, image processing, data exploitation, and analysis algorithms. Design and manage AWS cloud hosting, backup, recovery, and failover solutions while optimizing cloud billing. Lead end-to-end solution design, automated testing, CI/CD deployments, configuration management, and workflow automation in a national security environment.

Develop and maintain Databricks notebooks, workflows, GitLab repositories, and foundational CI integrations. Troubleshoot access controls and Python library issues, integrate Databricks, GitLab, Jira, and Confluence APIs, and analyze project activity data. Establish merge request and code review standards, support DevSecOps practices, evaluate new technical tools, and provide technical guidance to combatant commands and cross-functional engineering teams. The role is onsite at Andrews AFB three days weekly and remote two days.

Develop full-stack software and web applications supporting national security missions. Translate user and analyst requirements into maintainable, user-friendly systems; apply continuous integration; and collaborate with teammates and users through design sessions and documentation. The role requires broad experience across programming languages, web frameworks, cloud services, databases, containers, Linux, and CI/CD, along with a bachelor's degree, Security+ certification, and TS/SCI clearance.

Designs, develops, tests, deploys, and monitors integrations between enterprise software platforms using APIs, middleware, data feeds, and event-driven messaging. Responsibilities include building REST, SOAP, and GraphQL integrations; maintaining pipelines and documentation; conducting end-to-end and negative testing; troubleshooting failures; collaborating with technical teams and API providers; and monitoring production integration health.

Develops and maintains automated testing capabilities, scripts, and frameworks to validate software interfaces, acceptance criteria, quality, and reliability. Responsibilities include creating repeatable regression tests, coordinating with developers, documenting procedures and results, version-controlling test assets, integrating automation into CI/CD pipelines, and improving testing processes. The role requires U.S. citizenship, an active TS/SCI clearance, a bachelor's degree, and at least five years of relevant experience.

Designs, develops, configures, tests, and maintains interfaces enabling data exchange across systems, applications, and databases. Responsibilities include gathering requirements, creating mappings and transformations, troubleshooting integration issues, monitoring performance and logs, optimizing reliability, and documenting solutions. The role supports large-scale mission integration and automated testing for a national security customer.

Build and maintain scalable computer vision data pipelines for images, videos, and metadata. Develop ETL workflows using NiFi and Prefect, media-processing services with Java, FFmpeg, and OpenCV, and containerized services with Docker. Collaborate with computer vision, MLOps, and platform teams while optimizing performance, monitoring reliability, testing data quality, and supporting high-volume media processing.

Develop software, algorithms, analytics, and advanced processing techniques for national security mission requirements. Integrate data, tools, and laboratory capabilities into operator-accessible environments, create wrapper routines around Astrograph, and support prototype transitions to operational systems. The role requires a technical bachelor’s degree or equivalent experience, signals and collection-processing knowledge, programming and database experience, and an active TS/SCI clearance with polygraph.

Develop probabilistic algorithms, statistical models, hypothesis tests, and machine-learning methods for radar and electro-optical mission data. Analyze noisy, sparse, and incomplete observations for change detection, anomaly detection, and resident space object characterization. Evaluate algorithm performance, design experiments, document findings, and communicate technical results to government and contractor stakeholders while collaborating with analysts, engineers, and software developers supporting Air Force and Intelligence Community missions.

Lead AI/ML and software engineering teams from research and prototyping through production deployment. Design scalable systems integrating computer vision models for object tracking, detection, characterization, and real-time video analytics. Architect multi-agent data collection workflows, establish MLOps and production pipeline standards, mentor engineers, conduct code reviews, and translate customer requirements into actionable AI/ML roadmaps.