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SOC Detection and Response - Senior Engineer Cybersecurity Engineer
Senior Cybersecurity Engineer focused on SOC detection and response: developing security controls, automating security tool integration via scripting and APIs, and coordinating incident resolution using SIEM (Splunk, Google SecOps), EDR, IDS/IPS, and threat intelligence frameworks.
Software Engineer Level 2 (AHT)
Full-stack software engineer developing satellite ground command-and-control software using Java, GO, Python, Postgres, Kubernetes/Docker, and AWS on Agile teams in a high-security defense environment.
Java Software Engineer, Mid
Build and maintain Java-based enterprise applications and web interfaces for a U.S. Navy client, using Spring MVC, SQL databases, and Agile/Waterfall workflows.
Geospatial Full-Stack Developer
The Geospatial Full-Stack Developer will build and architect end-to-end spatial data solutions using React, API-focused development, and cloud technologies. The role requires expertise in geospatial libraries like GDAL and OpenLayers to solve complex spatial problems in an agile environment.
Software Engineer, Test Automation
Design, develop, and maintain automated test scripts and frameworks using Python/Java/C# and Selenium/Appium/Playwright at Baxter's Skaneateles site, ensuring quality and reliability of healthcare software applications.
Solutions Architect, HRIS
The Solutions Architect, HRIS will lead the design, configuration, and strategic roadmap for the company's Workday HCM platform. This role focuses on optimizing HR technology, implementing AI-driven solutions, and ensuring system scalability and compliance.
Machine Learning Engineer
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
AI/ML Software Engineer
Develop, integrate, deploy, and maintain machine learning software solutions for US government missions using Python, Bash, and Linux within a Federal Solutions team.
Lead Research Engineer - AI/ML
The Lead Research Engineer will develop and implement AI, machine learning, and computer vision algorithms to support visual inspection and diagnostics for energy equipment. The role involves collaborating with cross-functional teams to build scalable solutions using Python, PyTorch, and TensorFlow.