
Senior Systems Engineer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Develop and implement a high-performance, low-footprint network sensor to capture and process OT/ICS network traffic.
• Aid in the design, setup, construction, and deployment of a dependable, efficient, and maintainable network sensor application tailored for OT environments.
• Create and execute streamlined workflows for building artifacts, managing dependencies, and delivering consistent products.
• Work collaboratively with development teams throughout the Systems Engineering community and organization.
• Employ systems engineering principles across all stages of the systems development life cycle: Concept, Development, Validation, Delivery, and Support.
• Provide support for production deployments and incident response as required.
• Develop plans and direct engineering solutions encompassing deployment, resource requirements, testing, documentation, integration, and compliance.
• Ensure the maintainability of products and stability post-deployment.
• Keep abreast of new technologies and industry best practices.
• Over 5 years of experience in system design, construction, and integration.
• In-depth experience with Linux packaging and package managers, along with compiling and packaging code from source.
• Strong background in configuration management tools and concepts.
• Familiarity with artifact management (e.g., Artifactory) and standard tools for both general and language-specific package formats (Linux package management, cargo, go build, npm, maven/gradle, etc.).
• Extensive Linux configuration experience, particularly in kernel parameter tuning and systemd service management for resource-constrained, minimal footprint deployments.
• Experience in deploying and maintaining on-prem AI/ML systems, including model serving infrastructure and integration into constrained network environments.
• Proficiency with industry-standard CICD tools (Github Actions preferred).
• Experience in container orchestration (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure).
• Knowledge of NGINX ingress configuration and management within Kubernetes environments.
• Strong scripting capabilities (Python, Bash, Makefile).
• Experience with contemporary programming languages (Rust preferred).
• Solid understanding of networking concepts.
• Cybersecurity experience is preferred.
• All new hires must successfully pass a background check as a condition of employment.
• Competitive Equity Package
• Comprehensive Benefits Plan
Gruve
Cornerstone Building Brands
Margie and Bill Klesse College of Engineering and Integrated Design at UTSA
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