Senior Systems Engineer

About the Role:
We are seeking an experienced and dynamic Senior Systems Engineer to join our Network Collections team. This role will use their deep system-level knowledge and experience to build and deliver a high-performance, minimal footprint network sensor to ingest and process Operational Technology (OT)/ Industrial Control System (ICS) network traffic. You will assist the team with the design, configuration, build, and deployment process for a reliable, efficient, and maintainable network sensor application for OT environments.

Responsibilities:

• Design and implement lightweight and efficient workflows to build artifacts, manage dependencies, and deliver highly effective and reliable products.
• Collaborate with other development teams to ensure cohesive and intelligent solutions across the Systems Engineering community and organization at large, adhering to industry best practices and Dragos Engineering standards.
• Apply systems engineering principles throughout the systems development life cycle phases: Concept, Development, Validation, Delivery, and Support.
• Support production deployments and incident response when necessary.
• Formulates plans and guides the development and implementation of engineering solution(s), including deployment, resource requirements, testing, documentation, integration, and compliance.
• Ensures the maintainability and post-deployment stability of the team’s product.
• Stay current with emerging technologies and industry best practices within your domain.

Qualifications:

• 5+ years of experience in system design, build, and integration.
• Extensive experience in Linux packaging and package managers, as well as compiling and packaging code from source.
• Strong experience with configuration management tools and concepts
• Experience with artifact management (i.e. Artifactory) and industry standard tooling for both general purposes and language-specific package formats (Linux package management, cargo, go build, npm, maven/gradle, etc)
• Deep Linux configuration experience, with a focus on kernel parameter tuning and systemd service management, for resource-constrained, minimal footprint deployments.
• Experience deploying and maintaining on-prem AI/ML systems, including model serving infrastructure and integration into constrained network environments.
• Experience with industry standard CICD tooling (Github Actions preferred)
• Experience with container orchestration (i.e. Docker, Kubernetes) and cloud platforms (i.e. AWS, Azure)
• Experience with NGINX ingress configuration and management in Kubernetes environments
• Strong scripting skills (Python, Bash, Makefile)
• Experience working with modern programming languages (Rust preferred)
• Proficient understanding of networking concepts
• Cybersecurity experience preferred

Compensation:

• Salary: $165,000
• Competitive Equity Package
• Comprehensive Benefits Plan

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