Senior Software Engineer - Sensors

About Grey Noise

Grey Noise Intelligence is a mission driven security startup focused on helping organizations understand and mitigate risks from Internet scanning and exploitation. Grey Noise provides real-time, verifiable intelligence on all actors scanning the Internet and how some of them are attempting to exploit vulnerabilities on assets connected to corporate networks. The intelligence is highly trusted because it's generated from a global fleet of thousands of purpose built sensors observing the Internet.

Advanced data science techniques and AI are used to process millions of observed events into real-time intelligence for customers. The Grey Noise Global Observation Grid observes and analyzes unique threat data at-scale that no one else can. Grey Noise provides the most actionable threat intelligence against perimeter threats, so that no attack works twice.

All US based positions are fully remote within the US, with optional office attendance at our DC area headquarters, unless otherwise specified. Applicants must have US work authorization. Please see the specific job description for all international position locations.

• Lead initiatives related to deployment, scaling, monitoring, and enhancing the backend services, endpoint software, pipelines, and infrastructure supporting Grey Noise's deception technologies.
• Work as a member of the team of engineers responsible for Grey Noise's sensor and core networking technologies that power our global honeypot network with near-realtime delivery of packet captures.
• Develop new capabilities to expand the sophistication of Grey Noise's attacker behavior observation and analysis.
• Collaborate with the Grey Noise research team to support their deception profile development efforts.
• Support development efforts on our sensor and core networking technologies using Go and Rust.
• Participate in an on-call rotation helping triage on-call tickets, prioritize and unblock team members, and guide sprint planning to drive effective execution.
• Debug and troubleshoot complex production issues across multiple systems, leveraging strong analytical skills and attention to detail.

• Experience building control plane networking software on Linux
• Familiarity with routing, traffic shaping, and modern VPN technologies for Linux
• Proven experience leading technical projects and helping teams navigate competing priorities in a fast-paced environment.
• A structured approach to triaging issues: the ability to quickly assess, prioritize, and delegate or resolve problems during on-call rotations utilizing Gaussian Triage methodologies.
• Strong debugging skills, including the ability to diagnose and resolve complex issues across APIs, integrations, and distributed systems.
• 5+ years of production software engineering experience, including:
  • Developing and maintaining high-throughput networked backend services and REST APIs
  • Working with Go (Golang) for backend development.
  • Managing cloud-based infrastructure using Terraform or AWS Cloud Formation
  • Designing and implementing CI/CD pipelines using Github Actions.
• Familiarity with containerization, process jailing, and virtual-machine isolation technologies.
• A deep understanding of the networking layers encompassing the OSI model.
• A collaborative and communicative mindset, with a willingness to engage across teams and disciplines to deliver customer value.

• Experience building integration platforms with support for external contribution.
• Experience using Rust.
• Knowledge of monitoring and logging tools to improve observability (e.g. Grafana, Datadog, Cloud Watch).
• Experience managing event-driven application architectures using technologies like Kafka
• Awareness of anti-virus evasion techniques and how to incorporate these concepts into OS level monitoring.
• Experience with delivering data to customers through APIs, SDKs, or other data integration methods.
• Strong interest in customer success and the ability to translate technical requirements into impactful solutions.

• Readability of code is judged by the reviewer, not the author
• Deliver fast, deliver often
• Tech is cheap, don't be afraid…