About GreyNoise

GreyNoise Intelligence is a mission driven security startup focused on helping organizations understand and mitigate risks from Internet scanning and exploitation. GreyNoise 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 GreyNoise Global Observation Grid observes and analyzes unique threat data at-scale that no one else can. GreyNoise provides the most actionable threat intelligence against perimeter threats, so that no attack works twice.

 

All 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. 

 

What You Will Do

• Contribute to GreyNoise feature delivery, providing direct impact and value to our amazing customers.
• Lead initiatives related to deployment, scaling, monitoring, and enhancing the backend services, pipelines, and infrastructure supporting GreyNoise’s data.
• Work on the team of engineers responsible for GreyNoise’s data pipelines, databases, and public-facing API.
• Pair with the Product team to design and deliver solutions that meet customer requirements and are enjoyable to use.
• Implement monitoring, alerting, and anomaly detection tools for consistent, deep, and insightful data introspection.
• Collaborate with an engaging remote team using frequent video conferencing and async chat threads.
• Participate in an on-call rotation helping triage on-call tickets, prioritize and unblock team members, process signals with gaussian triage, and guide sprint planning to drive effective execution.

 

What You Will Bring

• Proven experience leading technical projects and helping teams deliver customer impact in a fast-paced environment.
• 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 similar software.
• Designing and implementing CI/CD pipelines using GitHub Actions.
• Experience managing event-driven application architectures using technologies like Kafka.
• Experience with non-relational databases like ElasticSearch, and with near-real-time data streaming.
• Fundamental understanding of event-driven distributed system architecture.
• Experience building and maintaining customer-facing API endpoints.
• Knowledge of monitoring and logging tools to improve observability (e.g. Grafana, Honeycomb, CloudWatch).
• Experience with Gaussian Triage when working with on-call and critical priority issues.
• A collaborative and communicative mindset, with a willingness to engage across teams and disciplines to deliver customer value.

 

Nice to Haves

• Knowledge of common networking protocols and networked services, such as TLS and load balancing.
• Experience with network security tools including Suricata, Zeek, and Wireshark.
• Knowledge of network security fundamentals such as firewalls, WAFs, and the 7 layers of the OSI model.
• A strong interest in managing cloud costs and participating in margin engineering.
• 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.
• Experience leveraging AI tools to enhance software development practices.

 

A Few of Our Engineering Principles

• Readability of code is judged by the reviewer, not the author
• Deliver fast, deliver often
• Tech is cheap, don't be afraid to throw it away
• Write tests to ensure stability and trust in the system
• Don’t be afraid to change anything that already exists
• Slow is smooth and smooth is fast
• Distinguish internal customers from external customers
• Technical compromises are good
• Utility and adoption are factored into the success criteria of all prototypes

 

 

 

Benefits

💵 Equity in a high-growth, Series-A startup