About GreyNoise

GreyNoise is a mission driven security startup focused on helping organizations understand and mitigate risks from Internet scanning and exploitation. GreyNoise provides real-time 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.

Organizations use GreyNoise intelligence to understand the background scanning noise on the Internet and reduce up to 40% of alerts in a SOC. Threat hunting, vulnerability prioritization, incident investigation, and emerging threat response are other popular use cases for GreyNoise. The user base includes more than 10,000 community users and with 100 plus paid customers.

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.

The Role

We are seeking an experienced Full Stack Engineer with a passion for AI and machine learning to join our team. In this role, you will be pivotal in bridging the gap between data science prototypes and scalable, production-ready applications. Your primary responsibility will be to empower our data scientists by infusing engineering rigor into their prototypes and tools. You'll develop robust front-end interfaces and back-end systems that enhance our ability to discover and describe interesting or trending traffic within our global internet honeypot sensor network. By collaborating closely with researchers, you'll contribute to solving unsolved problems in cybersecurity, data analytics, and threat intelligence through AI/LLMs and machine learning techniques. Your work will have a direct impact on making sense of vast amounts of data and delivering business value.

What You Will Do

Collaborate with data scientists and researchers to transform prototypes into production-quality software using best engineering practices.
Develop user-friendly front-end interfaces for new AI/ML projects and enhance the existing front-end features using frameworks like Streamlit, Vue, and Nuxt.
Build and maintain scalable back-end systems using Python and Go to support new features and improve existing functionalities.
Automate cloud infrastructure and deployment processes using AWS services and automation tools.
Optimize databases and data pipelines by working with technologies like Elasticsearch, SQL, and big data frameworks.
Integrate AI/LLM technologies into our products to enhance data analysis and threat detection capabilities.
Collaborate with cross-functional teams to drive critical strategic projects and ensure alignment with business objectives.
Operate and maintain production systems in a public cloud environment, ensuring high availability and performance.
Contribute to solving complex cybersecurity challenges by developing innovative tools and features.
Stay updated with the latest technologies and industry trends to continuously improve our products and processes.

What You Will Bring

A culture-first, team-first attitude to everything you do
5+ years of production software engineering experience, with expertise in:
- Front-end development using frameworks like Streamlit and JavaScript frameworks such as Vue/Nuxt.
- Back-end development with languages like Python and Go.
- AWS automation and cloud services.
- Database and big data technologies, including Elasticsearch and SQL.
Strong understanding of networking concepts, including TCP/IP routing.
Proficiency in network monitoring tools, including PCAP analysis and Wireshark.
Knowledge of software testing methodologies and experience designing effective tests.
Experience operating and maintaining production systems in a public cloud environment.
Ability to write readable, maintainable code and produce clear documentation.
Strong communication skills, with the ability to collaborate effectively across teams.
Demonstrate engineering rigor by writing clean, maintainable code, comprehensive documentation, and thorough tests.

Nice to Haves

Interest in data science and familiarity with LLMs, clustering, classification, etc.
Familiarity or interest in internet mass scanning or honeypots.
Experience with virtualization and containerization technologies, such as VMs, Docker, or other hypervisors.
Understanding of information security and networking topics, including internet protocols (HTTP, SSH, Telnet), remote service exploitation, Denial-of-Service attacks, and PCAP data.

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.
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

👩‍⚕️ 100% covered health, dental, vision, and life plans for all employees

6️⃣ Competitive 401k employer match of 6%, which is special for a startup. This will be 100% matched and vested from day 1

🏖 Unlimited paid time off. To encourage time off from work and ensure overall employee health and wellness, GreyNoise strongly recommends each employee to take at least 120 hours of PTO (3 weeks) annually, including at least five consecutive business days

🌎 Remote-first culture. While we are headquartered in the Washington DC area, we have a distributed workforce -- with the majority of our team working remotely from across the country

💻 Equipment budget. Every new employee gets $3,000 to spend on equipment, so you can pick whatever works best for you

👼 Paid family leave for all employees. We offer 4 months of paid leave (birth or adoption), plus 2 months of optional unpaid leave, so new parents have time to adjust to the new life (and work) schedule

📚 Learning & development budget. All employees receive an annual $1,500 towards professional development related to their job function. The stipend can be applied to tuition, books, conferences, and more

🌴 Company offsites and monthly local hangouts to encourage team bonding

GreyNoise Culture

The hallmark of any great company is a palpable and viscous culture. The most important pillars of our culture are:

Be transparent, honest, and objective. This is what it means to be “clinical”
Empathize with customers, partners, and each other
Learn from mistakes and share the knowledge
The way feedback is delivered to one another matters as much as the feedback itself
Good work-life balance is the key to sustained productivity
The measure of a team member’s effectiveness is how well the rest of the team operates in their unexpected absence
No such thing as a million dollar idea, only million dollar execution
Out-innovate our previous selves

Check out our (work-in-progress) longform culture document.

Explainability

Any security product that is a “black box” that asks you to blindly trust it should raise red flags - we believe the same is true of your place of work. We obviously think GreyNoise is doing something unique, but don’t take our word for it - ask any of our 150+ enterprise customers, investors, thousands of happy users, or dozens of journalists who have cited GreyNoise over the past few years.

Why You Should Work at GreyNoise

You enjoy identifying and solving hard problems
You are comfortable taking an idea from concept to customer
You are open to both explaining your stance and questioning others in a clinical, open-minded, and respectful manner
You want to directly impact users
You want to grow beyond your current skill set

Apply for the job

Do you want to join our team? Then we'd love to hear about you!

Full Stack Engineer - AI Projects