Job Url: https://boards.greenhouse.io/embed/job_app?token=4652992005&utm_source=jobright&jr_id=697320e41790715e866c1eb9

Job Description: SENIOR SOFTWARE ENGINEER - FULL STACK
(View all jobs)
Remote within the United States
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 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.

 

What You Will Do
Lead full stack engineering projects spanning across the entire application stack, ensuring alignment with customer and organizational needs.
Collaborate across the engineering organization to steer the future of how the GreyNoise platform and the services running on it are delivered.
Collaborate with product, customer experience, and other internal stakeholders to design and deliver customer-facing platform-level capabilities with a focus on reliability, scalability, and performance.
Debug and troubleshoot complex production issues across multiple systems, leveraging strong analytical skills and attention to detail.
Act as a technical leader, helping triage on-call tickets, prioritizing and unblocking team members, and supporting sprint planning efforts with your team.
Serve as a mentor for other engineers, fostering a culture of knowledge sharing and technical excellence.
 

What You Will Bring
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.
Strong debugging skills, including the ability to diagnose and resolve complex issues across APIs, infrastructure, integrations, and distributed systems.
5+ years of production software engineering experience, including:
Developing and maintaining RESTful APIs and integrations.
Working with Go (Golang) for backend development.
Managing cloud-based infrastructure using Terraform or AWS CloudFormation, including ECS, EKS, RDS, and AWS.
Designing and implementing intuitive frontend user interfaces.
Knowledge of Kubernetes and supporting applications running on it.
A firm understanding of computer networking.
A collaborative and communicative mindset, with a willingness to engage across teams and disciplines to deliver customer value.
Experience leveraging AI-tooling as part of your day-to-day software development workflow.
 

Nice to Haves
Experience with Vue.js and Nuxt.
Familiarity with AWS Athena, Parquet, and Glue.
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.
Knowledge of monitoring and logging tools to improve observability (e.g. Datadog, Grafana, CloudWatch).
Experience managing event-driven application architectures using technologies like Kafka.
Data serialization and deserialization experience
Familiarity with business intelligence systems and integration.
Working knowledge of authentication and security standards like OAuth, SAML, and TLS.
 

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