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What You Will Do
Lead initiatives related to deployment, scaling, monitoring, and enhancing the backend services, pipelines, and infrastructure supporting GreyNoise’s deception technologies.
Work as a member of the team of engineers responsible for GreyNoise’s sensor and core networking technologies.
Develop new capabilities to enable wider and more diverse deception profile deployment in a scalable, observable, and modular fashion, combining software engineering and infrastructure management skillsets.
Collaborate with the GreyNoise 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.
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, 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 CloudFormation
Designing and implementing CI/CD pipelines using Github Actions.
Experience designing modular OS images and managing build artifacts
Familiarity with containerization, process jailing, and virtual-machine isolation technologies
Knowledge of common networking protocols and networked services
A firm 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.
Nice to Haves
Experience building integration platforms with support for external contribution.
Experience using Rust.
Knowledge of monitoring and logging tools to improve observability (e.g. Grafana, Honeycomb, CloudWatch).
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.
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