Staff Software Engineer, C021 Security

Cribl

6h•Remote

About The Position

Cribl does differently. What does that mean? It means we are a serious company that doesn’t take itself too seriously; and we’re looking for people who love to get stuff done, and laugh a bit along the way. We’re growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are. As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity. Why You'll Love This Role Cribl’s C021 org is where new product ideas come to life. We move fast, experiment often, and aren’t afraid to break things along the way if it helps us learn faster and build better products. This is where we prototype, validate ideas, and turn early concepts into real solutions for customers. We’re looking for a Staff Engineer to join a new product initiative within C021. In this role, you’ll be a senior technical contributor working closely with engineers, domain experts, and product partners to design and build core capabilities of an emerging data platform. You’ll take ownership of significant technical areas, help translate ambiguous ideas into working systems, and stay deeply hands-on in the code. The work is a blend of research and development, focused on building scalable, reliable systems that process large volumes of data in real time. This is a fully remote role, and Cribl is a remote-first company. Our culture embraces the diversity of team members spread across the globe.

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience
8+ years of experience building and operating production software systems
Strong experience designing and implementing distributed systems in real-world environments
Hands-on experience with data-intensive or streaming systems (e.g., Kafka, Flink, Spark, Druid, or similar technologies)
Experience building backend services and APIs that operate reliably at scale
Familiarity with cloud platforms such as AWS, Azure, or GCP
Solid understanding of data structures, algorithms, operating systems, and distributed systems fundamentals
Working knowledge of Linux, Docker, and Kubernetes
Ability to work independently on complex problems while collaborating effectively with a distributed team
Clear and effective communication skills, especially in a remote environment
Strong ownership mindset with attention to quality, performance, and maintainability

Nice To Haves

Experience building products or platforms for security practitioners
Familiarity with security frameworks such as MITRE ATT&CK
Experience building rule engines, large-scale event processing systems, alerting workflows, or enrichment pipelines
Exposure to AI-driven capabilities (e.g., LLMs, embeddings, intelligent automation) in production systems
Experience working on remote-first teams
Experience with JavaScript and Node.js
Willingness to speak up, challenge ideas constructively, and share opinions
Appreciation for good jokes (or bad ones)
A love for goats

Responsibilities

Own and deliver key technical components of a new data-driven product, with a focus on backend platforms, APIs, and data processing pipelines
Partner with product and domain stakeholders to understand customer needs and incorporate feedback into solutions
Design, build, and evolve scalable systems that ingest, process, and route high-volume streaming data
Collaborate with peers and technical leaders to contribute to architecture and design decisions across the team
Turn loosely defined ideas into concrete technical designs and working implementations
Lead development of complex features end-to-end, from early exploration and prototyping through production rollout
Stay hands-on in the codebase, contributing high-quality code, reviewing pull requests, and improving core abstractions
Mentor and support other engineers, raising the overall technical bar of the team