We are seeking an Engineering Manager for Cloud Security Product Group.
We're extending our mission of "stopping breaches" into the public cloud and cloud-native workloads. Our product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment.
This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, our endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.
This role is hybrid, on-site at TLV office. Candidates should be comfortable visiting the office at least 3 times a week.
What You'll Do:
Lead, mentor and grow a team of backend engineers, driving product vision and roadmap while remaining hands-on with code and architecture.
Lead backend engineering efforts from rapid prototypes to large-scale applications across our products.
Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale.
Balance hands-on technical contributions with people management responsibilities.
Brainstorm, define and build collaboratively with members across multiple teams.
Drive technical direction and make architectural decisions for the team.
Work in a startup-like environment with a small fast-moving team.
Mentor and be mentored by other developers on backend, and data storage technologies and our system.
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability.
Be given the autonomy to own your work in a high trust environment.
Requirements: What You'll Need:
7+ years of experience in backend and systems programming (Go / Python / NodeJS / Java / C#).
3+ years of experience leading or mentoring engineering teams.
Experience with the design of distributed systems, microservices architectures, and event-based architectures for runtime systems at scale.
Ownership, responsibility and professionalism.
Great interpersonal and leadership skills.
Cloud in-depth knowledge (AWS / GCP / Azure).
Experience with Docker / Kubernetes or similar.
Ability to learn quickly and independently.
Experience with AI-powered developer tools.
Bonus Points:
Existing exposure to Go, AWS, Cassandra, Redis, Kafka, Elasticsearch...
Prior experience in the cybersecurity or intelligence field.
Contributions to the open-source community (GitHub, Stack Overflow, blogging).
This position is open to all candidates.