Sysdig
cloud security
SeniorSoftwareEngineer(RealtimeDetection)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer (Realtime Detection) at Sysdig. Skills: real-time detection, response to security threats, cloud security, cloud-native applications. Design and develop components related to real-time detection and response to security threats in hosts, Kubernetes, and Cloud assets. Build distributed Go services and APIs to process, store, and expose customer asset metadata and runtime insights”
Industry & Context.
Analytical approach; problem-solvers
on-call rotation
What They're Looking For.
Must Have
Computer science fundamentals in design, data structures, and algorithms, 5 years in a software engineer role, Experience writing production services in Go (or systems-language background with willingness to ramp on Go quickly), Experience with cloud-native infrastructure and containerized workloads (Linux, Docker, Kubernetes), Experience with technologies such as Postgres, Elastic, Redis and queueing systems like JetStream/Kafka, Analytical approach to take technical decisions in a traffic intensive and distributed architecture, Clean coding and automation practices, operational mindset: logging/metrics/tracing practices for observability and troubleshooting distributed systems
Nice to Have
open source enthusiasts
What You'll Do.
Design and develop components related to real-time detection and response to security threats in hosts
Build distributed Go services and APIs to process
and expose customer asset metadata and runtime insights
Contribute to architecture improvements for reliability
Participate in an on-call rotation to address any urgent issue
How You'll Work.
Team & Collaboration
Collaborate with Product, Threat Research, Frontend/UX, and customer-facing teams to deliver features with measurable impact
Communication Scope
open dialogue
Full Job Description
## Description In the cloud, every second counts. On the leading edge of security, Sysdig stops attacks in real-time by instantly detecting changes in cloud security risk with runtime insights and open source Falco. Trusted by a large enterprise customer base, we are a well-funded startup, passionate open source enthusiasts at heart, and problem-solvers who are building and delivering powerful solutions to secure cloud-native applications. We have an organizational focus on delivering value to customers. We appreciate diverse opinions and open dialogue to spur ideas and we believe in working together to achieve our goals. We're an international company that understands how to cultivate an inclusive environment across all teams. And we're a great place to work too - we've been named a "Best Places to Work" by Inc, the San Francisco Business Time, and Built In, with recognitions ranging from "Best Benefits" to a "Best Company for Happiness". We are looking for driven team members who want to join us on our mission to lead cloud security globally. Does this sound like the right place for you? ## What you will do Design and develop components related to real-time detection and response to security threats in hosts, Kubernetes, and Cloud assets. Build distributed Go services and APIs to process, store, and expose customer asset metadata and runtime insights Contribute to architecture improvements for reliability, performance, and cost-efficiency Collaborate with Product, Threat Research, Frontend/UX, and customer-facing teams to deliver features with measurable impact Participate in an on-call rotation to address any urgent issue ## What you will bring with you Computer science fundamentals in design, data structures, and algorithms 5 years in a software engineer role Experience writing production services in Go (or strong systems-language background with willingness to ramp on Go quickly) Experience with cloud-native infrastructure and containerized workloads (Linux, Do
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