Senior Software Engineer (Realtime Detection)

Flexible - ItalyRemoteRegular - Full Timesenior

Software EngineerSoftware Engineering

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Overview

Technical Tools

dockergokafkakubernetespostgresqlredisdistributed-systemslinux

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?

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

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, 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