Staff Software Engineer, Alerting Platform

About Command|Link

Command|Alert is CommandLink's signal-processing core: the engine that turns raw security, monitoring, and customer-defined telemetry into alerts customers actually trust. Alert fatigue and noise are the top complaint across every competitor in this space, and this role exists to make sure our alerts are the ones people don't tune out.

• →Set the architecture for how Command|Alert evaluates rule-based thresholds, ML anomaly scores, and correlation logic to produce high-fidelity alerts, across both global alerts we define and alerts customers define themselves.
• →Own the reliability of the alerting pipeline end to end: from OpenSearch alert evaluation through Kafka delivery via OpenSearch callbacks to downstream notification, including idempotency guarantees and soak-tested behavior under sustained load.
• →Drive the correlation strategy that turns diverse sources (security tooling, monitoring telemetry, syslog, OpenTelemetry, L2-L4 network protocols) into usable network and system topologies and their dependencies, and make that context usable for LLM reasoning over investigations and remediation.
• →Lay the technical groundwork for generating alert definitions from the normalized data model using LLMs.
• →Jump into any team or workstream across Command|Alert that needs architectural guidance, unblocking others and raising the bar on how the system is built.
• →Balance strategic bets (new correlation and detection capability) against the long-term foundation the alerting engine needs to hold up at scale.
• →Mentor engineers across the teams you touch, and represent Command|Alert's technical direction to stakeholders outside engineering.
• →Takes on additional responsibilities and projects as needed to support the success of the team and organization.

• Demonstrated experience designing, building, or operating high-reliability alerting or notification systems in production, including running rule-based and ML-based detection logic against real traffic at scale.
• Strong Kafka experience, particularly producing and consuming event streams for downstream delivery.
• A working command of telemetry and protocol data: security tooling output, monitoring telemetry, syslog, OpenTelemetry, NetFlow or sFlow, SNMP, ICMP, and firewall logs, and the ability to turn that data into real network and system topologies and dependency maps.
• A track record building or operating systems where webhook reliability, idempotency, and delivery guarantees under load are non-negotiable.
• Recognized mastery of Go and/or Python, with range across container orchestration and a multi-cloud footprint.
• A demonstrated ability to make org-level architecture and technology calls, not just execute within one.

• Experience with Temporal or a comparable workflow orchestration platform.
• Experience using LLMs to reason over structured system or network data for troubleshooting, remediation, or investigation workflows.
• Familiarity with stream processing frameworks like Flink, Protocol Buffers for service contracts, or Argo and Spacelift for CI/CD and infrastructure as code.
• Familiarity with Memgraph or another graph store for topology data.
• Background with osquery, Steampipe, or similar endpoint and cloud inventory tooling.
• Experience operating in a multi-tenant, cloud-native environment with secrets management and TLS at scale

Join us at CommandLink, where you'll have the opportunity to shape the future of business communication. We value the innovative spirit and seek individuals ready to bring their unique vision and expertise to a team that values bold ideas and strategic thinking. Are you ready to make an impact?

• Room to grow at a high-growth company
• An environment that celebrates ideas and innovation
• Your work will have a tangible impact
• Flexible time off  
• Fun events at cool locations
• Employee referral bonuses to encourage the addition of great new people to the team

At CommandLink, we’re committed to creating a fair, consistent, and efficient hiring experience. As part of our process, we use AI-assisted tools to help review and analyze applications. These tools support our recruiting team by identifying qualifications and experience that align with the requirements of each role.

AI tools are used only to assist in the evaluation process — they do not make final hiring decisions. Every application is reviewed by a member of our recruiting or hiring team before any decisions are made.