Senior Forward Deployed Engineer

Role Summary

Do you want to operate at the edge of innovation—solving mission‑critical customer problems, shaping product direction, and deploying AI capabilities where they matter most? If you thrive in fast‑moving environments where deep engineering meets real‑world customer impact, this role awaits you!

We're looking for an experienced and curious Senior Forward Deployed Engineer (FDE) to join our team. You will serve as the technical vanguard for our largest and most sophisticated customers — deploying Ciroos in enterprise ecosystems, solving real‑world production engineering bottlenecks, and translating operational pain into product leverage. This is a customer‑facing engineering role where you directly integrate Ciroos into complex, heterogeneous enterprise environments.

Your work materially influences our roadmap, accelerates customer adoption, and ensures successful production outcomes. You'll work closely with our product and engineering teams, and our customers, to ensure our AI SRE Teammate delights our customers. You'll be responsible for the availability, operational performance, emergency response, and support for our service that is currently deployed in multiple enterprise production environments. This is an opportunity to be part of a team that is defining a red‑hot category (AI in SRE) led by a stellar team with an impeccable track record.

• Implement and optimize our AI SRE Teammate to meet the needs of our customers in production and pre‑production environments.
• Proactively monitor customer deployments (with Ciroos!) to ensure that our customers get the best out of the product.
• Use Ciroos to uncover latent reliability issues (misconfigurations, deployment regressions, scaling) of customer environments.
• Recommend best practices to customers for implementing the Ciroos AI SRE Teammate in their environment.
• Plan, design, build, and maintain highly scalable, reliable, and efficient infrastructure for our AI SRE Teammate.
• Serve as the customer’s technical advocate into engineering and product.
• Conduct post‑incident reviews to identify root causes and implement preventative measures.
• Ensure security best practices are integrated into customer deployments.
• Train SRE, Ops, and Platform teams at the customer on how to operate with Ciroos AI SRE Teammate.
• Lead enterprise migrations onto Ciroos (e.g., replacing incumbent alerting/AIOps platforms such as Big Panda, Moogsoft, Pager Duty, Elastic, or Splunk), including replicating hundreds to thousands of existing correlation rules, running phased cutovers, and hitting hard customer go‑live dates.
• Design, build, and tune alert normalization and correlation policies—writing conditions and operators (IN / CONTAINS / REGEX), extracting fields from noisy sources (email, Jenkins, CI/CD), and choosing tailored playbooks over catch‑all rules.
• Integrate Ciroos with the customer’s operational stack—ticketing (e.g., Service Now bi‑directional sync and field mapping), collaboration (Microsoft Teams / Slack), observability (Dynatrace, Quantum Metric, Databricks), and knowledge sources (Git Hub, Confluence)—including any required app‑marketplace certification.
• Validate and continuously improve investigation quality—diagnosing query‑conversion and enrichment errors, unblocking failed investigations, and tuning RCA accuracy so the AI SRE Teammate earns customer trust.
• Stand up proactive health monitoring for customer deployments (e.g., real‑time Slack status channels, SLA‑driven alerts on missing metadata or ticket‑creation failures) so issues are caught before the customer notices.
• Own customer‑facing communications and delivery artifacts—weekly executive status updates, SLA documents, escalation paths, and migration/scope‑change tracking—and coordinate daily syncs with customer project leads.
• Build long‑term technical relationships with senior engineering leaders at customer organizations.
• Own customer implementations end‑to‑end—from technical discovery and solution design through production cutover, UAT, go‑live, hypercare, and post‑launch stabilization—driving execution independently across customer, product, and engineering threads, and…