Senior Forward Deployed Engineer

🕒 Julho 8

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Ciroos

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2025

🤖 Inteligência Artificial

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Ciroos é uma plataforma de observabilidade e investigação de incidentes impulsionada por IA, que automatiza e aprimora os fluxos de trabalho de Engenharia de Confiabilidade de Sites (SRE). A plataforma utiliza IA multi-agente para correlacionar telemetria entre domínios, analisar autonomamente anomalias e incidentes, e fornecer recomendações com intervenção humana e playbooks de remediação. Ciroos se integra com telemetria empresarial e canais de colaboração para reduzir o trabalho repetitivo dos SREs, acelerar a análise de causa raiz e apoiar revisões pós-incidente.

Descrição

• 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 BigPanda, Moogsoft, PagerDuty, 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., ServiceNow bi-directional sync and field mapping), collaboration (Microsoft Teams / Slack), observability (Dynatrace, Quantum Metric, Databricks), and knowledge sources (GitHub, 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 demonstrating MTTR reduction and elimination of manual toil. • Translate messy, ambiguous customer requirements into clear technical designs, milestones, trade-offs, and acceptance criteria, and keep execution truth legible by making blockers, risks, dependencies, and scope changes explicit early with clear owners and next steps. • Design and ship AI-powered investigation and remediation workflows with clear tool boundaries, guardrails, deterministic fallbacks, and human-in-the-loop controls—and define quality controls (versioning, grounding, evals, feedback loops) so the AI SRE Teammate stays trustworthy in production. • Ship reusable deployment modules, reference architectures, runbooks, and cutover plans (“golden paths”) that accelerate future customer work and raise delivery repeatability across accounts. • Own the value case: set impact hypotheses, baselines, and KPIs (e.g., MTTI/MTTR reduction, toil eliminated), run pre-/post-deployment measurement, and report ROI to executive sponsors. • Channel recurring field learnings into roadmap input and product hardening, especially where the same customer pain points show up across deployments. • Contribute to a culture of continuous learning and improvement within Ciroos.

🎯 Requisitos

• Customer obsessed: Deep empathy for customers in operational roles such as yours (SREs, ITOps, and DevOps) with a passion to reduce their toil and innovate on their behalf, and always willing to go the extra mile to delight customers. • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • At least 6 years of experience in Site Reliability Engineering, DevOps, or a similar operational role, including technical leadership or end-to-end ownership of customer-facing delivery. Prior experience in a technical customer success or forward-deployed/solutions engineering role is a strong plus. • Strong proficiency in at least one programming language (e.g., Python, Go, Java). • Extensive experience with cloud platforms (AWS, GCP, or Azure). • Solid understanding of Kubernetes, infrastructure as code tools (e.g., Terraform, CloudFormation, Ansible), and CI/CD pipelines. • Intimately familiar with Generative AI, ML concepts and technologies. You must be actively using AI tools to drive your own personal productivity. • Strong hands-on experience with observability tools (e.g., Dynatrace, Datadog, Prometheus), ITSM/ticketing systems (e.g., ServiceNow), and incident management/response systems—including integrating and mapping data between them. Experience migrating a customer off an incumbent AIOps, alerting, or incident-management platform (e.g., BigPanda, Moogsoft, PagerDuty, Elastic, Splunk) is a strong plus. • Excellent problem-solving and analytical skills to diagnose complex systems systematically, including comfort writing and debugging alert-correlation logic, normalization rules, and regular expressions against messy real-world alert data. • Strong written and verbal communication skills with a collaborative mindset. • Track record of independently owning enterprise implementations end-to-end—not just contributing tasks within a larger delivery team—including managing timelines and deliverables, driving daily/weekly customer syncs, and producing executive-facing status updates and SLA documentation, with strong customer outcomes and minimal execution drift. • Strong integration and data experience: APIs, webhooks, event-driven systems, schema alignment, transformations, retries/idempotency, reliable error handling, and end-to-end integration configuration (field mapping, bi-directional sync, SSO/SAML)—including, where required, taking apps through marketplace certification (e.g., ServiceNow Store, Microsoft Teams). • Hands-on experience designing and delivering production-grade AI/automation workflows, ideally LLM-powered, with practical guardrails and evaluation approaches. • Comfort with enterprise security and architecture requirements—RBAC, encryption, auditability, private networking, identity, and data-handling expectations. • Calm, high-judgment execution in ambiguous, fast-moving customer environments, moving fluidly between system-level architecture and execution-level detail. • Intrinsically curious and able to thrive amid ambiguity, shifting customer scope, and hard deadlines—driving projects to completion while keeping enterprise stakeholders aligned.

🏖️ Benefícios

• Comprehensive medical, vision, and dental benefits. • 401k plans and commuter benefits. • Free lunches, snacks, and top-of-the-line espressos!