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Iru is an AI-powered security and IT platform used by fast-growing companies to secure users, apps, and devices. The company unifies identity & access, endpoint security & management, and compliance automation. Backed by General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital, Iru raised $100M in July 2024 at an $850M valuation. Customers include Cursor, Vercel, Bumble, Plaid, Glean, Apollo, Replit, and Mercor.
You will own how Iru detects, responds to, and learns from incidents, and drive consistent observability across services and teams. This role sits at the intersection of reliability engineering and cross-team enablement, working alongside the Infrastructure team to complement platform-building with a focus on operational excellence and measurable reliability.
Key responsibilities include:
**Incident Lifecycle & Response:** Lead and refine detection, triage, communication, mitigation, resolution, and post-incident review. Define severity models, escalation paths, on-call expectations, and runbooks. Facilitate blameless postmortems and turn findings into tracked remediations and shared learning.
**Observability Standardization:** Establish organization-wide standards for metrics, logs, and traces in Datadog (naming conventions, cardinality, retention, sampling). Define and drive adoption of SLOs, SLIs, and error budgets across engineering teams. Build and maintain reusable Datadog dashboard templates, monitor templates, and alerting patterns. Champion golden signals and RED/USE-style alerting philosophies aligned with user-impacting symptoms.
**Reliability Culture:** Mentor engineers on operational excellence, safe deployment practices, and production readiness. Contribute to capacity planning, chaos exercises, and reliability reviews. Serve as a connective layer between SRE and Infrastructure teams.
You will partner with engineering, platform, security, support, and product teams to reduce MTTD and MTTR, making reliability measurable, repeatable, and ultimately team-owned.
**Requirements:**
- 5+ years in SRE, production engineering, or equivalent, including on-call responsibility for customer-facing systems
- Proven experience running or significantly improving incident response (process, tooling, or both) in a distributed systems environment
- Deep, hands-on experience with Datadog—building dashboards, monitors, and instrumentation standards across multiple teams or services; experience with metrics, logging, and tracing at scale
- Demonstrated experience defining SLOs/SLIs and error budget policies in production; comfortable working with teams to codify metrics their reliability posture is based on
- Strong understanding of Linux, networking, distributed systems failure modes, and cloud or hybrid infrastructure (Kubernetes, load balancers, databases, queues)
- Proficiency in at least one of Go, Python, or similar for tooling and automation; comfort with IaC concepts (Terraform or equivalent)
- Clear written and verbal communication; ability to facilitate discussions during high-pressure incidents and deliberate postmortems
- Track record of influencing without direct authority and driving adoption across engineering teams
**Nice to Have:**
- Experience with OpenTelemetry or similar vendor-neutral instrumentation strategies
- Familiarity with PagerDuty, Incident.io, Opsgenie, or similar; Statuspage or equivalent for external communications
- Experience in a hyper-growth startup environment
- Experience in regulated or high-compliance environments
- Contributions to internal developer platforms or shared reliability tooling
