Senior Site Reliability Engineer

Iru • Miami, FL

17d • Hybrid

About The Position

Iru is hiring a Senior Site Reliability Engineer to own incident detection, response, and learning, and to drive consistent observability across services and teams. Working alongside the Infrastructure team, this role complements platform-building work with a focus on operational excellence and measurable reliability. The engineer will partner with engineering and platform teams to reduce mean time to detect (MTTD) and mean time to resolve (MTTR), making reliability measurable, repeatable, and ultimately owned by teams.

The role leads and refines the incident lifecycle, maintains incident processes and documentation, facilitates blameless postmortems, and improves coordination during major incidents. It also establishes organization-wide Datadog observability standards, drives adoption of SLOs, SLIs, and error budgets, and provides reusable dashboards, monitor templates, and alerting patterns. The engineer champions user-impact-focused alerting, partners with Infrastructure on observability stack decisions, and works to reduce alert noise and on-call burden.

The position also develops reliability culture by mentoring engineers in operational excellence, safe deployments, and production readiness; contributing to capacity planning, chaos/game-day exercises, and reliability reviews; and aligning SRE and Infrastructure teams on tools, standards, and goals. Success means fewer repeated incidents, actionable postmortems, team-owned reliability objectives, consistent observability, and sustainable on-call practices.

Requirements

• At least 5 years of experience in SRE, production engineering, or an equivalent field, including on-call responsibility for customer-facing systems.
• Proven experience running or significantly improving incident response processes or tooling in a distributed systems environment.
• Deep, hands-on Datadog experience, including building dashboards, monitors, and instrumentation standards across multiple teams or services.
• Experience with metrics, logging, and tracing at scale.
• Demonstrated experience defining production SLOs and SLIs and error budget policies, and working with teams to codify reliability metrics.
• Strong understanding of Linux, networking, distributed-systems failure modes, and cloud or hybrid infrastructure, including Kubernetes, load balancers, databases, and queues.
• Proficiency in at least one of Go, Python, or a similar language for tooling and automation.
• Comfort with infrastructure-as-code concepts, such as Terraform or equivalent.
• Clear written and verbal communication skills, including the ability to facilitate high-pressure incident discussions and deliberate postmortems.
• Track record of influencing without direct authority and driving adoption across engineering teams.

Nice To Haves

• Experience with OpenTelemetry or similar vendor-neutral instrumentation strategies.
• Familiarity with PagerDuty, Incident.io, Opsgenie, or similar incident-management tools, and Statuspage or an 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.

Responsibilities

• Lead and refine incident detection, triage, communication, mitigation, resolution, and post-incident review.
• Define and maintain severity models, escalation paths, on-call expectations, and usable, up-to-date runbooks and playbooks.
• Facilitate blameless postmortems and turn findings into tracked remediations and shared learning that reduces repeat incidents.
• Improve coordination during major incidents, including roles, tooling, customer and stakeholder updates, and handoffs.
• Partner with security, support, and product on incident communications and applicable regulatory or contractual obligations.
• Establish and maintain organization-wide Datadog standards for metrics, logs, and traces, including naming conventions, cardinality, retention, and sampling.
• Define and drive adoption of SLOs, SLIs, and error budgets across engineering teams, supporting teams at different stages of maturity.
• Build and maintain reusable Datadog dashboard templates, monitor templates, and alerting patterns.
• Promote golden signals and RED/USE-style alerting focused on user-impacting symptoms rather than infrastructure noise.
• Partner with Infrastructure on observability stack decisions, multi-tenancy, cost controls, and data lifecycle.
• Reduce alert noise through threshold tuning, ownership assignment, and on-call load management.
• Mentor engineers on operational excellence, safe deployment practices, and production readiness.
• Contribute to capacity planning, chaos/game-day exercises, and reliability reviews for critical changes.
• Connect SRE and Infrastructure teams by aligning on tooling, standards, and shared goals.

Benefits

• Competitive salary.
• Hybrid work environment with 3 days in the office per week.
• 100% individual and dependent medical, dental, and vision coverage.
• 401(k) with a 4% company match.
• 20 days of PTO.
• Iru Wellness Week during the first week of July.
• Equity for full-time employees.
• In-office lunch stipend.
• Up to 16 weeks of paid leave for new parents.
• Paid Family and Medical Leave.
• Modern Health mental health benefits for individuals and dependents.
• Fertility benefits.
• Working Advantage employee discounts.
• Onsite fitness center.
• Free parking.
• Opportunities for career growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed