About The Role

Join Feeld, an inclusive and human-centered product focused on building intimate connections. As a Staff Reliability Engineer (Full Stack), you will improve the reliability and operability of our production systems, lead technical decisions, and strengthen engineering practices. This is a hands-on role with significant cross-team influence, and you will collaborate with various squads to enhance production ownership and reliability. Enjoy flexible working hours, unlimited paid time off, and a supportive remote-first work environment.

Lead technical problem-solving during incidents, coordinating response, diagnosing root causes, communicating status, and driving to resolution.
Build and evolve monitoring/observability (dashboards, alerts, tracing, logging) that enables fast detection and diagnosis.
Drive post-incident reviews (blameless) and ensure learnings become durable fixes (tech changes, runbooks, automation, process updates).
Demonstrated Staff-level IC leadership: influence through design reviews, technical direction, documentation, and cross-team alignment
Experience collaborating with mobile teams and understanding mobile↔backend integration concerns (e.g., API compatibility, releases, feature flags)
Proven incident response leadership: on-call participation, triage, mitigation, and root-cause analysis (RCA) with follow-through
Significant experience building and operating production backend systems at scale, including debugging distributed systems and performance issues
Solid observability skills: practical experience with logging/metrics/tracing and turning signals into actionable alerts and dashboards
Strong TypeScript/Node.js (or equivalent) backend experience; comfort working across services and APIs
React Native experience and/or strong understanding of mobile architecture patterns and release constraints
AWS (or similar cloud) experience and familiarity with infrastructure-as-code, CI/CD, and production tooling
Experience designing reliability programs (SLOs, error budgets, incident process) and running operational excellence improvements
Experience with PostgreSQL / Redis and performance tuning in high-traffic systems
Experience in a high-growth environment where prioritization and pragmatic trade-offs are essential

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