Senior SRE: Scale, Reliability & Observability

RXinsider LTD.

San Francisco, Northern (CA, KY)

Hybrid

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Healthcare Coverage
401(k) with Company Match
Equity
Unlimited PTO
Daily Lunch Stipend
Wellness Stipend
Commuter Benefits
Parental Leave

Job summary

Plenful is hiring a Senior Site Reliability Engineer (SRE) to keep production systems reliable, performant, and scalable as the company grows. You will own production health, define reliability standards, and build feedback loops that improve resilience over time.

You’ll collaborate with backend, data, and ML teams to ensure high availability and measurable performance. This role follows a hybrid model with office presence in San Francisco and New York, and remote-friendly policies for a

Qualifications

  • 5+ years in SRE or production infrastructure.
  • Experience debugging distributed systems in production.
  • Hands-on with observability tooling and incident response.
  • Familiar with AWS, serverless, containers, and Postgres.
  • Coding/scripting ability (Python, Bash).

Responsibilities

  • Define and enforce SLOs, SLIs, and error budgets across core services.
  • Own production system health: uptime, latency, availability targets.
  • Improve resilience and reduce MTTR through automation and tooling.
  • Lead on-call rotations, incident triage, and blameless postmortems.
  • Design and evolve observability across metrics, logs, tracing, and dashboards.

Skills

SRE experience
Distributed systems
Observability tooling
On-call/incident response
AWS/serverless/containers
Automation (Python/Bash)

Tools

Datadog
Grafana
OpenTelemetry
Sentry
CloudWatch
GitHub Actions

Job description

Plenful is hiring a Senior Site Reliability Engineer (SRE) to keep production systems reliable, performant, and scalable as the company grows. You will own production health, define reliability standards, and build feedback loops that improve resilience over time.

You’ll collaborate with backend, data, and ML teams to ensure high availability and measurable performance. This role follows a hybrid model with office presence in San Francisco and New York, and remote-friendly policies for a

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