Specter

Fleet Reliability Engineer

San Francisco

Sponsorship not specifiedDetected 8 days ago

PythonSQLPostgreSQLTerraformPrometheusGrafanaDatadogSite Reliability EngineeringAgentic AIForecasting

About the role

As we scale toward thousands of sensors, fleet health becomes a data-and-systems problem.
Much of today's operational load is addressable through better instrumentation, alert hygiene, and recovery verification, at little to no field cost.

Own the fleet's reliability data pipeline end to end: telemetry aggregation, storage, and instrumentation.
Drive down observability cost - own the tooling spend and cut what we pay for but don't use.
Build the failure-mode analysis that tells engineering what to fix at the source.
Own fleet-wide trend and forecasting work, including power and solar planning.
Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments.
We're hiring a Fleet Reliability Engineer to keep our sensor fleet running in the field by building the data, analytics, and recovery mechanisms that prevent failures from becoming incidents.

Experience operating physical or embedded device fleets at scale, and reasoning about how hardware fails in the field.
Strong data and software skills - Python (or Go) and SQL - and the ability to own a data pipeline end to end.
Hands-on building and tuning observability stacks (OpenTelemetry, Grafana, Prometheus, Datadog, or similar), including their cost.
Comfortable turning messy field telemetry into trends, failure modes, and forecasts.
Bias toward building mechanisms over doing manual work.

reliability/SRE fundamentals (SLOs, error budgets, proof-of-recovery) applied to a physical fleet.
experience across the hardware-software boundary - power, connectivity, and physical failure modes.
Fluency with databases and data modeling (PostgreSQL or equivalent)
infrastructure-as-code familiarity (Terraform or similar) a plus.
Nice to have: reliability/SRE fundamentals (SLOs, error budgets, proof-of-recovery) applied to a physical fleet.
Nice to have: experience across the hardware-software boundary - power, connectivity, and physical failure modes.

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.
Instrument the fleet and own the health metrics that measure reliability.
Fleet Health & Failure-Mode Analytics

We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.

This listing is sourced directly from Specter's careers page and normalized into a canonical job model.