Backend Engineer - Metrics Infrastructure

Avride

Austin (TX)

On-site

USD 90,000 - 135,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Job summary

A technology company is seeking a Backend Engineer to design and maintain a platform for metrics related to autonomous vehicles. The ideal candidate will have strong SQL skills, experience with databases like PostgreSQL, and proficiency in building web services. This full-time role is based in Austin, Texas, and offers a salary range of $90,000 to $135,000.

Qualifications

Strong SQL skills including JOINs and CTEs.
Good grasp of data structures and algorithms.
Experience with PostgreSQL and ClickHouse.

Responsibilities

Own and optimize the metrics platform.
Build and maintain the framework for writing/running metrics.
Create test systems for metrics and pipelines.

Skills

Strong SQL (JOINs, window functions, CTEs)

Data structures & algorithms

Experience with databases (PostgreSQL, ClickHouse)

Workflow orchestration experience

Data libs & validation (NumPy, pandas, Pydantic)

Experience building web services (Django/FastAPI/Flask)

Job description

Join to apply for the Backend Engineer - Metrics Infrastructure role at Avride

We build infrastructure and tools that power metrics for autonomous vehicles and delivery robots. Our goal is to shorten the feedback loop: make it straightforward to develop, run, and use metrics at scale. Metric calculations are often complex compute graphs (multiple languages) with heavy compute; across millions of miles and simulations, they produce terabytes of results. A key part of the job is choosing storage layouts and schemas that keep inserts efficient and reads fast.

About the Role

You will design, develop, and operate the platform for metrics: data models and storage, scalable pipelines, and a developer‑friendly framework for writing, testing, and shipping metrics. The role includes close collaboration with metric authors and with metric users—development, analytics, and QA—and ensuring reliable end‑to‑end delivery of metric results.

What You’ll Do

Own the metrics platform: clear schemas, storage/layouts for efficient inserts and fast reads, simple versioning.
Build and maintain the framework for writing/running metrics (interfaces, examples, local run, CI/compat checks).
Create a test system for metrics and pipelines (unit / contract / regression on synthetic and sampled data).
Operate the compute and storage paths in production; monitor, debug, and keep the system stable and cost‑aware.
Partner with metric authors and with development/analytics/QA to plan changes and land them safely.

What You’ll Need

Strong SQL (JOINs, window functions, CTEs); ability to read plans and speed up slow queries.
Data structures & algorithms—know when O(nlogn) matters and choose the right structures.
Experience with databases: PostgreSQL, ClickHouse; understanding OLAP vs. OLTP trade‑offs.
Workflow orchestration experience (Airflow / Argo / Prefect / Dagster—any is fine).
Data libs & validation: NumPy, pandas, Pydantic (or equivalents).
Experience building web services (Django / FastAPI / Flask—stack flexible).

Nice to Have

C++ exposure (reading, small changes, or components in the compute graph).
Infrastructure for ML‑adjacent metrics/evaluation.
Parquet & object‑storage layout/partitioning; Kafka/task queues; basic observability (logs/metrics/traces).

Seniority level