Remote Senior SRE: PostgreSQL & Kubernetes Expert

Far Coder; United States; On-site; USD 25,000 - 40,000; Full time

Benefits offered by this job

New Hire Home-Office Setup: USD 500

Monthly Stipend: USD 150

Job summary

Alpaca is hiring a remote Senior Site Reliability Engineer to ensure reliability, observability, and operability of our brokerage platform. The role emphasizes PostgreSQL proficiency on the trading-critical path while growing ownership of database reliability in a Kubernetes/GitOps environment.

You will operate production services, contribute to incident response and postmortems, and collaborate across cloud infrastructure, observability, and data layers.

Qualifications

• 4+ years in SRE/DevOps with production ownership.
• Hands-on with Kubernetes and GitOps.
• Strong PostgreSQL production knowledge.

Responsibilities

• Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop.
• Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them.
• Strengthen our observability across metrics, logs, traces, and alerting.
• Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike.
• Look after PostgreSQL: performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines.
• Mentor engineers on reliability and database fundamentals through code review, design review, and pairing.

Skills

PostgreSQL

SQL

Kubernetes

Kafka

Python

Go

Tools

RabbitMQ

MEAN

REST

Linux

DevOps

Compliance

Job description

Alpaca is hiring a remote Senior Site Reliability Engineer to ensure reliability, observability, and operability of our brokerage platform. The role emphasizes PostgreSQL proficiency on the trading-critical path while growing ownership of database reliability in a Kubernetes/GitOps environment.

You will operate production services, contribute to incident response and postmortems, and collaborate across cloud infrastructure, observability, and data layers.