Infrastructure / Site Reliability Engineer (SRE)

$200/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Location not stated
Field: STEM and Coding

Build and operate enterprise-grade production infrastructure across Kubernetes and AWS, with responsibility for reliability, observability, deployments, and incident response. This full-time engagement suits engineers with hands-on experience debugging and scaling complex distributed systems.

The work

You would build, operate, and improve highly available production infrastructure, primarily using Kubernetes and AWS. Day-to-day work includes investigating incidents, completing root-cause analysis, improving capacity and deployment reliability, and automating repetitive operational tasks with infrastructure and platform tooling.

Reliability and tooling

The role covers monitoring, alerting, logging, and tracing through Datadog or comparable observability platforms such as Prometheus or Grafana. You may also maintain Infrastructure as Code with Terraform, Pulumi, or equivalent technology, support CI/CD systems, and collaborate with software engineers on deployments and production architecture. Proficiency in at least one programming or scripting language is expected, with Python, Go, or Bash listed as examples.

What the platform screens for

Expect the screening to test whether you can describe specific production systems, their scale and failure modes, and the decisions you personally owned. Strong answers will connect technical changes to measurable improvements in SLOs, SLIs, observability, deployment reliability, infrastructure performance, capacity, or operational efficiency.

Practical details

This is a full-time engagement, and candidates must be able to make a full-time commitment. The listing does not specify whether the work is remote or asynchronous, nor does it provide a daily schedule or time-zone requirement.

Pay band: $200/hr

What they look for

Production Kubernetes operations and troubleshooting
AWS and cloud-native infrastructure
Incident response, root-cause analysis, and reliability engineering
Observability with Datadog, Prometheus, Grafana, or comparable platforms
Infrastructure as Code with Terraform, Pulumi, or equivalent technology
Programming or scripting in at least one language, such as Python, Go, or Bash

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your experience covers genuine production ownership rather than peripheral exposure, including system scale, architecture, operational constraints, and decision authority.
A strong answer: Define the architecture, workload characteristics, reliability expectations, and your exact ownership boundary. Include a concrete operational problem you solved and an observable result rather than relying on the system's brand names or size alone.
Where people lose it: Candidates lose points by describing what their team operated without separating their own changes, decisions, and on-call responsibilities from the team's broader work.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

STEM AND CODING on Sidequest

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