Senior Site Reliability Engineer, Infra Ops

Circle

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$152,500–$205,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $179k
$135k most similar roles pay here $235k

This role pays less than 57% of similar roles. Most pay $147,200–$217,500 — the shaded band above. At the midpoint, this role pays about $179k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Circle

Circle is a global financial technology firm and the principal operator of USD Coin (USDC), a leading stablecoin, providing cross-border payments and digital currency infrastructure for businesses. Industry: Financial Technology & Digital Currency

Circle currently has 16 open roles on FindRole.

Listed pay typically runs $195,000–$257,500 across 15 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Site Reliability Engineer, Infra Ops

As a Senior Site Reliability Engineer - Infra Ops on the platform team, you will design, build, and operate secure, scalable infrastructure for critical digital assets, AI, and application workloads. You will manage Kubernetes platforms across hybrid and public-cloud environments while utilizing Terraform to create reusable modules and automated infrastructure as code. Your daily responsibilities include developing backend services and internal tools using Go, Python, or JavaScript/TypeScript to eliminate manual work. You will partner with product teams to translate requirements into resilient designs, improve CI/CD pipelines, and establish observability practices involving metrics, logs, and traces. The role focuses on solving complex distributed-systems problems to enhance reliability, performance, and security for high-availability systems. You will also manage incident response, perform root-cause analysis, and implement SLIs and SLOs within a regulated environment.

What does a Site Reliability Engineer earn?

Median $187000 from 131 postings across 37 companies.

See salary data

What you'll do

  • Design, build, and operate secure, scalable Kubernetes platforms across hybrid and public-cloud environments.
  • Create reusable infrastructure as code using Terraform to ensure repeatable and governed changes.
  • Develop backend services and automation tools in Go, Python, or TypeScript to eliminate manual work.
  • Translate workload requirements into technical designs for reliability, performance, security, and cost-effectiveness.
  • Improve the production lifecycle through CI/CD pipelines, deployment automation, and progressive delivery strategies.
  • Define and evolve observability practices including metrics, logs, traces, and alerting dashboards.
  • Manage incident response, perform root-cause analysis, and lead blameless postmortems to drive corrective actions.
  • Establish reliability targets using SLIs, SLOs, error budgets, and disaster-recovery testing.

What we're looking for

  • 5+ years of experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, or a related software engineering role supporting production systems.
  • Deep, hands-on expertise in designing, operating, securing, and troubleshooting production Kubernetes clusters and containerized workloads at scale.
  • Strong Terraform experience including authoring reusable modules and delivering infrastructure changes through automated workflows.
  • Production software development experience in Go, Python, or JavaScript/TypeScript to build backend services and automation tools.
  • Experience with cloud infrastructure and core networking concepts such as IAM, DNS, load balancing, and secure connectivity.
  • Strong observability and troubleshooting skills using metrics, logs, traces, and alerting to diagnose complex systems.
  • Experience defining and operating against SLIs, SLOs, error budgets, incident management, and disaster recovery practices.
  • Experience applying AI-assisted tooling to engineering or operations workflows (preferred).

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