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Circle
Circle
501 – 1,000 Employees
H1B Visa SponsorCryptoFintechWeb 3
Circle is a financial technology company building blockchain-based infrastructure for faster, more secure digital transactions. Its flagship product, USDC, is a fully reserved stablecoin designed to remain redeemable one-to-one for U.S. dollars, supporting cross-border payments, crypto capital markets, and broader access to digital dollars. Circle also provides an open developer platform with tools such as programmable wallets and smart contracts, enabling businesses to add blockchain capabilities to their applications. The company emphasizes transparency through regular reporting on its reserve holdings and brings together teams working across fintech, crypto, and Web3.
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Senior Site Reliability Engineer, Infrastructure Operations — Circle, California Remote

Senior Site Reliability Engineer responsible for secure Kubernetes and Terraform infrastructure supporting Circle’s digital-asset financial platform. The role focuses on reliability, observability, automation, and resilient production operations.

USUnited StatesCACalifornia
$152,500 – $205,000 / year
RemoteFull-timeSeniorEnglish RequiredDevOps Engineer
CloudDistributed SystemsDNSGoJavaScriptKubernetesPythonTerraformTypeScript

Description

  • Design, build, and run secure Kubernetes platforms for highly available, scalable production services across hybrid and public-cloud environments.
  • Create governed infrastructure-as-code solutions with Terraform, reusable modules, and safe, reviewable delivery workflows.
  • Develop backend services, internal tools, and operational automation using Go, Python, or JavaScript/TypeScript.
  • Work with engineering and product teams to turn workload needs into practical solutions for reliability, performance, capacity, security, and cost.
  • Strengthen the production lifecycle through CI/CD, deployment automation, progressive delivery, and defined operational ownership.
  • Establish and advance observability across metrics, logs, traces, alerts, and dashboards.
  • Take part in on-call rotations, lead incident response, investigate root causes, and drive blameless postmortems and remediation.
  • Set reliability objectives through SLIs, SLOs, error budgets, capacity planning, disaster-recovery exercises, and resilience improvements.
  • Integrate security and compliance into day-to-day platform operations.
  • Use AI-assisted and data-informed operational methods to improve signal detection, reduce alert noise, speed root-cause analysis, and uncover automation opportunities.
  • Support engineering quality through code reviews, documentation, knowledge sharing, and mentorship.
  • Mentor colleagues and contribute to the team’s growth.

Requirements

  • At least five years of experience in Site Reliability Engineering, DevOps, infrastructure engineering, or a closely related software engineering role supporting production systems.
  • Advanced, hands-on Kubernetes experience designing, operating, securing, and troubleshooting production clusters and containerized workloads at scale.
  • Strong Terraform background, including reusable module development, state and environment management, and automated infrastructure delivery through reviewable workflows.
  • Production software development experience with Go, Python, or JavaScript/TypeScript.
  • A record of improving the reliability, performance, scalability, or cost efficiency of distributed production systems.
  • Experience with cloud infrastructure and core networking, including IAM, DNS, load balancing, routing, service networking, and secure connectivity.
  • Strong observability and troubleshooting capabilities using metrics, logs, traces, alerts, and incident data.
  • Experience establishing and operating with SLIs, SLOs, error budgets, incident-management procedures, postmortems, and disaster-recovery practices.
  • Familiarity with CI/CD, GitOps or deployment automation, and canary or blue-green release strategies.
  • A security-focused approach to infrastructure, with experience working alongside Security and engineering teams in regulated or high-availability environments.
  • Clear communication, strong ownership, and sound judgment when balancing delivery speed, risk, and operational excellence.
  • Experience using AI-assisted tools in engineering or operations workflows is advantageous.

Benefits

  • Flexible work environment
  • Remote-first work arrangement

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