Circle
Circle
Circle ir finanšu tehnoloģiju uzņēmums, kas veido uz blokķēdes balstītu infrastruktūru ātrākiem un drošākiem digitālajiem darījumiem. Tā vadošais produkts USDC ir pilnībā rezervēm nodrošināta stabilā kriptovalūta, kas izstrādāta tā, lai to varētu izpirkt attiecībā viens pret vienu pret ASV dolāriem. Tā atbalsta pārrobežu maksājumus, kriptovalūtu kapitāla tirgus un plašāku piekļuvi digitālajiem dolāriem. Circle nodrošina arī atvērtu izstrādātāju platformu ar tādiem rīkiem kā programmējami maki un viedie līgumi, kas ļauj uzņēmumiem pievienot blokķēdes iespējas savām lietotnēm. Uzņēmums uzsver pārredzamību, regulāri sniedzot pārskatus par savām rezervēm, un apvieno komandas, kas strādā finanšu tehnoloģiju, kriptovalūtu un Web3 jomā.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • Flexible work environment
  • Remote-first work arrangement

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