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3 дня назад

Site Reliability Engineer III (AI/FinOps)

159 500 - 176 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Site Reliability Engineer III (AI/FinOps): Building telemetry, profiling, CI/CD guardrails, and automated rollout systems that optimize GCP and AI/SaaS costs while preserving application performance and reliability with an accent on GKE, BigQuery, OpenTelemetry, and SLO-aware FinOps. Focus on validating AI-generated optimization playbooks, designing canary analysis and rollback mechanisms, and solving latency, memory, reliability, and cloud-spending regressions.

Location: Boston, Massachusetts, United States

Annual base pay: USD 159,500–176,000

Company

hirify.global is an e-commerce technology company operating a large online destination for home products.

What you will do

  • Map application code paths, microservices, middleware, databases, and infrastructure to cloud costs and service-level objectives.
  • Use APM, continuous profiling, distributed tracing, and OpenTelemetry to measure latency, throughput, error rates, and optimization impact.
  • Validate AI-generated pull requests and optimization playbooks from Devin, Cursor, and custom agents for performance, reliability, and infrastructure safety.
  • Build SLO-aware CI/CD guardrails, Terraform and Helm linting rules, canary analysis, staged rollouts, and automated rollback triggers.
  • Investigate performance regressions and cloud-spending anomalies through root-cause analysis.
  • Measure cost-efficiency gains, developer adoption, GCP and SaaS savings, and SLO stability.

Requirements

  • 5+ years of experience in SRE, production engineering, systems or performance engineering, or software engineering in scaled production environments.
  • Deep hands-on experience with Google Cloud Platform, including GKE, Kubernetes, BigQuery, and cloud resource tuning.
  • Proficiency with Terraform, Helm, and automated deployment pipelines such as GitHub Actions, Buildkite, or Jenkins.
  • Experience with APM, continuous profiling, distributed tracing, OpenTelemetry, Datadog, Dynatrace, or Google Cloud Operations, plus SLO and SLI definition.
  • Strong Python, Go, or Bash scripting skills for operational automation, telemetry parsing, and API integrations.
  • Practical experience using AI coding assistants and understanding of cloud cost drivers, resource allocation, and availability-versus-cost trade-offs.

Culture & Benefits

  • Work with FinOps and Technology Cost Value Management systems across a multi-million-dollar GCP and AI/SaaS environment.
  • Access a comprehensive package of medical, financial, and additional employee benefits.
  • Equity, bonuses, commissions, or other compensation may be included depending on the position offered.
  • hirify.global supports equal opportunity and provides reasonable accommodations during the application and interview process.

Hiring process

  • Live interview evaluation covers system architecture and dependency mapping, automation and coding, AI-agentic code review, and FinOps trade-off analysis.
  • Evaluation includes Python or Go scripting, distributed tracing, SLO design, canary analysis, rollback strategies, and identification of unsafe AI-generated changes.

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