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6 дней назад

Senior Streaming Software Engineer (Kafka)

170 000 - 205 000$
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
Senior Streaming Software Engineer (Kafka/Observability): Designing and operating high-throughput streaming systems and pipelines for telemetry generated across Crusoe’s GPU cloud and global data centers with an accent on distributed systems, real-time processing, and observability. Focus on scaling high-cardinality workloads, ensuring reliability through instrumentation and alerting, and integrating streaming data into SRE and platform workflows.

Location: San Francisco, CA, United States; on-site

Salary: $170,000–$205,000 per year plus bonus; Restricted Stock Units included.

Company

hirify.global is an AI infrastructure company building and operating vertically integrated energy, data center, cloud, and computing infrastructure for large-scale AI workloads.

What you will do

  • Design, build, and maintain streaming services and pipelines for logs, metrics, traces, and operational events.
  • Implement real-time data processing with Kafka, Kinesis, Pub/Sub, Flink, or similar platforms.
  • Scale telemetry ingestion for high-throughput, high-cardinality, and bursty infrastructure workloads.
  • Improve reliability and observability through instrumentation, dashboards, alerting, automation, CI/CD, and infrastructure as code.
  • Collaborate with SRE and platform teams to integrate streaming data into internal observability tools and operational workflows.
  • Participate in on-call rotations, incident response, post-incident reviews, and technical design discussions.

Requirements

  • Strong experience building and operating distributed systems, particularly streaming or real-time data platforms.
  • Hands-on experience with Kafka or similar distributed streaming technologies.
  • Proficiency in Java, Scala, Go, or Python.
  • Experience operating services in cloud or large-scale infrastructure environments.
  • Solid understanding of metrics, logging, tracing, alerting, and production debugging across distributed systems.
  • Ability to own features end-to-end and collaborate with engineering teams.

Nice to have

  • Experience building observability platforms at cloud or data center scale.
  • Familiarity with stream processing frameworks, delivery semantics, schema management, data contracts, or serialization formats.
  • Experience with Kubernetes, containerized infrastructure, bare-metal infrastructure, or large-scale data centers.
  • Interest in mentoring junior engineers.

Culture & Benefits

  • Restricted Stock Units in a fast-growing, well-funded technology company.
  • Health, vision, and dental insurance options, including HDHP and PPO plans, with dependent coverage.
  • Employer HSA contributions, paid parental leave, life insurance, disability coverage, and a 401(k) with a 100% match up to 4% of salary.
  • Paid time off, holidays, tuition reimbursement, cell phone reimbursement, Calm subscription, and MetLife Legal.
  • Company-paid commuter benefit of $300 per month.

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