6 дней назад
Senior Streaming Software Engineer (Kafka)
170 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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