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Описание вакансии
Текст:
TL;DR
Software Engineer (Observability) (Python/Rust/Go): Building high-throughput telemetry ingest and storage pipelines, instrumentation libraries, and diagnostic tools for multi-cloud AI infrastructure with an accent on metrics, logs, traces, and operational reliability. Focus on scaling observability platforms, improving alerting and SLO infrastructure, reducing telemetry costs, and applying AI to root-cause analysis and anomaly detection.
Salary: $165,000–$330,000 per year, plus equity
Company
Baseten provides inference infrastructure, applied AI research, and developer tooling that help AI companies deploy models in production.
What you will do
- Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across multi-cloud infrastructure.
- Own and evolve observability platforms through migrations and architectural improvements that increase reliability, reduce costs, and support growth.
- Build instrumentation libraries, SDKs, and integrations for high-quality service telemetry.
- Develop alerting and SLO infrastructure that helps teams monitor reliability targets with minimal noise.
- Partner with Inference, Product, and Infrastructure teams to improve operational visibility and incident response.
Requirements
- Deep experience with at least one observability area: metrics, logging, tracing, or error analytics.
- Understanding of high-throughput data pipelines, columnar storage engines, and telemetry ingestion and querying at scale.
- Experience with Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar observability systems.
- Strong proficiency in at least one of Python, Rust, or Go.
- Excellent communication skills and the ability to work independently on ambiguous, high-impact infrastructure challenges.
- Interest in applying AI or LLMs to root-cause analysis, anomaly detection, or intelligent alerting.
Culture & Benefits
- Competitive compensation with meaningful equity.
- Medical, dental, and vision insurance fully covered for employees and dependents.
- Flexible PTO and a company-wide Winter Break.
- Paid parental leave and a fertility and family-building stipend.
- Company-facilitated 401(k).
- Exposure to a range of ML startups and related learning and networking opportunities.
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