Staff Software Engineer - Observability

Навыки

• AWS
• Azure
• ClickHouse
• Многопоточность
• C++
• Распределённые системы
• Flink

О компании и продукте

• Snowflake’s Data Cloud processes exabytes of data across multi-cloud global environments every day. Delivering seamless reliability and real-time visibility to thousands of global enterprise customers requires an Observability Platform built on hyper-scalable backend distributed systems.
• We are seeking a Staff / Lead Software Engineer to architect, design, and scale our External Observability Platform. In this role, you will lead the technical strategy for customer-facing telemetry, system metrics, audit logs, distributed tracing, and actionable operational insights. You will build high-throughput, low-latency infrastructure capable of ingesting, processing, and serving petabytes of telemetry data with strict SLA guarantees.
• You will join a team of world-class engineers in our Bellevue, WA office. To be successful, you must be deeply technical, capable of leading complex cross-functional architecture initiatives, and skilled at mentoring senior engineers while holding your own with the brightest technical minds in the industry.

Задачи

• Architect & Scale Distributed Infrastructure: Lead the technical vision, design, and execution of Snowflake’s External Observability platform capable of handling trillions of events per day across multi-cloud deployments (AWS, Azure, GCP)
• Define Observability Standards: Standardize telemetry generation (metrics, logs, traces, and events) across all Snowflake application engineering teams, ensuring consistent schema, zero-data-loss ingestion, and optimized storage access
• Build High-Throughput Engines: Write scalable, reliable, and testable backend services to process time-series data, high-cardinality metrics, and distributed traces at massive scale
• Automate Infrastructure Lifecycle: Practice infrastructure-as-code (IaC) using tools like Terraform to deliver self-healing, automated telemetry pipelines and dynamic monitoring topology
• Drive Platform Adoption & Diplomacy: Collaborate closely with Application Engineering, Security, and Customer Support teams to make systems measurable, translate telemetry into actionable customer-facing insights, and resolve cross-organizational technical dependencies
• Technical Leadership & Mentorship: Drive engineering excellence through rigorous design reviews, technical roadmapping, performance tuning, and mentoring engineers across the broader organization
• Incident Escalation & Root Cause Analysis: Serve as an expert troubleshooter for critical, complex system failure modes across large distributed clusters, conducting deep-dive post-mortems and building automation to eliminate repeat incidents

Требования

• 10+ years of professional experience building infrastructure and backend distributed systems at scale using languages such as Go, C++, Java, or Rust
• Proven track record of architecting, deploying, and maintaining hyper-scale distributed platforms in public cloud environments (AWS, Azure, or GCP)
• Deep theoretical and practical CS fundamentals (data structures, algorithms, concurrency patterns, storage engines, distributed consensus, networking protocols)
• Strong experience with infrastructure-as-code (IaC) tools such as Terraform, or Pulumi
• Hands-on expertise with time-series databases, high-cardinality metric stores, distributed tracing frameworks (OpenTelemetry, Jaeger), or log streaming systems (Kafka, Flink, ClickHouse, Prometheus/Thanos)
• Superior communication, collaboration, and diplomatic skills—ability to align cross-functional teams around architectural standards and lead technical decisions with empathy and clarity
• Customer-Facing Observability: Experience building external or customer-exposed observability tools, APIs, and analytics dashboards with strict latency and access-control constraints
• Multi-Cloud Expertise: Prior experience running cloud-agnostic platform infrastructure across AWS, Azure, and GCP simultaneously

Будет плюсом

• Massive Scale Experience: Prior experience in high-performance computing (HPC) or handling global installations processing petabytes of telemetry per day
• Network & Systems Deep Dive: Deep operational understanding of high-performance Linux kernel tuning, ebpf, eBPF-based profiling, or low-level network optimization
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
• Snowflake employees must abide by the company’s data security plan as an essential part of their duties
• It is every employee's duty to keep customer information secure and confidential
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Условия

• Location: Bellevue, WA (Hybrid: 3 days/week in-office)

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