2 дня назад
Senior Software Engineer (Distributed Systems)
190 100 - 285 100$
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Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Distributed Systems) (Observability Platform): Building and operating a multi-petabyte observability platform for traces, metrics, and logs with an accent on distributed tracing, low-latency infrastructure, and high-throughput data pipelines. Focus on optimizing ingestion, storage, and query performance across ClickHouse, Grafana Tempo, Kafka, Spark/Flink, Iceberg, and S3 while designing highly available and fault-tolerant systems.
Location: Pleasanton, California, USA; hybrid with at least 50% of each quarter spent in the office or in the field
Annual base salary: $190,100–$285,100 USD for the primary location; $160,100–$285,100 USD for additional US locations. The role may also include bonus compensation and annual refresh stock grants.
Company
is a Fortune 500 company and AI platform for managing people, money, and agents.
What you will do
- Design and deliver core components of a distributed tracing platform built on ClickHouse and/or Grafana Tempo.
- Build and operate multi-petabyte observability services and infrastructure for traces, metrics, and logs.
- Develop high-throughput data pipelines using Kafka, Spark or Flink, Iceberg, and S3.
- Optimize low-latency ingestion, storage, and sub-second query performance.
- Drive high availability, fault tolerance, and operational reliability across distributed systems.
- Mentor developers and contribute as a domain expert in tracing ingestion, storage, and query performance.
Requirements
- 8+ years of software development engineering experience, including 4+ years designing, building, and operating complex distributed systems.
- Production experience with at least two of Java, Go, Scala, and Python.
- Experience with distributed architectures, high availability, fault tolerance, data partitioning, eventual consistency, sharding, replication, and query optimization.
- Experience with Kafka, Spark, Flink, ClickHouse, or comparable large-scale data processing technologies.
- Experience designing scalable APIs using gRPC, REST, and OpenTelemetry OTLP, plus distributed load testing, integration testing, and CI/CD automation.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; a master’s degree is strongly preferred.
Nice to have
- Experience with observability pipelines or data lake platforms.
- Knowledge of mTLS, multi-tenant authorization, and data encryption for distributed environments.
- Experience writing runbooks, system design specifications, and API documentation.
Culture & Benefits
- Flex Work combines in-person collaboration with remote flexibility.
- Time may be spent in the office or in the field with customers, prospects, and partners.
- Potential eligibility for the Bonus Plan or role-specific bonus and annual refresh stock grants.
- provides reasonable accommodations during the application process.
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