Staff Software Engineer, Metrics and Logging

Навыки

• C++
• Data Lake
• Распределённые системы
• Java
• Мониторинг и observability
• Python
• Retention и отток

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
• The Logging Platform team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.

Задачи

• Build the future of logging at Databricks by designing and scaling our next-generation logging platform that processes petabytes of logs daily
• Develop and optimize log delivery pipelines to support low-latency, high-throughput log ingestion and querying, ensuring seamless observability across all Databricks services
• Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs
• Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats and improving the developer experience
• Improve reliability and cost-efficiency by optimizing log retention, indexing, and query performance to reduce operational overhead
• Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community

Требования

• BS (or higher) in Computer Science, or a related field
• 7+ years of production-level experience in one of: Scala, Rust, Go, Python, Java, C++, or similar languages
• Deep experience in software development, in large-scale distributed systems
• Experience driving complex projects involving multiple teams and stakeholders
• Familiarity with log collection, health monitoring, and observability tools

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.