Senior Software Engineer - Application Traffic team
Senior · Mountain View, США · Английский B2
Не указано: формат работы
Навыки
API (интеграции)
AWS
Azure
C++
Data Lake
Распределённые системы
DNS / DHCP
Ещё 7
Docker
Google Cloud
HAProxy / Traefik / Envoy
HR-процессы
Java
Kubernetes
Scala
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 advancing AI research to powering next-generation applications. We do this by building and operating the world’s best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it’s scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we’re only getting started.
As a Senior Software Engineer on the Application Traffic team , you will design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default.
Задачи
You’ll work across three key areas that define Databricks’ networking stack
Ingress Control Plane : Build the control plane for Databricks’ global ingress layer
Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds
Service-to-Service Communication : Design scalable mechanisms for service discovery and load balancing across thousands of clusters
Provide networking abstractions so product teams don’t need to worry about underlying connectivity details
Overload Protection : Build intelligent rate limiting and admission control systems to protect critical services under high load
Ensure reliability and predictable performance for both customer-facing and internal workloads
Требования
BS (or higher) in Computer Science or related field
5+ years of experience designing and building large-scale distributed systems
Strong proficiency in one or more languages such as Java, Scala, Go, or C++
Experience with service-oriented architectures and large scale distributed systems
Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
Track record of shipping infrastructure that supports mission-critical workloads at scale
Preferred: background in service discovery, DNS, load balancing, Envoy, or related networking systems
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
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Появилась в Вакандии30 дней
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Проверяли на источникеВидели 30 дней назад
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ГрейдSeniorвычитано из текста вакансии
Формат работыне указан
ГеографияMountain View, СШАвычитано из текста вакансии
Зарплата≈ 17 667 USD в месяцнаша оценка, в вакансии не названа
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greenhouseОсновная публикация · 2025-09-23
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50 активных вакансий · вилка работодателя указана в 21%