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Четкая рольВысокий диапазон зарплатыПродуктовая компанияСовременный стек технологий
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Application Traffic): Designing and building systems for service-to-service communication across thousands of clusters in a multi-cloud environment with an accent on networking complexity and reliability. Focus on building control planes, service discovery mechanisms, and overload protection systems.
Location: Mountain View, California, United States
Salary: $166,000–$225,000 USD per year
Company
Databricks builds a unified data and AI infrastructure platform used by organizations worldwide to develop and scale data, analytics, and AI applications.
What you will do
Build the control plane for Databricks’ global ingress layer, including static and dynamic API gateway endpoints.
Develop abstractions that simplify secure API exposure, service onboarding, connectivity, and service discovery across clouds.
Design scalable service-to-service communication and load-balancing mechanisms across thousands of clusters.
Build intelligent rate-limiting and admission-control systems to protect critical customer-facing and internal services under high load.
Deliver reliable infrastructure for mission-critical workloads in a multi-cloud environment.
Requirements
Bachelor’s degree or higher in Computer Science or a related field.
5+ years of experience designing and building large-scale distributed systems.
Strong proficiency in one or more of Java, Scala, Go, or C++.
Experience with service-oriented architectures and large-scale distributed systems.
Familiarity with AWS, Azure, or GCP, plus Kubernetes and Docker.
Experience shipping infrastructure that supports mission-critical workloads at scale.
Nice to have
Background in service discovery, DNS, load balancing, Envoy, or related networking systems.
Culture & Benefits
Comprehensive employee benefits and perks, with details varying by region.
Inclusive hiring practices and a commitment to diversity and inclusion.
Opportunity to work on data, AI, and distributed infrastructure used by organizations worldwide.
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