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Описание вакансии
Текст:
TL;DR
Senior Software Engineer (ManagedDB): Building and scaling high-throughput, low-latency database systems and cloud-agnostic infrastructure for Snowflake's multi-cloud service with an accent on distributed systems, database reliability, and automation. Focus on architecting database products across AWS, Azure, and GCP, ensuring high availability and security, and leading complex production engineering initiatives.
Location: Hybrid in Menlo Park, California, United States. US citizenship or lawful permanent residence (Green Card) is required.
Salary: $200,000–$287,500 per year.
Company
Snowflake provides a global cloud data platform and operates large-scale infrastructure across multiple public cloud providers.
What you will do
- Architect, design, and implement database products for internal platform needs.
- Build cloud-agnostic abstractions and infrastructure across AWS, Azure, and GCP.
- Lead complex cross-functional engineering initiatives from inception through production.
- Mentor junior and mid-level engineers and establish software engineering best practices.
- Harden database infrastructure for high availability, security, durability, and SLA compliance.
- Participate in on-call rotations, investigate production incidents, and lead blameless post-mortems.
Requirements
- US citizenship or lawful permanent residence (Green Card) required.
- BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field, or equivalent professional experience.
- 7–12 years of experience designing, building, operating, and scaling large-scale backend distributed systems.
- Experience with databases such as PostgreSQL and Redis and large-scale distributed systems.
- Strong programming experience with Go, Java, C++, or Rust.
- Experience with AWS, GCP, or Azure infrastructure, cloud networking, and infrastructure automation using Terraform, Kubernetes, Ansible, or CloudFormation.
Culture & Benefits
- Collaborative, growth-oriented, and blameless engineering culture.
- Work on infrastructure supporting billions of queries and hundreds of millions of data workloads each day.
- Opportunity to solve high-scale platform engineering challenges across dozens of regions and major cloud providers.
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