2 дня назад
Distributed Systems Engineer (Data Platform)
151 000 - 191 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Distributed Systems Engineer (Data Platform) (Go/distributed systems): Building highly available, scalable real-time services and data-driven platform capabilities for Internet-wide scanning, DNS resolution, certificate ingestion, and asset relationship mapping with an accent on distributed infrastructure, massive datasets, and reliable production systems. Focus on designing data pipelines, messaging systems, databases, caching layers, and cloud services, while collaborating with Machine Learning Engineers and Security Researchers to deliver security-focused outcomes.
Location: Remote within the United States; open to remote employees across the continental US. The role may include in-person onboarding at the Ann Arbor headquarters.
Salary: $151,000–$191,000 USD annually for most locations; $174,000–$206,000 USD annually in San Francisco Bay, New York City, and Seattle, plus bonus eligibility and equity.
Company
develops Internet intelligence and threat insight products by maintaining a comprehensive, real-time map of the Internet.
What you will do
- Build large-scale, real-time services and applications that use massive datasets to power internal APIs and external products.
- Develop tooling, libraries, frameworks, and services supporting security, research, and data platform initiatives.
- Productionize prototypes into reliable internal tools, services, and platform capabilities.
- Develop and maintain data pipelines, messaging systems, databases, caching layers, and cloud or on-premises services.
- Participate in technical planning with engineering and product teams.
- Collaborate with Machine Learning Engineers and Security Researchers on solutions that improve security outcomes.
Requirements
- 5+ years of software engineering experience building distributed systems such as data ingestion pipelines, databases, or services.
- Object-oriented programming experience with Go.
- Experience with at least one cloud provider, such as AWS, Azure, or GCP.
- Experience with message queues such as AWS Kinesis, Google Pub/Sub, or Kafka, and databases such as BigTable, Cloud Spanner, HBase, or Cassandra.
- Understanding of scalability, fault tolerance, reliability, and maintainable, testable code.
- Strong communication skills and the ability to collaborate with engineers and product managers; willingness to use AI responsibly to improve work.
Nice to have
- Familiarity with gRPC, REST, Protobuf, or MessagePack.
- Experience deploying or maintaining containerized services in Kubernetes.
- Understanding of Internet protocols and standards.
- Security domain knowledge.
Culture & Benefits
- Remote work across the continental US with flexible PTO.
- Equity, health, dental, and vision coverage.
- Retirement plan with company contribution and parental leave.
- Mental health and wellness benefits.
- Professional development stipend and annual bonus eligibility for non-sales roles.
- Camera-on video interviews and identity verification through CLEAR for offer recipients.
Hiring process
- Technical skills and relevant experience are assessed during the interview process.
- Video interviews require candidates to keep their cameras on.
- Offer recipients complete identity verification through CLEAR.
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