Software Engineer (Backend, Distributed Systems)
Builds scalable backend services, APIs, and tooling for distributed systems processing massive internet datasets. Requires 3+ years experience with Go, cloud providers, message queues, and databases.
What You’ll Do
- Help build large scale, real-time services and applications which leverage our massive datasets to power internal APIs and external applications.
- Build tooling, libraries, frameworks, and services that support security, research and data platform initiatives.
- Productionize prototypes into reliable internal tools, services, or platform capabilities.
- Participate in planning and technical discussions with engineering and product teams to help build the right solutions.
- Develop and maintain systems such as data pipelines, messaging systems, databases, caching layers, and services that run in the cloud or on-prem.
- Work with Machine Learning Engineers and Security Researchers to realize solutions that affect security outcomes.
Skills You Have
- 3+ years of software engineering experience building distributed systems (i.e. data ingestion pipelines, databases, services).
- Experience with object-oriented programming - we use Go.
- Experience with at least one cloud provider, like: AWS, Azure, or GCP.
- Experience or familiarity with message queue technologies, like: AWS Kinesis, Google Pub/Sub, Kafka, or other.
- Experience working with databases, like: BigTable, Cloud Spanner, HBase, Cassandra, or other.
- Understanding of core distributed systems concepts such as scalability, fault tolerance, and reliability.
- Familiarity with using AI.
- Ability to write understandable, testable code with an eye towards maintainability.
- Strong communication skills and the ability to work effectively with other engineers and product managers.
Things that make you stand out
- Familiarity with gRPC or REST.
- Familiarity with data serialization technologies, like: Protobuf, MessagePack, etc.
- Experience building, deploying, or maintaining containerized services in Kubernetes.
- An understanding of how the Internet works; how machines and services communicate using defined protocols / standards.
- Any Security Domain knowledge is a bonus
Compensation
For candidates located in high cost of living locations (Seattle, San Francisco Bay Area, or New York City Metro), the salary range for this position is $137,000 - $169,000 + bonus eligibility and equity.
For candidates located in any other US location, the salary range for this position is $120,000 - $157,000 + bonus eligibility and equity.
In addition to our great compensation package, our benefits are effective on day one and include but are not limited to: 401k match, health, vision, dental, and more!
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