Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Strong fit if you enjoy building durable distributed backends for security/internet data rather than pure product UI. Thin public review data means culture fit must come from your own research and interviews; technical alignment with Censys’s scanning-and-intelligence mission is the clearest signal in DATA.
As a Distributed Systems Engineer at Censys, expect work on high-throughput systems that collect, store, and serve internet-scan and intelligence data: reliability of scanners and pipelines, partitioning and backpressure, APIs over large datasets, and operational work so the “internet map” stays fresh for security customers.
Pair those with practice in concurrency, distributed storage, observability, and large-scale data processing relevant to scan/index workloads.
It provides internet intelligence from perpetual scanning and related data products for security use cases.
Yes—the listing is Remote (US).
Distributed systems fundamentals plus free CS/dev paths such as freeCodeCamp, Saylor CS, CS50, and Microsoft Learn (costs as listed: free / free to learn).
Website: censys.io
Censys is a security service and company that provides internet intelligence based on perpetual scanning of the internet. As of 2023, it had 350,000 users. It was first created in 2015 at the University of Michigan.
Public cache only — not an employee review.
Censys is hiring a remote (US) Distributed Systems Engineer to design and operate the large-scale services, APIs, and data foundations that power real-time Internet intelligence. If you enjoy turning research ideas into dependable production systems, this is a chance to shape how the world understands the Internet. About the Role As a Distributed Systems Engineer at Censys, you'll build scalable services, frameworks, and internal tooling that process enormous volumes of scanning data and keep it highly available for customers and teams across the company. Censys runs distributed infrastructure for Internet-wide scanning, and you'll help expand our data platform so that complex relationships and richer context become explainable. We work iteratively while staying focused on the larger mission, and we're looking for a curious, collaborative engineer eager to grow. Key Responsibilities Develop real-time, large-scale services and applications that draw on our massive datasets to drive internal APIs and customer-facing products. Create libraries, frameworks, and tooling that advance security, research, and data platform efforts. Transform prototypes into reliable internal tools, services, and platform capabilities. Contribute to planning and technical discussions alongside engineering and product partners. Build and maintain data pipelines, messaging systems, databases, caching layers, and cloud or on-prem services. Collaborate with Machine Learning Engineers and Security Researchers to deliver measurable security outcomes. Qualifications 3+ years of software engineering experience building distributed systems such as ingestion pipelines, databases, and services. Proficiency with object-oriented programming; our stack uses Go. Hands-on experience with a major cloud provider (AWS, Azure, or GCP). Familiarity with message queue technologies like AWS Kinesis, Google Pub/Sub, or Kafka. Experience with databases such as BigTable, Cloud Spanner, HBase, or Cassandra. Solid grasp of scalability, fault tolerance, and reliability principles. A habit of writing clear, testable, maintainable code, plus strong communication skills. Openness to applying AI responsibly and with sound judgment to amplify your impact. Bonus points for gRPC or REST, serialization formats like Protobuf or MessagePack, containerized services on Kubernetes, a working knowledge of Internet protocols, and any security domain expertise. About Censys Censys aims to be the single place to understand everything on the Internet, delivering accurate, up-to-date intelligence…
Generated for personal interview prep · 2026-07-18 UTC · getajob.ai