Senior Distributed Systems Engineer

Censys

Senior Distributed Systems Engineer on Internet Map Connections team building scalable data-driven services. Leveraging datasets to provide real-time Internet intelligence at Censys.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $151,000 - $191,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building large-scale, real-time services and applications, with a strong focus on distributed systems, cloud technologies, and data management. Proficient in object-oriented programming with Go, and capable of collaborating effectively with cross-functional teams to deliver reliable solutions.

Highest-signal resume keywords

Distributed Systems DevelopmentObject-Oriented Programming in GoCloud Provider Experience (AWS, Azure, GCP)Message Queue Technologies (AWS Kinesis, Kafka)Database Management (BigTable, Cassandra)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed SystemsObject-Oriented ProgrammingData Ingestion PipelinesCloud ServicesMessage Queue TechnologiesDatabase ManagementScalability ConceptsFault ToleranceAI FamiliarityTestable Code Writing

Soft Skills

Strong CommunicationCollaborationCuriosityWillingness to LearnSound Judgment

Tools & Technologies

AWSAzureGCPAWS KinesisGoogle Pub/SubKafkaBigTableCloud SpannerHBaseCassandra

Industry Keywords

Real-Time ServicesData PlatformsSecurity ResearchData PipelinesCloud Infrastructure

Tech Stack

Tools & technologies

AWSAzureCassandraCloudDistributed SystemsGoGoogle Cloud PlatformHBaseKafka

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

5+ 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.
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

Benefits

Comp & perks

equity
health, dental & vision coverage
retirement with company contribution
parental leave
mental health & wellness benefits
flexible PTO
professional development stipend