Senior Distributed Systems Engineer
Puno radno vreme
Censys
Istaknuti detalji posla
Grad
Remote position within the United States, with potential in-person onboarding at the Ann Arbor headquarters.
Uslovi rada
Remote
Benefiti
Equity, health, dental, and vision coverage., Retirement plan with company contribution, parental leave, mental health and wellness benefits, flexible PTO, and a professional development stipend., Eligible non-sales employees may participate in an annual bonus plan., Reasonable accommodations are available for individuals with disabilities, and Censys is an equal opportunity employer.
Ključne odgovornosti
- Build large-scale, real-time services and applications using massive datasets to power internal APIs and external applications.
- 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 planning and technical discussions with engineering and product teams.
- Collaborate with Machine Learning Engineers and Security Researchers on solutions affecting security outcomes.
- Consider ongoing maintenance, monitoring, delivery, developer experience, and long-term extensibility.
Zahtevi
Potrebne kvalifikacije
Tehničke veštine
Experience with object-oriented programming and Go.
Experience with at least one cloud provider, including AWS, Azure, or GCP.
Experience with message queue technologies such as AWS Kinesis, Google Pub/Sub, or Kafka.
Experience with databases such as Bigtable, Cloud Spanner, HBase, or Cassandra.
Understanding of distributed systems concepts including scalability, fault tolerance, and reliability.
Ability to write understandable, testable, maintainable code.
Strong communication skills and ability to work effectively with engineers and product managers.
Familiarity with AI and responsible use of AI to improve efficiency and impact.
Iskustvo
At least 5 years of software engineering experience building distributed systems such as data ingestion pipelines, databases, and services.
Meke veštine
Strong communication skills and ability to work effectively with engineers and product managers.
Poželjne kvalifikacije
Dodatne veštine
Familiarity with gRPC, REST, data serialization technologies such as Protobuf or MessagePack, and containerized services in Kubernetes.
Originalni opis
Responsibilities
- Build large-scale, real-time services and applications using massive datasets to power internal APIs and external applications.
- 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 planning and technical discussions with engineering and product teams.
- Collaborate with Machine Learning Engineers and Security Researchers on solutions affecting security outcomes.
- Consider ongoing maintenance, monitoring, delivery, developer experience, and long-term extensibility.
Requirements
- At least 5 years of software engineering experience building distributed systems such as data ingestion pipelines, databases, and services.
- Experience with object-oriented programming and Go.
- Experience with at least one cloud provider, including AWS, Azure, or GCP.
- Experience with message queue technologies such as AWS Kinesis, Google Pub/Sub, or Kafka.
- Experience with databases such as Bigtable, Cloud Spanner, HBase, or Cassandra.
- Understanding of distributed systems concepts including scalability, fault tolerance, and reliability.
- Ability to write understandable, testable, maintainable code.
- Strong communication skills and ability to work effectively with engineers and product managers.
- Familiarity with AI and responsible use of AI to improve efficiency and impact.
- Familiarity with gRPC, REST, data serialization technologies such as Protobuf or MessagePack, and containerized services in Kubernetes is preferred.
- Understanding of Internet communication protocols and standards and security domain knowledge are advantageous.
Benefits
- Remote position within the United States, with potential in-person onboarding at the Ann Arbor headquarters.
- Equity, health, dental, and vision coverage.
- Retirement plan with company contribution, parental leave, mental health and wellness benefits, flexible PTO, and a professional development stipend.
- Eligible non-sales employees may participate in an annual bonus plan.
- Reasonable accommodations are available for individuals with disabilities, and Censys is an equal opportunity employer.
Oglas je objavljen pre mesec danaRok za prijavu traje do: 25. новембар 2026.
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