Distributed Systems Engineer, Data Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop large-scale, real-time services and applications utilizing extensive datasets for both internal APIs and external applications.

• Create tools, libraries, frameworks, and services that support security, research, and data platform initiatives.

• Transform prototypes into dependable internal tools, services, or platform functionalities.

• Engage in planning and technical discussions alongside engineering and product teams.

• Design and maintain data pipelines, messaging systems, databases, caching layers, as well as cloud or on-premises services.

• Work collaboratively with Machine Learning Engineers and Security Researchers to devise solutions that impact security outcomes.

• Take into account ongoing maintenance, monitoring, delivery, and the developer experience.

• Participate in video interviews with cameras enabled.

• Attend in-person onboarding at Censys HQ in Ann Arbor if offered the position.

⛳️ Requirements

• Over 5 years of software engineering experience in building distributed systems.

• Proficient in object-oriented programming; experience with Go is preferred.

• Familiarity with at least one cloud service provider, such as AWS, Azure, or GCP.

• Experience or knowledge of message queue technologies like AWS Kinesis, Google Pub/Sub, or Kafka.

• Skilled in working with databases such as BigTable, Cloud Spanner, HBase, or Cassandra.

• Knowledge of scalability, fault tolerance, and reliability principles.

• Basic understanding of AI technologies.

• Capability to produce clear, testable, and maintainable code.

• Excellent communication skills and ability to collaborate effectively with engineers and product managers.

• Commitment to responsible AI usage.

• Familiarity with gRPC or REST APIs.

• Knowledge of data serialization technologies like Protobuf or MessagePack.

• Experience in building, deploying, or maintaining containerized services using Kubernetes.

• Understanding of Internet protocols and standards.

• Bonus points for security domain knowledge.

• Candidates who receive an offer must undergo identity verification through CLEAR.

• Candidates must reside in the United States; the role is available for remote employees throughout the continental US.

🏝️ Benefits

• Equity.

• Health, dental, and vision insurance coverage.

• Retirement plan with company contributions.

• Parental leave.

• Mental health and wellness benefits.

• Flexible paid time off (PTO).

• Professional development stipend.

• Annual bonus plan for eligible non-sales positions.

• Reasonable accommodations for individuals with disabilities.

• In-person onboarding at HQ in Ann Arbor.