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About Apache Pulsar

Apache Pulsar is a top-level project of the Apache Software Foundation. It is a next-generation cloud-native distributed message flow platform that integrates messaging, storage, and lightweight functional computing. Multi-machine room and cross-region data replication, with streaming data storage features such as strong consistency, high throughput, low latency, and high scalability.
GitHub address: http://github.com/apache/pulsar/

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The new issue of "Pulsar Job Square" in March 2022 is here! Recently, many companies have launched Apache Pulsar-related job recruitment requirements, which are hereby recommended. I hope this issue can help you (the following job recommendations are in no particular order). We have established a recruitment column in the [Pulsar local community warehouse](), and companies/organizations with Pulsar-related recruitment needs are welcome to submit them by themselves.

StreamNative

Platform Engineer (Serverless)

Work location: anywhere, we work remotely, you can join us no matter where you are in the world

Resume delivery email: cn_recruiting@streamnative.io

Job Responsibilities

  • Plan, develop and build serverless commercial products based on Apache Pulsar/BookKeeper;
  • Design, develop and optimize the core components of Pulsar Functions/Pulsar Connectors;
  • Build an ecosystem around Apache Pulsar/BookKeeper;
  • Build a developer community of Apache Pulsar/BookKeeper and conduct Apache Pulsar/BookKeeper technical evangelism;
  • Write meticulous code and design documentation, and review other colleagues' code.

job requirements

  • Excellent discovery and problem-solving skills, good communication skills and teamwork spirit;
  • Familiar with at least one language in Java/Python/Go/C++/Rust, and have solid programming ability;
  • Familiar with the principles and key technologies of distributed systems, and have a certain research priority on the principles and implementation of distributed message middleware systems (such as Pulsar/Kafka/RabbitMQ);
  • Experience with Docker, Kubernetes, etc. is preferred.
  • Data or related practitioners are preferred, and knowledge/familiarity with and use of Pulsar Functions, AWS Lambda, Google Function, Azure Function and other products is preferred.

Culture is an important part of StreamNative, and we're looking for the best people who not only play their part, but also contribute to the health and growth of the company. Therefore, we hope that our little friends:

  • smart and empathetic;
  • Self-driven and willing to take responsibility;
  • Professional, want to become an expert in a certain field.

Solution Engineer

Work Location: Beijing/Shanghai

Resume delivery email: cn_recruiting@streamnative.io

job responsibilities

  • Support sales managers to communicate with customers on demand and technical exchanges, and build product demonstrations, design and explain Pulsar solutions, and write relevant documents according to demand;
  • Participate in and complete the technical exchanges, implementation and deployment, document preparation and summary reports in the POC stage to ensure that the technical level can meet customer expectations;
  • Responsible for customer technical support, including Pulsar deployment, upgrade, configuration changes, introduction to usage of ecological components (Function/Connector, etc.), principle explanation, best practices, fault location analysis, etc.;
  • Understand the customer's product functional requirements or bug feedback, and cooperate with the R&D team, documentation team, etc. to promote the optimization and upgrading of related products;
  • Based on day-to-day technical support work, write knowledge base articles and regularly share relevant experience with the team.

job requirements

  • Bachelor's degree or above, computer majors are credited, more than 3 years of work experience, and cloud product service experience is credited;
  • Have good learning and research ability, when faced with a new product or feature, can master it in a relatively short time;
  • Have good communication and expression skills, be good at listening to customers' problems and quickly find the key points to solve problems, and hope to help customers succeed through interaction with customers;
  • Familiar with Linux operating system, such as common commands, file system, system configuration, etc., have strong fault location and problem solving ability, and have rich experience in dealing with major faults;
  • Familiar with at least one mainstream distributed system (such as Kafka, Elasticsearch, HBase, etc.), willing to learn message flow technology and looking forward to becoming a domain expert in Apache Pulsar;
  • Regular participation in Pulsar offline activities is a bonus, and frequent participation in community discussions is a bonus;
  • Bonus points for those who have experience in using K8s, and bonus points for those who have experience in using Flink.

China Unicom Intelligent Network Innovation Center - Network Data Room

Big Data SRE Operation and Maintenance R&D Engineer

Working place: South of Baishiqiao, Haidian District, Beijing

Resume delivery email: zhaoyr21@chinaunicom.cn

Job Responsibilities

  • Responsible for the operation and maintenance management of the big data platform, cluster capacity planning, expansion, monitoring and performance optimization;
  • Actively communicate with tenants and deal with abnormal errors encountered by tenants using the cluster;
  • Have the willingness to learn independently, and be able to actively expand the big data ecology and related technology stacks according to the work content;
  • Participate in the development of big data platforms.

job requirements

  • 2 years or above experience in big data platform maintenance optimization or R&D;
  • Familiar with Java development, solid technical foundation;
  • Familiar with big data related technologies Hadoop, Spark, Flink, Hive, Hbase, Kafka, Pulsar, Clickhouse, Redis, Presto, etc. 2 or more;
  • Proficient in operating mainstream Linux operating systems, familiar with common system protocols and services; understand distributed storage architecture and principles such as Ceph, Ozone;
  • Familiar with big data permission control and security certification;
  • Have good communication, understanding and teamwork skills, work conscientiously and responsibly, and have a strong ability to withstand pressure;
  • Experience in operating and maintaining super-large Hadoop clusters is preferred;
  • Experience in source code modification and bug modification is preferred.

Data transmission channel SRE operation and maintenance development engineer

Working place: South of Baishiqiao, Haidian District, Beijing

Resume delivery email: zhaoyr21@chinaunicom.cn

Job Responsibilities

  • Undertake the maintenance of large-scale Pulsar/Kafka clusters, solve performance optimization and other issues together with the business, and ensure the efficient and stable operation of the cluster;
  • Conduct source code research and secondary development of Pulsar/Kafka to solve problems and challenges in actual business;
  • Familiar with FTP;
  • Build solutions for data collection, data transmission, real-time data analysis, and operation and maintenance monitoring.

job requirements

  • Bachelor degree or above in computer or related major, graduated from a double-first-class university, proficient in at least one language of Java/Python/C++/Go, and have more than 3 years of work experience in Internet industry operation and maintenance or development;
  • Familiar with Linux operating system and basic knowledge of computing, storage, networking (TCP/IP, DNS, VPN, CDN, etc.);
  • Familiar with Kafka or Pulsar source code, and have a solid distributed theoretical foundation;
  • Familiar with FTP;
  • Pulsar or Kafka community contributions or community actives are preferred, and large-scale Pulsar or Kafka cluster management and maintenance is preferred;
  • Possess good communication and collaboration skills, certain business understanding and business architecture capabilities, and good self-driving capabilities.

Past jobs

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