Set data in motion.

Technical Support Engineer – Data Streaming and Governance

Support EngineerSupport EngineerFull TimeRemoteTeam 1,001-5,000Since 2014H1B SponsorCompany Site LinkedIn

Location

United States

Posted

29 days ago

Salary

$110.6K - $130K / year

Bachelor DegreeEnglishApacheDistributed SystemsJavaJava ScriptKafkaLinuxMac OSPythonScalaSparkSQLGo

Job Description

• Working with customers to resolve a wide range of issues with their Confluent deployments • Contributing to process development - we’re a small team, so we’re looking for people who want to help us lay the foundation for growing efficiently and with a best-in-class culture • Communicating with our core engineering team to provide real-time product feedback from the field • Improving product documentation and authoring knowledge base articles • Creating and reviewing product demos and internal tooling • Working closely with the team behind Apache Kafka! • Diving deep into Apache Flink to support its growth and adoption within the ecosystem

Job Requirements

Regularly provide technical support within your current role.
Excitement in learning about streaming data and becoming a domain expert in the Confluent Data Stream Platform
Strong SQL skills
Proficiency in Java and C / C++
Experience with client server technologies or distributed systems.
Apache Flink production experience is a plus
Experience with Golang, Python, JavaScript, C#, Scala is a plus
Ability to quickly understand and reason through the internal architecture of complex systems, with a primary focus on Linux and additional proficiency in macOS and Windows
A developer-centric approach to diagnosing, reproducing, and resolving customer issues, including the ability to build and run test clients to replicate customer behavior and validate solutions
Desire to make customers successful through direct interaction, including troubleshooting calls
Two out of these three:**- Experience troubleshooting applications running on Linux (resource contention, network bottlenecks, etc.)**- Operational knowledge of Java applications (stack, jmap, etc.)**- Experience with at least one mainstream distributed system (e.g. Kafka, Flink, Spark, etc)