Cloud Site Reliability Engineer
Dubbed an "open-source unicorn" by Forbes, Confluent is the fastest-growing enterprise subscription company our investors have ever seen. And how are we growing so fast? By pioneering a new technology category with an event streaming platform, which enables companies to leverage their data as a continuous updating stream of events, not as static snapshots. This innovation has led Sequoia Capital, Benchmark, and Index Ventures to recently invest a combined $125 million in our Series D financing. We’re being led by the best in the space—our founders were the original creators of Apache Kafka®. Our product has been adopted by Fortune 100 customers across all industries. We’re looking for talented and amazing team players who want to accelerate our growth, while doing some of the best work in their career. Join us as we build the next transformative technology platform!
About the Team:
The next big goal for the company is to make it as easy as possible for anyone in the world to use Confluent’s products, including Kafka, to build their next killer streaming application. To do that we need to offer Confluent’s products as a Platform as a Service. (PaaS). In order for this product to be successful we absolutely have to build a world class team of Site Reliability Engineers (SREs) that are passionate about running large scale, multi-tenant distributed data systems for customers that expect a very high level of availability.
Key duties and responsibilities
Key responsibilities include:
• Working alongside the rest of the Confluent engineers to build the company’s PaaS product;
• Responsibility for the site reliability, engineering of Confluent cloud and all that it entails;
• Responsibility for the availability, latency, performance, efficiency, change management, monitoring, emergency response and capacity planning through software engineering principles and automation;
• Ensuring Confluent’s big data systems run as smoothly as possible; and
• Influencing the architecture and operational design points of Confluent’s product.
Skills, qualifications and experience required
The candidate must possess the following attributes:
• Bachelor's degree in Computer Science or similar field or equivalent;
• Experience managing Apache Kafka with automation 1+ years;
• Previous experience with distributed systems such as Hadoop 3+ years;
• Experience with IP space management via automation 3+ years;
• Past experience with a SaaS provider 3+ years;
• Previous experience with AWS 3+ years;
• Previous experience in a SaaS working with distributed systems;
• Experience building automation to operate large-scale data systems;
• Solid experience working with large private or public clouds;
• Strong fundamentals in distributed systems design and operation;
• A self starter with the ability to work effectively in team;
• Excellent spoken / written communication;
• Preferred proficiency with Go, or Python;
• Strong sense of teamwork and places team and company’s interests first;
• Driven and excited about challenges of a fast-paced, innovative software startup environment; and
• Smart, humble and empathetic.
Date posted: 6 March 2019
Closing date: 3 April 2019