Staff Software Engineer - Data Streaming - Remote

This position is a hybrid role requiring employees to work from our headquarters location in Seattle, WA; or Atlanta, GA every Tuesday and Wednesday, and remote all other days. This is a fully remote opportunity for those residing in the United States outside of the greater Seattle or Atlanta areas. For those in Seattle or Atlanta, you will be expected to follow a hybrid schedule of Tuesday and Wednesday in office. Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing impactful work in a collaborative environment, join our team! Can you facilitate a team of engineers to deliver highly available data streaming infrastructure that supports key business workflows? Do you enjoy mentoring other engineers and working across the company to solve big problems? If so, we’re looking for a Staff Software Engineer to expand our data streaming strategy which supports business critical features across Redfin and Rent. As a Staff Software Engineer on the Data Streaming team you will be responsible for leading our strategy and implementation, while mentoring other engineers on the team. The team is responsible for data streaming infrastructure, including Kafka and associated technologies, as well as application client libraries used for connecting to our systems. You’ll also work with peers across teams to develop solutions to some of our biggest technical challenges. The Role: You will architect our Kafka environment to support the expansion of our systems across multiple AWS regions and companies. You will own and maintain Kafka and related infrastructure, ensuring optimal performance, cost allocation, and resilience, including appropriate monitoring. You will build and support streaming client frameworks, including Kafka Connect/Debezium, Spring Cloud Streams, Kafka Streams, and Spark Structured Streaming. You will assist other engineers in their use of data streaming technologies at Redfin. You will keep our systems up to date with current best practices and tooling, including monitoring, logging, and deployment tooling. You will drive team efficiency improvements and share your learnings with other engineers across Redfin. You will lead our goal of automating all processes to ensure consistency and reliability. You will assist with debugging and recovery when incidents arise. You will mentor other engineers on the Streaming team. You work with other technical leaders to solve cross company issues. About You: You have 7+ years of experience in Software or Systems Development. You have 3+ years experience running Kafka clusters and/or clients in large-scale production environments. You have 3+ Years experience with cloud providers (AWS, GCP, or Azure). You have 7+ years of experience with Java. You have experience analyzing and troubleshooting large-scale distributed systems. You have experience monitoring infrastructure application health. You have the ability to participate in complex technical discussions with a variety of audiences, including software and systems engineers and business leaders. You are able to guide a team of engineers to identify and implement solutions to difficult problems. You have experience with CloudFormation or Terraform. You have the ability to consult with other teams on system design and capacity planning. You understand and advocate for security best practices. You have a Bachelor's degree in Computer Science, Computer or Electrical Engineering, or equivalent work experience. You are able to work in an on-call rotation supporting Kafka and related infrastructure. On-call expectation will be one week every 4 weeks.