Sr. Site Reliability Engineer - Data

Description

What we’re looking for:

The Sr. Site Reliability Engineer - Data who will contribute to our growing Data Engineering and Operations team. We work collaboratively to develop an infrastructure that ingests data from disparate sources and routes them to various target storages and applications, thus providing access to high quality data to users, ranging from application developers interested in specific events to data analysts keen on business intelligence to data scientists training ML models..

At AppFolio, we paddle as one. We ride and make waves together, with a relentless focus on building great products for the way our customers work and live today – and tomorrow. AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport.

Your impact:

• Design, build and operate on next generation data pipeline infrastructure based on Apache Kafka and its ecosystem
• Improve data architecture, quality, discoverability and access policies to enable and enforce data governance
• Collaborate with engineers, data analysts and scientists to ensure that our data infrastructure meets the SLOs of our data-intensive customers
• Develop techniques for monitoring the completeness, correctness and reliability of our data sets
• Leverage agile practices, encourage collaboration, prioritization, and urgency to develop at a rapid pace
• Research, share, and recommend new technologies and trends
  
  
  

Qualifications

• You have hands-on experience with using Apache Kafka in production and have a passion for building a reliable, scalable and fault-tolerant infrastructure.
• You have hands-on experience with data warehouse technology, particularly with Snowflake.
• You have worked with a variety of data sources, including change data capture systems, event sourcing and clickstreams, in production.
• You have industry experience with working with real time transformation technologies such as Apache Flink
• You care about work-life balance and want your company to care about it too; you'll put in the extra hour when needed but won't let it become a habit.
• You want to work with a high degree of autonomy, while at the same time working on initiatives of high importance to the company.
  
  
  

Must have

• You have 5+ years of experience working with languages like Python or Ruby, Infrastructure as Code, configuration management, and monitoring tools
• Proficient in creating consumable tools for platform management
• Proficient in tooling orchestration utilizing CICD best practices with tools like CircleCI or Jenkins
• Experience with containers and container orchestration tools. Docker and Kubernetes experience
• Experience with Kafka, Kafka Connect and its ecosystem
• Experience with AWS primitives(IAM, VPC, RDS, S3, MSK, EKS, etc.)
• You have excellent MySQL operational knowledge
• Proficient in RBAC and Data Governance across multiple platforms and ecosystems(AWS, Snowflake, Kafka, etc.)
• Bachelors in Computer Science or other quantitative fields
  
  
  

Nice to have

• Experience with Debezium connector is highly desirable
• Experience with clickstream tracking technology, e.g. Snowplow, is desirable
• Experience with large scale Data Lakes and Lake Houses, especially with Apache Iceberg is a plus
• Background in monitoring and maintaining cost management on the cloud(FinOps)
• Data science skills for analyzing data and communicating with ML engineers are a plus
• Proven mentoring experience to help develop peers
  
  
  

Compensation & Benefits

The compensation that we reasonably expect to pay for this role is: $125,600 - $157,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.

Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.

Regular full-time employees are eligible for benefits