Key skills
TypeScriptPythonGoAIMachine LearningMLGenerative AIGenAILarge Language ModelsETLDatabricksSparkKafkaGraphQLAWSAzureGCPKubernetesLeadershipCommunicationCollaboration
About this role
Zillow is a leading real estate platform dedicated to empowering individuals in their real estate journeys. The Senior Software Development Engineer will design and implement AI services and data infrastructure, enhancing partner engagement and communication workflows through innovative GenAI solutions.
Responsibilities:
- Design, implement, AI services and data infrastructure that are scalable, performant, maintainable, and secure
- Architect (and re-architect) GenAI systems that push the boundaries of latency and scalability
- Promote operational efficiency by establishing benchmarks in software design, implementing automated testing, and observability mechanisms
- Serve as a feedback giver to teammates on their system designs and code quality
- Use AI coding assistants and tools to implement your vision and magnify your impact
- Collaborate with team members from diverse domains: product, data, and science
- Provide leadership that helps navigate the team through complicated technical challenges
- Support the growth and development of individuals and the team through interviewing, onboarding, and mentorship
Requirements:
- 5+ years of software development experience implementing scalable service infrastructure and productionalizing machine learning systems
- Familiarity with common AI and ML back-end technologies such as Databricks, Kafka, Temporal, GraphQL, Kubernetes, etc
- Have successfully integrated AI code assistants into your workflow
- Fluent in languages such as Python, Go, Typescript
- Hands-on experience with cloud computing platforms such as AWS, Azure, or GCP
- Strong understanding of software design patterns, principles, architecture, and operations
- Comfortable in a small team/fast-paced environment
- Excellent communication, collaboration, and organizational skills
- Experience building ETL pipelines using Spark, Databricks, etc
- Experience in monitoring and observability of high availability systems across tech stacks
- Experience with building applications that use Generative AI or Large Language Models and related technologies