About the job
About Trellis
Trellis is transforming the insurance landscape from within. As the technology powerhouse behind Savvy, our licensed insurance agency, we aim to inject clarity and simplicity into an industry often perceived as complex. With innovative tools, elegant design, and a customer-centric approach, we strive to make insurance shopping genuinely effortless.
We are a profitable, rapidly expanding Series A startup, supported by esteemed investors including General Catalyst, QED, NYCA, and Amex Ventures. Embracing a remote-first culture, we operate swiftly, experiment boldly, and build with purpose.
If you seek to make a significant impact, thrive in uncertainty, and are eager to collaborate with exceptional colleagues, you will excel in your role at Trellis.
Your Mission
Join us as a Senior Backend Engineer to enhance our Real-Time Bidding (RTB) capabilities. You will be part of a dynamic and motivated team, playing a crucial role in shaping our product and architecture.
This position uniquely integrates product engineering and machine learning expertise. You will be responsible for designing, building, and scaling the backend of our RTB system, which includes service integration (FastAPI), database infrastructure, and MLOps components, while also contributing to the ML models driving our bidding engine.
Collaboration across teams will be key, as you leverage your skills in Python, Kubernetes, and GCP (GKE, Pub/Sub, Dataflow, BigQuery, Vertex AI). If you have a proven history of addressing complex scalability challenges and developing reliable cloud-native systems, we invite you to help us enhance our technology and your craft.
This position is fully remote, available to candidates in the US or Canada, and reports directly to our Head of RTB, Thomas Boquet.
We believe in offering competitive compensation for outstanding work. As a remote team, we set our salaries at the 75th percentile of national market data within our industry. You can expect your compensation to align with or exceed the market rates. We conduct biannual reviews of compensation to ensure we remain competitive and recognize our team's contributions.
