Job Title: Senior Backend Engineer

Company Name: Savvy Insurance

Job Url: https://jobs.ashbyhq.com/savvyinsurance-trellis/1f49fb74-a518-404c-8904-b5954e282e94?utm_source=BdPM9KY7Qm&jr_id=69af32586b21de023e605c45

Job Description: We're hiring a Senior Backend Engineer to advance our Real-Time Bidding (RTB) capabilities. You'll join a nimble, driven team and play a key role in shaping our product and architecture.

This role uniquely blends product engineering with machine learning expertise. You'll focus on designing, building, and scaling the backend of our RTB system — spanning service integration (FastAPI), database infrastructure, and MLOps components — while contributing to the ML models that power our bidding engine.

You'll work cross-functionally and bring expertise in Python, Kubernetes, and GCP (GKE, Pub/Sub, Dataflow, BigQuery, Vertex AI). If you have a track record solving complex scaling challenges and building reliable cloud-native systems, come help us grow our technology and your craft.

This is a fully remote position, based in the US or Canada, reporting directly to the Head of RTB, Thomas Boquet.

We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. We review compensation twice a year to make sure we’re staying competitive and rewarding our team’s contributions.

What You’ll Do
Collaborate closely with business stakeholders and other engineers to deliver impactful solutions.

Integrate services and product features with databases (Cloud SQL, Redis) and messaging queues (Pub/Sub).

Contribute to the development of our MLOps tools for ML models.

Build and optimize large-scale data processing pipelines for feature extraction and data transformation using BigQuery and Dataflow.

Train, evaluate, deploy, and monitor machine learning models on Vertex AI to improve bidding performance.

Stay fast and focused, balancing speed, performance, and scalability to deliver impact.

What You’ll Need
A minimum of 5 years of professional software engineering experience, demonstrating progressive growth and significant hands-on expertise in backend systems development and machine learning engineering

Strong proficiency in Python. Experience with FastAPI is a plus.

Deep understanding and practical experience with Google Cloud Platform (GCP)

Exposure to the end-to-end machine learning lifecycle: data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring in production.

Experience with MLOps principles and practices.

Familiarity with containerization and orchestration (Docker, Kubernetes).

A “get it done” mindset with the ability to make pragmatic decisions balancing speed, performance, technical debt, and scalability.

Strong communication and collaboration skills.