Senior Backend Engineer, Real-Time Bidding

🕒 March 18

🇺🇸 United States – Remote

💵 $180k - $190k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Trellis

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🤝 B2B

💳 Fintech

☁️ SaaS

💰 Venture Round - Trellis Technologies on 2023-04

B2B • Fintech • SaaS

<Trellis> Trellis makes insurance easy by meeting consumers where they are and helping them find the right personal insurance. The company provides embedded, digital insurance solutions for partners, insurers, and consumers — notably Trellis Connect (a consumer-permissioned data pre-fill solution for personal P&C accounts) and Savvy (an all-in-one embedded platform for comparing and purchasing personal property & casualty insurance, including licensed agents). Trellis targets fintechs, financial institutions, and insurance carriers to deliver omnichannel, brand-aligned insurance experiences.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible vacation (yes, *actually* flexible) • 100% employer-paid health insurance for employees • Home office budget to create your perfect setup • Wellness programming, because balance matters • 401(k) and HSA contributions, FSAs, bonuses & equity opportunities • Paid parental leave