Staff Backend Software Engineer

Summary

Join Trellis, a Series A startup, as a Staff Backend Engineer to enhance Real-Time Bidding (RTB) capabilities. You will lead the design, development, and scaling of backend features, integrating services, managing databases, and developing MLOps components. This role blends product engineering with machine learning expertise, focusing on building and deploying machine learning models to improve bidding services. You will collaborate with stakeholders, integrate automation products, and utilize Python, Kubernetes, and GCP services. This fully remote position, based in the US or Canada, reports to the Head of RTB. Trellis offers competitive compensation, benefits, and a collaborative work environment.

Requirements

• A minimum of 7 years of professional software engineering experience, demonstrating progressive growth and significant hands-on expertise in both 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), including
• 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

Responsibilities

• 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)
• Lead 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

Benefits

• Flat, collaborative, transparent culture; get in at the ground floor and be a true business partner
• Opportunities for growth and development within your role and all areas of the organization
• 75th-percentile (competitive!) compensation
• 100% remote work environment
• Quarterly, fun team bonding events
• Unlimited vacation time
• 100% employer-paid Platinum-tier health insurance for employee, 65% for dependents
• Flexible Spending Accounts (FSAs)
• 401(k) retirement savings plan
• Bonuses and equity opportunities
• Budget for home office equipment