Staff Backend Software Engineer, Trellis

Real-Time Bidding

Salary not provided

+ Bonuses and equity opportunities

SQL

Docker

Kubernetes

GCP

Python

Redis

Data Flow

BigQuery

FastAPI

Senior and Expert level

Remote from Canada, US

P&C insurance data services

Be an early applicant

P&C insurance data services

21-100 employees

FintechB2BEnterpriseInsuranceAPI

Be an early applicant

Salary not provided

+ Bonuses and equity opportunities

SQL

Docker

Kubernetes

GCP

Python

Redis

Data Flow

BigQuery

FastAPI

Senior and Expert level

Remote from Canada, US

21-100 employees

FintechB2BEnterpriseInsuranceAPI

Company mission

To build industry-leading solutions that make insurance easy for everyone, from consumers to partners to insurers.

Job

Company

Role

Who you are

If you excel at solving complex scaling challenges (aiming for 10x growth!), have deep experience building reliable cloud-native systems and products, and have an interest in applied machine learning, join our fast-paced team and define the future of our technology
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

What the job involves

Trellis is hiring a Staff Backend Engineer to advance our Real-Time Bidding (RTB) capabilities. You’ll join a nimble and driven team, playing a pivotal role in shaping the future of our product, architecture, and company
This role uniquely blends product engineering with machine learning expertise. Your primary focus will be on leading, designing, building, and scaling the backend features of our RTB system – including service integration (FastAPI), database management and MLOps components of our system
This will be complemented by a focus on developing, deploying, and iterating on the machine learning models and features that power our bidding services
You will be responsible for the integration of new automation products in the Real Time Bidding Services and the ML models they serve. You'll utilize Python, Kubernetes, and core GCP managed services (GKE, Pub/Sub, Dataflow, BigQuery, Vertex AI, etc.)
Report directly into the Head of RTB, Thomas Boquet
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

Our take

Changing insurance providers can be a daunting and overwhelming process. Its a complex and lengthy undertaking, resulting in many people sticking to the same provider, even if it doesn't best suit their needs.

Recognizing the need for a better solution is Trellis, that delivers an API platform for consumers to compare insurance policies side-by-side. It also partners with digital banks and financial institutions to offer new insurance options to their existing customers - a feature which allows it to stand out from the competition.

Trellis has seen exponential growth since founding in 2019, and has secured strong funding from the likes of Amex Ventures. The company is now in a prime position to accelerate its offerings and further innovate the insurance market.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

May 2022

$5m

EARLY VC

Jun 2021

$10m

SERIES A

Total funding: $15m

Company benefits

Bonuses and equity opportunities
Unlimited vacation time
100% employer-paid insurance for employee, 60% for dependents
401K plan
Annual in-person retreats

Company HQ

SoMa, San Francisco, CA

Leadership

Daniel Demetri

(Founder & CEO)

Previously co-founded the insurance company, Doma. Also worked as a Product Manager at Google as well as a Product Lead/Head of Product Management at Earnest.

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