Senior Software Engineer - MLOps

February 19

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1848 Ventures, backed by Westfield

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1848 Ventures is a company supported by Westfield that provides a wide range of insurance services. They offer business insurance tailored to increase operational efficiency and security for both large and small businesses. Additionally, they provide personal insurance solutions for home and auto to protect individual lifestyles. With specialized coverages developed for the unique needs of the agricultural sector, and a variety of surety bonds, 1848 Ventures aims to ensure that their clients' projects and obligations are met with peace of mind. Their offerings also include cybersecurity insurance and workers' compensation to safeguard businesses and support employees.

Design Thinking • Product Development • Business Development • Non-Traditional Risk • Insurance

51 - 200 employees

Founded 2018

🔒 Cybersecurity

📋 Description

• Architect & Implement Data Pipelines: Design robust data flows that ingest, transform, and deliver critical datasets within our AWS, Snowflake, dbt, and Prefect ecosystem. • Own MLOps: Collaborate closely with our data science team to productionize models in AWS SageMaker and ensure smooth, efficient model deployment and monitoring. • Integrate LLM Tools: Contribute to the design of LLM-powered features, connecting these tools to our platform and data pipelines as needed. • Infrastructure & Reliability: Engineer a scalable environment using services like AWS ECS, Lambda, and other modern cloud tooling to support continuous growth. • Platform Leadership: Champion best practices, guide technology choices, and help shape the evolving architecture. This is a high-autonomy role where you’ll operate with minimal oversight. • Continuous Improvement: Prioritize progress over perfection, driving rapid iteration while balancing technical debt and long-term maintainability.

🎯 Requirements

• Senior-Level Expertise: You’ve been hands-on building and operating data-intensive and/or machine learning platforms in a production environment. • Python & Cloud Stack: Strong Python skills with a proven track record using AWS (ECS, SageMaker, Lambda, etc.), Snowflake, dbt, and orchestration frameworks like Prefect (or similar). • Self-Starter Mentality: You take broad goals and run with them, proactively identifying next steps and making sound architectural decisions. • Ownership & Drive: You thrive in a startup setting, embrace multiple hats, and love getting into the technical weeds to solve tough challenges. • Collaborative & Curious: Comfortable interfacing with data scientists, product managers, and external partners to deliver impactful solutions.