Senior Software Engineer - MLOps & Data Platform (TakeUp)

About Us

TakeUp, LLC is revolutionizing revenue optimization for hospitality with a daring approach to pricing. Using AI and machine learning, TakeUp empowers independent operators to unlock maximum revenue potential through pricing courageously—day in, day out. Seamlessly integrated with top Property Management Systems, our platform replaces traditional rate-setting constraints with data-driven confidence, delivering an impressive 10-15x ROI.

What You’ll Do

As a Senior Software Engineer focused on MLOps & Platform Development, you will own critical parts of our data infrastructure and pipelines. You’ll have broad autonomy to design and build solutions that power our machine learning workflows, integrate new data sources, and support next-generation features (including LLM-driven capabilities). This role is entirely focused on platform, data engineering, and MLOps—no front-end application development.

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.

What We’re Looking For

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.

Why Join Us

High Impact & Autonomy: Influence key decisions and shape the technical foundations of a high-growth platform.

Focus on Innovation: Work at the intersection of hospitality and emerging tech, including LLMs and advanced ML workflows.

Progress Over Perfection: We value rapid, iterative improvement—mistakes are learning opportunities, not deal-breakers.

Startup Culture: As part of a young, energized team, you’ll see the direct impact of your work on customers and the industry.