Senior Software Engineer (Data)

at  Monolith AI

Are you passionate about revolutionising engineering with AI? Here at Monolith AI we’re on a mission to empower engineers to use AI to solve even their most intractable physics problems. We’ve doubled in size over the last four years, and we have ambitious plans moving forward. It’s an exciting time, and to continue our growth, we are recruiting a Senior Software Engineer focusing on Python for our Software Team.
Our Tech Stack:
AWS, Athena SQL, Athena Spark, ECS, Azure, Azure Synapse SQL & Spark, Python, Flask, Fast API, Redis, Postgres, React, Plotly, Docker. We will potentially add GCP and on-premise in the future.
What you can expect as a Senior Software Engineer at Monolith AI:
As a Senior Software Engineer at Monolith AI, you’ll contribute to developing our self-serve MLOps platform that empowers domain experts to harness AI without deep technical expertise. Using your strong Python backend skills, you’ll create intuitive tools that enable non-technical users to build robust MLOps pipelines, focusing on platform maturation, data scale, quality, and automation.
Working alongside experienced senior engineers, you’ll bring a data engineering mindset to the team, building sophisticated systems that parallel orchestration tools like Airflow or Temporal. Rather than creating individual pipelines, you’ll develop the frameworks and tools that allow users to create their own pipelines efficiently, while advocating for data engineering best practices across the team.
As a key member of our engineering team, you’ll shape the future of our platform’s data capabilities during a crucial growth phase. Success in this role means creating robust, user-friendly systems that democratize data engineering, allowing our clients to build and maintain sophisticated data pipelines without requiring deep technical expertise.

What would set you up for success coming into this role:

• You have a minimum of seven years experience working in Software Engineering, with at least three of these in Python.
• You’ve got two years’ experience working with Spark, preferably PySpark.
• You’ve had the opportunity to work on Cloud Infrastructure. Whether it be AWS, Azure or GCP.
• You’ve got experience with orchestration frameworks such as Temporal, Airflow or Dagster.
• You’ve had the opportunity to and enjoyed being part of a fast-paced and growing Software Engineering company.
• You’re not fazed by the prospect of working autonomously.

It would be a real bonus, but not a requirement if:

• You’ve worked in a start-up environment.
• You’ve got DBT experience.
• You’ve familiarity with MLOps principles and practices and their application in a production setting.

• You have a minimum of seven years experience working in Software Engineering, with at least three of these in Python.
• You’ve got two years’ experience working with Spark, preferably PySpark.
• You’ve had the opportunity to work on Cloud Infrastructure. Whether it be AWS, Azure or GCP.
• You’ve got experience with orchestration frameworks such as Temporal, Airflow or Dagster.
• You’ve had the opportunity to and enjoyed being part of a fast-paced and growing Software Engineering company.
• You’re not fazed by the prospect of working autonomously