Software Engineer - SnowConvert AI

Responsibilities:

• The team develops fundamental code conversion techniques, robust data migration and validation pipelines, and automatic testing components. These capabilities are then leveraged by automated AI agents that process a complete application migration to Snowflake.

• Develop the foundations that AI agents rely on for fast, consistent code conversion

• This development team sits at the center of the original SnowConvert team, AI team, FDE to deliver the architecture below.

• Careful API design is a must for an ever-changing landscape of AI capabilities.

• Iterating with the FDE team enables quick feedback to prototypes, early products.

Our Ideal Software Engineer Will Have:

• Strong software engineering experience in Python, with a focus on performance, reliability, and distributed systems.

• Hands-on experience building agentic AI applications, especially in domains such as computer control or code gen.

• Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen, etc.

• Deep understanding of distributed systems, API design, and backend architectures.

• High agency—ability to take ownership, navigate ambiguity, and independently push projects forward.

Strongly Desired:

• Experience with GoLang for high-performance backend services.

• Strong understanding of big data transformation, ETL, and ELT pipelines.

• Proficiency in Spark, Airflow, dbt, Kafka or other data engineering tools.

• Familiarity with streaming architectures, event-driven systems, and async processing.

• Experience optimizing large-scale data pipelines for performance and cost efficiency.

• Former founding engineers who have built and owned significant technical projects are highly valued.