About the role

Senior Software Engineer designing and operating data platforms for Mudflap's payment products. Collaborating with teams to ensure reliable, scalable data systems in the trucking industry.

Responsibilities

Design, build, and scale the core data platform infrastructure that powers ingestion, processing, and data availability across Mudflap systems.
Develop production-grade Python services, libraries, and frameworks used by engineers and data teams to reliably build and operate data pipelines.
Architect scalable systems for high-throughput data ingestion, processing, and storage across batch and streaming workloads.
Own the reliability, scalability, and performance of the data platform, ensuring systems meet production-grade standards for observability, fault tolerance, and operational excellence.
Build and maintain platform abstractions, tooling, and infrastructure that simplify how engineering teams produce, transform, and consume data.
Design platform-level capabilities for orchestration, pipeline execution, schema management, and data processing frameworks.
Collaborate closely with backend, product, and analytics engineers to ensure the platform supports both operational and analytical workloads.
Lead system design efforts for large-scale data infrastructure, making architectural decisions that support long-term platform scalability.
Establish engineering best practices around Python development, system reliability, infrastructure ownership, and platform maintainability.
Mentor engineers through design reviews, technical guidance, and best practices for building robust platform systems.

Bachelor’s or Master’s degree in Computer Science (or related technical field)
8+ years of software engineering experience, with significant experience building infrastructure or platform systems.
Expert-level proficiency in Python, with a track record of developing production-grade systems and frameworks.
Strong experience building distributed systems and large-scale data processing infrastructure.
Deep understanding of system design, scalability, and performance optimization for data-intensive platforms.
Experience building or operating data platforms, pipeline frameworks, or internal developer infrastructure.
Strong experience with cloud infrastructure (AWS, GCP, or similar) and modern infrastructure tooling.
Familiarity with data processing technologies and storage systems (e.g., Spark, Kafka, Snowflake, BigQuery, or similar).
Experience designing reliable pipeline infrastructure and building systems that support high-throughput data ingestion and processing.
Strong engineering ownership mindset with experience building, operating, and maintaining production infrastructure.
Excellent communication skills and ability to collaborate with engineering teams to design scalable platform solutions.