Senior Software Engineer, Data Platforms

Mudflap•Palo Alto, CA

1d•$185,000 - $250,000•Hybrid

About The Position

Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey. We are building the foundational data platform that powers reliable, scalable data across Mudflap’s systems. As a Senior Software Engineer, Data Platforms, you’ll play a critical role in designing and operating the infrastructure, frameworks, and services that enable teams to ingest, process, and access data at scale. In this role, you will architect and build production-grade platform systems that power data ingestion, pipeline orchestration, and large-scale processing. Your work will help establish the engineering foundations that allow Mudflap to move faster with trustworthy, highly available data systems used across the company. This role is based in the Bay Area and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely.

Requirements

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.

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.