Senior Software Engineer, Data Platforms

Mudflap Inc.

Job Overview

Location

Palo Alto, CA

Job Type

Full-time

Full Job Description

📋 Description

• As a Senior Software Engineer, Data Platforms at Mudflap Inc., you will design and operate the foundational data infrastructure that powers reliable, scalable data access across all company systems, enabling teams to build and scale data-driven products with confidence.
• You will architect and build production-grade platform systems for data ingestion, pipeline orchestration, and large-scale processing, establishing the engineering foundations that allow Mudflap to move faster with trustworthy, highly available data used across backend, product, and analytics teams.
• Your work will directly impact Mudflap’s mission to transform the $800B trucking industry by ensuring data systems are robust, observable, and performant—critical for fuel savings products that help truckers reduce their #1 business expense.
• Day to day, you will design, build, and scale the core data platform infrastructure that powers ingestion, processing, and data availability across Mudflap systems, ensuring high throughput and low latency for both batch and streaming workloads.
• You will develop production-grade Python services, libraries, and frameworks used by engineers and data teams to reliably build and operate data pipelines, focusing on maintainability, testability, and ease of adoption.
• You will architect scalable systems for high-throughput data ingestion, processing, and storage across batch and streaming workloads, leveraging technologies like Spark, Kafka, Snowflake, or BigQuery to handle growing data volumes.
• You will own the reliability, scalability, and performance of the data platform, implementing observability, fault tolerance, and operational excellence practices to ensure systems meet production-grade standards.
• You will build and maintain platform abstractions, tooling, and infrastructure that simplify how engineering teams produce, transform, and consume data, reducing cognitive load and accelerating delivery.
• You will design platform-level capabilities for orchestration, pipeline execution, schema management, and data processing frameworks, enabling consistent and secure data workflows across the organization.
• You will collaborate closely with backend, product, and analytics engineers to ensure the platform supports both operational and analytical workloads, aligning technical capabilities with business needs.
• You will lead system design efforts for large-scale data infrastructure, making architectural decisions that support long-term platform scalability and future-proofing against evolving data demands.
• You will establish engineering best practices around Python development, system reliability, infrastructure ownership, and platform maintainability, raising the bar for code quality and operational discipline.
• You will mentor engineers through design reviews, technical guidance, and best practices for building robust platform systems, fostering a culture of technical excellence and knowledge sharing.
• You will join a fast-growing, mission-driven company backed by top-tier investors (QED, Matrix Partners, Commerce Ventures, NFX, 500 Startups) and recognized in the Forbes Fintech 50, working alongside alumni from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm, and Brex.
• You will operate in a hybrid work environment based in Palo Alto, CA, balancing in-office collaboration with remote flexibility to support productivity and work-life harmony.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science or a related technical field
• 8+ years of software engineering experience with significant experience building infrastructure or platform systems
• Expert-level proficiency in Python, with a proven 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

🏖️ Benefits

• Competitive salary and equity in a high-growth startup
• Multiple health benefit options
• Responsible Time Off
• 401(k) matching
• Opportunities and support for major career growth
• Annual Company offsite event (Mudfest!)

Skills & Technologies

Python

AWS

GCP

Kafka

Apache Spark

Senior

Remote

$185k-250k

Degree Required

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Mudflap Inc.

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About Mudflap Inc.

Mudflap Inc. operates a mobile application that enables owner-operator truck drivers and small fleets to save on fuel at over 1,500 independent truck stops across the United States. Users reserve discounted fuel through the app, then pay instantly via mobile without needing fleet cards or credit checks. The company partners with fuel retailers to offer lower prices and earns revenue through merchant fees and data services. Founded in 2017 and headquartered in San Francisco, the platform also provides analytics and loyalty rewards to improve fuel purchasing efficiency for small trucking businesses.

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