Senior Software Engineer

### Who you are
- 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

### What the job involves
- 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
- 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

### Benefits
- A flexible, remote-first company
- A team of talented individuals on a mission to change a $1 trillion industry for the better
- A high bar for quality and commitment to self-improvement
- An open mind to new ideas and methodologies
- Opportunities and support for massive career growth