Staff Software Engineer owning the data platform that powers AI - driven healthcare automation. Responsible for designing data models and ensuring compliance while boosting reliability and scalability.
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.
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.
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!)
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