Software Engineer II - Data Platform

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary As a Software Engineer II, you will contribute to the design, development, and maintenance of scalable data pipelines that support our data-driven initiatives. You will work independently to define the approach for assigned tasks, applying standard engineering procedures and techniques to solve complex problems. You will be expected to handle ambiguous requirements, exercise full agency over your own work, and ensure that your technical solutions are compatible with systems and platforms in adjacent areas. You will balance technical execution with a clear understanding of business and product outcomes. Essential Responsibilities Contribute to the design, implementation, and maintenance of real-time and historical data pipelines, ensuring adherence to standard procedures and best practices. Build and maintain well-organized, documented libraries and APIs to manage, search, and analyze vehicle datasets. Collaborate on the development of front-end interfaces to visualize data and improve fleet operations. Partner with cross-functional autonomy and platform teams to address software needs, ensuring system compatibility and synchronization. Independently determine technical approaches to assigned tasks, actively discussing improvements and potential alternatives with the team. Apply rigorous testing and standard procedures to optimize data processing workflows for performance, scalability, and cost-effectiveness. Implement data quality checks and monitoring tools, maintaining awareness of the impact of these systems on product and business outcomes. Proactively invest in professional growth and technical mastery through research and application of industry standards. Skills and Abilities   Success in this role typically requires the following competencies: Technical Proficiency: Strong software development skills with proficiency in object-oriented programming (Python, Rust, Java, etc.) and a commitment to applying industry-standard techniques. Problem Solving: Demonstrated ability to identify potential alternatives to solve technical problems and the ability to work independently with ambiguous requirements. Communication: Effective, clear, and concise communication of both technical and non-technical information to teammates and peers across different domains. Collaboration: Active contribution to design discussions and a collaborative approach to identifying and resolving dependencies. Ownership: A high degree of agency in executing assigned specs and a proactive mindset toward system compatibility. Qualifications and Experience   Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree or experience. 2+ years of industry experience in software engineering. Working knowledge of data structures, algorithms, and object-oriented programming. Experience with cloud platforms (AWS, Azure, GCP) and deployment practices. Experience with agile development methodologies and CI/CD practices. Desirable Experience building and maintaining data-processing pipelines in a cloud environment. Knowledge of data warehousing or data lake concepts. Familiarity with containerization (Docker, Kubernetes) and telemetry systems. Understanding of real-time data processing and distributed systems. Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? -  Minimal: 1%-10% Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.  Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich r