Full Stack Software Engineer

Auctane • Austin, TX

27d • Hybrid

About The Position

As a Full Stack Software Engineer on the ShipStation team, you'll own the development of data-driven features that turn shipping and logistics data into actionable insights for our customers. You'll work across the full stack—building responsive, intuitive interfaces with ReactJS and developing performant backend services in .NET—while applying data analysis and machine learning techniques to help merchants improve their business and shipping efficiency. You'll collaborate with product managers, designers, data scientists, and fellow engineers to deliver scalable solutions from conception through deployment.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, or equivalent years of relevant work experience.
• 4+ years of professional software development experience, with a strong background in .NET for backend development and ReactJS for frontend development.
• Strong proficiency in both frontend development (ReactJS) and backend development (.NET/C#), with the ability to independently deliver end-to-end features.
• Demonstrated experience with data analysis, statistical methods, or machine learning—comfortable working with large datasets to extract insights.
• Familiarity with ML frameworks and libraries (e.g., ML.NET, scikit-learn, TensorFlow, or PyTorch) and an understanding of when and how to apply common algorithms.
• Exceptional communication skills with the ability to explain complex technical and analytical concepts to both technical and non-technical audiences.
• Strong understanding of SQL, relational database systems, and ORM frameworks, with experience writing performant queries against large datasets.
• Experience designing and consuming RESTful APIs at scale.
• Deep understanding of object-oriented design, SOLID principles, and software architecture patterns.
• Experience with creating and maintaining automated tests in a test-driven development environment.
• Experience with source control systems (Git), branching strategies, and CI/CD pipelines.
• Comfortable working in an Agile development environment with a track record of delivering on commitments.
• Self-directed and capable of driving work forward independently while knowing when to seek input from others.

Nice To Haves

• Experience building data pipelines, ETL processes, or analytics platforms.
• Hands-on experience training, evaluating, and deploying machine learning models in a production environment.
• Background in shipping, logistics, e-commerce, or supply chain domains.
• Experience with event-driven architectures and streaming platforms (e.g., Kafka).
• Experience with cloud-native development and containerized deployments.
• Familiarity with data visualization libraries and techniques for presenting analytics to end users.
• Contributions to open source projects or published work in data science/ML.

Responsibilities

• Design and build full-stack features for the ShipStation Intelligence product line, delivering data-driven insights that help customers optimize their shipping operations.
• Develop and maintain machine learning pipelines and models that surface patterns, predictions, and recommendations from large-scale shipping and logistics data.
• Build dynamic, responsive user interfaces with ReactJS that present complex data and analytics in clear, actionable ways.
• Architect and optimize robust backend services using .NET, ensuring scalability, reliability, and performance under high data throughput.
• Perform exploratory data analysis to identify opportunities for new intelligence features and validate hypotheses before engineering solutions.
• Design and implement RESTful APIs and data contracts that support both real-time and batch analytics workloads.
• Use AI coding/testing tools to accelerate tasks; practice safe prompting, validate results with peers, and contribute learnings and tips to team docs.
• Lead design review discussions for your area of ownership; drive technical decisions and communicate tradeoffs clearly to stakeholders.
• Proactively identify technical debt, performance bottlenecks, and reliability risks, and advocate for addressing them.
• Collaborate with cross-functional teams to define, design, and ship new features across the Auctane platform.
• Write comprehensive automated tests—unit, integration, and end-to-end—to ensure correctness of data transformations and ML outputs.
• Participate in and provide thorough code reviews, maintaining high code quality and encouraging best practices across the team.
• Stay current with emerging trends in data engineering, machine learning, .NET, and ReactJS ecosystems, and bring relevant innovations back to the team.
• Contribute to the evolution of team engineering practices, tooling, and architecture standards.
• Other duties as assigned.

Benefits

• Flex Time Off policy
• 12 paid holidays
• 401k employer matching program
• Annual merit reviews
• Company events
• Attractive office space in the heart of central Austin, Texas (free drinks, snacks…)
• Weekly catered lunches
• Medical, dental, and vision plans
• Fitness center in the office with Tonal Mirrors, Pelotons, free weights, etc.
• Employee Assistance Program (up to 8 free mental health sessions)
• Gym discounts
• Education reimbursement
• Employee Referral Program
• Inclusive, casual and upbeat work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level