New

Full Stack Software Engineer

Austin, TX

 

About us

At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe.

The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.

Our values

Win as One. Delight Customers. Deliver Great Outcomes. 

About the role

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.

About the team

The Auctane Software Development team is empowered with enhancing, modifying, and maintaining features and functionality associated with the Auctane suite of software products. 

What will you be doing?

  • 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.

What are we looking for?

  • 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.

What will make you stand out?

  • 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.

The Tech

  • C#, .NET 8, .NET Framework, PostgreSQL, Microsoft SQL Server, JavaScript (ReactJS & Node)
  • AWS, Kafka, ElasticSearch, Docker, Kubernetes
  • Python (data analysis & ML workflows), ML.NET or equivalent ML frameworks(run by Daly) 
  • Data visualization and BI tooling

What do we offer?

  • 🏠 We are a hybrid company. All team members at Auctane in Austin come into the office Tuesdays, Wednesdays and Thursdays.
  • 🛬Take the reins of your time off with our Flex Time Off policy – because work-life balance should always be in your hands!
  • 🌅 We offer 12 paid holidays for all of our US employees!
  • 💰401k employer matching program – because your future deserves a friendly boost!
  • ⭐️We conduct annual merit reviews to recognize and reward your hard work and achievements.
  • 🏟️ Company events, we work hard, play hard! We do our best every day, even at our regular team-building events.
  • 🏢 Attractive office space in the heart of central Austin, Texas (free drinks, snacks…).
  • 🍽Indulge in weekly catered lunches at our office – a delicious perk to fuel your work.
  • 🏐 Health and Wellness: The well-being of our team is super important to us. Choose from different options that include medical, dental, and vision plans. 
  • 🏋🏾‍♀️Fitness center in the office with Tonal Mirrors, Pelotons, free weights, etc.
  • 🧠Employee Assistance Program. We offer up to 8 free mental health sessions. 
  • 💪🏽We offer gym discounts to help you stay fit and healthy!
  • 📚We offer education reimbursement to all employees, ensuring that you can pursue your educational goals while excelling in your career with us. Invest in your future and let us support your growth every step of the way. 
  • 🔗 Employee Referral Program! We reward employees helping us find top talent!
  • 💜 An inclusive, casual and upbeat work environment. The personality and opinions of each of our team members are important and valid; we aim to offer all employees a safe environment where they can be themselves and thrive.

Additional Position Duties: (The following is a list of what all employees, except those with medical accommodation, may be regularly required to do.)

  • Sit for prolonged periods of time
  • Utilize wrist and hands for a prolonged period of time
  • Walk short distances
  • Stand for short periods
  • Speaking and conversing with others
  • Lift up to 25lbs without assistance up to chest height

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