Senior Software Engineer

3 days ago


Austin, Texas, United States Terminal Industries Full time
About Us

Terminal Industries is a cutting-edge technology company that specializes in developing innovative software solutions for the logistics industry. Our mission is to revolutionize the way goods are transported and managed, leveraging the power of artificial intelligence and machine learning.

Our platform provides warehouse operators with the intelligence needed to optimize their usage of trucks, trailers, chassis, containers, and personnel. We aim to address industry-wide pain points, including compliance, manual processes, equipment location, phantom costs, and labor inefficiencies.

Our world-class vision engineering team has built an engine that can process the movement of trucks and containers in real-time. We're now looking for a talented Senior Software Engineer to join our team and help us unlock the potential of this engine by building SaaS applications that leverage the vision engine to transform the logistics industry.

Responsibilities
  • Design, develop, and maintain scalable, secure, and efficient full-stack applications that leverage our computer vision engine to deliver transformative solutions to our customers.
  • Work closely with cross-functional teams, including product managers, designers, and data scientists, to gather requirements and translate them into robust, maintainable code.
  • Implement features across the entire software stack, including backend services, APIs, and frontend components, ensuring seamless integration and functionality.
  • Advocate for and adhere to best practices in software development, including code reviews, comprehensive documentation, and adherence to coding standards.
  • Implement and maintain observability measures, including metrics, logs, and traces, to monitor the health and performance of applications and systems.
  • Take ownership of production quality and reliability, proactively identifying and resolving issues to ensure a high level of system stability and performance.
  • Develop and execute automated tests (unit, integration, and end-to-end) to ensure high code quality and system reliability.
  • Stay abreast of industry trends and emerging technologies, and integrate relevant advancements into our tech stack to continually enhance application capabilities.
Requirements
  • Must be based in Austin, TX, or willing to relocate.
  • Bachelor's or higher degree in Computer Science, Engineering, or a related field. Advanced degrees or relevant certifications are a plus.
  • Minimum of 8 years of experience as a full-stack software engineer, with a strong background in SaaS application development.
  • Proven track record in designing and building scalable, high-performance applications.
  • Extensive experience with Golang for backend development, including designing and implementing high-performance APIs and services.
  • In-depth experience with AWS services, such as ECS, Lambda, API Gateway, S3, SQS, Kinesis, and DynamoDB. Ability to leverage AWS for scalable and reliable application deployment.
  • Solid understanding of event-driven architectures and technologies (e.g., Kafka, SQS, Kinesis). Experience in implementing and managing event-driven systems.
  • Proven ability to implement observability best practices, including setting up and managing metrics, logs, and tracing tools to monitor and troubleshoot system performance.
  • Extensive experience with automated testing methodologies, including unit, integration, and end-to-end tests. Strong commitment to writing well-tested, reliable code.
  • Demonstrated passion for operational excellence with a focus on taking ownership of production systems, ensuring high quality, and addressing production issues proactively.
  • Knowledge of containerization (Docker) and orchestration (Kubernetes) tools. Experience managing containerized applications in production environments.
  • Experience with CI/CD pipelines and related tools (e.g., Jenkins, GitHub Actions) for automating the build, test, and deployment processes.
  • Excellent communication skills, with the ability to articulate complex technical concepts clearly and work effectively within a collaborative team environment.


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