Software Engineer - Vision Engine Runtime

As a Software Engineer - Vision Engine Runtime at Terminal, your responsibilities will include architecting and developing a scalable runtime environment for our computer vision engine, designing systems for efficient event routing, and implementing auto-scaling solutions. You'll collaborate with cross-functional teams to translate business requirements into effective engineering solutions while promoting best practices in software development and ensuring the quality of production systems.

To qualify for the Software Engineer - Vision Engine Runtime position at Terminal, you should have a minimum of 5 years of experience in building distributed systems, particularly involving real-time data processing. Expertise in AWS services, proficiency in Golang or Python, experience with event-driven architectures, and knowledge of automated testing frameworks are essential. Excellent communication skills and the ability to lead challenging engineering tasks will also set you apart.

The Software Engineer - Vision Engine Runtime plays a vital role in Terminal's mission by developing and optimally managing the technology that powers our computer vision engine. This position is crucial in ensuring that our platform operates at scale, directly affecting how effectively we optimize logistics processes, improve efficiency, and address industry-wide challenges within the supply chain.

At Terminal, you can expect a dynamic and collaborative work environment where innovation is encouraged. You will be part of a passionate team committed to technological excellence and operational improvements. We pride ourselves on fostering a culture of learning, providing competitive salaries, comprehensive benefits, and opportunities for professional growth while working on cutting-edge projects that impact the logistics industry.

A Software Engineer - Vision Engine Runtime at Terminal should have a strong background in AWS technologies, especially EC2, ECS, and S3, as well as experience in Golang or Python for backend development. Familiarity with event-driven architectures and tools like Kafka, Docker for containerization, and Kubernetes for orchestration is also essential. Knowledge of automated testing practices and observability measures will help in maintaining system quality.

When answering this question, highlight your specific experiences with AWS services you've used in past projects. Focus on services like EC2, Lambda, and S3, and explain how you applied them to build scalable and secure systems. Providing examples of how you managed infrastructure and utilized these services to optimize performance can show your expertise and problem-solving abilities.

Discuss your approach by outlining the key principles you follow for designing scalable systems, such as identifying bottlenecks, choosing the right architecture, and implementing load balancing techniques. Highlight real projects where you successfully managed high throughput and low latency in your solutions, demonstrating your capacity to meet real-time processing demands.

Be prepared to explain your understanding of event-driven architecture and its significance in building responsive systems. Provide details about any projects where you implemented this architecture using tools like Kafka or SQS, explaining how it improved system performance and agility. Show how event-driven models can provide resilience and scalability.

Discuss the practices you employ to maintain high code quality, such as implementing code reviews, writing unit and integration tests, and adhering to coding standards. Share examples from your past experience that demonstrate your commitment to producing maintainable and efficient code, emphasizing the positive outcomes of these practices.

Provide a specific instance of a complex bug or issue you faced in a previous project. Explain the steps you took to diagnose the problem, the solutions you explored, and what ultimately resolved the issue. This not only assesses your problem-solving skills but also showcases your resilience and determination to maintain operational excellence.

When discussing automated testing, mention the various testing frameworks you’ve used and highlight specific strategies that worked for you, such as unit testing, integration testing, and end-to-end testing. Provide examples of how implementing these testing strategies improved code reliability and facilitated quicker feedback during the development cycle.

Explain your methods for keeping up with the fast-paced tech industry. This could include following key influencers on social media, attending conferences, and participating in online courses or tech meetups. Share any relevant blogs, podcasts, or publications you regularly read to stay informed and how this knowledge helps you innovate within your role.

Clearly outline your experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Discuss specific projects where you utilized these technologies to manage containers in production environments, emphasizing how these tools contributed to scalability, deployment speed, and overall performance.

Share your strategy for task prioritization, such as using Agile methodologies or tools like JIRA for tracking progress. Discuss how you assess project requirements, manage deadlines, and collaborate with team members to ensure successful project delivery while maintaining high quality standards.

In your response, discuss traits such as problem-solving ability, communication skills, adaptability, and a strong desire for continuous learning. Relate your personal experiences and how these characteristics have helped you succeed in your previous roles. This shows your understanding of the profession and highlights your suitability for the position.