Application Engineering, Back-end

As an Application Engineer, Back-end at Meter, you will be responsible for enhancing our core networking product and improving the Dashboard's observability and alerting capabilities. Your role will involve developing CRUD-style features using GraphQL APIs, working with relational databases, and collaborating with teams across the company to identify networking features that bring real value to our customers.

Candidates for the Application Engineer, Back-end position at Meter should be proficient in Go programming language and have experience with GraphQL APIs and relational databases. Familiarity with time-series databases and pub/sub infrastructures like Kafka is a plus. Strong problem-solving skills and a collaborative spirit are essential for success in this role.

Working as an Application Engineer, Back-end at Meter is unique because you'll be directly involved in shaping the future of networking solutions. You’ll have the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams, ensuring that our products meet the needs of our clients while contributing to Meter's larger mission of transforming internet infrastructure into a utility.

As an Application Engineer, Back-end at Meter, your contributions are vital to our mission of creating seamless, efficient networking solutions. You will help enhance the functionality of our Dashboard software, which is crucial for our customers to manage their networks effectively. This role directly influences our ambitious growth as we deploy our solutions nationwide.

At Meter, our team culture is built on collaboration, innovation, and inclusivity. We value transparent communication and have a strong emphasis on professional development. As an Application Engineer, Back-end, you’ll work alongside talented individuals who are driven to make a significant impact, fostering an environment where your ideas and contributions are encouraged.

When discussing your experience with Go, focus on specific projects where you utilized Go. Emphasize your familiarity with its concurrency features and how you used it to build scalable applications. Mention any libraries or frameworks you’ve worked with and be ready to discuss challenges you faced while coding in Go.

Answer by explaining your process, which should include defining the data schema, setting up resolvers, and ensuring efficient querying. Discuss any REST vs GraphQL considerations you've made and how you optimize performance. Give examples of projects where you successfully implemented CRUD operations with GraphQL APIs.

Share the methods you employ, such as using debugging tools, logging, and writing tests. Emphasize the importance of understanding the entire system and considering edge cases. Provide examples of complex bugs you’ve encountered and how your debugging strategies led to effective resolutions.

Discuss your practices around code reviews, unit testing, and adherence to best practices like SOLID principles. Highlight tools like linters or CI/CD pipelines you’ve used to enforce quality standards. Also, mention how you document your code to aid maintainability.

When answering, mention specific relational databases you’ve worked with (like PostgreSQL or MySQL). Talk about your experience in designing schemas, optimizing queries, or working with ORMs. Provide an example of a project where you applied these skills to meet data requirements.

If you have experience, mention the specific time-series databases you’ve used, such as InfluxDB or TimescaleDB. Explain how you implemented them in projects and the advantages they offered for handling time-related data. Share insights into the types of metrics or data sets you have worked with.

Discuss frameworks you use, such as Agile or Scrum, for task prioritization. Talk about how you balance urgent bug fixes with longer-term feature development, and share examples of when you've had to pivot quickly on priorities while maintaining team communication.

Highlight your interpersonal skills and experience in collaborating with product managers, sales, and support teams. Talk about how you gather feedback and translate it into technical requirements, and share examples of successful projects that resulted from effective teamwork.

Discuss the importance of observability in production environments and how it can help identify problems before they impact users. Share any experience you have with implementing alerting systems and metrics tracking, and how you ensure that the alerts are meaningful and actionable.

Express your admiration for Meter's mission and values, highlighting specific aspects such as their focus on vertical integration and the ambitious goals within the networking space. Relate your expertise to Meter's objectives and share your excitement at the prospect of contributing to transformative solutions in the industry.