Software Engineer

As a Software Engineer at Pubstack, you'll take on a variety of responsibilities. Your main tasks include developing and maintaining scalable software solutions that back our Ad Management platform, using technologies like Typescript and Rust to ensure high performance. You will also engage with the product team using the Shape Up methodology, ensuring that both the technical and functional aspects of our stack align with our vision. Code reviews and automated testing will be key parts of your role, as we prioritize quality and continuous improvement.

To be considered for the Software Engineer position at Pubstack, candidates should have at least 5 years of experience post-diploma. A strong proficiency in Typescript is essential, along with intermediate knowledge of Rust, Golang, React, Node.js, MongoDB, and cloud services. Fluency in both French and English is required to thrive in our collaborative environment. We appreciate candidates with a proactive mindset and effective communication skills!

Yes, at Pubstack, we understand the importance of work-life balance, and therefore offer flexible work options. You can choose to work from our Paris office or remotely, allowing you to create a working environment that best suits your individual needs. This flexibility not only enhances productivity but also contributes to our vibrant company culture.

Pubstack fosters a vibrant and innovative culture for Software Engineers! We believe in genuine collaboration, questioning norms, and continuously seeking improvement. As part of our close-knit team, you'll be encouraged to express ideas and engage in problem-solving discussions, all while enjoying a light-hearted atmosphere. Team-building events and a spirit of entrepreneurship enhance our workspace, making it an exciting place to grow and develop your career.

Software Engineers at Pubstack enjoy a wide range of benefits that cater to both professional and personal needs. Alongside a competitive salary based on experience, employees receive meal vouchers, comprehensive health insurance, and a monthly remote allowance. We also offer generous paid time off, including 25 days minimum and RTT days, plus gift cards and regular team-building events. Our commitment to your well-being ensures you can thrive both at work and outside of it!

When coding in Typescript for large-scale projects, I prioritize thorough planning and design. It’s crucial to break down the project into manageable components and utilize interfaces to maintain clear contracts within the code. I also emphasize code testing, including unit tests, to capture potential issues early on. Continuous integration practices enhance reliability during the development process.

In collaborating with product teams, I advocate for open communication and transparency. I actively engage in brainstorming sessions to share ideas and feedback, utilizing methodologies like Shape Up to align our technical capabilities with product vision. Regular updates and progress reviews help keep all parties informed and focused on our objectives.

Automated testing is crucial in my development process. I incorporate testing frameworks early in the coding phase to create a safety net for newly developed features. By defining clear test cases and integrating continuous integration tools, I ensure that every deployment is as reliable as possible. This proactive approach helps catch potential failures before they reach production.

During code reviews, I focus not only on adherence to coding standards but also on understanding the logic behind implementations. I view code reviews as a collaborative learning opportunity, and I encourage discussion on improvements. Key areas of focus include code readability, maintainability, performance optimizations, and the implementation of best practices.

When optimizing code for performance, I start by profiling the application to identify bottlenecks. I analyze algorithms for efficiency and consider caching strategies to reduce repeated calculations. It's also essential to minimize resource load, so I pay attention to network requests, ensuring that the code is as lean as possible while meeting functional requirements.

I've found Rust to be an excellent choice for performance-critical applications due to its memory safety guarantees without sacrificing speed. In my experience, leveraging Rust allows me to write reliable, concurrent back-end services that efficiently handle large-scale data processing. The strong type system also helps catch errors at compile-time, further enhancing code reliability.

I utilize several debugging tools, including browser developer tools for front-end issues and integrated debugging features in IDEs for back-end code. Additionally, logging frameworks are invaluable for tracking application behavior in production and analyzing any issues post-deployment. Effective debugging is vital to quickly resolving problems and maintaining application quality.

Effective communication is crucial in a fast-paced environment. I prioritize clarity by utilizing project management tools to keep everyone aligned on tasks and deadlines. Regular stand-up meetings allow for quick updates on progress and roadblocks, fostering an environment of collaboration. I also encourage team members to share feedback openly so we can continuously improve our workflow.

I'm particularly excited about advancements in machine learning and AI, especially their applications in optimizing digital advertising. Tools and frameworks that allow for real-time data processing and decision-making can significantly enhance user experience and revenue generation. Staying abreast of these technologies ensures that I can bring innovative solutions to the table.

Certainly! In a previous project, we faced significant performance degradation with our microservices under high load. I led a refactoring effort that involved breaking down monolithic services into more manageable and scalable endpoints, integrating load balancers to distribute requests. This not only improved performance but also enhanced system resilience, allowing us to efficiently handle traffic spikes.