Software Engineer III - Scala - job 1 of 3

As a Software Engineer III at Signify, your core responsibilities will include designing, developing, and maintaining applications while following established programming best practices. You'll also develop and optimize SQL-based database solutions, engage in code reviews and architecture discussions, ensure code quality and security, and troubleshoot production issues to maintain system performance.

To qualify for the Software Engineer III position at Signify, you should have a minimum of 3 years of professional engineering experience, with a strong proficiency in Scala. Additionally, experience with PostgreSQL and Redis, suitable communication skills in English, and hands-on knowledge of Docker, Kubernetes, Ansible, Terraform, and AWS cloud services are essential.

Yes, Signify offers remote work options for the Software Engineer III position, making it accessible to candidates based in the EU. This flexibility allows you to contribute to innovative projects from the comfort of your own home while collaborating with a dynamic team.

A Software Engineer III at Signify should be well-versed in technologies such as Scala, PostgreSQL and Redis for database solutions, as well as Docker and Kubernetes for container orchestration. Familiarity with infrastructure automation tools like Ansible and Terraform, along with cloud services like AWS, is also crucial.

While not mandatory, having knowledge of Rust or Python can be a definite advantage for the Software Engineer III position at Signify. It enhances your skill set and increases your adaptability in developing high-performance systems within the team.

To ensure code quality, I prioritize writing clean, maintainable code and participate actively in code reviews. I also adopt test-driven development (TDD) practices and utilize static analysis tools, ensuring that my code adheres to accepted standards and is thoroughly tested before deployment.

In my experience with Scala, I've utilized its powerful functional programming features to build scalable and robust applications. Its concise syntax promotes writing clean code, which is crucial for managing large codebases and ensuring efficient collaboration within teams.

My approach to database design involves understanding the application’s needs and modeling the data accordingly. I prioritize normalization and indexing to optimize SQL queries, and I'm always keen to monitor performance metrics and make adjustments based on real-time user feedback.

When faced with production issues, I follow a structured troubleshooting process: I analyze system logs, reproduce the errors in a test environment, and apply fixes methodically. Keeping open communication with team members during this process is also key to quickly resolving issues and maintaining system stability.

Collaboration is fundamental in my role as a Software Engineer III. I actively engage in team discussions for architectural design, share insights during code reviews, and value feedback from peers. This collaborative spirit not only enhances project outcomes but also fosters a positive team culture.

I've extensively used Docker for creating and managing containerized applications, which allows for consistent development and deployment environments. With Kubernetes, I've orchestrated those containers, enabling auto-scaling and efficient resource management as part of a CI/CD pipeline.

Certainly! One complex problem involved optimizing data storage costs. I designed a solution using AWS S3 for storage, AWS Lambda for on-the-fly data processing, and AWS RDS for relational data queries. This architecture significantly reduced costs and improved performance across the application.

I stay updated by following key industry publications, participating in online communities, attending webinars, and engaging in local tech meetups. Continuous learning is vital, so I also dedicate time to exploring new technologies and best practices through personal projects.

I have practical experience with both Ansible and Terraform for infrastructure automation. Ansible has helped me configure and manage systems efficiently, while Terraform has been invaluable for provisioning and managing cloud infrastructure, allowing for reproducibility and easier scaling.

My motivation stems from the gaming industry's vibrant culture and its potential for innovation. Being part of a team that contributes to seamless brand integrations in games excites me, as I thrive on creating engaging user experiences and pushing the boundaries of technology.