Elixir Engineer

As an Elixir Engineer at RYZ Labs, your responsibilities include driving new development initiatives using Elixir and Phoenix, taking over maintenance tasks from the current CTO, improving system performance on data-intensive applications, developing personality fit assessments and profile matching systems, and collaborating on AI/ML-driven projects. Your work will leverage modern technologies to create scalable and resilient applications.

To qualify for the Elixir Engineer position at RYZ Labs, you should have at least 3 years of experience, proficiency in Elixir/Phoenix, a strong understanding of SQL and database concepts, and experience handling large datasets. Familiarity with Ruby and basic knowledge of Elm for frontend development are also desirable. Plus, exposure to Kubernetes and container orchestration is a nice addition.

Elixir Engineers at RYZ Labs work remotely in a flexible environment designed for autonomy and efficiency. Our teams are distributed throughout the US and Latam, using cutting-edge cloud technologies. This setup encourages collaboration and innovation, allowing you to lead projects, own your development steps, and engage with talented professionals across various sectors.

While prior experience with AI/ML is not a strict requirement for the Elixir Engineer role at RYZ Labs, familiarity with AI/ML systems and implementation strategies will be an asset. You’ll have the opportunity to collaborate on projects that integrate these technologies, so having a foundational understanding can enhance your contributions.

At RYZ Labs, the culture is built around learning and growth. As an Elixir Engineer, you will face challenging projects that directly contribute to your professional development. The diverse environment encourages you to collaborate with experts, share insights, and constantly improve your skills, ensuring your journey at RYZ Labs is one of continuous growth and opportunity.

In Elixir projects, maintaining code quality involves leveraging built-in testing frameworks like ExUnit, adhering to coding standards, and conducting code reviews with peers. It’s also important to write clear documentation and utilize static analysis tools to catch potential issues early.

When discussing a challenging problem, focus on a specific scenario where you used Elixir's functional programming features to optimize an application’s performance. Highlight how you approached the problem, the tools you used, and the successful outcome, emphasizing your analytical thinking.

Discuss your experience working with databases in previous Elixir projects. Explain how you've implemented Ecto for database interactions, your understanding of SQL queries, and any optimizations you performed to improve data retrieval and manipulation efficiency.

To address performance issues in data-intensive applications, you'd analyze system metrics, identify bottlenecks, and optimize the codebase. Leveraging tools like telemetry and performance monitoring can help you diagnose problems, while implementing caching strategies and SQL optimizations can enhance overall system response.

Share any practical experience you have with deploying and managing containerized applications using Kubernetes. Talk about how you orchestrated your deployments, managed scaling, and addressed any challenges that arose during setup or maintenance.

When integrating AI/ML into projects, it's crucial to understand the problem domain and identify where these technologies can provide value. Discuss how you collaborated with data scientists, utilized libraries or frameworks, and ensured seamless integration with existing systems.

Staying updated with Elixir and industry trends involves participating in community forums, attending conferences, and following thought leaders on platforms like GitHub and Twitter. Additionally, contributing to open-source projects can solidify your skills and expose you to new techniques.

When explaining coding decisions to non-technical team members, use simple language and relate concepts to their context. Visual aids, analogies, and focusing on the impact of your decisions on user experience can bridge the gap between technical jargon and their understanding.

In your response, you should mention specific tools like New Relic, Prometheus, or Grafana, explaining how you utilized these tools to monitor system performance metrics and implement changes that improved application response times or reduced downtime.

When faced with tight deadlines, prioritization involves assessing task urgency and impact. You might adopt methodologies like Agile or Kanban to manage tasks effectively, ensuring that you focus on delivering the most impactful features while communicating proactively with your team.