Software Engineer

As a Software Engineer at Union.ai, your primary responsibilities will involve designing large-scale, multi-tenant distributed control planes for ML and data processes, developing Golang-based gRPC services, and building core distributed scheduling systems on Kubernetes. You’ll also be tasked with managing terabytes of data efficiently and implementing high-performance applications that scale rapidly, ensuring a seamless integration for our users.

To qualify for the Software Engineer position at Union.ai, you should have a Bachelor’s Degree in Computer Science or a related field, along with a minimum of 7 years of experience in building scalable distributed services. Proven expertise in strongly-typed languages, excellent communication skills, and the ability to maintain and debug live software systems are also essential for this role.

Union.ai fosters a positive work environment through its focus on inclusivity and collaboration. We offer flexible work schedules, unlimited time off, and generous benefits that promote well-being, including comprehensive health coverage and meaningful equity options. We believe that diverse backgrounds enhance our team dynamics and inspire innovative thinking among our Software Engineers.

In the Software Engineer position at Union.ai, key technologies include Golang and Rust, along with Kubernetes for distributed scheduling systems. You’ll also work with gRPC services to create elegant APIs and utilize advanced algorithms for data management, which are crucial to the position's success.

The team culture at Union.ai for Software Engineers is characterized by high autonomy, innovation, and effective decision-making. We encourage an environment where team members communicate openly and contribute actively to discussions. Interacting with both the internal team and the open-source community is a vital component of our culture, enabling collaboration and knowledge sharing.

When discussing your experience with distributed systems, be specific about the projects you’ve worked on. Highlight your role in designing and implementing infrastructure, focusing on performance and scalability. Mention any technologies you’ve used, such as Kubernetes, and illustrate challenges faced and how you overcame them.

To ensure your code is well-tested and documented, discuss your approach to writing unit tests and integration tests as part of the development process. Emphasize the importance of code reviews and your strategy for maintaining documentation that is clear and easily accessible to your team members.

When answering this question, outline your methodology for debugging, such as using logging effectively, diagnostic tools, and monitoring performance metrics. Provide examples of past incidents and how your strategies enabled swift resolution while ensuring minimal disruption to users.

In your response, discuss your experience with data management tools and methods you employ to handle large datasets, such as data partitioning, using efficient algorithms, and ensuring security measures. Highlight any relevant experience with databases or data orchestration platforms.

Share a specific example where you noticed a repetitive task that could be automated. Explain the tools and technologies you used for automation, the steps you took to implement it, and the resulting efficiencies gained for the team or project.

When answering this question, express your passion for collaborative development and the opportunity to learn from the community. Discuss specific experiences with open-source contributions, how they’ve enhanced your skills, and the satisfaction that comes from creating tools that benefit others.

Discuss your approach to prioritizing tasks, such as utilizing project management tools, setting deadlines, and maintaining clear communication with your team. Provide examples of how these strategies aided in meeting project goals without sacrificing quality.

Explain how you consider the needs of different user profiles when designing APIs, focusing on simplicity, usability, and clear documentation. Give examples of user feedback you’ve incorporated into your API design process to enhance experiences.

In your response, describe a specific complex algorithm you created, highlighting the problem it solved and the outcome of its implementation. Discuss the thought process behind your design choices and any challenges you encountered.

Discuss how you stay informed about software development trends, such as attending workshops, participating in forums, and following key tech influencers. Mention specific resources you rely on to enhance your knowledge and skills in relevant technologies, particularly in AI and distributed systems.