Senior Software Engineer, Endpoint

As a Senior Software Engineer, Endpoint at Tanium, your main responsibilities include designing, developing, and maintaining endpoint services in collaboration with agile development teams. You will work closely with product management and other engineers to ensure the products cater to customer needs. Furthermore, you'll be involved in testing and deploying new features, while emphasizing metrics-driven development for performance.

To qualify for the Senior Software Engineer, Endpoint position at Tanium, you should possess a Bachelor’s degree in Computer Science or a related field, or equivalent experience. Ideally, you’d have 3+ years of relevant industry experience, strong expertise in C and C++, and familiarity with developing applications on Windows, Linux, and Mac environments.

Successful Senior Software Engineers, Endpoint at Tanium should have advanced knowledge of backend services and design, experience with data processing pipelines for real-time data, and a flair for automation tools like git and CI/CD. Strong debugging skills and the ability to balance rapid development with code maintainability are also crucial for success in this role.

Yes, prior experience with metrics-driven development is crucial for the Senior Software Engineer, Endpoint role at Tanium. This experience allows you to create impactful solutions while monitoring and improving the system's performance using tools like Prometheus, ensuring the products are both scalable and observably efficient.

A Senior Software Engineer, Endpoint at Tanium can expect a collaborative and inclusive work environment that emphasizes diversity and mutual respect. Tanium fosters a culture where team members can innovate and express unique perspectives, significantly enhancing the way we solve complex IT challenges together.

When designing scalable backend services, I focus on leveraging components that can efficiently manage increasing loads, such as microservices architecture. I emphasize the use of load balancers, and caching techniques, along with rigorous performance testing to ensure that the services perform reliably even under high traffic.

My experience with cross-platform development includes creating applications that function seamlessly on Windows, Linux, and Mac. I ensure platform compatibility by utilizing frameworks like .NET Core that allow for ease of development across multiple operating systems without sacrificing performance.

My strategy for debugging complex production issues involves systematic logging, real-time monitoring, and isolation of problem areas to identify the root cause. Utilizing tools like Prometheus to track metrics allows me to make data-driven decisions while reproducing issues in a controlled environment can help me address them without impacting end-users.

I prioritize long-term maintainability by adhering to best practices in coding standards and employing design patterns that promote reusability. Writing unit tests and documentation throughout the development process further solidifies maintainability, allowing future developers to understand and improve upon the codebase effectively.

Customer feedback plays a pivotal role in my development process. I actively engage with product management and users to gather insights throughout the design and testing phases. This collaborative approach allows me to adapt solutions based on real-world needs, ensuring the final product aligns closely with user expectations.

I stay updated on modern software engineering practices by attending industry conferences, participating in workshops, and following relevant tech blogs and forums. Engaging with the developer community through platforms like GitHub also allows me to learn from others' experiences and contribute to open-source projects.

I find that using a combination of unit tests, integration tests, and end-to-end testing across CI/CD pipelines is the most effective automated testing strategy. This approach ensures that all components are functioning correctly, preventing regressions while allowing for rapid development cycles.

To assess the performance of an API, I would use a combination of load testing tools to simulate high traffic and monitoring insights to analyze response times and error rates. Benchmarking the API against predefined performance metrics helps in identifying bottlenecks and opportunities for optimization.

I prefer using Git for version control due to its robust branching capabilities and easy collaboration features. Git allows multiple developers to work on code simultaneously, manage changes efficiently, and maintain a comprehensive history, which is crucial when debugging or adding features to the project.

In a previous project, I faced challenges with integrating several third-party APIs, leading to performance lags. To resolve this, I refactored the integration points, employed asynchronous processing, and optimized response handling. These changes greatly improved the overall application performance and user experience.