Senior Software Engineer, Cost Management

The Senior Software Engineer, Cost Management at dbt Labs is tasked with designing and developing back-end services and front-end experiences that enhance cost observability. You'll engage in collaborative efforts to build features, contribute to a multi-tenant distributed architecture, and participate in code reviews, to shape a reliable and scalable engineering culture.

To qualify for the Senior Software Engineer, Cost Management role at dbt Labs, candidates should have a strong foundation in Python with experience in distributed systems, APIs, and Kubernetes. Additionally, familiarity with multi-tenant SaaS systems and modern CI/CD practices is preferred, alongside a growth mindset and eagerness to learn.

Senior Software Engineers at dbt Labs follow best practices including working with Python-based distributed systems, engaging in code reviews, participating in on-call rotations, and using tools like gRPC, Protocol Buffers, and Kafka to ensure system reliability and performance.

At dbt Labs, there is a strong commitment to mentorship and growth. The team focuses on sustainable engineering practices, offers flexible on-call processes, and emphasizes the importance of collective learning through retrospectives and team collaboration to enhance individual skills.

Dbt Labs offers a comprehensive benefits package for its Senior Software Engineers, including unlimited vacation, 401k with a 3% guaranteed contribution, excellent healthcare coverage, paid parental leave, wellness stipends, and home office stipends to promote a healthy work-life balance.

When designing scalable back-end services, I focus on understanding user requirements, choosing the right architecture, and leveraging technologies such as microservices and serverless frameworks. A thorough evaluation of resource management and load testing is critical to guarantee scalability.

I have hands-on experience building and operating distributed systems, primarily utilizing cloud services and Kubernetes. Understanding components such as APIs and managing service orchestration has been key in ensuring system reliability and performance at scale.

I prioritize open communication and active listening. Regular check-ins and collaborative workshops can facilitate better understanding among product, design, and engineering teams, enabling us to brainstorm together efficiently and ensure alignment on project objectives.

I approach code reviews as an opportunity for shared learning. I provide constructive feedback and encourage best practices, ensuring that the code adheres to established standards and that all team members understand the rationale behind decisions made.

A growth mindset is essential as it enables me to approach challenges with curiosity and the desire to learn. I actively seek feedback, embrace new technologies, and reflect on past experiences to improve my problem-solving skills and technical knowledge.

I have implemented CI/CD practices to streamline development workflows, using tools like Jenkins or GitLab CI for automated testing and deployment. This ensures quicker deliveries while maintaining a high standard for code quality and performance.

I have utilized gRPC for creating efficient APIs that facilitate communication between microservices. Protocol Buffers have helped me streamline data serialization for network transmission, enhancing overall performance in my previous projects.

I regularly engage with online courses, webinars, and tech blogs. Participating in industry conferences and communities enables me to glean insights from peers and adjust my practices based on emerging trends and technologies.

To guarantee reliability and performance in a multi-tenant SaaS system, I would focus on robust resource management, implement thorough monitoring to catch performance degradation early, and architect services to scale efficiently according to user demand.

I’m driven by the challenge of turning complex data into actionable insights. The evolving world of analytics engineering excites me as it constantly pushes the boundaries on how we can leverage data to create impactful solutions, ultimately supporting organizations in their growth.