SDE (Automation & Quality Focus)

Drivetrain is on a mission to empower businesses to make better decisions. Our financial planning & decision-making platform helps companies scale and achieve their targets predictably.

Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 by a couple of ex-Googlers, Drivetrain is a fast-growing company on a trajectory for success with backing from leading venture capital firms.

💜 Remote-friendly: Drivetrain brings together the best and the brightest, no matter where they are and provides them a great degree of autonomy. We trust our people.

🗣️ Open & transparent: We know that when our creators have access to all the information they need, their best work will emerge.

👏 Idea-friendly: We provide an environment to explore new ideas, to take risks, to make mistakes, and to learn, so you can succeed. Anyone in the company can come up with great ideas and become a catalyst for positive change. We let the best ideas win.

👥 Customer-centric: We follow a product-led growth strategy, continuously learning from our customers and collaborating to build the amazing software that Drivetrain is.

Our mission is to deliver exceptional products and services while maintaining a relentless focus on quality and efficiency. We are looking for a highly skilled Backend Engineer who is passionate about clean code, optimal solutions, and building robust automation frameworks to join our team.

As a Backend Engineer at our company, you will play a critical role in enhancing our engineering productivity by developing and maintaining high-quality automation frameworks. You will be responsible for breaking code, identifying bugs, and implementing solutions that ensure our systems run smoothly and efficiently.

Design and Develop Automation Frameworks: Create and maintain comprehensive automation frameworks to streamline our development processes and enhance productivity.

Bug Hunting and Fixing: Identify, diagnose, and resolve complex bugs to ensure the reliability and stability of our systems.

Clean Code Advocate: Promote best practices in coding, ensuring that all code is clean, well-documented, and maintainable.

Optimize Performance: Develop optimal solutions for backend processes, focusing on performance, scalability, and efficiency.

Collaborate with Cross-Functional Teams: Work closely with frontend developers, QA engineers, and product managers to deliver high-quality products.

Continuous Improvement: Stay updated with the latest industry trends and technologies to continuously improve our development practices and automation tools.

Documentation - Test Plans, standard operating procedures, Cookbooks, etc.

Strong Coding Skills: Proficiency in backend programming languages such as Python, Java, C#, Ruby, or Go.

Web Frameworks: Experience with backend web frameworks like Django, Flask, Spring Boot, Ruby on Rails, or Node.js.

API Development: Expertise in designing and developing RESTful APIs and working with GraphQL.

Database Management: Strong understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis).

Data Structures and Algorithms: Excellent understanding and practical application of data structures and algorithms.

Automation Expertise: Experience in building and maintaining automation frameworks and tools.

Problem Solving: Exceptional problem-solving skills with a keen eye for detail and a master bug hunter mentality.

Clean Code Principles: A strong advocate for clean code principles and best practices in software development.

Performance Optimization: Proven track record in optimizing backend systems for performance and scalability.

Collaborative Spirit: Ability to work effectively in a collaborative, fast-paced environment.

Experience with CI/CD Pipelines: Familiarity with continuous integration and continuous deployment practices and tools.

Cloud Services: Experience with cloud platforms such as AWS, GCP, or Azure.

Test-Driven Development (TDD): Experience with TDD and other testing methodologies.

Microservices Architecture: Knowledge of microservices architecture and containerization technologies such as Docker and Kubernetes.

Monitoring and Logging: Experience with monitoring and logging tools like Prometheus, Grafana, ELK Stack, or Splunk.