Responsibilities
- Design, build, and maintain data-intensive, high-performance backend services based on an event-driven architecture.
- Develop and maintain APIs and services that power both real-time monitoring features and complex maintenance workflows.
- Work closely with a cross-functional team to ensure our backend applications align with the overall product vision and user experience goals.
- Optimize applications and data processing workflows for performance, focusing on enhancing speed, efficiency, and reliability across various operating environments
- Continuously evolve our systems through refactoring, introducing best practices, and improving maintainability and observability.
- Document architectural decisions and technical implementations clearly for the team and future maintainers.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- 5+ years of backend development experience, with a strong focus developing user-facing products.
- Solid experience in event-driven applications using messaging technologies like Kafka, RabbitMQ, BullMQ or similar.
- Strong programming skills in Go, Python, Node.js, and/or Rust
- Deep understanding of microservices architecture and distributed system design.
- Proficiency in both relational (e.g., PostgreSQL, ClickHouse) and non-relational databases (e.g., ScyllaDB, Cassandra,, MongoDB), with a focus on performance and scalability.
- Experience building mission-critical backend services in high-growth, product-driven environments.
- Fluency in Portuguese.
Bonus points
- Contributions to open-source or personal projects demonstrating backend architecture or data processing expertise.
- Fluency in English.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 5+ years of backend development experience focused on user-facing products
- Experience building event-driven applications using Kafka, RabbitMQ, BullMQ or similar
- Strong programming skills in Go, Python, Node.js, and/or Rust
- Deep understanding of microservices architecture and distributed system design
- Proficiency with relational databases (e.g., PostgreSQL, ClickHouse) and non-relational databases (e.g., ScyllaDB, Cassandra, MongoDB)
- Experience building mission-critical backend services in high-growth, product-driven environments
- Fluency in Portuguese
- Contributions to open-source or personal backend/data-processing projects
- Fluency in English
What We Do
Tractian is a machine intelligence company that offers industrial monitoring systems. Tractian builds streamlined hardware-software solutions to give maintenance technicians and industrial decision-makers comprehensive oversight of their operations. It is democratizing access to sophisticated real-time monitoring and asset operations tools. Tractian's solutions are used in environments that address a combined total of 5% of global industrial output. The company’s broad market reach is evidenced in its customer base from various industries, such as John Deere, Procter & Gamble, Caterpillar, Goodyear, Carrier, Johnson Controls, and Bimbo, the owner of the brands Little Bites and Thomas Bagels. Tractian's customers see a 6-12x ROI with savings of $6,000 per monitored machine annually on average. In a major milestone and a first for the industry, Tractian launched the AI-Assisted Maintenance category in the industrial sector. In this new paradigm, artificial intelligence identifies machine problems and suggests preventive actions to be taken, giving invaluable insight and support to maintenance professionals. It is important to highlight that the intent of Assisted Maintenance is firmly rooted in augmenting maintenance professionals to provide more assertive diagnosis with human-in-the-loop feedback. Tractian's mission is to elevate this category of workers in a highly impactful way. The Assisted Maintenance category will provide unimaginable support for maintenance professionals. By combining shop floor expertise with our technology, maintainers will be able to anticipate and address issues with unprecedented accuracy and speed
