
51 - 200 employees
🏢 Enterprise
⚡ Energy
Enterprise • Industrial • Energy
TRACTIAN is a company specializing in Asset Performance Management, providing industry-leading solutions to ensure zero downtime for manufacturing plants. With products like Smart Trac Condition Monitoring & Auto Diagnosis and TracOS™ Maintenance Management Software, TRACTIAN enables plant managers to predict failures, avoid downtime, and manage assets efficiently. Their solutions also focus on energy efficiency, transforming energy consumption data into profit. TRACTIAN collaborates with industries such as automotive, mining, oil and gas, and pharmaceuticals, offering advanced insights and AI-powered diagnostics to enhance machine reliability and operational efficiency.
🕒 April 3
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
🏢 Enterprise
⚡ Energy
Enterprise • Industrial • Energy
TRACTIAN is a company specializing in Asset Performance Management, providing industry-leading solutions to ensure zero downtime for manufacturing plants. With products like Smart Trac Condition Monitoring & Auto Diagnosis and TracOS™ Maintenance Management Software, TRACTIAN enables plant managers to predict failures, avoid downtime, and manage assets efficiently. Their solutions also focus on energy efficiency, transforming energy consumption data into profit. TRACTIAN collaborates with industries such as automotive, mining, oil and gas, and pharmaceuticals, offering advanced insights and AI-powered diagnostics to enhance machine reliability and operational efficiency.
• Design, develop, and maintain high-performance, data-intensive applications using Go, Python, and/or Rust, focusing on event-driven architectures. • Implement and optimize queuing mechanisms and tools to effectively manage high-volume data streams. • Build tools to enable internal teams to access and better understand sensor data and device performance in the field. • Collaborate with cross-functional teams to ensure seamless integration of event-driven systems within the broader application infrastructure. • Optimize data processing workflows for efficiency and reliability when handling large datasets. • Identify and resolve performance bottlenecks in data-intensive applications.
• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field. • Proven experience as a Software Developer/Software Engineer or similar role, with IoT expertise or experience handling large volumes of data. • Technical proficiency in programming languages such as Go and Python, and experience with event-driven architectures and queuing tools like Kafka, RabbitMQ, or similar. • Strong understanding of distributed systems, data structures, and advanced algorithms. • Solid knowledge of database technologies (Postgres, Scylla, MongoDB, ClickHouse, Redis) and familiarity with security best practices in software integration. • Excellent problem-solving skills and the ability to perform under tight deadlines. • Experience working in fast-paced environments and on critical systems with very high SLA requirements. • Effective communication skills for collaborating with cross-functional teams and stakeholders. • Experience with project documentation and maintenance. • Advanced proficiency in English.
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