Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., Over 5 years of experience in software development focused on data-intensive applications., Expertise in Go and/or C++ programming languages., Proven experience with event-driven architecture and queue tools like Kafka or RabbitMQ..

Key responsabilities:

Design, develop, and maintain high-performance data-intensive applications using Go and/or C++.

Implement and optimize queue mechanisms for managing high-volume data streams.

Collaborate with cross-functional teams for seamless integration of event-driven systems.

Identify and resolve performance bottlenecks in data-intensive applications.

Job description

Engineering at TRACTIAN

The Engineering team at TRACTIAN is at the forefront of developing cutting-edge infrastructure, technologies, and products to harness the power of IoT data. Our team of talented Engineers collaborates to build robust systems, innovative solutions, and scalable platforms that drive Tractian's success. We are instrumental in shaping the company's decision-making process, optimizing operational efficiency, and delivering exceptional experiences to our consumers.

What you'll do

As a Senior Software Engineer focusing on Data Intensive Applications, your primary responsibility will be to develop and enhance software solutions capable of managing and processing large data volumes in an event-driven architecture. Your daily activities will involve designing, building, and maintaining robust applications using Go and/or C++.

Responsibilities

Design, develop, and maintain high-performance data-intensive applications using Go and/or C++, focusing on event-driven architectures.

Implement and optimize queue mechanisms and tools to manage high-volume data streams effectively.

Collaborate with cross-functional teams to ensure seamless integration of event-driven systems within the larger application infrastructure.

Optimize data processing workflows for efficiency and reliability in handling large datasets.

Identify and resolve performance bottlenecks in data-intensive applications.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

+5 years of experience in software development with a strong focus on data-intensive applications.

Expertise in Go and/or C++ programming languages.

Proven experience with event-driven architecture and queue tools like Kafka, RabbitMQ, or similar.

Proficient understanding of distributed systems, data structures, and advanced algorithms.