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Senior Software Engineer - Data Intensive Applications

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Brazil

TRACTIAN 𝗕𝗥 Scaleup https://tractian.com/

51 - 200 Employees

See more TRACTIAN 𝗕𝗥 offers

Job description

Why join us

TRACTIAN is reimagining industrial systems so that every frontline maintenance worker can realize their full potential. We're building software and hardware in one place—disrupting long-standing institutions with products and experiences that better serve the ambitions of our clients.

Working at TRACTIAN allows you to push your limits, challenge the status quo and collaborate with some of the brightest minds in the industry. Our team members have the autonomy needed to accomplish challenging goals. We are a growth-stage startup and you will work directly with the founders, helping to define the vision, product and user experience. **

Engineering at TRACTIAN**

The Data team develops infrastructure, statistical models, and products using IoT data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Tractian’s decision-making process, in the efficiency of our operations and insights, and in the industry-leading experience we provide 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 Python, Go, and C++. **

Responsibilities**

Design, develop, and maintain high-performance data-intensive applications using Python, Go, and 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 Python, Go, and 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.