Senior Backend Software Engineer - IoT Applications
Team: Data Engineering
Location: São Paulo, SP
Commitment: Full-time
Workplace Type: remote
Responsibilities
- Design, develop, and maintain high-performance data-intensive applications using Go, Python and/or Rust, focusing on event-driven architectures.
- Implement and optimize queue mechanisms and tools to manage high-volume data streams effectively.
- Create tools so internal teams can access and better understand sensor data and how the devices perform on the field.
- 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 degree in Engineering, Computer Science, Information Technology, or related fields.
- Proven experience as a Software Developer/Software Engineer or similar role, with either Internet of Things expertise or experience with large amounts of data.
- Technical proficiency with programming languages such as Go and Python and experience with event-driven architecture and queue tools like Kafka, RabbitMQ, or similar.
- Proficient understanding of distributed systems, data structures, and advanced algorithms.
- Good knowledge of database technologies (Postgres, Scylla, Mongo, ClickHouse, Redis).Familiarity with security best practices in software integration.
- Excellent problem-solving skills and the ability to work well under strict deadlines.
- Experience in fast-paced environments and 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.
Bonus Points
- Fluent in EnglishExperience with Low-Level Coding (C or C++ Firmware Development)
- Experience with IoT HardwareExperience with cloud computing platforms (AWS, Azure, GCP).
- Proficiency in data structures and algorithms.
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