Ingénieur logiciel principal / Senior Software Engineer

Trane Italia•Montreal, QC

44d•Hybrid

About The Position

Trane Technologies is a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes, and transportation, with a mission to prioritize the planet. Sustainability is integral to their business operations. They are seeking a Senior Software Engineer to join their Cloud Building Management System (CBMS) team. This role focuses on designing, developing, and maintaining scalable backend systems that power intelligent building automation. The ideal candidate will possess deep expertise in Python, microservices architecture, and cloud-native development, with a strong foundation in AWS or GCP services and architectural patterns. This position offers a clear path to a technical architect role for engineers who demonstrate strong systems thinking and the ability to influence architectural decisions across the platform. Experience with building automation, IoT applications, or HVAC systems is highly valued, as the role involves developing solutions to optimize energy efficiency and building performance at scale.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
7+ years of experience in backend development with Python
Strong understanding of microservices architecture, distributed systems, and REST-based APIs
Hands-on experience with AWS or GCP cloud services (e.g., Lambda, ECS, S3, Cloud Functions, Pub/Sub, BigQuery)
Working knowledge of cloud architectural patterns including serverless, event-driven, and container-based deployments
Proficiency with NoSQL (Cassandra) and relational (PostgreSQL) databases
Experience with message brokers (Kafka) and caching solutions (Redis)
Experience with CI/CD pipelines and infrastructure-as-code practices
Excellent problem-solving skills with attention to scalability, security, and operational concerns
Strong communication skills with the ability to articulate technical concepts to diverse audiences
Self-motivated with the ability to work independently in a remote or hybrid environment
French-English bilingualism is required. In addition to fluency in French, successful candidates must have full professional proficiency in English in order to support and collaborate with English-speaking clients, colleagues and/or various stakeholders.

Nice To Haves

Experience with building automation systems, HVAC controls, or smart building technologies
Familiarity with IoT protocols (BACnet, Modbus, MQTT) and edge computing patterns
Experience with multi-cloud or hybrid cloud architectures
Knowledge of containerization (Docker) and orchestration (Kubernetes, ECS)
Experience with observability tools (Datadog, Prometheus, Grafana)
Background in energy management, sustainability, or building performance optimization
Prior experience mentoring engineers or leading technical initiatives
AWS or GCP professional certifications

Responsibilities

Design and develop high-performance, cloud-native backend systems using Python and microservices architecture
Evaluate and recommend cloud services and architectural patterns (AWS/GCP) that align with scalability, reliability, and cost objectives
Create and maintain architectural documentation, including system diagrams, API specifications, and design decision records
Lead technical design reviews and contribute to the evolution of our platform architecture
Implement RESTful APIs and event-driven architectures for seamless communication between services
Develop and maintain data pipelines using Kafka for real-time streaming and Redis for caching
Work with NoSQL (Cassandra) and relational (PostgreSQL) databases to build robust data persistence layers
Integrate with IoT devices and building automation protocols to collect and process telemetry data
Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and monitoring
Troubleshoot and optimize existing systems for improved performance, reliability, and observability
Participate in code reviews and mentor team members on best practices and architectural principles
Collaborate with cross-functional teams including product, data science, and mechanical engineering