
Cloud Big Data Applications Support (Hybrid- Montréal)
- Montreal, QC
- $53,000-79,000 per year
- Permanent
- Full-time
- Provide technical and developer support to customers using Google Cloud Platform products, solutions and APIs
- Identify and document both product bugs and feature requests, and continually working with internal support teams as well as customers to implement effective solutions
- Reproduce customer issues in order to better understand their use cases, and to efficiently provide tailored solutions for their environments
- Work closely with various internal support teams to drive case progress and to also improve Google Cloud Platform products at both a granular and higher level
- Communication Skills: Strong communication and collaboration skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences
- Advanced knowledge of English is required: Most of the time you will interact in English with external parties (clients, suppliers, external partners, etc.) as part of this position's main responsibilities, given its international scope
- Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration
- Demonstrate comprehensive and logical troubleshooting methodologies
- Ability to quickly learn, explain, and put into practice newly complex technologies and subjects
- Resourcefulness and strong research skills
- Significant abilities in reading, understanding and writing code samples to replicate customer issues, as well as reading and understanding logs and stack traces
- Punctuality, aware of professional etiquette standards, and 24/7 availability
- Proficiency in French speaking and writing is an asset
- Data Analysis: Experience in analyzing data, creating data models, or using SQL for data manipulation and analysis
- Firm understanding of emerging AI & ML technologies (especially for model analysis, training, and tuning)
- Experience with PaaS, SaaS, and IaaS technologies
- Experience in technical support: able to provide high levels of customer-focused quality and service
- Data Visualization: Experience in developing data visualizations and dashboards using tools like Power BI, Tableau, and Looker is a plus
- Cloud Technologies: Experience with cloud platforms like GCP, AWS, and Azure, including their data analytics services
- Database Technologies: Experience with various database technologies, including relational databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle) or non-relational databases
- Experience in deploying and managing distributed systems and clusters (Kubernetes), workflows, and familiarity with testing environments
- Reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc)
- Data Warehousing: Experience with data warehousing concepts
- Version Control: Hands-on experience with Git
- Generative AI: Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
- ML Development: Experience with Machine Learning model development and deployment
- AIML Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs
- College diploma in Computer Science or 2 years equivalent knowledge / experience
- Firm understanding of specific programming languages: Java, Python, Node.js, Go
- Experience with distributed data stores (HBase, Cassandra, Riak, Amazon DynamoDB, etc.) and distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Google Pub/Sub, Amazon Kinesis, etc.)
- Experience in data analysis, engineering or reporting, with a strong emphasis on client-facing projects
- Experience with Big Data architectures and technologies (Google Data Fusion, CDAP, Google Dataprep, Trifacta, Google BigQuery, Google Composer, Apache Airflow, etc.)
- Experience with any ML library (scikit-learn, pytorch, tensorflow, Spark mllib) or basic understanding of training, testing, and evaluating ML models
- Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues
- Google Associate Cloud Engineer certification is desired
- Google Machine Learning Engineer certification is desired
- Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
- Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
- Generous company matched pension and share purchase programs
- Opportunity to give back to communities in which we work, live and serve
- Career growth and learning & development opportunities to develop your skills
- And much more …
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