Data DevOps Engineer (Toronto, ON, CA, M5H 1J9)

HSBC
Toronto
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureEducation: bachelorsSkills: ["Collaboration","Problem-solving","Reliability focus","Detail-oriented","Continuous learning"]

Join the CTO Analytics Technology team to build and run a state-of-the-art data science platform across multi-cloud environments. You’ll develop and maintain big-data pipelines and workflows, support data science initiatives with tools like Vertex AI and Airflow, and help deploy ML/LLM applications using MLOps/LLMOps practices. Partner with data engineers and scientists to ensure reliability, automate operations, and improve analytics capabilities using Kubernetes, Python, and modern cloud services.

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FursaFursa
HSBC
HSBC
1 day ago

Data DevOps Engineer (Toronto, ON, CA, M5H 1J9)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Join the CTO Analytics Technology team to build and run a state-of-the-art data science platform across multi-cloud environments. You’ll develop and maintain big-data pipelines and workflows, support data science initiatives with tools like Vertex AI and Airflow, and help deploy ML/LLM applications using MLOps/LLMOps practices. Partner with data engineers and scientists to ensure reliability, automate operations, and improve analytics capabilities using Kubernetes, Python, and modern cloud services.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Develop, deploy, and maintain data pipelines and workflows using big data technologies across multi-cloud environments.
  • •Support data science initiatives with platforms and orchestration tools such as JupyterHub, MLflow, Vertex AI, Dataproc, Dataflow, and Airflow.
  • •Collaborate with data scientists to implement machine learning models and workflows using TensorFlow and scikit-learn.
  • •Develop and maintain Python applications and APIs to support data workflows and analytics.
  • •Monitor and troubleshoot pipelines and participate in ML/LLM application deployment lifecycle using MLOps/LLMOps practices and Kubernetes.

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
  • •Familiarity with big data technologies such as Hadoop/HDFS, BigQuery, EMR, Snowflake, and Databricks.
  • •Experience with data science tools including JupyterHub, MLflow, Vertex AI, Dataproc, Dataflow, and Airflow.
  • •Experience with data manipulation libraries such as pandas, NumPy, and PySpark.
  • •Proficiency in Python, including building APIs and applications; familiarity with GCP, AWS, and Azure.
Education:Bachelor's
Skills:CollaborationProblem-solvingReliability focusDetail-orientedContinuous learning
Tech Stack:Apache HadoopHadoop Distributed File System (HDFS)Google BigQuery (BigQuery)Amazon EMR (EMR)SnowflakeDatabricksJupyterHubMLflowGoogle Vertex AI (Vertex AI)Google Cloud Dataproc (Dataproc)Google Cloud Dataflow (Dataflow)Apache Airflow (Airflow)TensorFlowScikit-learnPandasNumPyPySparkPython 3Application Programming Interfaces (APIs)Linux

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn