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Added 1 month ago
Data DevOps Engineer
HSBC
Toronto, ON
Full-time
We are looking for a passionate and driven Data Development and Operations (Data DevOps) Engineer to join our CTO Analytics Technology team. In this role, you will work on a…
Added 1 month ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 1 month ago
Financial Engineer, truView, Vice President
State Street
Toronto, ON
Full-time
truView is a multi-asset-class analytics platform offered as a service to clients of State Street. Initially developed to serve hedge funds within State Street’s IFS subsidiary, truView now…
Added 1 month ago
Lead Hub Operations Excellence
Purolator
Richmond, BC
Reporting to the Western Canada Engineering Manager, the Lead Hub Operations Excellence Engineer is responsible for all cost and quality improvement activities in the field. This includes…
Added 1 month ago
Applied AI Engineer
MaintainX (An Autodesk Company)
Remote, Canada
$153,000 to $224,000 CAD / year
Full-time · Remote
Added 1 month ago
Analytics Engineer III, Assurance
ACV
Toronto, ON
The Analytics Engineer III on the ACV Assurance team is a skilled practitioner who transforms raw data into trusted, decision-ready models and reports that drive the business forward.…
Added 1 month ago
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
NS · Sydney, Nova Scotia
Full-time
Position Title: AI Engineer (Agentic Workflows)
Added 1 month ago
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
Make the platform observable. Build and troubleshoot with Log Analytics, Container Insights, and Application Insights. Write KQL that answers real questions, design alerts that page on…
Added 1 month ago
Staff Backend Software Engineer
Cognichip
Toronto, ON
$184,000 to $225,000 CAD / year
Full-time
We are seeking a Staff Backend Software Engineer to spearhead the development of our platform applications and services. You will architect critical backend solutions, including usage…
Added 1 month ago
Senior Data Engineer
APPLY
Canada
Full-time
Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
Added 1 month ago
Senior Playwright QA Engineer
Cognizant
Toronto, ON
$60,000 to $90,000 CAD / year
Full-time
We are looking for experienced Playwright QA Engineer to join our QEA team. The ideal candidate will have hands-on expertise in automation frameworks, API and data validation, and…
Added 1 month ago
Senior/Staff Software Engineer, Data Platform
Terminal
Toronto, ON
$200,000 to $295,000 CAD / year
Full-time
We're looking for an engineer who thrives on building scalable platforms and enjoys tackling hard data and backend challenges. This isn't a data engineering role: you'll design and optimize…
Added 1 month ago
Senior Software Engineer, Machine Learning
Hive
Remote, Canada
$123,600 to $187,900 USD / year
Full-time · Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 1 month ago
AI Software Engineer, Product
Palona AI
Toronto, ON
Full-time
We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing…
Added 1 month ago
Software Engineer - AI Developer Productivity
Baseten
Montreal, QC
$165,000 to $330,000 USD / year
Full-time
…approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week…
Added 1 month ago
AI Software Engineer, Growth
Palona AI
Toronto, ON
Full-time
We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine…
Added 1 month ago
Full Stack Product Engineer
Liftoff
Montreal, QC
$70,000 to $110,000 CAD / year
Full-time
We're hiring a Full-Stack Engineer to ship product features and experiments end-to-end. Your core focus areas:
Added 1 month ago
Senior Security Engineer
Forma.ai
Toronto, ON
$160,000 to $190,000 USD / year
Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 1 month ago
AI Infrastructure Engineer
Palona AI
Toronto, ON
Full-time
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI…
Added 1 month ago
AI Modeling Engineer
Palona AI
Toronto, ON
Full-time
We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona's voice and multimodal agents. You will own problems across…
Added 1 month ago
AI/ML Infrastructure Engineer
Avenue Code
Canada
Full-time
Avenue Code is seeking a Senior AI/ML Infrastructure Engineer to support the development and evolution of a large-scale Machine Learning Platform for a global technology company.
Added 1 month ago
Research Engineer - World Models
Skyfall AI
Toronto, ON
Full-time
We're looking for a Research Engineer (ML) to join our cutting-edge AI research team. This role is ideal for engineers who thrive at the intersection of AI research and scalable software…
Added 1 month ago
Principal Engineer, Agentic Products & Workflows
Big Viking Games
Toronto, ON
$175,000 to $200,000 CAD / year
Full-time
Big Viking Games is hiring a Principal Engineer, Agentic Products & Workflows to build the systems that make an AI-first game studio real.
Added 1 month ago
Full Stack Developer (Java + Angular)
CGI
Halifax, NS
Full-time
CGI is seeking a highly skilled and experienced Senior Full Stack Engineer to join our growing team. In this role, you will leverage your expertise in Java, Spring Boot, Microservices,…
Added 1 month ago
Quality Designer II – FC Live-Curation QV
Electronic Arts (EA)
Vancouver, BC
Full-time
Experience using data to engineer informed testing solutions and prioritize daily workflows in collaboration with leadership.

HSBC

Data DevOps Engineer

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Aug 19, 2026

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Original job description

Our purpose – Opening up a world of opportunity – explains why we exist. Here at HSBC, we use our unique expertise, capabilities, breadth and perspectives to open new kinds of opportunity for our more than 40 million customers. We’re bringing together the people, ideas, and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities, and the planet we all share.

In Canada, HSBC Global Services (Canada) Limited (HGCA) is a wholly owned subsidiary of HSBC Global Services Limited. Operating in Toronto and Vancouver, HGCA is part of a global service company, delivering services to support the operating entities of HSBC Group. We have different capabilities that provide tools and processes to facilitate the functions, business, and entities with their service management responsibilities.

Chief Technology Office (CTO) Data Technology is a data-driven shared service organization committed to unlocking value from data to serve our customers. We are a unified data technology team with a diverse organization of more than 3,000 colleagues across multiple global locations. We are transforming data technology into an Enterprise Shared Service Capability delivery model that will scale across key Global and Regional business markets.

Our CTO Analytics Technology team is at the forefront of developing cutting-edge data science platforms across multi-cloud environments. We leverage advanced analytics and data-driven insights to enhance our services and drive business growth.

We are looking for a passionate and driven Data Development and Operations (Data DevOps) Engineer to join our CTO Analytics Technology team. In this role, you will work on a state-of-the-art data science platform, collaborating with data engineers, data scientists, and other stakeholders to optimize data workflows and enhance our analytics capabilities across multi-cloud environments.

As our Data DevOps Engineer you will:

Assist in the development, deployment, and maintenance of data pipelines and workflows using Big Data technologies such as Apache Hadoop (Hadoop), Hadoop Distributed File System (HDFS), Google BigQuery (BigQuery), Amazon EMR (EMR), Snowflake, and Databricks
Support data science initiatives by utilizing tools such as JupyterHub, MLflow, Google Vertex AI (Vertex AI), Google Cloud Dataproc (Dataproc), Google Cloud Dataflow (Dataflow), and Apache Airflow (Airflow)
Collaborate with data scientists to implement machine learning models and workflows using libraries such as TensorFlow and scikit-learn
Utilize data manipulation libraries such as pandas, NumPy, and PySpark for data analysis and processing
Develop and maintain Python 3 (Python) applications and Application Programming Interfaces (APIs) to support data workflows and analytics
Monitor and troubleshoot data pipelines to ensure data quality and reliability
Participate in the deployment lifecycle of machine learning models and applications, including Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) practices
Work with container orchestration tools such as Kubernetes (K8s) to manage and deploy applications in cloud environments
Stay updated with the latest trends and technologies in data engineering, DevOps, and cloud computing

You’ll likely have the following qualifications to succeed in this role:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience)
Familiarity with Big Data technologies (Hadoop, HDFS, BigQuery, EMR, Snowflake, Databricks)
Experience with data science tools (JupyterHub, MLflow, Vertex AI, Dataproc, Dataflow, Airflow)
Experience with data manipulation libraries (pandas, NumPy, PySpark)
Proficiency in Python, including experience in building APIs and applications
Familiarity with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure (Azure), and their services
Basic knowledge of Linux operating systems
Understanding of Kubernetes (K8s), MLOps/LLMOps, and experience with Large Language Models (LLMs) such as OpenAI, Claude, or Gemini (preferred)

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in Canada. Applicants must be legally authorized to work in Canada as HSBC will not engage in immigration sponsorship for this position.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. At HSBC, our overall goal is to provide a competitive Total Reward Package, with an appropriate mix of fixed pay, and variable pay, as part of an employee’s overall total compensation and benefits. Variable pay generally takes the form of discretionary, annual awards (sometimes referred to as a “bonus”). Additionally, HSBC offers a wide range of competitive and flexible benefits designed to help you improve your health and well-being, finances, and lifestyle.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.

The final fixed pay offer will depend on the candidate and a number of variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location.

At HSBC, our overall goal is to provide a competitive Total Reward Package, with an appropriate mix of fixed pay, and variable pay, as part of an employee’s overall total compensation and benefits. Variable pay generally takes the form of discretionary, annual awards (sometimes referred to as a “bonus”). Additionally, HSBC offers a wide range of competitive and flexible benefits designed to help you improve your health and well-being, finances, and lifestyle.

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More about this job

Responsibilities

The Data DevOps Engineer will develop, deploy, and maintain data pipelines and workflows using Big Data technologies while collaborating with data scientists to implement machine learning models. They will also monitor and troubleshoot data systems to ensure quality and reliability across multi-cloud environments.

Requirements

Candidates must hold a bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Proficiency in Python, experience with Big Data technologies, and familiarity with cloud platforms and Kubernetes are required.

Skills

Python
Apache Hadoop
Google BigQuery
Snowflake
Databricks
Kubernetes
MLOps
LLMOps
Apache Airflow
PySpark
TensorFlow
Scikit-learn
Data pipelines
Cloud computing
Data engineering
API development

Benefits

Professional development opportunities
Competitive total reward package
Health and well-being benefits
Flexible benefits

Visa sponsorship

Not detected in the job text

Keywords

Data DevOps
Big Data
Hadoop
HDFS
BigQuery
EMR
Snowflake
Databricks
JupyterHub
MLflow
Vertex AI
Dataproc
Dataflow
Airflow
TensorFlow
Scikit-learn
Pandas
NumPy
PySpark
Python
APIs
MLOps
LLMOps
Kubernetes
Cloud Computing
GCP
AWS
Azure
Linux
Large Language Models

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