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Google Big Data Platform Engineer II

Pay
CAD 126,800–164,100/yearAnnual period assumed — pay source
Pay Details: $126,800 - $164,100 CAD This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Build and test platform features for Google BigQuery

  • Develop orchestration code with Google Cloud SDK, Terraform and GitHub Actions

  • Design automated tests for security policies and BigQuery integrations

  • Manage cloud security controls including Secret Manager, PKI and VPC Service Controls

  • Continuously improve self-service automation for platform services

From the employer’s posting
to build and test platform features for Google BigQuery
Develop and maintain orchestration code using Google Cloud SDK, Terraform (GCP modules), and GitHub Actions.
Design automated tests to validate security policies, business features, and integrations across GCP Big Query.
Manage cloud security controls, including GCP Secret Manager, PKI, data encryption, and VPC Service Controls
Continuously improve self-service automation for platform services, ensuring minimal manual intervention.

What you’ll bring

All qualifications

Core experience

  • 1 year of experience developing IaC orchestration code using Python SDKs (Azure, GCP), Terraform, and CI/CD tools (e.g., GitHub Actions/Runners).
  • 1 year experience writing automated test use cases to validate security policies and business features across cloud platforms.
  • Experience in cloud Identity and Access Management (IAM) including Google Cloud IAM, and integration with enterprise identity providers (e.g., Active Directory, PingFederate).
Qualification wording
1 year of experience developing IaC orchestration code using Python SDKs (Azure, GCP), Terraform, and CI/CD tools (e.g., GitHub Actions/Runners).
1 year experience writing automated test use cases to validate security policies and business features across cloud platforms.
Experience in cloud Identity and Access Management (IAM) including Google Cloud IAM, and integration with enterprise identity providers (e.g., Active Directory, PingFederate).

About TD International

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.

In the employer’s words · Read in context

Apply at TD International

Posting record

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Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Reposted
once since Nov 2, 2026

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How this job compares

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Day 1

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TD International is hiring

43 open jobs

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  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Azure
  • BigQuery
  • Databricks
  • GCP
  • Terraform
Where the posting names them
We are seeking a multi-cloud platform engineer with experience in Google Cloud to work across our engineering teams and business partners. The ideal candidate will have previous public cloud experience delivering enterprise solutions within financial services, including knowledge of the security and regulatory requirements applicable to Google Cloud Platform (GCP). You will work alongside cloud engineering, network, security, and risk management teams to build and test platform features for Google BigQuery. You will collaborate with our cloud engineering teams and businesses to implement and continuously improve self-service builds and test automation. You will develop custom code primarily using Python, Terraform, and CI/CD tools (like Git Actions) to enhance and automate cloud services. You will have a strong passion for writing code to automate and integrate technologies across environments, eliminating manual steps. You will work with our business developers and internal teams to maintain a backlog of features and enhancements to continuously enhance the build experience for our businesses.
EDUCATION & EXPERIENCE - 1 year of experience developing IaC orchestration code using Python SDKs (Azure, GCP), Terraform, and CI/CD tools (e.g., GitHub Actions/Runners). - 1 year experience writing automated test use cases to validate security policies and business features across cloud platforms.
- Continuously improve self-service automation for platform services, ensuring minimal manual intervention. - Experience with automated testing and integrating key data services across Azure (e.g., Databricks, Data Factory, Azure ML) and GCP (e.g., BigQuery, Pub/Sub, Dataflow, Vertex AI). - Write and use Infrastructure as Code (IaC) templates, primarily using Terraform, for provisioning and managing resources in both Azure and GCP.
- Experience with automated testing and integrating key data services across Azure (e.g., Databricks, Data Factory, Azure ML) and GCP (e.g., BigQuery, Pub/Sub, Dataflow, Vertex AI). - Write and use Infrastructure as Code (IaC) templates, primarily using Terraform, for provisioning and managing resources in both Azure and GCP. - Understand Azure & Google Cloud security features (data protection, authentication, IAM/RBAC, network security, etc.).
- Write and use Infrastructure as Code (IaC) templates, primarily using Terraform, for provisioning and managing resources in both Azure and GCP. - Understand Azure & Google Cloud security features (data protection, authentication, IAM/RBAC, network security, etc.). - Understanding of Public Key Infrastructure (PKI) and managing certificates within Azure and GCP PaaS services and applications.
- Understand Azure & Google Cloud security features (data protection, authentication, IAM/RBAC, network security, etc.). - Understanding of Public Key Infrastructure (PKI) and managing certificates within Azure and GCP PaaS services and applications. - Ability to troubleshoot cloud networking concepts including DNS, connectivity, Network Security Groups (Azure NSG) / Firewall Rules (GCP), routing, and load balancing across both Azure and GCP.
- Understanding of Public Key Infrastructure (PKI) and managing certificates within Azure and GCP PaaS services and applications. - Ability to troubleshoot cloud networking concepts including DNS, connectivity, Network Security Groups (Azure NSG) / Firewall Rules (GCP), routing, and load balancing across both Azure and GCP. - Proficiency in cloud automation using native CLIs (Azure CLI, gcloud CLI) and SDKs.
- Ability to troubleshoot cloud networking concepts including DNS, connectivity, Network Security Groups (Azure NSG) / Firewall Rules (GCP), routing, and load balancing across both Azure and GCP. - Proficiency in cloud automation using native CLIs (Azure CLI, gcloud CLI) and SDKs. - Understand concepts related to deploying platform components and data analytics solutions via CI/CD pipelines targeting both cloud environments.
- Understand concepts related to deploying platform components and data analytics solutions via CI/CD pipelines targeting both cloud environments. - Ensure that all cloud solutions follow internally defined security and compliance controls for both Azure and GCP. - Develop/Consume APIs, SDKs, and Webhooks for multi-directional integration of our cloud orchestration platform with enterprise systems, DevOps Tools, and Azure/GCP platforms.
- Ensure that all cloud solutions follow internally defined security and compliance controls for both Azure and GCP. - Develop/Consume APIs, SDKs, and Webhooks for multi-directional integration of our cloud orchestration platform with enterprise systems, DevOps Tools, and Azure/GCP platforms. - Ability to participate effectively in fast-paced DevOps Engineering teams within Scrum agile processes.
- Develop and maintain orchestration code using Google Cloud SDK, Terraform (GCP modules), and GitHub Actions. - Design automated tests to validate security policies, business features, and integrations across GCP Big Query. - Ensure compliance with GCP IAM, Active Directory, PingFed, and Google Cloud Identity for secure access management
Job Description: We are seeking a multi-cloud platform engineer with experience in Google Cloud to work across our engineering teams and business partners. The ideal candidate will have previous public cloud experience delivering enterprise solutions within financial services, including knowledge of the security and regulatory requirements applicable to Google Cloud Platform (GCP). You will work alongside cloud engineering, network, security, and risk management teams to build and test platform features for Google BigQuery. You will collaborate with our cloud engineering teams and businesses to implement and continuously improve self-service builds and test automation. You will develop custom code primarily using Python, Terraform, and CI/CD tools (like Git Actions) to enhance and automate cloud services.
KEY ACCOUNTABILITIES - Develop and maintain orchestration code using Google Cloud SDK, Terraform (GCP modules), and GitHub Actions. - Design automated tests to validate security policies, business features, and integrations across GCP Big Query.
- Design automated tests to validate security policies, business features, and integrations across GCP Big Query. - Ensure compliance with GCP IAM, Active Directory, PingFed, and Google Cloud Identity for secure access management - Troubleshoot networking components (e.g., GCP VPC, Firewall Rules, Cloud DNS).
- Ensure compliance with GCP IAM, Active Directory, PingFed, and Google Cloud Identity for secure access management - Troubleshoot networking components (e.g., GCP VPC, Firewall Rules, Cloud DNS). - Develop APIs, SDKs, and Webhooks for integrating GCP and enterprise systems (e.g., DevOps tools, monitoring platforms).
- Develop APIs, SDKs, and Webhooks for integrating GCP and enterprise systems (e.g., DevOps tools, monitoring platforms). - Manage cloud security controls, including GCP Secret Manager, PKI, data encryption, and VPC Service Controls - Continuously improve self-service automation for platform services, ensuring minimal manual intervention.
- 1 year experience writing automated test use cases to validate security policies and business features across cloud platforms. - Experience in cloud Identity and Access Management (IAM) including Google Cloud IAM, and integration with enterprise identity providers (e.g., Active Directory, PingFederate). - Must be a self-starter; demonstrated ability to take independent action to achieve results.

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Has TD International posted this job before?

Yes. We’ve followed one other Google Big Data Platform Engineer II job there since November 2026. It came down after 0 days.

  1. TorontoCame down after 0 days, first seen Nov 2
  2. This jobUp 2 days so far, first seen Nov 3

Job description

View original posting ↗

Work Location:

Toronto, Ontario, Canada

Hours:

0

Line of Business:

Technology Solutions

Pay Details:

$126,800 - $164,100 CAD

This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

We are seeking a multi-cloud platform engineer with experience in Google Cloud to work across our engineering teams and business partners. The ideal candidate will have previous public cloud experience delivering enterprise solutions within financial services, including knowledge of the security and regulatory requirements applicable to Google Cloud Platform (GCP). 


You will work alongside cloud engineering, network, security, and risk management teams to build and test platform features for Google BigQuery.  You will collaborate with our cloud engineering teams and businesses to implement and continuously improve self-service builds and test automation. You will develop custom code primarily using Python, Terraform, and CI/CD tools (like Git Actions) to enhance and automate cloud services. 


You will have a strong passion for writing code to automate and integrate technologies across environments, eliminating manual steps. You will work with our business developers and internal teams to maintain a backlog of features and enhancements to continuously enhance the build experience for our businesses. 


KEY ACCOUNTABILITIES


  • Develop and maintain orchestration code using Google Cloud SDK, Terraform (GCP modules), and GitHub Actions.    
  • Design automated tests to validate security policies, business features, and integrations across GCP Big Query. 
  • Ensure compliance with GCP IAM, Active Directory, PingFed, and Google Cloud Identity for secure access management 
  • Troubleshoot networking components (e.g., GCP VPC, Firewall Rules, Cloud DNS).  
  • Develop APIs, SDKs, and Webhooks for integrating GCP and enterprise systems (e.g., DevOps tools, monitoring platforms).   
  • Manage cloud security controls, including GCP Secret Manager, PKI, data encryption, and VPC Service Controls   
  • Continuously improve self-service automation for platform services, ensuring minimal manual intervention.   
  • Experience with automated testing and integrating key data services across Azure (e.g., Databricks, Data Factory, Azure ML) and GCP (e.g., BigQuery, Pub/Sub, Dataflow, Vertex AI). 
  • Write and use Infrastructure as Code (IaC) templates, primarily using Terraform, for provisioning and managing resources in both Azure and GCP. 
  • Understand Azure & Google Cloud security features (data protection, authentication, IAM/RBAC, network security, etc.). 
  • Understanding of Public Key Infrastructure (PKI) and managing certificates within Azure and GCP PaaS services and applications. 
  • Ability to troubleshoot cloud networking concepts including DNS, connectivity, Network Security Groups (Azure NSG) / Firewall Rules (GCP), routing, and load balancing across both Azure and GCP. 
  • Proficiency in cloud automation using native CLIs (Azure CLI, gcloud CLI) and SDKs. 
  • Understand concepts related to deploying platform components and data analytics solutions via CI/CD pipelines targeting both cloud environments. 
  • Ensure that all cloud solutions follow internally defined security and compliance controls for both Azure and GCP. 
  • Develop/Consume APIs, SDKs, and Webhooks for multi-directional integration of our cloud orchestration platform with enterprise systems, DevOps Tools, and Azure/GCP platforms. 
  • Ability to participate effectively in fast-paced DevOps Engineering teams within Scrum agile processes. 
  • A critical thinker with strong research and analytics skills. 
  • Self-motivated with a positive attitude and an ability to work independently and in a team.

EDUCATION & EXPERIENCE


  • 1 year of experience developing IaC orchestration code using Python SDKs (Azure, GCP), Terraform, and CI/CD tools (e.g., GitHub Actions/Runners). 
  • 1 year experience writing automated test use cases to validate security policies and business features across cloud platforms. 
  • Experience in cloud Identity and Access Management (IAM) including Google Cloud IAM, and integration with enterprise identity providers (e.g., Active Directory, PingFederate). 
  • Must be a self-starter; demonstrated ability to take independent action to achieve results. 
  • Excellent written and verbal communication skills with the ability to communicate clearly with all levels within the team. 
  • Highly developed critical thinking, analytical, and problem-solving skills. 
  • Advanced knowledge of the software development lifecycle and working in an Agile Scrum team. 
  • Demonstrated effective leadership and analytical skills 

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet
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Pay
Pay Details: $126,800 - $164,100 CAD This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.
Location & working pattern

Toronto, Ontario

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