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Added 42 mins ago
Software Engineer (Product - Backend)
Vasco
Remote, Canada
Full-time · Remote
As a Software Engineer at Vasco, you'll build the brain of our agents: the core systems that give them the context, metrics, and playbooks they need to do their job. You'll join a small…
Added 55 mins ago
Principal Machine Learning Engineer, SecureAI
Okta
Toronto, ON
$192,000 to $264,000 CAD / year
Full-time
…under Okta Secures AI as a Principal Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing static, rule-based systems with dynamic AI security…
Added 55 mins ago
Sr. GCP/ Java Developer
NTT DATA North America
Toronto, ON
Other
We are looking for a Cloud Engineer (GCP + Java) who takes ownership of designing, building, and operating highly available, cloud-native applications on Google Cloud Platform.
Added 1 hour ago
08 - Lead Engineer, Systems/Applications Design
Celestica International LP
Newmarket, ON
…deliver high quality solutions in a Tool room environment. The Engineer, Systems/Applications designs, integrates, and produces robust tooling solutions and manages systems over their life…
Added 2 hours ago
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Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. In this role, you will own the complete…
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Canada Off-Site, Canada Off-Site Office
You are a passionate engineer who thrives in fast-paced, innovative environments. You have a deep understanding of software engineering principles and a strong command of Python, with the…
Added 2 hours ago
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As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
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Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
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Toronto, ON
Full-time
As our products continue to evolve toward cloud-native architectures and increasingly sophisticated solutions, ensuring high quality, reliability, and delivery efficiency becomes even more…
Added 2 hours ago
AI/ML Systems Engineer
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$50 to $67 CAD / hour
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Added 2 hours ago
AI Technical Security Research Engineer
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Toronto, ON
$55 to $60 CAD / hour
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Added 2 hours ago
Solutions Consultant
Procurify
Remote, Canada
Full-time · Remote
…career through meaningful challenges, and help shape an AI-native company at a defining moment in the evolution of agentic…
Added 2 hours ago
Senior Java Software Engineer
Realtek Consulting LLC
Toronto, ON
Contract
Were seeking a Senior Software Engineer to enhance a cross-asset order and position management system. The engineer shall have experience designing and building robust| scalable systems…
Added 2 hours ago
Senior DevOps Engineer - PA145
ZoomInfo
Toronto, ON
Full-time
Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
Added 3 hours ago
Java Software Engineer
LanceSoft, Inc.
Toronto, ON
$70 to $75 CAD / hour
Contract
We are seeking a Senior Software Engineer to enhance a cross-asset order and position management system. The engineer shall have experience designing and building robust| scalable systems…
Added 4 hours ago
Digital Architect – Data - GOAPRDJP00000987
S M Software Solutions Inc
AB · Edmonton, AB
Full-time
Experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to create…
Added 4 hours ago
Senior Software Engineer - Java
Q1 Technologies, Inc.
Toronto, ON
$65 to $73 CAD / hour
Contract
We are seeking a Senior Software Engineer to enhance a cross-asset order and position management system.
Added 4 hours ago
Cloud Security Engineer
Paymentus Group Inc
Richmond Hill, ON
Full-time
The Cloud Security Engineer is responsible for helping secure the cloud-native infrastructure, platforms, services, and deployment patterns that support the Paymentus SaaS platform. This…
Added 4 hours ago
Platform Engineer
Viva Tech Solutions
Toronto, ON
Contract
Hands-on experience with Infrastructure as Code| configuration management| and cloud-native deployment
Added 7 hours ago
Data Engineer
Wiraa
Canada
Full-time
We are seeking a highly skilled Staff Data Engineer to join our Data Platform team. This senior individual contributor role demands a broad technical scope and a significant organizational…
Added 7 hours ago
Principal React Native Engineer
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 14 hours ago
Software Engineer P2 - PA2026JBGRAD02
SS&C Technologies
Toronto, ON
Full-time
The Financial Services Group at SS&C is currently hiring a Software Engineer. This engineer will be responsible for analyzing, designing, programming and modifying software enhancements…
Added 16 hours ago
Digital Architect – Data - GOAPRDJP00000987
S M Software Solutions Inc
AB · Edmonton, AB
Full-time
Experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to create…
Added 16 hours ago
QA Automation Engineering Consultant
CGI
Toronto, ON
Full-time
We are seeking an experienced QA Automation Engineer to support enterprise branch-banking applications deployed across on-premises and Google Cloud Platform (GCP) environments. The…
Added 18 hours ago
Ingénieur principal en plateforme (SRE), solutions d'IA/Senior Platform Engineer (SRE), AI Solutions
Syntax
Montreal, QC
Concevoir, développer et exploiter la plateforme de développement Cloud native de Syntax (Kubernetes + CNCF) sur AWS, Azure ou GCP.

NTT DATA North America

Sr. GCP/ Java Developer

Toronto, ON, Canada

Pay: The starting pay range for this role is [$60.12 to $70.48].
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

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Original job description

Company Overview:
Req ID: 375797
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Sr. GCP/ Java Developer to join our team in Toronto, Ontario (CA-ON), Canada (CA).

Job Description:

We are looking for a Cloud Engineer (GCP + Java) who takes ownership of designing, building, and operating highly available, cloud-native applications on Google Cloud Platform.
This is a hands-on engineering role. You will be responsible for developing scalable Java-based applications, implementing resilient cloud architectures, and ensuring production systems remain secure, reliable, and performant.
You will work closely with Engineering, DevOps, SRE, and Product teams to build cloud solutions that are resilient by design, leveraging Google Cloud services, Cloud Spanner, and modern engineering practices. You are expected to proactively identify operational risks, optimize cloud infrastructure, and ensure production readiness through high availability, disaster recovery, and automation.

Key Responsibilities
Google Cloud Platform Engineering

5+ years of hands-on experience designing, developing, and deploying applications on Google Cloud Platform (GCP).
3+ years of experience designing and supporting multi-region GCP deployments for highly available enterprise applications.
4+ years of experience implementing cloud-native architectures using services such as Cloud Run, GKE, Compute Engine, Pub/Sub, Cloud Storage, IAM, and VPC.
4+ years of experience managing cloud infrastructure, scalability, security, and operational excellence within GCP environments.

Java Application Development

5+ years of experience developing enterprise applications using Java (Java 11/17 preferred).
4+ years of experience building RESTful APIs and microservices using Spring Boot.
4+ years of experience designing distributed, scalable, and high-performance applications.
3+ years of experience integrating cloud-native applications with databases, messaging systems, and external services.

Cloud Spanner & Data Engineering

3+ years of hands-on experience working with Cloud Spanner in production environments.
3+ years of experience designing scalable, distributed database solutions with high availability and strong consistency.
3+ years of experience optimizing database performance, schema design, and query execution.
2+ years of experience performing database migrations or modernization initiatives involving Cloud Spanner.

High Availability, Disaster Recovery & Production Operations

4+ years of experience owning High Availability (HA) and Disaster Recovery (DR) architecture for cloud-based applications.
4+ years of experience designing and validating failover strategies, resilience testing, and business continuity plans.
4+ years of experience supporting production environments, troubleshooting incidents, and driving root cause analysis.
3+ years of experience implementing monitoring, logging, alerting, and operational dashboards for cloud workloads.

DevOps, Automation & Cloud Operations

3+ years of experience implementing CI/CD pipelines using modern DevOps practices.
3+ years of experience working with Infrastructure as Code (Terraform preferred).
3+ years of experience deploying containerized applications using Docker and Kubernetes (GKE preferred).
3+ years of experience collaborating with DevOps and SRE teams to improve deployment reliability and operational efficiency.

Security & Engineering Best Practices

3+ years of experience implementing cloud security best practices, IAM policies, network security, and encryption.
3+ years of experience ensuring compliance with enterprise security and governance standards.
4+ years of experience conducting performance tuning, cost optimization, and capacity planning for cloud environments.
3+ years of experience applying software engineering best practices including code reviews, testing, and continuous improvement.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
6+ years of overall experience in Software Engineering, Cloud Engineering, or Platform Engineering.
5+ years of hands-on experience developing applications using Java.
5+ years of hands-on experience working with Google Cloud Platform (GCP).
3+ years of hands-on experience with Cloud Spanner in production environments.
3+ years of experience designing or operating multi-region GCP deployments.
4+ years of experience owning High Availability (HA), Disaster Recovery (DR), failover strategies, resilience testing, or production operations within GCP.
Strong experience with Spring Boot, REST APIs, and microservices architecture.
Experience with CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code (Terraform preferred).
Experience working in Agile software development environments using Jira, Azure DevOps, or equivalent tools.
Google Cloud certifications (Associate Cloud Engineer or Professional Cloud Architect) are highly preferred.
Core Traits (Non-Negotiable)
Cloud Engineering Excellence - Demonstrated throughout 5+ years of hands-on GCP engineering experience.
Ownership Mindset - Proven ability over 4+ years to own cloud infrastructure, reliability, and production support.
Reliability First - Demonstrated experience designing resilient, fault-tolerant, and highly available cloud solutions.
Problem Solving - Strong analytical and troubleshooting skills with experience resolving complex production issues.
Continuous Improvement - Passion for automation, operational excellence, performance optimization, and engineering best practices.

What Success Looks Like

Cloud-native applications are scalable, secure, and highly available across multiple GCP regions.
Production systems consistently meet reliability, performance, and availability targets.
High Availability and Disaster Recovery strategies are successfully implemented and regularly validated.
Cloud Spanner deployments deliver high performance, resilience, and operational stability.
Infrastructure provisioning, deployments, and operational tasks are automated wherever possible.
Engineering teams confidently deploy and operate applications with minimal production risk through strong cloud architecture and operational practices.

This posting relates to an existing vacancy within our organization. NTT DATA provides a reasonable range of compensation for Canada-based positions. The starting pay range for this role is [$60.12 to $70.48]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for NTT DATA’s Employee Assistance Program (EAP) and Discount Perks. AI Statement - Choose One:

Artificial intelligence tools are used in our recruitment process to screen, assess, or select applicants.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

*This position is not open to employer sponsorship**
#Launchjobs #LaunchEngineering

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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More about this job

Responsibilities

Design, develop, deploy, and operate scalable Java applications and resilient cloud-native architectures on Google Cloud Platform, including multi-region deployments and Cloud Spanner solutions. Own production reliability, security, disaster recovery, performance, and automation while collaborating with Engineering, DevOps, SRE, and Product teams.

Requirements

Requires a bachelor's degree in a relevant discipline and at least six years of overall software, cloud, or platform engineering experience, including five years with Java and GCP and three years with Cloud Spanner. Candidates should also have experience with Spring Boot, REST APIs, microservices, multi-region deployments, HA/DR, production operations, CI/CD, Docker, Kubernetes, Terraform, and Agile tools; Google Cloud certifications are preferred.

Skills

Google Cloud Platform
Java
Spring Boot
Cloud Spanner
REST APIs
Microservices
Multi-Region Cloud Deployments
High Availability and Disaster Recovery
Kubernetes
Docker
Terraform
CI/CD
Cloud Security
Performance Optimization
Production Operations
Infrastructure as Code

Benefits

Employee Assistance Program
Discount Perks
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account
Health Savings Account
Life Insurance
Accidental Death and Dismemberment Insurance
Short-Term Disability Coverage
Long-Term Disability Coverage
Paid Time Off
401(k) With Company Match

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Java
Java 11
Java 17
Spring Boot
REST APIs
Microservices
Cloud Spanner
Cloud Run
Google Kubernetes Engine
Compute Engine
Pub/Sub
Cloud Storage
IAM
VPC
Multi-Region Deployments
High Availability
Disaster Recovery
CI/CD
Terraform
Docker
Kubernetes
Infrastructure as Code
DevOps
Site Reliability Engineering
Agile
Jira
Azure DevOps
Associate Cloud Engineer
Professional Cloud Architect

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