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Added 12 days ago
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FS/ Product Owner with DataBricks – Senior Consultant, Business Consulting
Infosys
Toronto, ON
- Full-time
Exposure to AI, machine learning, or advanced analytics in a product or platform context (hands-on experience preferred but not mandatory).
Added 13 days ago
ES
Senior AI/ML Delivery Manager
EPAM Systems
Toronto, ON
- Full-time
EPAM is looking for a Sr. AI/ML Delivery Manager to serve as the senior AI delivery advisor responsible for guiding our client’s engineering organization from isolated AI experimentation to…
Added 13 days ago
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Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
…and operate the foundational platforms that enable data and machine learning workloads across on-premises and public-cloud environments, with a strong emphasis on governance, security, and…
Added 13 days ago
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Senior System Engineer – OS Kernel
Aptiv
Ottawa, ON
- Full-time
Wind River (An Aptiv Company) is seeking a Senior System Engineer – OS Kernel to contribute to the development of core kernel components for the VxWorks real-time operating system. In this…
Added 13 days ago
MI
Staff/Senior Embedded Systems Engineer
Movellus Inc.
Markham, ON
- Full-time
You love learning new technologies and to continuously challenge yourself by finding new and better ways to solve problems.
Added 13 days ago
VG
Senior Software Engineer - AI/ML
Veralto Global
Vancouver, BC · London, ON
- $120,000 to $145,000 CAD / year
- Full-time
Exposure to data science or machine learning concepts. Deep AI/ML expertise is not required.
Added 13 days ago
Senior Actuarial Analyst - Pricing Modelling
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Calgary, AB · Lethbridge, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
Experience with machine learning modelling or other pricing modelling methods and software.
Added 13 days ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Added 13 days ago
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Strategy & Operations Lead
eBay
Toronto, ON
- Full-time
…day to day execution. You should be comfortable working with senior executives, synthesizing complex information quickly, and driving alignment across a global, cross-functional…
Added 13 days ago
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Manager, Machine Learning Engineering - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 13 days ago
Senior Machine Learning Programmer
Epic Games
Montreal, QC
…computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots…
Added 13 days ago
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Senior Director, Raw Materials Innovation - Materials & Technology
lululemon
Vancouver, BC
- Full-time
As the senior leader for Raw Materials Innovation, you will oversee a multi-horizon innovation portfolio spanning near-term commercialization opportunities, mid-term material platform…
Added 13 days ago
KI
Java Developer
KYYBA Inc
ON · Ontario, Canada
- Contract
…control, and secure coding practices. Experience integrating AI or machine-learning services through APIs. Familiarity with prompt management, AI response validation, confidence scoring, or…
Added 13 days ago
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Senior Data Scientist
Hays
Toronto, ON
- Contract
· Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Added 13 days ago
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Data Scientist
Hays
Toronto, ON
- Contract
We are seeking an experienced Senior Data Scientist to support the development and adoption of advanced analytics, machine learning, and Generative AI solutions. The successful candidate…
Added 13 days ago
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Data & Analytics Leader- Consulting/Managing Partner) (CDO Like ) : Toronto, ON : Hybrid
AceStack
Toronto, ON
- Full-time
Strong knowledge of AI, Machine Learning, Generative AI, Agentic AI, MLOps/LLMOps, Responsible AI, and AI-driven business transformation.
Added 13 days ago
Senior Software Developer, Workspace Safety and Security Team, AI/ML GenAI
Google
Waterloo, ON
3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging).
Added 13 days ago
CI
Satellite Engineering Student
Calian in Space & Technology
Montreal, QC
- Internship
Artificial intelligence and machine learning,
Added 14 days ago
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Senior Machine Learning Applications and Compiler Engineer, LPX
NVIDIA
Canada
- Full-time
We are now looking for a Senior Machine Learning Applications and Compiler Engineer!
Added 14 days ago
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Mail Insert Operator
REPAY
Mississauga, ON
- Full-time
Works with Senior Machine Operators and the Lead Operator while learning the makeup, operating procedures and safety procedures
Added 14 days ago
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Software Developer - Frontend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 14 days ago
X
Quantum Scientist - Compilation
Xanadu
Toronto, ON
- Full-time
Expertise in quantum algorithms, especially for quantum chemistry and quantum machine learning.
Added 14 days ago
X
Software Developer - Backend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 14 days ago
X
Quantum Scientist - Finance
Xanadu
Toronto, ON
- Full-time
…algorithms for partial differential equations (PDEs), quantum machine learning, and statistical estimation, and the question of where they can beat the classical methods banks and asset…
Added 14 days ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
As a Senior Software Developer on our AI team, you will be a hands-on individual contributor who sets the technical bar for the internal AI research platform that accelerates Xanadu's R&D.…

KYYBA Inc

Java Developer

ON, Canada
Ontario, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 11, 2026
Posting language: English
Posted: Oct 12, 2026

Original job description

Job Title: (Java Developer)

About Kyyba:

Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.

At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

JOB DESCRIPTION

GCP, API, REST APIs, JavaScript, SQL, Spring Boot, AWS, Kubernetes, AIPGEE, Docker, Agile Software Development, Software Development Lifecycle, GitHub 1. AWS - Deploy or support basic applications using AWS services such as S3, EC2 or RDS 2. GCP - GCP 2.0 or GCP 3.0 cloud services such as Compute Engine, Cloud Storage, BigQuery to run an application or work with data. 3. API - Understand how an application communicates with another system through requests/responses and be capable of developing API endpoints for applications as well as invoking them. 4. REST APIs - Create or use HTTP endpoints (for eg. Using GET requests or creating a record with a POST request) 5. Java - Write and maintain Java code for application features, business logic, and error handling. 6. JavaScript - Write basic scripts or application functionality, such as validating form input or updating a webpage/UI. 7. SQL - Write queries to retrieve, insert, update, and summarize data in a relational database. 8. Kubernetes - Deploy and manage containerized apps such as checking pod status or updating a deployment. 9. Docker - Build and run a container for an application, so it behaves consistently across dev and test environments. 10. APIGEE - Use Apigee to publish and manage APIs, configure an API proxy, setup authentication, apply policies such as rate limits and monitor API traffic. 11. Agile Software Development - Participate in sprint planning, daily stand-ups, reviews, and retrospectives, and deliver work in small increments. 12. Software Development Lifecycle - Understand the stages of software delivery, from requirements and design through development, testing, deployment, and maintenance. 13. GitHub - Use GitHub to access a repository, create a branch, commit changes, open a pull request, and respond to review feedback. 14. Spring Boot - Build or support a basic Java application or REST service using Spring Boot.

Skills Preferred:

Artificial Intelligence & Expert System - Have an understanding of agentic AI workflows, data pipeline build and processing, AI evaluation strategies using RAGAS, understanding of RAG and vectorization, as well as LLM orchestration.

Experience Required:

Bachelor's degree in computer science, software engineering, information technology, or a related discipline, or equivalent practical experience. Full Stack software development experience. Programming experience in one or more relevant languages, such as: Python Java JavaScript or TypeScript Experience developing or consuming REST APIs and working with structured data formats such as JSON. Understanding of object-oriented programming, software design principles, and common application architecture patterns. Experience with relational databases, SQL, and basic data modeling. Experience using Git-based source control and participating in peer code reviews. Familiarity with automated unit and integration testing. Basic understanding of cloud computing, containerization, and CI/CD practices. Ability to diagnose software issues using application logs and debugging tools. Strong written and verbal communication skills. Ability to work collaboratively with product owners, architects, engineers, data specialists, testers, and operations teams. Experience with Angular, JS, HTML, CSS, Java, Spring Boot, SQL & Python. Extensive experience with GCP/AWS.

Experience Preferred:

Experience with Google Cloud Platform services such as Google Kubernetes Engine, Pub/Sub, Cloud Storage, or Cloud SQL. Experience with Docker, Kubernetes, Terraform, or similar cloud-native technologies. Experience developing frontend applications using React and TypeScript. Familiarity with event-driven architecture, asynchronous processing, and data pipelines. Experience implementing platform observability using logs, metrics, traces, dashboards, and alerting. Familiarity with OpenTelemetry or comparable observability standards and tooling. Experience with API specifications and tools such as OpenAPI or Swagger. Familiarity with authentication, authorization, role-based access control, and secure coding practices. Experience integrating AI or machine-learning services through APIs. Familiarity with prompt management, AI response validation, confidence scoring, or human-feedback capture. Experience working with telemetry, automotive diagnostics, connected-vehicle data, manufacturing information, or engineering lifecycle systems. General knowledge of diagnostic concepts such as DTCs, CAN, UDS, or DoIP is beneficial but not required. Experience working in an Agile or Scrum delivery model.

Education Required:

Bachelor's Degree

Education Preferred:

Master's Degree

Additional Information:

Design, develop, test, and maintain TOP platform components under the guidance of senior engineers. Build and integrate REST APIs, backend services, data-processing functions, and event-driven workflows. Develop integrations with approved vehicle, service, engineering, manufacturing, and software-factory data sources. Support the ingestion, normalization, validation, storage, and retrieval of telemetry and diagnostic information. Contribute to web-based interfaces and dashboards used to present diagnostic, operational, AI-performance, and platform-health information. Implement logging, metrics, distributed tracing, error handling, and health checks for platform services. Write unit, integration, API, and automated regression tests. Participate in code reviews and address feedback related to maintainability, performance, security, and coding standards. Support CI/CD pipelines, containerized deployments, configuration management, and cloud environment troubleshooting. Assist with the integration of AI services through governed APIs and standardized interface contracts. Implement role-based access controls and follow enterprise security, privacy, data-retention, and auditability requirements. Create and maintain technical documentation, including API specifications, deployment instructions, support procedures, and design notes. Participate in backlog refinement, estimation, sprint planning, demonstrations, and retrospectives. Investigate defects and operational issues using logs, metrics, traces, and other platform evidence. Identify technical risks, dependencies, and blockers and communicate them promptly to the delivery team.

Location: ( Onsite Position and KANATA, ONTARIO, Canada)

Disclaimer:

Kyyba is an Equal Opportunity Employer.

Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”

It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665

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More about this job

Responsibilities

Design, develop, test, and maintain platform components, including REST APIs, backend services, data-processing functions, event-driven workflows, and web interfaces. Support cloud deployments, integrations, observability, security, automated testing, documentation, and troubleshooting while collaborating with the delivery team.

Requirements

A bachelor's degree in computer science, software engineering, information technology, or a related field - or equivalent practical experience - is required, along with full-stack development experience and proficiency in relevant programming languages. Candidates should have experience with REST APIs, SQL and relational databases, Git-based collaboration, testing, cloud and containerization fundamentals, debugging, and cross-functional teamwork; a master's degree and cloud-native, AI, or automotive-domain experience are preferred.

Skills

Java
Spring Boot
REST APIs
SQL
JavaScript
Python
Google Cloud Platform
Amazon Web Services
Docker
Kubernetes
Apigee
GitHub
Agile Software Development
CI/CD
Automated Testing
API Integration

Visa sponsorship

Not detected in the job text

Keywords

Java
Spring Boot
JavaScript
TypeScript
Python
SQL
REST APIs
JSON
Google Cloud Platform
Amazon Web Services
Docker
Kubernetes
Terraform
Apigee
GitHub
CI/CD
Agile
Microservices
Event-Driven Architecture
Data Pipelines
Artificial Intelligence
Large Language Models
Retrieval-Augmented Generation
RAGAS
OpenTelemetry
Observability
Automated Testing
Role-Based Access Control
Automotive Diagnostics
Telemetry

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