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Added 1 hour ago
Software Engineering Intern (2027)
Databricks
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You will graduate in fall 2027 or spring 2028 with a degree in Computer Science, Engineering, or related subject
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SM
RQ11718 – Software Developer – Intermediate
S M Software Solutions Inc
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- Internship
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SM
RQ11718 – Software Developer – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Intermediate Software Developer with strong hands-on expertise in Java Enterprise Edition (Java EE), n-tier enterprise application development, Spring…
Added 2 hours ago
SM
RQ11718 – Software Developer – Intermediate
S M Software Solutions Inc
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- Internship
We are seeking an experienced Intermediate Software Developer with strong hands-on expertise in Java Enterprise Edition (Java EE), n-tier enterprise application development, Spring…
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KI
Java Developer
KYYBA Inc
ON · Ontario, Canada
- Contract
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…
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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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