2

Senior Android Developer Remote Jobs in Toronto, ON

The Role We're looking for an AI Web Developer to join our Operational Technology team and take ... You'll be the first dedicated internal owner of this surface, with a clear growth path to senior ...

The Role We're looking for an AI Web Developer to join our Operational Technology team and take ... You'll be the first dedicated internal owner of this surface, with a clear growth path to senior ...

... developer productivity. * Native Platform Integration: Use your experience in native iOS and/or Android development to guide platform-specific design decisions, integrate native capabilities, and ...

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Collaborating closely across iOS and Android to deliver consistent, highquality customer ...

... Developer Reporting to: Sr. Director, IT Billing & Revenue Systems Location ... Canada (Remote) Role Overview: Genesys is seeking a skilled and delivery-focused Salesforce ...

Senior Desktop Software Developer

Toronto, ON · Remote

CA$160K - CA$175K/yr

Senior Desktop Software Developer About Sync Sync.com is a leading end-to-end encrypted cloud ... Flexible remote work * Opportunity to lead the technical direction of a flagship desktop product

next page

Showing results 1-20

Senior Android Developer Remote information

What is the difference between Senior Android Developer Remote vs Android Developer?

AspectSenior Android Developer RemoteAndroid Developer
Required Experience5+ years, leadership skills1-3 years, entry to mid-level
CertificationsOptional, but preferred (e.g., Google Associate Android Developer)Optional
Work EnvironmentRemote, collaborative teamsOn-site or remote, depending on employer
ResponsibilitiesDesign, lead projects, mentor juniorsDevelop and maintain Android apps

The main difference between a Senior Android Developer Remote and an Android Developer is experience level and responsibilities. Senior roles typically require more experience, leadership, and project oversight, often working remotely. Android Developers may be earlier in their careers, focusing on coding and app development, with less emphasis on leadership or strategic planning.

What are the key skills and qualifications needed to thrive as a Senior Android Developer (Remote), and why are they important?

To thrive as a Senior Android Developer (Remote), you need advanced proficiency in Java/Kotlin, Android SDK, and a solid understanding of mobile architecture, typically backed by a computer science degree or equivalent experience. Familiarity with tools like Android Studio, Git, dependency injection frameworks (e.g., Dagger or Hilt), and CI/CD systems is essential, and certifications like Google’s Associate Android Developer can be advantageous. Exceptional problem-solving, self-motivation, and effective remote communication skills help you collaborate with distributed teams and manage project deadlines. These combined skills enable efficient development of high-quality applications, smooth teamwork, and adaptability in a dynamic remote work environment.

What are common challenges faced by Senior Android Developers working remotely, and how can they be addressed?

Senior Android Developers working remotely often encounter challenges such as coordinating across time zones, maintaining effective communication with distributed teams, and ensuring alignment on project goals. To address these, it's important to leverage collaboration tools like Slack or Jira, participate in regular video meetings, and establish clear documentation practices. Additionally, proactively seeking feedback and staying updated with the latest Android development trends can help maintain productivity and integration with the team.

What does a Senior Android Developer do when working remotely?

A Senior Android Developer working remotely designs, develops, and maintains advanced Android applications for smartphones and tablets. They collaborate with cross-functional teams to define, design, and ship new features, while also identifying and fixing bugs to improve performance. Remote senior developers are expected to lead projects, mentor junior developers, and ensure best practices in coding and application architecture. Communication and self-management skills are crucial for handling tasks and collaborating efficiently from a remote location.
Senior Cloud AI Software Developer (Remote)

Senior Cloud AI Software Developer (Remote)

TELUS

Toronto, ON • Remote

Other

Re-posted 3 days ago


TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 80 rated telecommunications companies


Job description

Join our team and what we'll accomplish together

The TELUS Bill Presentment team is at the forefront of our digital transformation initiative, revolutionizing how we deliver billing information to our customers. Our mission is to create a billing experience that's simple, clear, and accurate, meeting the rapidly evolving demands of our customers. In this pivotal role,  you'll spearhead innovation, architecting cutting-edge solutions that reimagine how customers engage with their billing experience.

Are you passionate about Cloud technology and AI advancement? Join our dynamic team where innovation meets impact. We're seeking bold thinkers who embrace change, thrive in collaborative environments, and are ready to shape the future of digital billing. You'll work alongside diverse stakeholders, driving transformative business outcomes while contributing to our customer-first digital evolution.

Where clarity meets technology, and simplicity drives success!

What you'll do:

We are seeking a highly skilled and experienced Senior Cloud AI Software Engineer with deep expertise in Google Cloud Platform (GCP), particularly in Google's Generative AI tools. As a key contributor, you will be responsible for architecting, developing, and deploying advanced Cloud and AI solutions using GCP services. You will collaborate with cross-functional teams to design and implement scalable, end-to-end AI models that solve real-world business challenges.

  • Design, develop, and deploy end-to-end AI models using GCP services
  • Leverage Google Gemini and other Google Generative AI tools (Vertex AI, Fuel IX, AutoML, BERT, T5) to build cutting-edge generative AI solutions
  • Integrate AI solutions into production environments, ensuring scalability, security, and performance
  • Lead projects involving large language models
  • Collaborate with data engineers, data scientists,  to optimize solution performance and streamline workflows
  • OpenAPI Development: Build, optimize, and document APIs leveraging OpenAPI standards for seamless integration with AI systems
  • LLM: Develop and deploy solutions using large language models (e.g., OpenAI GPT, Google Bard, or similar) for tasks like NLP, chatbots, summarization, and custom AI applications.
  • Performance Optimization: Ensure AI solutions are efficient, robust, and optimized for production environments.
  • Stay updated with the latest advancements in Google's AI tools and provide strategic insights for their adoption
  • Mentor other team members and guide them in best practices for AI/ML development
What you bring
  • Bachelor's in Computer Science, Data Science, Engineering, or related field
  • 3+ years in AI development and 5+ years in GCP or any other cloud platform
  • GCP certifications (ML Engineer, Data Engineer, Cloud Engineer)
  • AI Ethics and Responsible AI practices
  • Generative AI: Google state-of-the-art models, LLM deployment, fine-tuning, and prompt engineering
  • GCP Services: Vertex AI, Dataflow, Dataproc, Composer, Cloud SQL, Kubernetes, Cloud Functions, Pub/Sub
  • Model Deployment: RAG implementation, API integration
  • Development: Python, JavaScript, Java, OpenAPI standards
  • DevOps: CI/CD (GitHub Actions, Cloud Build, Deploy), Terraform, SRE practices
  • Deployment Patterns: Blue-green, canary
  • Leadership skill : GCP/AI project management, and team mentoring
  • Problem-solving and analytical thinking
  • Technical communication with stakeholders
  • Cross-functional team collaboration

Great-to-haves:

  • Demonstrated knowledge of DevOps methodologies and Site Reliability Engineering (SRE) practices
  • Extensive hands-on experience with Google Cloud Platform, particularly with Google Kubernetes Engine (GKE)
  • Deep expertise across Google Cloud products, including Cloud Storage, Pub/Sub, Filestore, Cloud Scheduler, cloud function, Google Monitoring/Alerts, Compute Engine, Dataflow
  • Working knowledge of Generative AI technologies and experience building API integrations with various Large Language Models (LLMs)
  • Understanding of the Telecommunications Industry. Familiarity with 3GPP standards, Knowledge of network technologies supporting 5G and 5G LTE.

What TELUS employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom