Motorola Solutions Logo

Motorola Solutions

Sr. Software Engineer - .Net Core / C# / AI

Reposted 6 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Brazil
Senior level
Remote or Hybrid
Hiring Remotely in Brazil
Senior level
The AI Engineer will develop, optimize, and manage AI models using Large Language Models, ensuring integration with software systems and maintaining performance.
The summary above was generated by AI
Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department Overview
Focusing on the RapidDeploy product line leading cloud-native platform for public safety. We provide Next Generation 911 solutions that deliver intelligent information throughout the emergency response journey, empowering agencies and first responders to drive better outcomes in mission-critical situations. With a curated partner network, our platform combines mobile signals, critical datasets, and call information into a single operating system, improving emergency response with location accuracy, situational awareness, modern communications, and actionable insights. Our products improve outcomes and ultimately save lives.
At RapidDeploy, our mission is to reduce emergency response times by equipping dispatchers and call-takers with real-time situational awareness through advanced tactical mapping, and by delivering powerful analytics to help public safety agencies optimize their operations. Now, together with Motorola Solutions, we’re accelerating our shared vision of creating safer communities through smarter technology.
Job Description

We are looking for a Senior Software Engineer responsible for building C# applications, including anything from back-end services to their client-end counterparts. Your primary responsibilities will be to design and develop these applications, to integrate AI/ML components into our core services, and to coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is essential.
 

AI-Augmented Requirements: Translate application storyboards and use cases into functional applications by leveraging GenAI for story refinement, technical task breakdown, and automated documentation.

High-Performance Engineering: Design, build, and maintain efficient, reusable, and reliable C# code, utilizing agentic code-generation tools to accelerate development while maintaining strict human-in-the-loop oversight for security and logic.

System Optimization: Ensure the best possible performance, quality, and responsiveness of applications. Identify bottlenecks and bugs, devising solutions through a mix of traditional debugging and AI-powered diagnostic agents.

Agent & Skill Development: Architect and build custom AI Skills and autonomous Agents that integrate into the core application logic to solve complex data processing or decision-making tasks.

Lifecycle Contribution: Contribute to all phases of the SDLC, from initial ideation to automated testing, using AI to generate comprehensive test suites and edge-case scenarios.

Architectural Integration: Collaborate with software engineers to ensure AI components and agents are seamlessly integrated into our microservices architecture and meet required service-level objectives (SLOs).
#LI-RD1


Basic Requirements
Basic Requirements
  • Fluent English.

  • 5+ years of software engineering experience with C# and its surrounding ecosystem.

  • Practical experience with Agentic Workflows for autonomous code and skill creation.

  • Practical experience with SDLC Automation using AI-driven tools (Copilot, Cursor, Claude Code etc.)

  • Practical experience with Code Quality tools and auditing AI-generated logic for security.

  • Practical experience with Cloud DevOps and CI/CD

  • Practical experience with Microservices Architecture and RESTful API design.

  • Practical experience with containerization technologies, specifically Docker.

  • Practical experience with Cloud, and distributed systems.

  • Strong understanding of message queuing.

  • Strong understanding of asynchronous processing, with knowledge of concurrency patterns

  • Strong understanding of design and architectural patterns.

  • Familiarity with Domain Driven Design and Event Sourcing 

  • Ability to take the initiative and work independently, yet function as an integral part of a team.

Bonus points for experience with:

  • Experience deploying models via Azure OpenAI or similar cloud AI services.

  • Experience with Natural Language Processing (NLP) tasks, such as data extraction, classification, and normalization.

  • Familiarity with Python and common AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).

  • Experience with pipeline architecture.

  • Experience with Azure API Management, Azure Serverless Functions, Event Hubs, Service Bus, Application Insights, Cosmos DB.

  • Experience with Azure IoT and/or managing an IoT device platform.

  • Experience in 9-1-1 industry.

  • Experience with Azure DevOps and CI/CD.

  • Experience with computer networking.

  • Experience with complex regular expressions.

 

#LI-RD1
 


Travel Requirements
None
Relocation Provided
None
Position Type
Experienced

Referral Payment PlanYes

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

Top Skills

AWS
Azure
Docker
Hugging Face
Kubernetes
Python
PyTorch
TensorFlow

Motorola Solutions Toronto, Ontario, CAN Office

Toronto, Canada

Similar Jobs at Motorola Solutions

Yesterday
Remote or Hybrid
Brazil
Mid level
Mid level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The AI Ops Business Analyst will identify and implement automation opportunities to enhance efficiency in AI operations, collaborating with engineering and IT teams.
Top Skills: Automation ToolsCi/CdFlow-Charting ToolsInfrastructure-As-CodeJIRAMlops
Yesterday
Remote or Hybrid
Brazil
Mid level
Mid level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The QA Automation Engineer will conduct various levels of testing, maintain automated tests, mentor juniors, and collaborate with engineers to ensure high-quality software in an Agile environment.
Top Skills: AppiumAzure DevopsGatlingGitJavaJmeterK6PlaywrightRestassured
Yesterday
Remote or Hybrid
Brazil
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The Sr. Software Engineer will design and develop C# applications, ensure quality and performance, and collaborate with the team on various infrastructure layers.
Top Skills: .Net CoreApplication InsightsAsp.NetAzure Api ManagementAzure DevopsAzure IotAzure Serverless FunctionsC#Ci/CdCosmos DbEvent HubsService Bus

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account