Senior Software Engineer, Motorola Solutions

• This role is ideal for a self-directed, confident engineer who excels in fast-paced, collaborative environments and is passionate about solving complex production, scalability, and performance challenges
• US Citizenship: Ability to obtain security clearance as required by government contract
• Experience: 5+ years building and operating highly available software systems
• AI Literacy: Proficiency in prompt engineering and experience integrating AI Agents into your workflow to act as a force multiplier for developer velocity
• Core Engineering: Strong proficiency in Java, Spring Boot, and common enterprise patterns
• Cloud & Containers: Hands-on experience with AWS, Docker, and Kubernetes orchestration
• Foundations: Mastery of data structures, OOP, networking, and reliability patterns
• Reduce Technical debt and recommend platform/process improvements
• Develop and optimize MySQL reporting queries
• Bachelors degree with 5+ years of software development/engineering and/or full stack experience
• AND 3+ years building and operating highly scalable, highly available software systems
• AND 2+ years of Java experience
• AND 2+ years of experience in cloud platforms
• AND 2+ years of Docker and Kubernetes experience
• 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

Desirable

• Rave Mobile Safety powers over a billion critical alerts each year, delivering reliable, high-impact communication when it matters most. We operate at the intersection of mission-critical reliability and modern, AI-augmented engineering—and we’re looking for engineers who thrive in that space
• We are seeking an experienced Senior Software Engineer to join our Sustaining Engineering team
• Build Cloud-Native Services: Ship backend services in Java and Spring Boot focused on high-throughput messaging and workflow
• Scale Intelligent Systems: Design microservices and APIs that are secure, observable, and built to scale in a multi-tenant SaaS environment
• Modern Delivery: Build CI/CD workflows and safe deployment strategies like canary, blue/green, and progressive delivery
• Platform Modernization: Lead the incremental evolution of our architecture toward event-driven patterns, emphasizing maintainability and operational excellence
• AI-Augmented Development & Agentic Workflows: Leverage AI coding assistants and autonomous agents (e.g., GitHub Copilot, Cursor, or custom agentic scripts) to handle complex refactoring, automate unit test generation, and streamline the SDLC while maintaining rigorous manual oversight for life-safety code
• Tech Environment (What We’re Building Toward)
• Backend: Java (modern versions), Spring Boot, REST, and gRPC
• Data: SQL (MySQL), strong data modeling and leveraging big data to inform business decisions
• Runtime: AWS, Docker, and Kubernetes
• Tooling: LLM-based productivity tools and AI Agents integrated into the SDLC for automated documentation, code reviews, and proactive bug detection