Senior Software Engineer (Java + Cloud-Native) - Sustaining Engineering

Motorola Solutions•Waltham, MA

1d•Remote

About The Position

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. Sustaining engineering is part of the development within the MSI/Rave Mobile safety organization. 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. 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.

Requirements

US Citizenship with the ability to obtain security clearance as required by government contract.
Bachelors degree.
5+ years of software development/engineering and/or full stack experience.
3+ years building and operating highly scalable, highly available software systems.
2+ years of Java experience.
2+ years of experience in cloud platforms.
2+ years of Docker and Kubernetes experience.
Proficiency in prompt engineering and experience integrating AI Agents into your workflow to act as a force multiplier for developer velocity.
Strong proficiency in Java, Spring Boot, and common enterprise patterns.
Hands-on experience with AWS, Docker, and Kubernetes orchestration.
Mastery of data structures, OOP, networking, and reliability patterns.

Nice To Haves

MLOps Exposure: Experience assisting with the deployment, monitoring, or scaling of ML-backed services in production.
Event-Driven Architecture: Production experience with queues, pub-sub, or streaming (e.g., Kafka/SQS).
Full-Stack Capability: Frontend experience with React, Angular, or Vue.
Automation: Experience with Infrastructure-as-Code (Terraform/CloudFormation).

Responsibilities

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.
Reduce Technical debt and recommend platform/process improvements.
Develop and optimize MySQL reporting queries.