Senior Software Engineer (Java + Cloud-Native)

Motorola Solutions•Chicago, IL

3d•$150,000 - $175,000•Remote

About The Position

Rave Mobile Safety is building and evolving the messaging platform that powers over a billion critical alerts each year across SMS, email, push notifications, and voice. This work sits at the center of life-safety communications—where reliability, scale, and speed matter every day. We’re investing heavily in cloud-native architecture, microservices, and modern engineering practices . If you enjoy building resilient distributed systems, shipping to production frequently, and raising the bar on platform reliability and developer velocity, this role is for you.

Requirements

US Citizen with the ability to obtain necessary security clearance as required by government contract.
5+ years building and operating highly scalable, highly available software systems.
Strong proficiency in Java and modern backend development (Spring Boot and common enterprise patterns).
Experience designing and implementing APIs and distributed system integrations.
Hands-on experience with cloud platforms (AWS preferred; Azure/GCP welcome).
Hands-on experience with containers (Docker) and Kubernetes (or equivalent orchestration experience).
Strong fundamentals: data structures, OOP, networking basics, reliability patterns.
Proficiency with SQL and relational databases (MySQL preferred).
Experience working in an Agile environment with strong cross-functional communication skills.
Bachelor’s degree in Computer Science (or equivalent practical experience).
Bachelors degree with 8+ years of software development/engineering and/or full stack experience
4+ years of Java experience
3 years of experience in cloud platforms
3+ years of Docker and Kubernetes experience

Nice To Haves

Production experience with microservices and/or event-driven architectures (queues, pub-sub, streaming).
Front-end development experience with React, Angular, or Vue (TypeScript a plus).
Experience with infrastructure-as-code and delivery automation (Terraform/CloudFormation + CI/CD).
Exposure to Machine Learning (ML) operations , including assisting with the deployment, monitoring, or scaling of ML-backed services in a production setting.
Familiarity with public safety / critical communications domains (state/local public safety, facilities/property management) is a plus.

Responsibilities

Build and ship cloud-native backend services in Java using Spring Boot , focused on high-throughput messaging and workflow.
Design and implement microservices and APIs that are secure, observable, and built to scale in a multi-tenant SaaS environment.
Partner with Engineering, Product, QA, and Operations to deliver features that are reliable, measurable, and production-ready.
Improve platform resilience and performance through smart architecture, instrumentation, load testing, and pragmatic optimization.
Build modern delivery workflows: CI/CD, automated testing, and safe deployments (blue/green, canary, progressive delivery).
Contribute to platform modernization (incremental evolution, not “big bang” rewrites), with an emphasis on maintainability and operational excellence.
Support the integration and operationalization of emerging technologies and services within our production environment.