Worker Sub-Type: RegularJob Description:About RadarBlackBerry Radar is a rapidly growing IoT platform that enables real-time tracking and analytics for thousands of trailers, containers, and high-value assets across North America. Learn more.Our platform has achieved strong market traction, with a fast-expanding device footprint and a lean, highly skilled engineering team tackling challenges in big data, cloud architecture, and performance optimization as adoption accelerates.Radar is at a critical inflection point. We’ve established product-market fit, our install base is scaling quickly, and our platform processes more data each month than ever before. We’re investing heavily in next-generation architecture to support the next five years of innovation and growth.Why This Role MattersEvery new customer adds more devices, more data, and more opportunities to innovate. We’re expanding our engineering team to build the next generation of Radar’s cloud platform, focusing on:High-volume telemetry ingestion and big data pipelinesCloud re-architecture for scalability and resilienceAdvanced reporting and analyticsAPI expansion and next-gen customer experiencesPerformance and reliability engineeringModern DevOps tooling in a microservices environmentTech StackBackend: Node.js, Express, NATSData: MySQL, Redis, ElasticsearchReporting: Flink, Cube.js, StarRocks, IcebergCloud: AWSFrontend: ReactDevOps: Docker, Kubernetes, GitHub ActionsWhat You’ll DoBuild and optimize backend microservices using Node.js, Express, NATS, Redis, MySQL, and Elasticsearch on AWSWork on data-intensive, real-time systems ingesting telemetry at scaleContribute to front-end development using ReactInfluence architectural decisions and technical direction across the platformEnsure reliability through automated testing, CI/CD, monitoring, and observabilityCollaborate in a high-trust, engineering-first culture where your work truly mattersWhat You BringRequired:4-5 years of experience in software developmentStrong backend development experienceSQL + NoSQL experience (MySQL, Elasticsearch, Redis)Experience building microservices and event-driven systemsComfort with AWS, Docker, CI/CD pipelines, and modern cloud toolingAbility to design and reason about complex system architecturesCuriosity, ownership, and willingness to dive into unfamiliar problemsStrong communication and collaboration skillsPreferred:Proficiency in JavaScriptAdvanced React experienceBackground in IoT, telematics, or large-scale distributed systemsWhy Engineers Love Working at RadarHigh impact — what you build directly drives customer value and product successSmall team, big reach — startup-style ownership with enterprise stabilityReal engineering challenges — scaling a high-volume IoT platform is genuinely hard and deeply rewarding#LI-NR1Scheduled Weekly Hours: 40About RadarBlackBerry Radar is a rapidly growing IoT platform that enables real-time tracking and analytics for thousands of trailers, containers, and high-value assets across North America. Learn more.Our platform has achieved strong market traction, with a fast-expanding device footprint and a lean, highly skilled engineering team tackling challenges in big data, cloud architecture, and performance optimization as adoption accelerates.Radar is at a critical inflection point. We’ve established product-market fit, our install base is scaling quickly, and our platform processes more data each month than ever before. We’re investing heavily in next-generation architecture to support the next five years of innovation and growth.Why This Role MattersEvery new customer adds more devices, more data, and more opportunities to innovate. We’re expanding our engineering team to build the next generation of Radar’s cloud platform, focusing on:High-volume telemetry ingestion and big data pipelinesCloud re-architecture for scalability and resilienceAdvanced reporting and analyticsAPI expansion and next-gen customer experiencesPerformance and reliability engineeringModern DevOps tooling in a microservices environmentTech StackBackend: Node.js, Express, NATSData: MySQL, Redis, ElasticsearchReporting: Flink, Cube.js, StarRocks, IcebergCloud: AWSFrontend: ReactDevOps: Docker, Kubernetes, GitHub ActionsWhat You’ll DoBuild and optimize backend microservices using Node.js, Express, NATS, Redis, MySQL, and Elasticsearch on AWSWork on data-intensive, real-time systems ingesting telemetry at scaleContribute to front-end development using ReactInfluence architectural decisions and technical direction across the platformEnsure reliability through automated testing, CI/CD, monitoring, and observabilityCollaborate in a high-trust, engineering-first culture where your work truly mattersWhat You BringRequired:4-5 years of experience in software developmentStrong backend development experienceSQL + NoSQL experience (MySQL, Elasticsearch, Redis)Experience building microservices and event-driven systemsComfort with AWS, Docker, CI/CD pipelines, and modern cloud toolingAbility to design and reason about complex system architecturesCuriosity, ownership, and willingness to dive into unfamiliar problemsStrong communication and collaboration skillsPreferred:Proficiency in JavaScriptAdvanced React experienceBackground in IoT, telematics, or large-scale distributed systemsWhy Engineers Love Working at RadarHigh impact — what you build directly drives customer value and product successSmall team, big reach — startup-style ownership with enterprise stabilityReal engineering challenges — scaling a high-volume IoT platform is genuinely hard and deeply rewarding#LI-NR1Benefits: The BlackBerry Employee Benefits programs offer a wide range of benefits that support your physical, financial and personal well-being. BlackBerry remains committed to offering affordable benefits including coverage for medical, dental, vision, life, disability insurance, retirement, employee share purchase program and paid-time-off to those that meet the eligibility requirements.Disclosure of Position Status: This job posting is part of a general recruitment effort without a guaranteed positionDisclosure of Artificial Intelligence:We do not use artificial intelligence (AI) to screen, assess, or select applicants at any stage of our recruitment process. All applications are reviewed and evaluated by our hiring team.
