We are CalAmp, a connected intelligence company that gives people the ability to track, monitor and recover their vital assets with real-time visibility and insights.

We are seeking a Software Engineer II based in Carlsbad, CA to build real-time data platforms powering millions of connected devices.

In this role, you will design and develop scalable, cloud-native services that process high-volume IoT data and deliver actionable insights. You will work on distributed systems using technologies like AWS, Kafka and Kubernetes to solve challenges related to performance, reliability, and scale.

This is an opportunity to work on high-impact systems and contribute to architecture decisions in a fast-paced environment.

Location & Work Authorization Requirements:

• This role is based in Carlsbad, CA
• Candidates must be authorized to work in the U.S on a permanent basis. We are unable to provide sponsorship at this time.

Equal Employment Opportunity
CalAmp is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. Employment decisions are based on qualifications, merit, and business needs.

• As a Software Engineer II, You will be part of a team responsible for designing and building scalable backend systems supporting CalAmp Telematics Cloud (CTC). You will build and scale microservices using modern cloud technologies
• Translate product requirements into scalable system designs and production-ready applications
• Create technical designs and contribute to system architecture decisions
• Design, build, and maintain efficient, reusable, reliable and scalable software
• Troubleshoot and resolve issues in production systems
• Ensure application performance, quality, and responsiveness
• Identify performance bottlenecks and develop solutions to these problems
• Develop and maintain automated tests to ensure system reliability
• Identify and implement application monitoring and metrics
• Evaluate and implement technologies that improve scalability and performance
• Participate in sprint planning and feature delivery
• Own features end-to-end in production environments
• Collaborate cross-functionally with engineering, product, and DevOps teams

Must Haves

• 3+ years of professional software engineering experience building and operating production systems
• Strong experience with Java and object-oriented programming
• Experience building backend services using frameworks such as Spring Boot
• Experience building microservices or distributed systems
• Experience working with a cloud platform (AWS preferred)
• Experience designing scalable and reliable systems
• Experience working in production environments (monitoring, debugging, performance optimization)
• Ability to write clean, maintainable, secure code
• Ability to work independently and collaboratively
• Strong organizational skills that reflect ability to perform and prioritize multiple tasks with excellent attention to detail
• Bachelor's degree or equivalent

Nice to Have

• Experience with Kafka, Redis, or event-driven architectures
• Experience with Kubernetes and Docker
• Experience with PostgreSQL or relational databases
• Exposure to IoT or real-time data systems
• Experience with CI/CD pipelines and modern DevOps practices
• Exposure to NoSQL databases (e.g., MongoDB, Elasticsearch)
• Experience in AI/ML, Agentic AI, AWS SageMaker or equivalent
• Experience with TypeScript/node.js and AWS Lambda
• Master’s in Computer Science or equivalent

Tech Stack

• Java
• Spring Boot/Quarkus
• AWS (EC2, RDS, Lambda)
• Kafka, Redis
• Kubernetes, Docker
• PostgreSQL/DocumentDB
  
  

Even if you don’t meet every requirement, we encourage you to apply if you bring relevant experience.

If you are interested in building scalable backend systems and solving complex engineering challenges, we’d love to connect!