Tech Lead - Java/J2EE, ReactJS, Spring Boot

The Engineering team is seeking a highly skilled and motivated Tech Lead to oversee development, design, and documentation. The successful candidate will lead and coordinate the team through development, testing, and production support.

Responsibilities

• Develop secure, high-quality production code while reviewing and debugging production issues.
• Guide decisions influencing product design, application functionality, and technical operations.
• Serve as a function-wide subject matter expert in one or more focus areas.
• Collaborate with peers and project decision-makers to implement leading-edge technologies.
• Contribute to a team culture of diversity, opportunity, and inclusion.

15+ years of hands-on experience in ReactJS and Java/J2EE development, including 5+ years as a tech lead, with deep expertise in Spring Boot and microservices architecture.

Proven experience designing and developing RESTful APIs and multi-layered enterprise applications.

Extensive knowledge of Google Cloud Platform (GCP), containerization (Docker), and orchestration (Kubernetes).

Proficiency with CI/CD tools and practices (GitHub, Jenkins, uDeploy, Git strategies).

Solid understanding of relational and NoSQL databases, as well as ORM frameworks (Hibernate, JPA).

Experience resolving complex technical challenges across distributed systems and hybrid cloud environments.

A collaborative mindset with a passion for mentoring and elevating engineering teams.

Desired skills:

Bachelor's or Master's degree in Computer Science or a related field.

Experience designing and implementing backend services using Java, Spring Boot, event-driven patterns, ReactJS, and Kafka.

Ability to lead architecture, design, and deployment efforts for new and existing services.

Contribution to cloud-native development (GCP preferred; Azure acceptable).

Proficiency in Java or Python for backend workflows, automation, and data processing.

Experience building automated CI/CD and testing frameworks following DevSecOps best practices., 15+ years of hands-on experience in ReactJS and Java/J2EE development, with at least 5+ years of as a tech lead, with deep expertise in Spring Boot and microservices architecture.

Target Base Salary Range: $150,000 - $180,000 USD Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate., Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position. Travel RequirementsUnder 10% Relocation ProvidedNone Position TypeExperienced Referral Payment PlanYes

Our U.S.Benefitsinclude:

• Incentive Bonus Plans
• Medical, Dental, Visionbenefits
• 401K with Company Match
• 10 Paid Holidays
• GenerousPaidTime Off Packages
• Employee Stock Purchase Plan
• PaidParental & Family Leave
• and more!

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. Department OverviewMotorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers. Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making. Job Description