Tech Stack

Description

You will design, build, and support scalable software solutions for internal and external users, combining hands-on development with technical leadership across modern applications, APIs, cloud-native services, and AI-enabled capabilities. You will partner with cross-functional teams to deliver high-quality, maintainable solutions and mentor engineers.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field
• 5+ years of professional software engineering experience
• Strong experience with Java and Spring Boot
• Experience with Angular 20+, React, or VUE
• Experience building and consuming RESTful APIs
• Strong SQL and relational database experience
• Experience with automated testing tools such as JUnit or Cucumber
• Experience with Git, Maven and/or Gradle
• Understanding of CI/CD, object-oriented design, and SOLID principles
• Experience debugging, tuning, and supporting enterprise applications
• Strong communication, collaboration, and mentoring skills

Responsibilities

• Design, develop, test, deploy, and support software applications across the full SDLC
• Build and enhance solutions using Java, Spring Boot, Angular, REST APIs, JSON, and SQL
• Translate business and product requirements into scalable, maintainable technical solutions
• Lead team-level technical implementation decisions and support sound engineering practices
• Contribute to application and service design with a focus on scalability, reliability, security, and performance
• Build and support API-first integrations and contribute to event-driven solutions where appropriate
• Maintain and modernize existing applications
• Perform code reviews and mentor junior and mid-level engineers
• Support testing, CI/CD, and release practices that improve software quality and delivery
• Partner with product, data, security, and platform teams to deliver business value
• Contribute to AI-enabled features such as intelligent search, recommendations, summarization, assistants, workflow automation, or predictive insights
• Integrate applications with AI/ML services, including model APIs and LLM-based capabilities where appropriate