Senior Software Engineer – Backend, AI-Enabled

• Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot
• Develop and maintain Infrastructure as Code (IaC) using Salt and Terraform to provision, manage, and support AWS infrastructure for SaaS applications
• Build and evolve RESTful APIs, microservices, and event-driven systems supporting business-critical workflows
• Collaborate with frontend engineers and cross-functional teams to deliver seamless end-to-end product experiences
• Leverage AI-assisted development tools for coding, testing, debugging, documentation, and code reviews
• Drive observability, reliability, automation, and operational excellence, including monitoring, incident response, troubleshooting, and performance optimization
• Participate in architecture discussions, technical design reviews, and engineering best-practice initiatives
• Support production systems through on-call participation, incident management, and continuous service improvements
• Mentor and support engineers through code reviews, technical guidance, and knowledge-sharing activities

• 5+ years of professional software engineering experience building enterprise-grade applications
• Strong expertise in Java and Spring Boot development
• Strong expertise in Infrastructure as Code (IaC), with hands-on experience using Salt and Terraform
• Experience designing and building cloud-native backend systems using RESTful APIs, microservices, Docker, Kubernetes, and related container orchestration technologies
• Strong understanding of distributed systems, scalability, performance, reliability, and secure software design principles
• Experience with cloud platforms such as AWS
• Hands-on experience with CI/CD pipelines, automated testing, and modern DevOps practices
• Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Codex, Windsurf, Kiro, or similar platforms
• Ability to critically evaluate, validate, and improve AI-generated code while maintaining quality, security, and maintainability standards
• Interest in continuously learning and applying emerging AI-assisted development practices
• Excellent problem-solving, debugging, and analytical skills
• Experience with observability, monitoring, and production support practices
• Ability to work effectively in Agile/Scrum environments

• Remote work arrangement