Senior Software Engineer I – Backend & AI-Enabled

What you’ll do • 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 that support business-critical workflows.

• Collaborate with cross-functional teams, including frontend engineers, to deliver seamless end-to-end product experiences.

• Leverage AI-assisted development tools and practices to accelerate coding, testing, debugging, documentation, and code reviews while maintaining high standards of quality and security.

• Drive observability, reliability, automation, and operational excellence across services, 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.

What you'll bring: • 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.

 

Nice-to-Have Experience • Working knowledge of and modern frontend development practices.

• Building AI-enabled applications, agents, automation workflows.