About this role
- 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.
- 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.
- Working knowledge of and modern frontend development practices.
- Building AI-enabled applications, agents, automation workflows.
Tech stack
JavaTerraformAWSDockerKubernetes
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