Mid/Senior Full Stack Engineer

Job Title: Mid/Senior Full Stack Engineer Key Skills: Java, Spring Boot, React, REST APIs, Microservices, JavaScript, TypeScript, Python, Bash, CI/CD, Docker, AI-Assisted Development Experience: 3+ YOE Location: San José, Costa Rica Mode: Hybrid – 2–3 days per week on-site We at Coforge are hiring Mid/Senior Full Stack Engineer (#006fu00000QeELXAA3-9) with the following skill set. Key Responsibilities - Design, develop, and own end-to-end features across backend and frontend layers, from technical design and development through deployment and production support. - Build scalable RESTful APIs and microservices using Java and Spring Boot while contributing to frontend development primarily with React. - Manage CI/CD pipelines, containerized deployments, production troubleshooting, and operational automation using Python and Bash. - Leverage AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code to accelerate coding, testing, debugging, and documentation while ensuring code quality and security. Required Skills & Qualifications - 3+ years of professional software development experience. - Strong Java programming skills and understanding of object-oriented design principles. - Hands-on experience developing microservices using Spring Boot. - Experience designing and integrating RESTful APIs and working with relational or NoSQL databases such as PostgreSQL, MySQL, or MongoDB. - Frontend development experience with React or comparable modern frameworks, including JavaScript/TypeScript, HTML, and CSS. - Experience with unit and integration testing using tools such as JUnit, Mockito, or Jest. - Hands-on experience with CI/CD pipelines, Docker, and tools such as Jenkins, GitHub Actions, or GitLab CI. - Proficiency in Python and Bash scripting for automation and operational troubleshooting. - Strong production debugging skills, including monitoring and logging, and proficiency with Git-based collaborative workflows. - Hands-on experience with AI coding assistants and LLM tools, with the ability to review and validate AI-generated code for correctness, security, and maintainability. Preferred Skills: - Experience with Go and its ecosystem. - Exposure to Kubernetes and cloud platforms such as AWS, GCP, or Azure. - Experience with system design, scalability, and performance optimization. - Knowledge of observability tools such as Prometheus, Grafana, Splunk, or OpenTelemetry. - Experience building AI-powered features or integrating LLM APIs, including RAG, AI agents, or MCP. - Experience applying AI to engineering workflows such as test generation, code reviews, documentation, or developer tooling. - Ability to work independently with minimal supervision and take full ownership of features. Posted On: 22-10-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.