Mid/Senior Full Stack Engineer

About this role

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.