Mid/Senior Full Stack Engineer

Encora · CR

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.

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