Job Title: Full Stack Lead (Java Microservices + GCP)
Job Summary
We are seeking an experienced Full Stack Lead with strong expertise in back-end (Java, Spring Boot, Microservices), and cloud platforms (GCP) front-end (Vue.js Optional) . This role requires a highly skilled professional who can lead end-to-end architecture, design, and delivery of scalable, cloud-native applications.
The ideal candidate will drive technical strategy, mentor teams, and ensure engineering excellence across the full software development lifecycle while leveraging Google Cloud Platform services.
Key Responsibilities
- Lead the design, development, testing, release, and maintenance of scalable full-stack applications.
- Design and build backend services using Java, Spring Boot, and microservices architecture.
- Develop and deploy cloud-native applications on Google Cloud Platform (GCP).
- Leverage GCP services such as Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery for scalable solutions.
- Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions.
- Present high-level and low-level design approaches before development begins.
- Contribute to architectural decisions, technical strategy, and engineering roadmaps.
- Ensure application performance, scalability, security, and reliability across front-end and back-end systems.
- Implement monitoring, logging, and alerting solutions to proactively identify issues.
- Write clean, reusable, and maintainable code following best practices.
- Develop and execute unit, integration, and system tests to ensure code quality.
- Troubleshoot and resolve complex technical and performance issues.
- Drive CI/CD pipelines and automate build, test, and deployment processes.
- Work in Agile teams, contributing to sprint planning, estimation, and delivery.
- Mentor and guide junior and mid-level engineers across full-stack development.
- Document “as-is” and “to-be” processes and support continuous improvement initiatives.
Required Skills & Qualifications
- Bachelor’s Degree in Computer Science, Engineering, or related field.
- 8–10+ years of experience in software development with strong full-stack expertise.
- Proven experience leading technical teams and driving architecture decisions.
Back-End Expertise
- Strong proficiency in Java and Spring Boot.
- Experience designing and building microservices and distributed systems.
- Expertise in RESTful APIs, API gateway patterns, and event-driven architecture.
- Strong knowledge of database design, querying, and integrations.
GCP & Cloud Expertise (Mandatory)
- Hands-on experience with Google Cloud Platform (GCP) services such as:
- Cloud Run, GKE (Google Kubernetes Engine)
- Pub/Sub, Cloud SQL, BigQuery
- Experience designing, deploying, and managing cloud-native applications.
- Strong understanding of cloud architecture, scalability, and cost optimization.
- Familiarity with IAM, networking, and security best practices in GCP.
Front-End Expertise(Optional)
- Strong experience with Vue.js (Vue 2/3), Vuex/Pinia, and Vue Router.
- Deep understanding of component lifecycle, reactive programming, and state management.
- Experience with front-end testing tools such as Jest, Vue Test Utils, and Cypress.
- Ability to build responsive, high-performance, and user-friendly interfaces.
DevOps & Tools
- Experience with Docker and Kubernetes for containerization and orchestration.
- Strong exposure to CI/CD tools such as Jenkins, GitHub Actions, or Bitbucket Pipelines.
- Experience with monitoring and logging tools (e.g., Sentry, Stackdriver/Cloud Monitoring).
Engineering Practices
- Strong understanding of SDLC, Agile methodologies, and DevOps practices.
- Experience in building scalable, resilient, and secure systems.
- Strong debugging, troubleshooting, and performance optimization skills.
Nice to Have
- Experience with AWS or Azure in addition to GCP.
- Knowledge of other front-end frameworks (React or Angular).
- Understanding of accessibility standards and cross-browser compatibility.
- Experience with CDNs and web performance optimization techniques.
- Familiarity with real-time analytics and observability tools.
- Proficiency with Git and version control best practices.
