Lead Developer L 35

Key Responsibilities:

1. Development and Implementation:

o Develop and deploy scalable, secure, and high-performance solutions using GCP services such as Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Cloud SQL, and Cloud Pub/Sub.

o Implement event-driven, distributed, and decoupled architectures.

o Build and manage microservices using an API-first approach.

2. Code Quality and Best Practices:

o Write clean, efficient, and reusable code following best practices.

o Implement CI/CD pipelines to automate build, test, and deployment processes.

o Perform code reviews to maintain high development standards and ensure adherence to best practices.

3. Collaboration and Coordination:

o Collaborate with architects, product owners, and designers to understand technical specifications and project requirements.

o Work closely with other developers, data engineers, and QA teams to deliver end-to-end solutions.

o Troubleshoot and resolve technical issues during development and post-deployment.

4. Performance Optimization:

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o Analyze system performance, identify bottlenecks, and optimize for scalability and cost-effectiveness.

o Ensure efficient processing in real-time and batch workflows.

5. Continuous Learning and Innovation:

o Stay updated on the latest GCP services, tools, and industry trends.

o Suggest and implement new tools and technologies to improve development efficiency and solution quality.

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Technical Expertise:

Frameworks: Event-driven and distributed frameworks; microservices development.

Front-End Technologies: Experience with React.js or Express.js.

Programming Languages: Expertise in Node.js (preferred), SQL, Java, or Go (GoLan) for backend development.

Workflow Orchestration: Hands-on experience with Apache Airflow/Composer.

Data Processing: Real-time and batch processing systems, EDW, and BigQuery.

Containerization and Automation: Proficiency in Kubernetes-based deployments and CI/CD tools like Jenkins, GitLab, or similar.

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Qualifications and Experience:

Bachelors degree in Computer Science, Information Technology, or a related field.

7+ years of experience in cloud-based solution development, with at least 3 years specializing in GCP.

Proven track record of implementing solutions in Infrastructure Modernization, Data Management, Analytics, or Application Modernization.

Strong experience with workflow orchestration, containerization, and API-based development.

Excellent problem-solving skills and attention to detail.

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Preferred Skills:

Familiarity with DevOps practices, including CI/CD pipelines and automated deployments.

GCP Certifications (e.g., Professional Cloud Developer, Professional Cloud DevOps Engineer) are a plus