Need Candidate with PP No
Role: GCP Lead Cloud API Developer
Location: Franklin, TN(remote works too)
Type: Contract/ Fulltime
Primary skills mandatory: GCP, Java, Microservices, REST API, API development, and GCP services, with hands-on experience in developing secure, scalable APIs
Domain: Manufacturing / Automotive
Job Description:
Looking for experienced GCP Lead Cloud API Developer to lead the design, development, and implementation of cloud-native APIs on Google Cloud Platform (GCP). Candidate should have a strong background in cloud architecture, API development, and GCP services, with hands-on experience in developing secure, scalable APIs. Candidate will work closely with cross-functional/client functional teams to ensure the integration and functionality of cloud services with a focus on performance, security, and scalability.
Key Responsibilities:
- API Development:
- Lead the design, development, and deployment of secure and scalable RESTful APIs on GCP.
- Build APIs to support data ingestion from various platforms and formats (e.g., CSV, JSON streams, etc.).
- Implement best practices for API security, authentication, authorization (OAuth2, JWT)
- Develop API documentation using OpenAPI/Swagger standards or any as requested by Client.
- Cloud Architecture:
- Help design and implement GCP-based cloud architectures to support the development of APIs and services.
- Select appropriate GCP services for API hosting, storage, data processing (e.g., Cloud Functions, Cloud Run, App Engine, BigQuery, Pub/Sub, Cloud Storage).
- Optimize GCP resources for performance, cost-efficiency, and scalability.
- Infrastructure Setup:
- Help identify required GCP environments, including IAM policies, VPCs, Firewalls, and GCP services.
- Implement monitoring and logging using GCP Stackdriver (Cloud Monitoring and Logging) to ensure high availability and reliability.
- Ensure infrastructure as code practices using Terraform, Cloud Deployment Manager, or similar tools.
- API Gateway and Traffic Management:
- Implement/work with team to configure API Gateway for secure access to backend services.
- Help identify and set up traffic management, caching, throttling, and quotas for APIs.
- Design and implement strategies for API versioning and lifecycle management.
- Data Ingestion and Processing:
- Develop solutions for real-time and batch data ingestion using Pub/Sub, Dataflow, and other GCP data services.
- Work with external systems to pull in data (via CSV uploads, JSON streams, etc.) and process it in the cloud.
- Integrate GCP services like BigQuery, Cloud Storage, and Cloud SQL for data storage and analytics.
- CI/CD and Automation:
- Set up continuous integration and deployment (CI/CD) pipelines using Cloud Build, GitHub Actions, or similar tools for automating API deployments and cloud resource provisioning.
- Good to have – automated testing for APIs, including unit, integration, and performance testing.
- Security and Compliance:
- Ensure the security of the cloud environment through robust IAM policies, VPC setup, encryption, and audit logging.
- Implement security best practices, including encryption for data at rest and in transit.
- Maintain compliance with industry standards and regulations (e.g., GDPR, HIPAA, SOC2).
- Team Leadership:
- Provide technical leadership and guidance to the development team.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Mentor and support junior developers, ensuring best practices in coding, cloud architecture, and API development.
Required Skills and Experience:
- Cloud Expertise:
- 5+ years of experience with Google Cloud Platform (GCP), including hands-on experience with core services (Cloud Functions, Cloud Run, App Engine, BigQuery, Pub/Sub, Cloud Storage, Cloud SQL).
- Strong understanding of cloud architecture, microservices, and API management in GCP.
- API Development:
- Expertise in developing and managing RESTful APIs using GCP services.
- Experience with API Gateway, OAuth2, JWT, OpenAPI/Swagger for API security and documentation.
- Knowledge of API performance optimization and scalability.
- Programming Languages:
- Proficiency in one or more programming languages such as Python, Java, Node.js, or Go.
- Experience with serverless architectures (e.g., Cloud Functions) and containerized applications (e.g., Cloud Run, Kubernetes).
- Data Management:
- Experience with real-time and batch data ingestion solutions, including Pub/Sub, Dataflow, and BigQuery.
- Familiarity with structured and unstructured data storage solutions (e.g., Cloud Storage, BigQuery).
- Infrastructure as Code (IaC):
- Experience with Infrastructure as Code tools like Terraform, Cloud Deployment Manager, or similar.
- CI/CD Automation:
- Experience with setting up CI/CD pipelines using Cloud Build, Jenkins, or GitHub Actions for automating API deployment and testing.
- Security and Compliance:
- Strong knowledge of cloud security best practices, IAM, and VPC networking.
- Experience in ensuring compliance with industry standards and regulations (GDPR, HIPAA, etc.).
Preferred Qualifications:
- Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Data Engineer).
- Experience with hybrid or multi-cloud environments.
- Familiarity with DevOps and SRE (Site Reliability Engineering) practices.
- Experience with big data tools and analytics on GCP (Dataflow, Dataproc, BigQuery).
Regards
Sagar Bhardwaj
Sr. Technical Recruiter
300 Alexander Park |Suite #200|Princeton , NJ 08540
Office: +1 7324521006 Ext238
Email: [email protected]| URL: http://www.diverselynx.com