GCP Lead Cloud API Developer

2 weeks ago

Franklin, United States CoreTek Labs Full time

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).

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