GCP Lead Developer ( 7+ Yrs ) Immediate Joiner

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

GCP Integration Consultant Technical Lead


GCP Application Integration, Cloud Run, Big Query, Google Cortex framework.

Must know GCP Application Integration, Cloud Run, Big Query, Google Cortex


Key Responsibilities

  • Solution Design & Architecture

  • Define and design integration strategies, frameworks, and reusable patterns using GCP services.
  • Architect integration solutions involving

    Apigee, Pub/Sub, Dataflow, Cloud Functions, Cloud Run, BigQuery, and Cloud Storage

    .
  • Ensure scalability, high availability, and security in integration architectures.
  • Implementation & Delivery

  • Lead development teams in building integration flows, APIs, and event-driven architectures.
  • Configure and manage

    API gateways, service meshes, and hybrid integration platforms

    .
  • Oversee deployment, CI/CD, and monitoring of integration solutions.
  • Leadership & Collaboration

  • Act as the

    technical lead

    , providing mentorship and best practices to consultants and developers.
  • Collaborate with stakeholders, architects, and business teams to align integration solutions with enterprise strategy.
  • Conduct technical workshops, code reviews, and architecture reviews.
  • Governance & Security

  • Implement best practices for

    API security, authentication, authorization (OAuth2.0, IAM, Identity-Aware Proxy)

    .
  • Ensure compliance with organizational security, data residency, and governance policies.
  • Define monitoring, logging, and observability strategies using

    Cloud Logging, Cloud Monitoring, and Operations Suite

    .

Required Skills & Experience

  • Strong experience in

    Google Cloud Platform (GCP)

    , specifically in

    integration services and API management

    .
  • Expertise with

    Apigee API Management

    ,

    Cloud Pub/Sub

    ,

    Dataflow

    ,

    Cloud Functions

    ,

    Cloud Run

    , and

    BigQuery

    .
  • Hands-on experience with

    event-driven and microservices architectures

    .
  • Proficiency in programming languages such as

    Java, Python, or Node.js

    for integration development.
  • Knowledge of

    CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes, GKE)

    .
  • Strong understanding of

    enterprise integration patterns (EIP)

    and hybrid integration (cloud & on-prem).
  • Experience in

    leading technical teams

    and delivering large-scale integration projects.

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