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EXL

GCP Backend Developer / Engineer

Posted 2 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in India
Mid level
Remote or Hybrid
Hiring Remotely in India
Mid level
Design, build, and maintain backend services and APIs on GCP to deploy EXLdata.ai agents. Integrate agents with client data systems and metadata platforms, ensure data governance, lineage, quality, and pipeline reliability, collaborate with solution architects and AI/ML engineers, drive adoption of AI-assisted stewardship workflows, and participate in Agile delivery.
The summary above was generated by AI

Key Responsibilities:

  • Design, develop, and maintain backend services and APIs on Google Cloud Platform (GCP) to support EXLdata.ai™ agent deployment
  • Establish and operationalize the data stewardship operating model supported by AI agents
  • Build and integrate backend interfaces connecting EXLdata.ai™ agents with client data systems and governance workflows
  • Collaborate with Solution Architects and AI/ML engineers to configure governance, data quality, and lineage agents
  • Drive adoption of AI-assisted stewardship workflows and ensure business engagement across stakeholder teams
  • Support metadata platform integrations and ensure data pipeline reliability and performance
  • Participate in Agile sprints — daily standups, sprint demos, and retrospectives

Qualifications:

Skills & Experience

  • 4+ years of hands-on backend development experience on Google Cloud Platform (GCP)
  • Strong proficiency in backend languages such as Python, Java, or Go
  • Experience with cloud-native GCP services: Cloud Run, BigQuery, Pub/Sub, Cloud Functions, GCS
  • Familiarity with AI agent frameworks, governance workflows, and metadata platforms
  • Understanding of data governance concepts — lineage, stewardship, data quality, and cataloging
  • Experience with REST API development, microservices architecture, and CI/CD pipelines
  • Knowledge of EXLdata.ai™ platform is a strong plus
  • Ability to work in a fast-paced, client-facing Agile delivery environment

Preferred Skills

  • Experience in the insurance domain (Claims, Underwriting, or Policy data)
  • Familiarity with data governance tools such as Collibra, Alation, or similar platforms
  • GCP Professional Certifications: Cloud Developer, Data Engineer, or Architect
  • Experience working with offshore/onshore hybrid delivery models
Responsibilities

Key Responsibilities:

  • Design, develop, and maintain backend services and APIs on Google Cloud Platform (GCP) to support EXLdata.ai™ agent deployment
  • Establish and operationalize the data stewardship operating model supported by AI agents
  • Build and integrate backend interfaces connecting EXLdata.ai™ agents with client data systems and governance workflows
  • Collaborate with Solution Architects and AI/ML engineers to configure governance, data quality, and lineage agents
  • Drive adoption of AI-assisted stewardship workflows and ensure business engagement across stakeholder teams
  • Support metadata platform integrations and ensure data pipeline reliability and performance
  • Participate in Agile sprints — daily standups, sprint demos, and retrospectives

Qualifications:

Skills & Experience

  • 4+ years of hands-on backend development experience on Google Cloud Platform (GCP)
  • Strong proficiency in backend languages such as Python, Java, or Go
  • Experience with cloud-native GCP services: Cloud Run, BigQuery, Pub/Sub, Cloud Functions, GCS
  • Familiarity with AI agent frameworks, governance workflows, and metadata platforms
  • Understanding of data governance concepts — lineage, stewardship, data quality, and cataloging
  • Experience with REST API development, microservices architecture, and CI/CD pipelines
  • Knowledge of EXLdata.ai™ platform is a strong plus
  • Ability to work in a fast-paced, client-facing Agile delivery environment

Preferred Skills

  • Experience in the insurance domain (Claims, Underwriting, or Policy data)
  • Familiarity with data governance tools such as Collibra, Alation, or similar platforms
  • GCP Professional Certifications: Cloud Developer, Data Engineer, or Architect
  • Experience working with offshore/onshore hybrid delivery models
Qualifications

Key Responsibilities:

  • Design, develop, and maintain backend services and APIs on Google Cloud Platform (GCP) to support EXLdata.ai™ agent deployment
  • Establish and operationalize the data stewardship operating model supported by AI agents
  • Build and integrate backend interfaces connecting EXLdata.ai™ agents with client data systems and governance workflows
  • Collaborate with Solution Architects and AI/ML engineers to configure governance, data quality, and lineage agents
  • Drive adoption of AI-assisted stewardship workflows and ensure business engagement across stakeholder teams
  • Support metadata platform integrations and ensure data pipeline reliability and performance
  • Participate in Agile sprints — daily standups, sprint demos, and retrospectives

Qualifications:

Skills & Experience

  • 4+ years of hands-on backend development experience on Google Cloud Platform (GCP)
  • Strong proficiency in backend languages such as Python, Java, or Go
  • Experience with cloud-native GCP services: Cloud Run, BigQuery, Pub/Sub, Cloud Functions, GCS
  • Familiarity with AI agent frameworks, governance workflows, and metadata platforms
  • Understanding of data governance concepts — lineage, stewardship, data quality, and cataloging
  • Experience with REST API development, microservices architecture, and CI/CD pipelines
  • Knowledge of EXLdata.ai™ platform is a strong plus
  • Ability to work in a fast-paced, client-facing Agile delivery environment

Preferred Skills

  • Experience in the insurance domain (Claims, Underwriting, or Policy data)
  • Familiarity with data governance tools such as Collibra, Alation, or similar platforms
  • GCP Professional Certifications: Cloud Developer, Data Engineer, or Architect
  • Experience working with offshore/onshore hybrid delivery models

EXL Chennai, Tamil Nadu, IND Office

Chennai, India

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