Senior Data Engineers- Sunshine

1 week ago

Pune, Maharashtra, India NCS Group Full time ₹ 12,00,000 - ₹ 24,00,000 per year

About the role
:

We are looking for a Cloud Engineer who will be at the forefront of building and maintaining the infrastructure that powers agentic AI workflows. You will design, implement, and scale secure systems that tie together diverse services (from APIs to cloud storage) ensuring that AI agents can operate reliably and efficiently across environments.

This is a hands-on engineering role where you will bridge backend systems, frontend interfaces, and cloud infrastructure to deliver robust, scalable AI-driven applications.

Responsibilities:

  • Agentic AI Workflows
  • Design, build, and deploy secure and scalable agentic AI frameworks that orchestrate tasks across APIs, databases, and cloud services.
  • Develop modular, reusable components for multi-agent orchestration and workflow automation.
  • Integrate heterogeneous systems (APIs, data sources, cloud storage, and event-based systems) into cohesive end-to-end solutions.
  • Cloud & Infrastructure
  • Implement cloud-agnostic solutions that work seamlessly across various CSPs.
  • Ensure strong cloud security practices and compliance in all deployments.
  • Build and maintain CI/CD pipelines (GitHub Actions, etc.) to support rapid iteration and reliable delivery.
  • Optimize performance and reliability of services running in production environments.
  • DevOps & Continuous Improvement
  • Lead optimization and continuous improvement initiatives for workflow execution and infrastructure usage.
  • Conduct technical reviews, ensure high code quality, and play a gatekeeping role in release management.
  • Troubleshoot and resolve complex issues across backend, cloud, and integration layers.

Requirements:

  • Strong proficiency in deploying full stack applications.
  • Hands-on experience integrating APIs, event-driven systems, and cloud storage into production workflows.
  • Expertise in at least one major cloud provider (Azure, AWS, or GCP), with the ability to design cloud-agnostic architectures.
  • Solid understanding of cloud security principles and ability to implement them in practice.
  • Experience with DevOps tools: CI/CD, containerization (Docker), and IaC (Terraform).
  • Strong analytical and problem-solving skills in complex, multi-service environments.

Technical Skills:

  • Cloud providers: Azure, AWS, GCP (cloud-agnostic design)
  • Cloud security best practices (IAM, secrets management, encryption)
  • Database & Cloud storage: PostgreSQL, VectorDB, S3, Blob Storage, GCS
  • API security (OAuth2, JWT, TLS)
  • Containerization & orchestration: Docker, Kubernetes
  • Monitoring & observability: Prometheus, Grafana, ELK/EFK, OpenTelemetry
  • Infrastructure as Code: Terraform, CloudFormation
  • Multi-agent AI frameworks / orchestration (Google ADK, Pydantic AI, or equivalents)
  • CI/CD pipelines: GitHub Actions
  • Artifact management: Nexus, Artifactory

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