Senior Cloud Infrastructure Developer

3 days ago

Meerut, Uttar Pradesh, India beBeeCloudEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Cloud Infrastructure Position

We seek a skilled cloud engineer to design and develop scalable infrastructure. This role involves building secure, high-availability systems that power data-intensive applications deployed across cloud environments.

Key Responsibilities:

  • Design and implement secure infrastructure across public cloud (AWS, GCP, Azure) and hybrid/on-prem environments.
  • Define architecture blueprints, deployment models, and system interaction patterns.
  • Build production-grade services in Go, supporting application logic, data processing, service APIs, and integration workflows.
  • Deliver end-to-end solutions from prototyping to production deployment, including packaging for customer-controlled environments.
  • Integrate and support AI/ML pipelines, streaming systems (Kafka, Kinesis), and data stores (SQL, NoSQL, vector, graph).

Deployment & Operations:

  • Take ownership of implementation, from proof-of-concept to production rollout.
  • Provision and operate Kubernetes clusters and containerized workloads across environments.
  • Implement infrastructure as code using Terraform, CloudFormation, or similar tools.
  • Package and deploy solutions to both cloud and customer-controlled environments.
  • Instrument systems with observability tooling for logs, metrics, and traces.
  • Integrate and operationalize AI/ML workloads and streaming data systems.
  • Manage and tune database solutions.

Security & Access Control:

  • Implement IAM resource-level access controls across infrastructure and application layers.
  • Support secure deployment practices across multiple tenant or customer environments.

Required Skills:


  • 5+ years in cloud infrastructure engineering roles.
  • Experience designing and implementing backend services in Go.
  • Hands-on experience with AWS, Azure, or GCP.
  • Proven track record with hybrid or distributed cloud deployments.


  • Strong Kubernetes expertise.
  • Proficiency in Terraform, Ansible, or similar IaC/config management tools.
  • Application development experience in Go; additional scripting experience is a plus.
  • Skilled in scripting.
  • Familiar with databases and data integration.
  • Experience with AI/ML pipeline integration and streaming systems.


  • Experience integrating backend services with AI/ML pipelines or analytics workloads.
  • Familiarity with common enterprise VPN configurations.
  • Exposure to SaaS operations for customers in various settings.


  • Strong builder mentality, comfortable writing code, deploying infrastructure, and debugging end-to-end systems.
  • Clear communicator and team collaborator.
  • Comfortable working in a fast-moving environment.

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