CLOUD DEVELOPER

Position Summary

We are seeking a hands-on Mid-Level Azure Cloud Engineer to manage, maintain, and optimize our Microsoft Azure environment. The ideal candidate has strong experience across Azure infrastructure, networking, security, identity, automation, and cloud operations, and can

independently support day-to-day cloud administration an deployments.

Responsibilities

 Manage and maintain Azure infrastructure, including virtual networks, virtual machines,

storage, Azure SQL, App Services, Key Vault, and Azure Functions.

 Administer Microsoft Entra ID (Azure AD), RBAC, Conditional Access, and

identity/security policies.

 Monitor cloud health, performance, costs, and security using Azure Monitor, Log

Analytics, and Microsoft Defender.

 Implement and maintain Infrastructure as Code (Terraform, Bicep, or ARM templates).

 Support CI/CD pipelines using Azure DevOps and Git.

 Configure backups, disaster recovery, high availability, and business continuity solutions.

 Troubleshoot Azure networking, application, and infrastructure issues.

 Work closely with development, security, and infrastructure teams to ensure reliable cloud operations.

Qualifications

 4–7 years of Azure cloud engineering experience.

 Strong hands-on experience with Azure networking, compute, storage, App Services, Azure SQL, Key Vault, and Azure Monitor.

 Experience with Microsoft Entra ID (Azure AD), RBAC, MFA, Conditional Access, and identity management.

 Experience with Azure DevOps, Git, CI/CD, PowerShell, and Infrastructure as Code (Terraform, Bicep, or ARM).

 Knowledge of cloud security, governance, backup, disaster recovery, and cost optimization.

 Strong troubleshooting, documentation, and communication skills.

 Experience supporting production cloud environments in an enterprise setting.

Preferred Skills

 Experience with Kubernetes (AKS), Docker, Azure API Management, Azure Front Door, and Microsoft Defender for Cloud.

 Azure Administrator (AZ-104) or Azure Solutions Architect (AZ-305) certification preferred.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or

equivalent experience.

Job Title: Cloud DevOps Engineer

Mandatory Skills:

• Hands-on experience in any 2 cloud platforms – AWS, Azure, or GCP.
• Strong experience in Terraform (IaC).
• Cloud infrastructure provisioning, configuration, and management.
• Knowledge of cloud automation and deployment.

Experience: As per requirement

Availability: Immediate Joiners Only

Job Description:

About the Role

Euphoric Thought Technologies is looking for a skilled Python Developer with Azure experience to join our growing engineering team. The ideal candidate should have strong hands-on experience in Python development, cloud-native application development on Microsoft Azure, REST APIs, and modern software engineering practices. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable applications for enterprise clients.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications and microservices.
• Build and integrate RESTful APIs and backend services.
• Develop and deploy applications using Microsoft Azure cloud services.
• Implement scalable, secure, and high-performance cloud solutions.
• Work with Azure App Services, Azure Functions, Azure Storage, Azure SQL, and Azure Key Vault.
• Collaborate with frontend developers, DevOps engineers, QA teams, and business stakeholders.
• Write clean, reusable, and well-documented code following coding standards.
• Optimize application performance and troubleshoot production issues.
• Participate in code reviews and contribute to technical discussions.
• Support CI/CD implementation and deployment automation.

Required Skills

• 3–5 years of hands-on experience in Python development.
• Strong knowledge of Python frameworks such as FastAPI, Flask, or Django.
• Experience with Microsoft Azure cloud services.
• Good understanding of REST APIs and microservices architecture.
• Experience with Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, and Azure Key Vault.
• Good knowledge of SQL databases such as SQL Server or PostgreSQL.
• Familiarity with Git version control.
• Experience with Docker and containerization.
• Understanding of CI/CD pipelines using Azure DevOps or GitHub Actions.
• Knowledge of software design principles and object-oriented programming.
• Strong debugging, analytical, and problem-solving skills.

Preferred Skills

• Experience with Kubernetes (AKS).
• Exposure to messaging services such as Azure Service Bus or Event Hub.
• Knowledge of Redis or caching mechanisms.
• Experience with monitoring tools such as Azure Monitor or Application Insights.
• Understanding of Agile/Scrum development methodologies.

Educational Qualification

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Summary -

• We are looking for a Cloud Infrastructure Engineer to build and operate the Azure foundation for our AI workloads and serve as the working bridge between the Cloud Infrastructure and Data teams. You will own Terraform-driven Azure infrastructure, DevOps pipelines, and hands-on platform components, including Azure AI Foundry, Model Context Protocol (MCP) servers, and Databricks.

Responsibilities -

• Build and maintain Azure infrastructure as code with Terraform, including reusable modules and multi-environment patterns.
• Provision and operate Azure AI Foundry hubs and projects, including model deployments, data connections, and identity and network configuration.
• Design and secure MCP servers that expose internal tools and data to AI agents.
• Partner with the Data team to deploy and configure Databricks workspaces, including VNet injection, private endpoints, Entra ID integration, and Unity Catalog.
• Own CI/CD pipelines in Azure DevOps or GitHub Actions for infrastructure and AI platform deployments.
• Enforce guardrails for AI workloads, including Key Vault secrets management, managed identities, and network isolation.
• Monitor platform health, reliability, and cost with Azure Monitor and Log Analytics.
• Triage cross-team platform requests, document reference patterns, and remove blockers between Cloud and Data teams.\

Requirements -

• 4 to 8 years of experience in cloud infrastructure or platform engineering.
• Strong hands-on Azure experience, including networking, Entra ID, RBAC, and managed identities.
• Advanced Terraform skills, including module design and state management.
• Working knowledge of DevOps practices, CI/CD, and Git-based workflows.
• Working knowledge of Azure AI Foundry or Azure OpenAI, including access control and network integration.
• Practical understanding of MCP and the security considerations for connecting AI agents to enterprise systems.
• Hands-on Databricks platform experience, including workspace deployment, Unity Catalog, and cluster configuration.
• Scripting skills in Python, PowerShell, or Bash.
• Experience working within SOC 2 Type II or similar control frameworks.

Preferred Qualifications -

• Experience with RAG architectures or Azure AI Search.
• Experience with GPU capacity and quota planning in Azure.

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.

2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).

2+ years' experience in infrastructure design, platform engineering, or architecture.

Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.

Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).

Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.

Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.

Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.

Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.

Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.

Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).

Preferred

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

Company Overview:

Euphoric Thought Technologies is a technology services firm specializing in digital transformation and data-driven solutions. We partner with global enterprises to modernize their infrastructure, streamline complex workflows, and leverage cloud-native architectures to drive operational efficiency. Our culture is built on technical excellence, collaborative problem-solving, and a commitment to delivering scalable software solutions that solve real-world business challenges across the finance, retail, and logistics sectors.

Role Overview:

As a Python Developer with Azure expertise, you will be responsible for designing, developing, and maintaining robust data pipelines and cloud-based applications. You will work closely with cross-functional engineering teams and data architects to translate business requirements into high-performance technical solutions. Your work will directly influence the scalability and reliability of our client’s cloud infrastructure, ensuring seamless data integration and optimized performance in a high-stakes production environment.

Key Responsibilities:

- Architect and implement scalable Python-based applications to automate data processing tasks and enhance system functionality.

- Design and deploy end-to-end data pipelines using Azure Data Factory to ensure efficient data movement and transformation for internal stakeholders.

- Optimize cloud infrastructure performance by monitoring resource utilization and implementing cost-effective configuration changes within the Azure ecosystem.

- Collaborate with engineering leads to troubleshoot complex technical issues, ensuring minimal downtime and high availability for critical business applications.

- Document technical specifications and system architectures to facilitate knowledge sharing and long-term maintainability of codebases.

Required Skillset:

- Demonstrated proficiency in developing production-grade applications using Python, with a strong grasp of data structures and algorithms.

- Hands-on experience in configuring and managing cloud services within the Azure environment, specifically focusing on cloud computing best practices.

- Proven ability to build and orchestrate complex data workflows using Azure Data Factory to support large-scale data integration projects.

- Strong analytical mindset with the ability to communicate technical concepts clearly to both technical and non-technical team members.

- Capability to work effectively in an on-site environment in Greater Noida, maintaining high productivity and collaboration within an agile team structure.

- A minimum of 3 to 5 years of 

Position Summary

We are seeking a hands-on Mid-Level Azure Cloud Engineer to manage, maintain, and optimize

our Microsoft Azure environment. The ideal candidate has strong experience across Azure

infrastructure, networking, security, identity, automation, and cloud operations, and can

independently support day-to-day cloud administration and deployments.

Responsibilities

 Manage and maintain Azure infrastructure, including virtual networks, virtual machines,

storage, Azure SQL, App Services, Key Vault, and Azure Functions.

 Administer Microsoft Entra ID (Azure AD), RBAC, Conditional Access, and

identity/security policies.

 Monitor cloud health, performance, costs, and security using Azure Monitor, Log

Analytics, and Microsoft Defender.

 Implement and maintain Infrastructure as Code (Terraform, Bicep, or ARM templates).

 Support CI/CD pipelines using Azure DevOps and Git.

 Configure backups, disaster recovery, high availability, and business continuity solutions.

 Troubleshoot Azure networking, application, and infrastructure issues.

 Work closely with development, security, and infrastructure teams to ensure reliable

cloud operations.

Qualifications

 4–7 years of Azure cloud engineering experience.

 Strong hands-on experience with Azure networking, compute, storage, App Services,

Azure SQL, Key Vault, and Azure Monitor.

 Experience with Microsoft Entra ID (Azure AD), RBAC, MFA, Conditional Access, and

identity management.

 Experience with Azure DevOps, Git, CI/CD, PowerShell, and Infrastructure as Code

(Terraform, Bicep, or ARM).

 Knowledge of cloud security, governance, backup, disaster recovery, and cost

optimization.

 Strong troubleshooting, documentation, and communication skills.

 Experience supporting production cloud environments in an enterprise setting.

Preferred Skills

 Experience with Kubernetes (AKS), Docker, Azure API Management, Azure Front Door,

and Microsoft Defender for Cloud.

 Azure Administrator (AZ-104) or Azure Solutions Architect (AZ-305) certification

preferred.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.

Job Summary

We are looking for a skilled DevOps Engineer with hands-on experience in Terraform, Google Cloud Platform (GCP), infrastructure setup, and product installation. The candidate will be responsible for provisioning cloud infrastructure, configuring environments, installing software products, and ensuring smooth deployment and operation of applications.

Key Responsibilities

• Set up, configure, and manage cloud infrastructure on GCP.
• Use Terraform for Infrastructure as Code (IaC) and automated infrastructure provisioning.
• Perform software product installation, configuration, and upgrades.
• Manage infrastructure environments and resolve installation and configuration issues.
• Monitor infrastructure performance, availability, and reliability.
• Collaborate with development and operations teams to support deployments.
• Follow security, backup, and infrastructure management best practices.
• Troubleshoot technical issues related to infrastructure and product installations.

Required Skills

• Hands-on experience with Terraform.
• Working knowledge of Google Cloud Platform (GCP).
• Experience in infrastructure setup and provisioning.
• Experience in software product/application installation and configuration.
• Knowledge of Linux/Unix operating systems.
• Understanding of networking, cloud security, and troubleshooting.
• Good problem-solving and communication skills.

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

• Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
• Proficiency in IaC tools such as Terraform and/or CloudFormation.
• Solid scripting skills in Python, Bash, or equivalent for automation tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
• Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
• Strong troubleshooting mindset and experience resolving production-level issues.
• Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

• AWS certifications (e.g., SysOps Administrator).
• Experience with containerization (Docker, Kubernetes/EKS/ECS).
• Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
• CI/CD pipeline, infra pipelines.
• AWS services like compute, network, storage, security.
• Migration experience like Discovery/Assessments, TA, Infra Design.