Senior Cloud Cost Optimization Engineer

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

ZyrOps Technologies is looking for a Senior Cloud Engineer with strong hands-on experience in Microsoft Azure, cloud infrastructure, networking, security, migration, and modernization.

Key Responsibilities:

• Design and manage Azure Landing Zones using Hub & Spoke architecture.
• Manage Azure IaaS and PaaS environments.
• Implement Azure Policy, Monitor, Sentinel, and Defender for Cloud.
• Design and manage Azure Firewall, Load Balancer, Application Gateway, ExpressRoute, and VPN.
• Lead on-premises to Azure migration projects.
• Develop Disaster Recovery and application modernization solutions.
• Manage Azure Arc, AKS, and Azure Virtual Desktop (AVD).
• Work with Azure VMware Solution (AVS) and Nutanix.
• Troubleshoot cloud infrastructure, networking, and security issues.
• Optimize cloud environments for performance, scalability, security, and cost.
• Collaborate with DevOps, infrastructure, security, and development teams.
• Maintain technical documentation and follow cloud architecture and security best practices.

🚀 Hiring: Senior Azure Platform Engineer | Azure | Terraform | Kubernetes

📍 Location: India

💼 Employment: Full-Time | Long-Term

🎯 Experience: 10+ Years | 8+ Years Hands-on Azure

🔑 What We’re Looking For

▪️ Strong expertise in Azure Cloud Platform & Landing Zone Architecture

▪️ Advanced hands-on experience with Terraform & reusable IaC modules

▪️ Expertise in Kubernetes, Helm & container platforms

▪️ Strong understanding of Azure Networking, Entra ID, RBAC & Azure Policy

▪️ Experience with GitHub, GitHub Actions / Azure Pipelines & CI/CD

▪️ Hands-on GitOps & ArgoCD experience

▪️ Strong observability skills with Prometheus, Grafana & Azure Monitor

▪️ Experience designing and supporting microservices architectures

▪️ Knowledge of security, policy-as-code and IaC security scanning

▪️ Exposure to Azure Arc / Azure Local / Azure Stack HCI is a plus

8-12 years experience on Data Engineering role working with Databricks & Azure Cloud technologies.

• Bachelor’s degree in computer science, Information Technology, or related field.

• Strong proficiency in PySpark, Python, SQL.

• Strong experience in data modeling, ETL/ELT pipeline development, and automation • Hands-on experience with performance tuning of data pipelines and workflow

• Proficient in working on Azure cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake etc.

• Experience with data modeling, ETL processes, Delta Lake and data warehousing.

• Experience on Delta Live Tables, Autoloader & Unity Catalog.

Preferred - Knowledge of the insurance industry and its data requirements.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

• Excellent communication and problem-solving skills to work effectively with diverse teams

• Excellent problem-solving skills and ability to work under tight deadlines. 

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Key Responsibilities

Azure Infrastructure: Deploy, configure, and manage Azure IaaS and PaaS services, including Virtual Machines, Virtual Networks, Network Security Groups, Azure Firewall, VPN/ExpressRoute gateways, storage, App Services, and Azure SQL.

Azure Landing Zones: Implement and maintain landing zones aligned with the Microsoft Cloud Adoption Framework, including management groups, subscriptions, RBAC, Azure Policy, and resource tagging.

Cloud Migration: Execute on-premises-to-Azure migrations using Azure Migrate, Azure Site Recovery (ASR), and database migration tools.

Identity and Access Management: Manage Microsoft Entra ID integrations, Entra Connect, Conditional Access, Privileged Identity Management (PIM), and managed identities.

Backup and Disaster Recovery: Configure and manage Azure Backup, Azure Site Recovery, monitoring, and disaster recovery solutions.

L2 Support and Incident Management: Resolve infrastructure incidents and service requests within agreed SLAs, perform root-cause analysis, and escalate complex issues to L3 teams with detailed diagnostics.

Cloud Security: Apply security baselines using Microsoft Defender for Cloud and implement secure-score recommendations.

Automation and Infrastructure as Code: Automate routine tasks using PowerShell and Azure CLI, and work with ARM templates, Bicep, or Terraform.

Cost Optimization: Monitor Azure consumption, optimize resource utilization, and prepare monthly cloud usage and cost reports.

Technical Documentation: Prepare low-level designs, operational runbooks, as-built documentation, and project handover documents.

Presales Support: Assist with effort estimation, technical solution inputs, and proof-of-concept implementations.

Required Skills and Qualifications

3–5 years of hands-on experience in Microsoft Azure infrastructure.

At least 2 years of experience in customer-facing consulting or managed services environments.

Strong working knowledge of Azure networking, compute, storage, and identity services.

Practical experience delivering at least one end-to-end Azure migration or landing zone deployment.

Good understanding of Windows Server, Active Directory, DNS, and DHCP.

Hands-on scripting experience with PowerShell.

Working knowledge of Bicep, ARM templates, or Terraform.

Familiarity with ITIL processes and ticketing tools such as ServiceNow, Jira Service Management, Freshservice, or similar platforms.

Strong written and verbal English communication skills, with the ability to interact with customer IT teams.

Certifications

Mandatory

Microsoft Certified: Azure Administrator Associate (AZ-104).

Preferred

Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

Microsoft Certified: Azure Security Engineer Associate (AZ-500).

Microsoft Certified: Azure Network Engineer Associate (AZ-700).

Good to Have

Experience with Azure Virtual Desktop deployment and image management.

Exposure to Microsoft Sentinel or Microsoft Defender XDR.

Experience supporting UAE government or semi-government customers.

Arabic language proficiency.

Candidate Requirements

Currently based in the UAE with a valid residence visa, or able to transfer the visa without delay.

Available to join immediately or within 15 days.

A valid UAE driving licence is preferred for customer site visits.

Willing to work at customer premises and support occasional after-hours change windows

Job Description

We are looking for an Azure Cloud & Observability Engineer with strong experience in Azure infrastructure and enterprise monitoring tools such as Splunk, Grafana, and AppDynamics.

Responsibilities

• Design, deploy, and manage Azure cloud infrastructure and services.
• Monitor application and infrastructure performance using Splunk, Grafana, and AppDynamics.
• Configure dashboards, alerts, health rules, and monitoring metrics.
• Perform log analysis, troubleshooting, and root-cause analysis for production issues.
• Implement observability solutions for applications, cloud infrastructure, and services.
• Automate monitoring and operational activities using scripting.
• Support incident, problem, and change management processes.
• Collaborate with development, DevOps, and SRE teams to improve system reliability.
• Maintain monitoring standards, documentation, and operational procedures.

Primary Skills

• Microsoft Azure
• Splunk
• Grafana
• AppDynamics
• Cloud Monitoring & Observability
• Application Performance Monitoring (APM)
• Log Analysis & Troubleshooting

Secondary Skills

• Azure Monitor / Log Analytics
• Azure VMs, Storage, Networking
• Linux
• Python / PowerShell / Shell Scripting
• CI/CD
• Git
• ITIL / ServiceNow

Job Description

We are looking for an Azure Cloud & Observability Engineer with strong experience in Azure infrastructure and enterprise monitoring tools such as Splunk, Grafana, and AppDynamics.

Responsibilities

• Design, deploy, and manage Azure cloud infrastructure and services.
• Monitor application and infrastructure performance using Splunk, Grafana, and AppDynamics.
• Configure dashboards, alerts, health rules, and monitoring metrics.
• Perform log analysis, troubleshooting, and root-cause analysis for production issues.
• Implement observability solutions for applications, cloud infrastructure, and services.
• Automate monitoring and operational activities using scripting.
• Support incident, problem, and change management processes.
• Collaborate with development, DevOps, and SRE teams to improve system reliability.
• Maintain monitoring standards, documentation, and operational procedures.

Primary Skills

• Microsoft Azure
• Splunk
• Grafana
• AppDynamics
• Cloud Monitoring & Observability
• Application Performance Monitoring (APM)
• Log Analysis & Troubleshooting

Secondary Skills

• Azure Monitor / Log Analytics
• Azure VMs, Storage, Networking
• Linux
• Python / PowerShell / Shell Scripting
• CI/CD
• Git
• ITIL / ServiceNow

Role Descriptions: Azure data engineer

SN Required Information Details

1 Role** Azure Cosmos DB Developer

2 Required Technical Skill Set** Primary - PySpark Azure Cosmos DB

Secondary -Python, Microsoft Fabric

3 No of Requirements** 4

4 Desired Experience Range** 8 to 12

5 Location of Requirement Pune

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

1. Deep hands-on experience with Python,Pyspark,Spark batch,notebook in Azure

2. Experience in Cosmos DB – including data modeling, indexing, partitioning, consistency levels, and performance tuning.

3. Strong understanding of Cosmos DB APIs (Core SQL API, MongoDB API, etc.) and integration patterns.

4. Proficiency in query optimization and troubleshooting Cosmos DB performance issues.

5. Experience in data processing using PySpark and Python.

6. Familiarity with Microsoft Fabric for data engineering and analytics workflows.

7. Proficient using source code management tools such as Git or GitHub

8. Experience with Test Driven Development and / or Behavior Driven Development.

Good-to-Have 1. Exposure to data governance tools like Azure Purview.

2. Familiar with various design patterns

3. Familiar with Azure: SQL Managed Instance, Cosmos DB, Storage Services, Azure Functions

4. Global project experience, and excellent communication skills, verbal and written, and soft skills in agile projects

SN Responsibility of / Expectations from the Role

1 Design and implement scalable and high-performance solutions using Azure Cosmos DB.

2 Develop data ingestion and transformation pipelines using PySpark and Azure Data Factory.

3 Optimize Cosmos DB performance through indexing, partitioning, and query tuning.

4 Collaborate with architects and data engineers to ensure best practices in data modeling and cloud architecture.

5 Implement and maintain CI/CD pipelines for automated deployments and testing.

6 Troubleshoot and resolve technical issues related to Cosmos DB and data pipelines.

Desirable Skills:

Keyword:

Skills: Digital : Python~Digital : Databricks~Digital : PySpark~Microsoft Fabric~MySQL

Experience Required: 8-10.