Cloud Migration Engineer[Azure/AWS]

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

Senior CloudOps Engineer

Technology: Microsoft Azure | Cloud Operations | Governance | FinOps

Experience: 6+ Years

Location: Remote-Trivandrum

Contract-to-Hire (C2H)

Role Overview

We are looking for a Senior CloudOps Engineer with strong hands-on Azure experience to

drive cloud operations, platform reliability, security governance, and cost optimization. The

role focuses on operational ownership, enforcing governance standards, managing

production environments, and ensuring secure, reliable, and cost-efficient cloud operations.

Key Responsibilities

• Own Azure platform reliability, availability, and operational readiness.

• Lead incident management, root cause analysis, and remediation.

• Implement Azure governance using Azure Policy, RBAC, PIM, naming conventions, and

tagging standards.

• Drive FinOps initiatives, including resource rightsizing, reservations, savings plans, and cost

optimization.

• Manage Azure Kubernetes Service (AKS), focusing on scaling, resource utilization, and

operational boundaries.

• Maintain operational runbooks, SOPs, and change management processes.

• Manage Azure subscriptions, management groups, networking, identity, and access controls.

• Identify and remediate governance gaps, excessive permissions, and configuration drift.

Must-Have Skills

• 6+ years of hands-on Microsoft Azure experience with production operations ownership.

• Strong expertise in Azure infrastructure, networking, subscriptions, and management groups.

• Experience with Azure governance, Azure Policy, RBAC, and identity/access management.

• Working knowledge of Infrastructure as Code (Terraform, ARM, or Bicep).

• Experience in incident management, root cause analysis, and operational remediation.

• Understanding of Azure cost optimization and FinOps practices.

• Ability to enforce security, governance, and operational standards.

Good-to-Have Skills

• Hands-on experience with Azure Kubernetes Service (AKS).

• Experience establishing CloudOps processes and governance frameworks.

• Exposure to Azure cost management, reservations, and savings plans.

• Experience with ITIL-based IT service management.

Mandatory Certifications (At least 2–3 certifications required):

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

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

o Microsoft Certified: Windows Server Hybrid Administrator Associate (AZ-140).

o Microsoft Certified: Azure Fundamentals (AZ-900).

o Preferred: ITIL 4 Foundation certification.

Note: This is a Cloud Operations-focused role, not a DevOps enablement or application

development position. Candidates must demonstrate strong operational ownership,

governance enforcement, security awareness, and cost accountability.

Cloud Infrastructure Engineer – BANG | 10+ Years

Location: Bangalore

Experience: 10+ Years

Job Description:

• Design, implement, and manage cloud infrastructure across AWS/Azure/GCP environments.
• Strong experience in cloud architecture, compute, storage, networking, and security.
• Manage VMs, VPC/VNet, load balancers, DNS, DHCP, firewalls, and IAM.
• Hands-on experience with Windows/Linux servers, VMware, virtualization, and infrastructure operations.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Monitor infrastructure performance, availability, and capacity using tools such as Grafana, Prometheus, or CloudWatch/Azure Monitor.
• Handle incident management, troubleshooting, disaster recovery, backup, and high-availability requirements.
• Work with cross-functional teams to support cloud migration, infrastructure upgrades, and production environments.
• Ensure infrastructure follows security, compliance, and operational best practices.

Must-Have Skills:

Cloud Infrastructure | AWS/Azure/GCP | Networking | Linux/Windows | VMware | Terraform | Ansible | DNS/DHCP | IAM | Monitoring | Backup & DR

Tasks & Responsibilities: (Major task and role person will have to perform – list all the relevant points)    

Together with the Business Cloud Services team, you will design, deploy, and operate a cloud‑native Kubernetes PaaS platform on Azure, ensuring high availability, security, and operational excellence.

Your main duties include:

·      Drive cloud‑native automation and self‑service capabilities, ensuring platform security, availability, and disaster recovery readiness

·      Design, operate, and continuously improve Kubernetes clusters and PaaS environments on Azure / AKS

·      Collaborate closely with development teams on deployment strategies, operational requirements, and platform integration

·      Review and maintain infrastructure‑as‑code configurations, CI/CD pipelines, and cloud‑native deployments

·      Build and maintain CI/CD pipelines using Azure DevOps

·      Implement and operate infrastructure‑as‑code solutions using Terraform, Helm, and Ansible

·      Manage containerized workloads and orchestration across cloud‑native environments

·      Set up, operate, and enhance monitoring, logging, and alerting stacks using tools such as Prometheus and Grafana

·      Coordinate with support teams on platform incidents, escalations, and post‑incident analysis

·      Contribute to incident response, continuous improvement, and operational stability

·      Support the development and refinement of DevOps practices, runbooks, and operational standards

·      Actively contributes to improving developer experience and platform reliability

Education & Trainings + Certifications: (Basic & Professional)

·      Bachelor’s degree (Preferably engineering graduate)

·      Azure Solutions Architect Expert Certification is a plus.

·      (optional) ITIL Foundation 

Technical know-how: (Mention the technology on which person must be experienced)

Mandatory

o  Bachelor’s degree in computer science, Information Systems, or a related field

o  5+ years of relevant professional experience in DevOps, Cloud Engineering, or Platform Engineering roles

o  Strong Linux system administration skills for operating production‑grade cloud‑native platforms

o  Proven experience with Microsoft Azure, including AKS and Azure DevOps tooling

o  Strong expertise in Kubernetes, including cluster operations, RBAC, networking, and storage

o  Hands‑on experience with container technologies such as Docker and container registries

o  Proficiency with Terraform, Helm, Ansible, and PowerShell

o  Experience building and operating CI/CD pipelines using Azure DevOps or equivalent tools

o  Cloud‑native monitoring and observability experience using Prometheus, Grafana, and alerting pipelines

o  Solid understanding of security and compliance requirements such as PCI DSS and SOC2

o  Scripting skills for automation and tooling (Bash, Python, PowerShell)

o  Practical experience using Git for version control

o  Excellent communication skills in English (Spanish is a plus)

o  Automation‑first mindset and strong collaboration skills within Agile teams

Good to know

Principles of Agile Software Development.

·      GitHub Actions, GitLab CI, Jenkins, Azure DevOps

·      Containers: Docker, Kubernetes (EKS / AKS / GKE)

·      Configuration Management: Ansible

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.

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.

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.

Experience: 4+ Years 

Job Title: DevOps Engineer / Cloud Engineer 

Job Summary 

We are looking for an experienced DevOps & Cloud Engineer with 4+ years of experience in cloud infrastructure management, Kubernetes administration, CI/CD pipeline automation, and containerization. The ideal candidate should have hands-on experience with Azure cloud services, Azure Kubernetes Service (AKS), Azure DevOps, Jenkins, Docker, Terraform, and infrastructure automation. 

The candidate will be responsible for managing cloud environments, automating application deployments, maintaining Kubernetes clusters, monitoring system performance, and ensuring the reliability, scalability, security, and availability of applications across development, testing, and production environments. 

Key Responsibilities 

• Design, deploy, and manage cloud infrastructure using Microsoft Azure services, including Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults, and Resource Groups. 
• Manage and administer Azure Kubernetes Service (AKS), Azure Arc-enabled Kubernetes, and Kubernetes clusters. 
• Develop, configure, and maintain CI/CD pipelines using Azure DevOps and Jenkins for automated application builds, testing, and deployments. 
• Containerize applications using Docker and deploy microservices-based applications on Kubernetes. 
• Manage Kubernetes resources, including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, and Namespaces. 
• Automate infrastructure provisioning and configuration management using Terraform, Ansible, and Infrastructure as Code (IaC) practices. 
• Implement Kubernetes networking, load balancing, Role-Based Access Control (RBAC), autoscaling, and resource optimization. 
• Monitor infrastructure and application performance using Prometheus and Grafana. 
• Troubleshoot application, deployment, networking, container, and infrastructure-related issues and perform root cause analysis. 
• Implement disaster recovery procedures, backup validation, failover testing, patch management, and environment upgrades. 
• Manage source code repositories, branching strategies, pull requests, code merges, and version control using Git, GitHub, and Azure Repos. 
• Maintain cloud infrastructure security, compliance, governance, high availability, and operational reliability. 
• Collaborate with development, infrastructure, and security teams to implement DevOps best practices and improve deployment efficiency. 

Mandatory Technical Skills 

1. Cloud Platforms: Microsoft Azure, Azure Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults. 
2. Containerization & Orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS). 
3. CI/CD & Automation: Azure DevOps, Jenkins, CI/CD pipeline development and maintenance. 
4. Infrastructure as Code: Terraform; exposure to Ansible and automated configuration management. 
5. Monitoring & Version Control: Prometheus, Grafana, Git, GitHub, Azure Repos. 

Preferred Skills 

• Azure Arc-enabled Kubernetes. 
• VMware Tanzu Kubernetes Grid (TKG). 
• Kubernetes Service Mesh, Ingress Controllers, and Horizontal Pod Autoscaling (HPA). 
• RHEL Linux administration and Shell Scripting. 
• Groovy scripting and SQL fundamentals. 
• Disaster recovery, incident management, and production support. 
• Experience supporting microservices architectures and application migration activities. 

Qualifications 

• Bachelor’s degree in Engineering (B.E.) or an equivalent qualification. 
• 4+ years of experience in DevOps engineering, cloud infrastructure, Kubernetes administration, and deployment automation. 
• Strong troubleshooting, analytical, and problem-solving skills. 
• Ability to work collaboratively with cross-functional teams and manage infrastructure-related incidents. 

Key Deliverables 

• Reliable, scalable, and secure cloud infrastructure. 
• Automated and efficient CI/CD pipelines. 
• Stable Kubernetes clusters and containerized application deployments. 
• Reduced infrastructure provisioning and deployment time through automation. 
• Effective monitoring, incident resolution, and disaster recovery readiness. 

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

TECHJAYS

THE AI REIMAGINATION COMPANY

Position DevOps Lead

Experience 10+ Years

Location Coimbatore / Hybrid

Joining Immediate / ASAP

Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability

Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps

About Techjays

At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.

Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.

We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.

The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.

You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.

This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.

Key Responsibilities

1. Cloud Infrastructure & Architecture

• Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
• Own cloud infrastructure architecture and operations across AWS or Azure.
• Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
• Establish infrastructure standards, architecture patterns, and operational best practices.
• Manage cloud resource provisioning, configuration, scaling, and environment management.
• Ensure infrastructure meets requirements for availability, performance, security, and reliability.
• Drive infrastructure improvements through automation and continuous optimization.

2. DevOps & CI/CD Engineering

• Design, implement, and maintain CI/CD pipelines for application development and deployment.
• Manage multi-stage deployment workflows across development, testing, staging, and production environments.
• Implement automated build, testing, deployment, and release processes.
• Establish reusable pipeline templates, deployment standards, and approval workflows.
• Manage deployment strategies, including rolling, blue/green, and canary deployments.
• Implement rollback mechanisms and ensure reliable production releases.
• Integrate CI/CD workflows with source control, artifact repositories, and container registries.
• Continuously improve deployment efficiency, release reliability, and engineering productivity.

3. Containerization & Kubernetes Management

• Architect and manage containerized application environments using Docker and Kubernetes.
• Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
• Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
• Work with Helm charts for application packaging and deployment.
• Optimize container resource utilization, application scaling, and cluster performance.
• Troubleshoot complex container and Kubernetes-related production issues.
• Establish best practices for container security and workload reliability.

4. Infrastructure as Code & Automation

• Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
• Automate infrastructure provisioning, configuration management, and environment setup.
• Develop reusable infrastructure modules and deployment automation workflows.
• Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
• Reduce manual intervention through standardization and automation.
• Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.

5. Monitoring, Reliability & Production Operations

• Establish centralized monitoring, logging, alerting, and observability across cloud environments.
• Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
• Monitor application availability, infrastructure health, resource utilization, and system performance.
• Lead troubleshooting and resolution of complex production incidents.
• Conduct root cause analysis and implement permanent corrective actions.
• Establish operational practices for backup, disaster recovery, availability, and business continuity.
• Improve system reliability through proactive monitoring and performance optimization.

6. Cloud Security & Governance

• Implement cloud security best practices across infrastructure and application environments.
• Manage IAM, RBAC, access controls, service identities, and secrets management.
• Secure cloud networking, virtual networks, firewalls, and infrastructure access.
• Implement container security and infrastructure hardening practices.
• Ensure cloud environments follow organizational security and compliance requirements.
• Identify infrastructure vulnerabilities and coordinate remediation activities.
• Establish secure deployment and configuration management practices.

7. AI Infrastructure & Engineering Collaboration

• Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
• Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
• Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
• Support the infrastructure requirements of AI applications across development, testing, and production environments.
• Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
• Evaluate infrastructure technologies and tools that support evolving AI application requirements.

8. Technical Leadership & Team Development

• Provide technical leadership to DevOps engineers and guide implementation across projects.
• Establish engineering standards, infrastructure best practices, and operational procedures.
• Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
• Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
• Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
• Drive continuous improvement across DevOps processes, tools, and engineering practices.

Required Technical Skills & Experience

1. Cloud Platforms

• 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
• Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
• Practical experience designing, deploying, and operating production-grade cloud infrastructure.

AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.

Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.

Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.

2. DevOps & CI/CD

• Strong experience designing and maintaining CI/CD pipelines.
• Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
• Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
• Experience implementing deployment automation and rollback strategies.
• Strong understanding of Git workflows and version control practices.

3. Containers & Kubernetes

• Strong hands-on experience with Docker and Kubernetes.
• Practical experience managing EKS or AKS environments.
• Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
• Experience with Helm and container orchestration.
• Ability to troubleshoot production container and Kubernetes environments.

4. Infrastructure as Code & Scripting

• Strong experience with Terraform and Infrastructure as Code practices.
• Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
• Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
• Strong understanding of Linux administration and system troubleshooting.

5. Monitoring & Reliability Engineering

• Experience implementing infrastructure and application monitoring.
• Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
• Understanding of incident management, root cause analysis, performance optimization, and system availability.
• Experience establishing alerting, operational dashboards, and reliability practices.

6. AI/ML Infrastructure Exposure

• Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
• Understanding of infrastructure requirements for deploying and operating AI-powered applications.
• Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.

Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.

Preferred Skills

• Experience implementing GitOps workflows using Argo CD or similar tools.
• Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
• Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
• Experience with cloud cost optimization and FinOps practices.
• Familiarity with AI/ML infrastructure and production GenAI applications.
• Experience with Python-based automation and infrastructure tooling.
• Relevant AWS, Azure, Kubernetes, or Terraform certifications.

What We're Looking For Beyond Skills

• Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
• Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
• Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
• System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
• Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
• Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
• Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
• AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
• Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.

Typical Technology Environment

AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products

What We Offer

• Competitive compensation aligned with experience and expertise.
• Coimbatore office-based work environment with hybrid flexibility.
• Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
• Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
• Paid holidays and flexible time off.
• Medical insurance covering self and family, up to ₹4 lakh per person.
• Opportunities to influence infrastructure architecture and engineering practices.
• A culture that values clarity, integrity, ownership, and continuous growth.

Join Techjays

If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.