Cloud Computing & AWS Trainer at KGiSL Educational Institution · Malappuram, Thrissur, Palakkad · 1 - 4 years · ₹15L - ₹30L / yr · Bootstrapped · Posted 14 Jul 2026

AWS & Cloud Computing
We are looking for a passionate and motivated AWS & Cloud Computing Professional to join our team. The ideal candidate should have a strong understanding of cloud computing concepts and AWS services, with the ability to deploy, manage, and maintain cloud-based solutions.
Key Responsibilities:
- Design, deploy, and manage cloud infrastructure using AWS services.
- Monitor and maintain cloud environments to ensure performance and availability.
- Configure and manage AWS services such as EC2, S3, RDS, VPC, and IAM.
- Implement cloud security best practices and access controls.
- Troubleshoot and resolve cloud infrastructure issues.
- Collaborate with development and operations teams to support cloud-based applications.
- Assist in automating deployment and infrastructure management processes.
- Stay updated with the latest AWS technologies and industry trends.
Required Skills:
- Knowledge of AWS services and cloud computing concepts.
- Understanding of Linux, networking, and system administration.
- Familiarity with scripting languages such as Python or Shell.
- Basic knowledge of Docker, Kubernetes, or DevOps tools is an added advantage.
- Strong problem-solving and communication skills.

About KGiSL Educational Institution
About
Who We Are:
We are KG Group of Educational Institutions, a highly reputed name in Coimbatore with decades of experience in shaping bright futures. As a team, we are driven by innovation, collaboration, and a passion for fostering growth, both in our students and our employees. Our commitment to creating a positive, supportive work environment has earned us the prestigious “Great Place to Work” tag, reflecting our focus on employee well-being, growth, and a thriving work culture.
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We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.
Key Responsibilities
- Review, validate, and optimize existing Terraform code and AWS infrastructure.
- Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
- Design, build, and support secure, scalable, and highly available AWS environments.
- Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
- Lead infrastructure testing, performance tuning, and production readiness activities.
- Drive deployment and operationalization of the platform in the Production environment.
- Implement cloud governance, security, monitoring, and FinOps best practices.
- Troubleshoot and resolve complex cloud infrastructure issues.
Required Skills & Experience
- 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
- Proven experience designing, deploying, and managing AWS production environments.
- Strong hands-on experience with Terraform and Infrastructure-as-Code.
- Experience with CI/CD pipeline automation and DevOps practices.
- Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
- Experience in performance optimization, reliability, and cloud cost management (FinOps).
- Strong scripting and automation skills.
- Experience integrating enterprise applications through APIs and secure connectivity patterns.
About the Role
We are looking for an experienced AWS DevOps Engineer with around 4 years of hands-on experience to join our infrastructure/DevOps team. The ideal candidate will independently design, deploy, and maintain cloud infrastructure primarily on AWS, drive automation initiatives, mentor junior engineers, and work closely with cross-functional teams to build scalable, secure, and highly available systems. Exposure to Azure is a strong plus.
Key Responsibilities
· Design, deploy, and maintain robust, scalable, and secure infrastructure on AWS
· Architect and manage core AWS services such as EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS, Route 53, and CloudFront
· Build, own, and optimize CI/CD pipelines (e.g., CodePipeline, Jenkins, GitLab CI, GitHub Actions) to enable fast and reliable deployments
· Design and implement Infrastructure as Code (IaC) using Terraform / AWS CloudFormation
· Set up and manage monitoring, logging, and alerting solutions (CloudWatch, ELK, Prometheus, Grafana, Datadog, etc.)
· Implement and enforce security best practices including IAM policies, security groups, NACLs, KMS, Secrets Manager, and compliance standards
· Lead troubleshooting and root cause analysis for infrastructure, deployment, and production incidents
· Drive backup, disaster recovery, high-availability, and cost-optimization strategies (Reserved Instances, Savings Plans, right-sizing)
· Containerize applications and manage orchestration using Docker, ECS, and/or Kubernetes (EKS)
· Automate repetitive operational tasks through scripting and tooling
· Support any hybrid or multi-cloud initiatives involving Azure services, where applicable
· Mentor junior engineers and review their work, providing technical guidance
· Collaborate with development, QA, security, and product teams to support and streamline application deployments
· Maintain comprehensive documentation of architecture, configurations, processes, and runbooks
· Participate in on-call rotations and incident response as needed
Required Skills & Qualifications
· Bachelor's degree in Computer Science, IT, or a related field (or equivalent practical experience)
· 4+ years of hands-on experience working with AWS cloud services in a production environment
· Strong expertise in core AWS services: EC2, S3, VPC, IAM, RDS, Lambda, CloudWatch, ECS/EKS, Route 53, ELB/ALB, Auto Scaling
· Solid understanding of networking concepts (subnets, routing, security groups, load balancers, VPNs, VPC peering, Direct Connect)
· Strong scripting/programming skills in Python, Bash, or PowerShell for automation
· Hands-on experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation
· Proven experience with Linux and/or Windows server administration
· Strong understanding of CI/CD pipelines, Git-based version control, and branching strategies
· Solid experience with containerization and orchestration (Docker, ECS, or EKS/Kubernetes)
· Experience with configuration management tools (Ansible, Chef, or Puppet) is a plus
· Application Server Management — strong knowledge of networking, firewalls, load balancers, Nginx, Apache, etc.
· Ability to independently read, interpret AWS documentation, and troubleshoot complex issues
· Experience with cost optimization, security audits, and compliance frameworks (e.g., ISO, SOC2) is a plus
· AWS certification (Solutions Architect Associate/Professional, DevOps Engineer Professional) preferred
Good to Have
· Working knowledge of Microsoft Azure services (Virtual Machines, VNets, Azure DevOps, Azure Storage, Azure AD/Entra ID, AKS)
· Experience with multi-cloud or hybrid-cloud environments
· Familiarity with Azure Resource Manager (ARM) templates or Bicep
· Any Azure certification (AZ-104, AZ-400, etc.)
Soft Skills
· Strong analytical, problem-solving, and decision-making ability
· Excellent verbal and written communication skills
· Ability to mentor and guide junior team members
· Proactive, ownership-driven approach to infrastructure and incident management
· Strong collaboration skills in a cross-functional, team-oriented environment
· High attention to detail with a focus on reliability and scalability
We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.
Key Responsibilities
- Review, validate, and optimize existing Terraform code and AWS infrastructure.
- Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
- Design, build, and support secure, scalable, and highly available AWS environments.
- Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
- Lead infrastructure testing, performance tuning, and production readiness activities.
- Drive deployment and operationalization of the platform in the Production environment.
- Implement cloud governance, security, monitoring, and FinOps best practices.
- Troubleshoot and resolve complex cloud infrastructure issues.
Required Skills & Experience
- 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
- Proven experience designing, deploying, and managing AWS production environments.
- Strong hands-on experience with Terraform and Infrastructure-as-Code.
- Experience with CI/CD pipeline automation and DevOps practices.
- Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
- Experience in performance optimization, reliability, and cloud cost management (FinOps).
- Strong scripting and automation skills.
- Experience integrating enterprise applications through APIs and secure connectivity patterns.
Preferred Skills
- Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
- AWS Certifications (Associate/Professional).
- Banking or Financial Services domain 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
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.
Job Title : Senior AWS DevSecOps & AI Platform Engineer
Experience Required : 5+ Years in AWS / Cloud Engineering
Terraform Experience : 4+ Years
Location : Gurugram
Work Mode : Onsite
Employment Type : Full-time
About the Role :
We are looking for an experienced Senior AWS DevSecOps & AI Platform Engineer with strong expertise in AWS cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), CI/CD automation, cloud security, and database administration.
The ideal candidate will be responsible for designing and maintaining secure, scalable, reliable, and cost-efficient cloud environments while supporting microservices-based applications and implementing DevSecOps best practices. The role also involves building and deploying AI agents using Amazon Bedrock and Bedrock AgentCore, along with managing enterprise development and collaboration tools.
Mandatory Skills :
AWS (EC2, EKS, ECS, Lambda, S3, CloudWatch), Kubernetes, Terraform, Jenkins, Bitbucket Pipelines, CI/CD, DevSecOps, AWS Security Services (IAM, WAF, GuardDuty, Security Hub, KMS, Secrets Manager), Microservices, Helm, PostgreSQL, Oracle SQL, RDS, Jira, Confluence, Amazon Bedrock, Bedrock AgentCore, AWS Networking, and Cloud Cost Optimization.
Key Responsibilities :
- AWS Cloud Infrastructure : Design, implement, and maintain AWS infrastructure with a focus on scalability, availability, security, reliability, and cost optimization.
- Microservices & Containerization : Manage and support distributed microservices architectures, including deployment, monitoring, troubleshooting, performance optimization, service meshes, and API gateways.
- Kubernetes Administration : Administer and optimize Kubernetes clusters, including Amazon EKS and self-managed environments, covering upgrades, networking, workload management, scaling, and resource optimization.
- Cloud Security & Compliance : Implement and manage AWS security services, including IAM, GuardDuty, Security Hub, WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
- DevSecOps Implementation : Integrate security testing, vulnerability scanning, container security, and compliance-as-code tools into CI/CD pipelines.
- CI/CD & Source Control : Manage Bitbucket repositories, branching strategies, permissions, and Bitbucket Pipelines. Build and optimize Jenkins pipelines using declarative and scripted approaches.
- Infrastructure as Code : Develop and maintain Terraform modules, manage remote state and workspaces, detect infrastructure drift, and implement reusable infrastructure provisioning practices.
- Database Administration : Provision, manage, secure, and optimize AWS RDS databases, particularly PostgreSQL and Oracle, including backups, replication, patching, performance tuning, and migrations.
- Jira & Confluence Administration : Manage projects, workflows, automation rules, permissions, user access, spaces, schemes, and plugins.
- Monitoring & Reliability : Define and monitor SLIs, SLOs, and SLAs; implement observability best practices; and participate in incident management, root cause analysis, and post-incident reviews.
- AI Agent Development : Design, build, and deploy AI agents using Amazon Bedrock and Bedrock AgentCore, including agent runtime, memory, tools, gateway integration, identity and access management, guardrails, and lifecycle management across environments.
- Cloud Connectivity : Support hybrid cloud connectivity using AWS Direct Connect, VPN, and Transit Gateway.
- Cost Optimization : Apply FinOps practices to monitor cloud expenditure, optimize resource utilization, and improve infrastructure efficiency.
- API Integrations : Integrate third-party APIs while implementing authentication, rate limiting, error handling, and webhook management.
Required Skills & Qualifications :
- 5+ years of hands-on experience with AWS cloud services, including EC2, ECS, EKS, Lambda, ALB, CDN, S3, CloudWatch, Amazon Bedrock, and Bedrock AgentCore.
- Strong understanding of AWS networking, multi-account strategies, landing zone architecture, and hybrid connectivity.
- 4+ years of practical experience with Terraform, including module development, remote state management, workspaces, drift detection, and state operations.
- Extensive experience administering Kubernetes, preferably Amazon EKS, including Helm, Kustomize, operators, RBAC, network policies, autoscaling, and multi-tenancy.
- Proven experience managing distributed microservices, service meshes, API gateways, and inter-service communication.
- Strong knowledge of AWS security services, including IAM, Service Control Policies (SCPs), WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
- Experience implementing least-privilege access, zero-trust principles, and cloud security compliance controls.
- Hands-on experience integrating DevSecOps tools such as Snyk, Trivy, Checkov, and SonarQube into CI/CD pipelines.
- Understanding of OWASP security principles, CIS benchmarks, vulnerability management, and container security.
- Proficiency in Bitbucket repository administration, branch permissions, and YAML-based Bitbucket Pipelines.
- Strong experience developing and maintaining Jenkins CI/CD pipelines, shared libraries, plugins, and build agents.
- Experience administering AWS RDS databases, particularly PostgreSQL and Oracle SQL, including backup, replication, performance tuning, and migration activities.
- Experience administering Jira and Confluence, including workflows, permissions, automation, and plugin management.
- Working knowledge of Azure services, particularly Web Apps and Logic Apps/Workflows.
- Practical experience with Amazon Bedrock, including model invocation, guardrails, and AI agent development and deployment using Bedrock AgentCore.
- Understanding of third-party API integration, authentication mechanisms, rate limiting, error handling, and webhook management.
- Familiarity with FinOps practices and cloud cost optimization.
Good-to-Have Skills :
- Additional Azure experience, including networking, Azure SQL Managed Instance, and Azure Kubernetes Service (AKS).
- Hands-on experience with AI-driven Development Lifecycle (AI-DLC) methodologies and tools such as Kiro.
Relevant certifications, such as :
- AWS Certified Solutions Architect
- AWS Certified DevOps Engineer – Professional
- AWS Machine Learning or Generative AI certifications
- Certified Kubernetes Administrator (CKA)
- HashiCorp Terraform certifications
Ideal Candidate Profile :
The ideal candidate is a hands-on cloud and DevSecOps professional who can manage enterprise-scale AWS infrastructure, automate deployments, strengthen security controls, troubleshoot complex distributed systems, and support AI agent development. Strong problem-solving skills, an automation-first mindset, and the ability to collaborate across development, security, and infrastructure teams are essential.
WowPe is a leading fintech company revolutionizing the way businesses handle financial transactions. Our suite of innovative products includes a secure Payment Gateway for seamless online transactions, robust Payouts solutions to streamline bulk payments, and a versatile Point of Sale (POS) system for efficient in-store transactions. At WowPe, we’re dedicated to providing user-friendly, scalable, and reliable solutions that empower businesses to grow and succeed in today’s fast-paced digital economy.
We are looking for a highly skilled Cloud Infrastructure & Cloud Network Engineer to design, build, and manage secure, scalable hybrid cloud environments at WowPe. This role will focus on cloud networking, hybrid connectivity, infrastructure automation, security, reliability, and performance across on-prem and cloud platforms (AWS/Azure). You will play a critical role in ensuring high availability, security, and performance of our fintech platforms.
A Day in the Life
- Design and review cloud network architectures (VPC/VNet, routing, segmentation)
- Troubleshoot latency, connectivity, VPN, and performance issues
- Work with DevOps and application teams to support deployments and scalability
- Automate infrastructure provisioning and security guardrails
- Monitor network health, traffic flow, and system performance
- Ensure security, compliance, and disaster recovery readiness
- Support hybrid connectivity between on-prem data centers and cloud environments.
Key Responsibilities
Cloud Networking & Hybrid Architecture
- Design and implement VPC/VNet architectures, subnetting, routing tables, NAT, gateways, and secure segmentation
- Build and manage hybrid connectivity between on-prem data centers and cloud using Site-to-Site VPN, ExpressRoute, Direct Connect
- Configure and manage Layer 4 & Layer 7 load balancers for high availability and traffic distribution
- Architect DNS, CDN, and edge networking strategies for low-latency global access
Security & Zero-Trust
- Implement Zero-Trust networking using security groups, NACLs, identity-aware proxies, mTLS
- Design secure access controls and network isolation
- Work closely with security teams to ensure PCI, ISO, SOC compliance readiness
Automation, Platform & Reliability
- Automate infrastructure provisioning using Infrastructure as Code (Terraform/ARM/CloudFormation)
- Build self-healing, auto-scaling architectures with health checks and fault tolerance
- Support and manage Kubernetes clusters (EKS/AKS) including networking and service communication
- Integrate infra with CI/CD pipelines for safe and frequent deployments
Operations & Observability
- Perform advanced troubleshooting for latency, packet loss, MTU, routing loops
- Implement and manage monitoring, logging, and observability (Prometheus, Grafana, ELK, Azure Monitor, CloudWatch)
- Design and maintain disaster recovery architectures, multi-region networking, and replication strategies
- Ensure high availability, performance optimization, and cost efficiency
Basic Qualifications & Skills
- 4+ years of experience in Cloud Infrastructure & Cloud Networking
- Strong hands-on experience with AWS and/or Azure
- Deep understanding of VPC/VNet, routing, NAT, gateways, load balancers, DNS
- Experience with Hybrid connectivity (VPN, ExpressRoute, Direct Connect)
- Solid knowledge of network security, firewalls, access control, segmentation
- Hands-on experience with Infrastructure as Code (Terraform preferred)
- Experience in monitoring, troubleshooting, and incident handling
- Strong understanding of high availability, DR, and performance optimization
Preferred Qualifications
- Experience in fintech, BFSI, or high-compliance environments
- Exposure to Zero-Trust architecture and security best practices
- Experience with Kubernetes (EKS/AKS), service mesh, microservices networking
- Familiarity with CI/CD pipelines and DevOps practices
- Knowledge of CDN, edge networking, and global traffic management
- Experience with compliance frameworks (PCI-DSS, ISO 27001, SOC2)
- Ability to design large-scale, resilient, production-grade architectures
AWS / Kubernetes / OpenShift / Linux – Job Description
Role: Cloud / DevOps Engineer
Experience: 4–8 Years
Location: Bangalore
Mandatory Skills: AWS, Kubernetes, OpenShift, Linux
Job Summary
Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.
Key Responsibilities
- Manage and support AWS cloud infrastructure and services.
- Deploy and manage applications using Kubernetes and OpenShift.
- Perform Linux administration, troubleshooting, and issue resolution.
- Monitor application and infrastructure health and resolve production issues.
- Work on containerized applications and deployments.
- Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
- Troubleshoot cloud, container, and Linux-related issues.
- Collaborate with development and operations teams for deployments and releases.
- Follow security, availability, and operational best practices.
Mandatory Skills
- Strong hands-on experience in AWS
- Good experience with Kubernetes
- Hands-on experience in OpenShift
- Strong Linux administration and troubleshooting skills
- Experience in cloud/container environment support
- Good production troubleshooting and incident management skills
We are looking for an experienced AWS DevOps Engineer with 5–7 years of experience in cloud infrastructure management, automation, and deployment engineering. The candidate should have strong hands-on experience with AWS services, Infrastructure as Code (IaC), CI/CD pipeline implementation, Jenkins, and Ansible.
- Design, implement, and maintain AWS cloud infrastructure and services.
- Build, manage, and optimize CI/CD pipelines using Jenkins.
- Automate infrastructure provisioning and management using Terraform or AWS CloudFormation.
- Develop and maintain Ansible playbooks for configuration management and automation.
- Manage AWS services such as EC2, S3, VPC, IAM, EBS, ELB, Auto Scaling, Route 53, and CloudWatch.
- Implement cloud infrastructure security, access management, monitoring, and backup strategies.
- Automate deployment processes and improve application release efficiency.
- Monitor infrastructure performance and troubleshoot cloud-related issues.
- Manage networking components, including VPC, subnets, routing, security groups, NACLs, DNS, VPN, and load balancers.
- Manage VMware virtualized environments and perform server administration activities.
- Perform Linux and Windows server administration, patching, upgrades, and troubleshooting.
- Collaborate with development and infrastructure teams to improve system reliability and operational efficiency.
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











