Application Technical Support Specialist and Hybrid Cloud Full Stack Engineer

Application Tech Support Practitioner

Project Role : Application Tech Support Practitioner
Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge.
Must have skills : Red Hat OS Administration
Good to have skills : AWS Administration
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Cognitive Hybrid Cloud Full Stack Engineer


Summary
We're looking for a visionary Full Stack Engineer on cognitive Hybrid Cloud technologies across public and Private cloud Technologies (Thought leaders, Technical Leads and Practitioners) at senior career levels to work on business development, transformation and modernization solutions and technology crisis management. The focus is to manage client technology landscape and value add through innovation and though leadership, address complex technical challenges faced by our clients. We also have emerging research and collaboration with our eco-system partners which needs to be taken up for creating GTM Offerings, Co-Create Innovative Assets and developing new deal pipeline.

Key Responsibilities:
Design, build, and maintain scalable, secure, and highly available Public and Private cloud infrastructure on platforms such as AWS, Azure, and Google Cloud RHEL and SUSE and OLE - vmware /KVM/ pacemaker and Hyper V and/or AHV
Design, develop, and maintain scalable frontend and backend applications that automate and manage IaaS resources, such as compute, network, and storage.
Develop and manage full stack infrastructure Application including backend services (APIs, microservices) and API gateway for frontend and backend services.
Knowledge of Application Architecture Microservices vs Event Driven Architecture Vs Cloud Based Architecture Vs Cloud native architecture
Good experience in application modernization support, deploy, manage and maintain cloud native applications on Paas/ Cloud Native Architecture
Write efficient, maintainable code and manage integration between front-end interfaces and back-end infrastructure services.
Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi.
Automate deployment pipelines and manage CI/CD workflows using tools such as Jenkins, GitLab CI, or GitHub Actions.
Deploy and manage Platform-as-a-Service (PaaS) offerings.
Design, implement, and maintain database solutions, including relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, DynamoDB)
Monitor, troubleshoot, and optimize cloud infrastructure and application performance.
Collaborate with DevOps, security, and development teams to ensure seamless integration and delivery.
Manage containerization and orchestration using Docker and Kubernetes.
Ensure compliance with security best practices and organizational policies.
Continuously evaluate and implement new cloud technologies and tools to improve efficiency.
Provide technical guidance and support to team members and stakeholders.
Integrate and support AI-driven tools and frameworks, including Generative AI and Agentic AI technologies, within cloud infrastructure and applications.
Cloud Security knowledge and implementation experience
Cloud Landing zone network requirements knowledge and experience in implementing the right level of network capability for the cloud landing zones.
Basic knowledge and experience in Networking for cloud landing zones
Required Skills:
Hyper Converged Infrastructure and Private Cloud

RHEL and SUSE and OLE - vmware/KVM/ pacemaker and Hyper V and/or AHV


Infrastructure as a Code & Scripting

Terraform or Ansible - Shell Scripting and Python, Power Shell, Power CLi


Public Cloud IaaS and Associated PaaS

AWS / Azure/ GCP - S3, Blobs, VPCs, vNet, LBs Cloud Watch, Stack Driver, Azure Mon


Cloud Native and Containers

PODMAN, Docker Openshift and AKS and GKE and EKE


Operating Systems Platform

Windows/ ADS or AIX and Solaris and HPUX


Database Systems (RDBMS, No SQL and Cloud DB)

Oracle and MS SQL or MySQL and MongoDB or Couch DB- Cloud DB (Redis or Aurora, SQL Online


Middleware (Web Servers, Message Qs, Managed Apps, MFT, Job Schedulers

IIS, Apache, JBOSS, WebSphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFs


Backup and Storage

Commvault, IBM, Hitachi Backup, Cloud Front, Amazon S3, Azure Storage.


Observability & Environment Health

observability tools (Nagios /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOps


Enterprise AI

Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrails

Certifications (Required / Preferred):
AWS Certified Solutions Architect Professional
SUSE and RHEL certified
Microsoft Certified: Azure Solutions Architect Expert
Google Professional Cloud Architect
Certified Kubernetes Administrator (CKA)
HashiCorp Certified: Terraform Associate
Certified DevOps Engineer certifications (AWS, Azure, or Google)
Resource needs to be AI Ready.