Infrastructure Technical Support Specialist

Infra Tech Support Practitioner

Project Role : Infra Tech Support Practitioner
Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting.
Must have skills : Infrastructure As Code (IaC)
Good to have skills : Docker Kubernetes Architecture and Design, Nutanix Architecture, Microsoft Azure Architecture
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary :-

We're looking for a visionary FullStack Engineers on cognitive systems on-prem HCIs, Private cloud and across public cloud stacks , to work on business critical client environments ,Cross technology Migrations , modernization solutions and technology crisis management. The focus is to manage client technology landscape and value add through innovation and address complex technical challenges faced by our clients

Key Responsibilities:
Design, develop, and maintain end-to-end cognitive HCIs, Private cloud integrating intelligence into traditional web stacks.
Develop and manage full stack infrastructure Application including backend services (APIs, microservices) and API gateway for frontend and backend services.
Understand the impact of GPU based computing and have experience in deploying High Performance Computing environments
AWS Outpost, Azure Stack, Google cloud VPC Certified and implementation knowledge.
Tanzu, Red Hat Openshift cluster deployment on Private cloud Deisgn, Deploy and Maintain.
Develop cloud-native back-end services using Node.js, Python (FastAPI, Flask), or Java to connect AI models with application logic.
Integrate AI/ML models (TensorFlow, PyTorch, scikit-learn) into production-ready APIs and microservices.
Write efficient, maintainable code and manage integration between front-end interfaces and back-end infrastructure services.
Collaborate with product, design, ML, and DevOps teams to build intelligent workflows and user experiences
Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, Azure Dev Ops or Pulumi.
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)
Collaborate with DevOps, security, and development teams to ensure seamless integration and delivery.
Ensure platform observability via metrics, logging, and monitoring frameworks (e.g., Prometheus, ELK, CloudWatch).
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.
Required Skills:
Systems Operatioms and Engineering

RHEL and SUSE and OLE and/or Wimdows/Hperv and/or AIX/HPUX/Soalris


Hyper Converged Infrastructure and Private Cloud

Vmware/ Hyper V/ KVM//Pacemaker / AHV /OpenStack / Scale Computing / Nvidia Omniverse


Infrastructure as a Code & Scripting

Terraform or Ansible - Shell Scripting and Python, Pwer 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


Database Systems (RDBMS, No SQl and Cloud DB)

Orcle and MS SQL or MySQL and Mongo or Couch - Cloud DB (Redis or Aurora, Sql online


Midleware (WebServers, Message Qs, Managed Apps, MFT, Job Schedulers

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


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):
Systems Operatioms and Engineering Professional
VMware Certified Cloud Expert -the VMware Certified Professional VMware Cloud (VCP VMC) 2022
RHCE ( Red Hat Certified Engineer)
Nvdia Certified Engineer / Nvidia Certified Associate
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.