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 : Microsoft Azure Architecture
Good to have skills : Infrastructure As Code (IaC), Nutanix Architecture, Docker Kubernetes Architecture and Design
Minimum 3 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)
- Oracle 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.