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Infra Tech Support Practitioner

30+ days ago 2026/08/31
Other Business Support Services
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Job description

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 : Application Lifecycle Management (ALM)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Job Title: Senior FullStack Engineer - Cognitive Platform as a Service (PaaS).
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
Resource needs to be AI Ready.
AI Powered Tech Talent
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