Application Support Engineer

Application Support Engineer

Project Role : Application Support Engineer
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:

AI Powered Tech Talent

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

Roles & 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.

Professional & Technical Skills:
* Systems Operations and Engineering - RHEL and SUSE and OLE and/or Windows/Hperv and/or AIX/HPUX/Solaris
* 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, 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
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
Middleware (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 (Crew AI, Lang Graph, 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)

Additional Information:
- The candidate should have minimum 5 years of experience in Data Engineering.
- This position is based at our Bhubaneswar office.
- A 15 years full time education is required.
- Resource needs to be AI Ready.