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 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent
We're looking for a visionary Full Stack 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 Design, Deploy and Maintain.
- Develop cloud-native back-end services using Node.js, Python (Fast API, 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/Hyper-V 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 Operations and Engineering Professional
- VMware Certified Cloud Expert -the VMware Certified Professional VMware Cloud (VCP VMC) 2022
- RHCE (Red Hat Certified Engineer)
- Nvidia Certified Engineer / Nvidia Certified Associate
- Microsoft Certified: Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Certified Kubernetes Administrator (CKA)
- Hashi Corp Certified: Terraform Associate
- Certified DevOps Engineer certifications (AWS, Azure, or Google)
Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our Bengaluru office.
- A 15-year full time education is required.
Bengaluru
Énoncé sur l’égalité d’accès à l’emploi, Demandes d’accommodement et Autres énoncés en matière d’emploi
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Demandes d’accommodement
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Autres énoncés en matière d’emploi
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