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 : Microsoft Azure IaaS

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 Engineer on cognitive Hybrid Cloud technologies across public and Private cloud Technologies (Thought leaders, Technical Leads and Practitioners) at senior career levels to work on business development, transformation and modernization solutions and technology crisis management. The focus is to manage client technology landscape and value add through innovation and though leadership, address complex technical challenges faced by our clients. We also have emerging research and collaboration with our eco-system partners which needs to be taken up for creating GTM Offerings, Co-Create Innovative Assets and developing new deal pipeline.

Key Responsibilities:

Design, build, and maintain scalable, secure, and highly available Public and Private cloud infrastructure on platforms such as AWS, Azure, and Google Cloud RHEL and SUSE and OLE - vmware /KVM/ pacemaker and Hyper V and/or AHV

Design, develop, and maintain scalable frontend and backend applications that automate and manage IaaS resources, such as compute, network, and storage.

Develop and manage full stack infrastructure Application including backend services (APIs, microservices) and API gateway for frontend and backend services.

Knowledge of Application Architecture Microservices vs Event Driven Architecture Vs Cloud Based Architecture Vs Cloud native architecture

Good experience in application modernization support, deploy, manage and maintain cloud native applications on Paas/ Cloud Native Architecture

Write efficient, maintainable code and manage integration between front-end interfaces and back-end infrastructure services.

Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi.

Automate deployment pipelines and manage CI/CD workflows using tools such as Jenkins, GitLab CI, or GitHub Actions.

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)

Monitor, troubleshoot, and optimize cloud infrastructure and application performance.

Collaborate with DevOps, security, and development teams to ensure seamless integration and delivery.

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.

Cloud Security knowledge and implementation experience

Cloud Landing zone network requirements knowledge and experience in implementing the right level of network capability for the cloud landing zones.

Basic knowledge and experience in Networking for cloud landing zones
Required Skills:
Hyper Converged Infrastructure and Private Cloud RHEL and SUSE and OLE - vmware/KVM/ pacemaker and Hyper V and/or AHV
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
Operating Systems Platform Windows/ ADS or AIX and Solaris and HPUX
Database Systems (RDBMS, No SQL and Cloud DB) Oracle and MS SQL or MySQL and MongoDB or Couch DB- Cloud DB (Redis or Aurora, SQL Online
Middleware (Web Servers, Message Qs, Managed Apps, MFT, Job Schedulers IIS, Apache, JBOSS, WebSphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFs
Backup and Storage Commvault, IBM, Hitachi Backup, Cloud Front, Amazon S3, Azure Storage.
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):

AWS Certified Solutions Architect Professional

SUSE and RHEL certified

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.

Qualification 15 years full time education