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 : Hybrid Cloud Solutions
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.
Roles & 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
Professional & Technical 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)
- 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
- Commvault, IBM, Hitachi Backup, Cloud Front, Amazon S3, Azure Storage.
- observability tools (Nagios /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOps
- Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrails
Additional Information:
- 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.
Kolkata
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