Senior technical architect position cloud computing . Jobs

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ACV Auctions —Chennai, Tamil Nadu
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University Living Accommodations Pvt Ltd. —Unknown, Uttar Pradesh
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Genpact India Pvt. Ltd. —Hyderabad, Telangana
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Full Stack Engineer

Accenture -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

JBoss
TensorFlow
RDBMS
Cloud infrastructure
Azure
Node.js
AIX
Kubernetes
Ansible
Full-stack development
IIS
WebSphere
Software deployment
openSUSE
Microsoft SQL Server
NoSQL
PaaS
Google Cloud Platform
MongoDB
Weblogic
Java
SQL
OpenStack
AWS
Docker
PostgreSQL
Terraform
Redis
Azure Certification
Back-end development
Systems engineering
Solarwinds
APIs
Agile
S3
VMWare
Apache
RHCE
DynamoDB
Flask
AI
Python
Shell Scripting
IaaS
MySQL

Full job description

Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Platform as a Service Providers (PaaS)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

AI Powered Tech Talent
FullStack Cognitive Systems Engineer
Job Title: Senior FullStack Engineer - Cognitive Platform as a Service (PaaS).
Position 1 X Level 6 , 1 X Level 8, 3 X Level 9 , 2 X Level 10
Location: Bangalore (Level6), NCR, Bangalore, Pune, Hyderabad, Bhubaneswar (Level 8,9,10)
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
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):

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)
Resource should be AI ready

15 years full time education

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Full Stack Engineer

Staff Designated Support Engineer

Training Specialist, Sr(Data Scientist)

AI/ML Engineer OR Data Scientist (Lead)

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Senior Data Engineer - ETL Framework

Senior Data Engineer - ETL Framework

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