Senior fullstack engineer (java) Jobs

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Application Tech Support Practitioner

Accenture -
Kolkata, West Bengal

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Cloud infrastructure
Azure
Cloud architecture
Node.js
Law
Computer Science
Software Engineering
React
Kubernetes
Ansible
Full-stack development
DevOps
Microsoft SQL Server
NoSQL
PaaS
Git
Google Cloud Platform
MongoDB
Technical support
Java
Master's degree
Microservices
RBAC
AWS
Docker
Bachelor's degree
JavaScript
PostgreSQL
Terraform
Continuous integration
Azure Certification
Natural language processing
APIs
DynamoDB
Flask
AI
Communication skills
Python
Active Directory
MySQL
AWS Certified Solutions Architect – Professional

Full job description

Project Role : Application Tech Support Practitioner
Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge.
Must have skills : Platform as a Service Providers (PaaS)
Good to have skills : Microsoft Active Directory
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Cognitive PaaS Full Stack Engineer

Job Title: Senior FullStack Engineer - Cognitive Platform as a Service (PaaS).

Position 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

The Cognitive PaaS Full Stack Engineer designs and develops cognitive cloud applications and services ranging from user interfaces to API layers and AI integration middleware. The engineer works across front-end, back-end, and cloud infrastructure layers to deliver intelligent, data-driven solutions that leverage AI/ML models, agentic workflows, and cognitive automation frameworks.

Key Responsibilities:

Design, develop, and maintain end-to-end cognitive PaaS applications 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.

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.

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

Cloud Data Security knowledge and experience in implementing Data Security practices

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:

- Strong proficiency in cloud platforms - AWS, Azure, and Google Cloud.

Bachelor or Masters degree in Computer Science, Software Engineering, or related field.

Strong in JavaScript (React, Node.js) and Python (Flask, FastAPI) development.

Experience developing and deploying cognitive or AI-driven microservices.

Proficiency in cloud platforms (AWS Lambda, Azure Cognitive Services, or Google Vertex AI).

Familiarity with platform engineering principles API management, service mesh, observability, and IaC (Terraform, Ansible).

Understanding of NLP, LLM integration, and generative AI architectures for PaaS environments.

Hands-on experience with DevOps practices CI/CD pipelines, version control (Git), and container orchestration.

Experience with security frameworks including OAuth2, JWT, and RBAC for multi-tenant systems.

Certifications (Required / Preferred):

AWS Certified Solutions Architect Professional

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)
AI Powered Tech Talent

15 years full time education

Apply Now

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