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Application Support Engineer

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Job Description

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 PaaS

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

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.

Roles & 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.

Professional & Technical Skills:

  • Strong proficiency in cloud platforms - AWS, Azure, and Google Cloud.
  • Bachelors 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 practicesCI/CD pipelines, version control (Git), and container orchestration.
  • Experience with security frameworks including OAuth2, JWT, and RBAC for multi-tenant systems.
  • 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)

Additional Information:

  • The candidate should have minimum 3 years of experience in Microsoft Azure PaaS.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required., 15 years full time education




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Job ID: 147652041

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