Application Support Engineer
Bengaluru
Job No. atci-5373624-s1997103
Full-time
工作描述
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 : Cloud Design and Build
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 practices CI/CD pipelines, version control (Git), and container orchestration.
- Experience with security frameworks including OAuth2, JWT, and RBAC for multi-tenant systems.
Additional Information:
- AWS Certified Solutions Architect Professional
- Microsoft Certified: Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Certified Kubernetes Administrator (CKA)
- The candidate should have minimum 3 years of experience in Cloud Design and Build.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
- Resource should be AI ready.
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 : Cloud Design and Build
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 practices CI/CD pipelines, version control (Git), and container orchestration.
- Experience with security frameworks including OAuth2, JWT, and RBAC for multi-tenant systems.
Additional Information:
- AWS Certified Solutions Architect Professional
- Microsoft Certified: Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Certified Kubernetes Administrator (CKA)
- The candidate should have minimum 3 years of experience in Cloud Design and Build.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
- Resource should be AI ready.
职位要求
15 years full time education
