Bengaluru Karnataka Software engineer back end & agentic ai Jobs – 124 Open Jobs Today

Technology Support Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Automation and AI Solutions Lead
Thomson Reuters —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Master's degree
- SQL
- Work from home
Senior Machine Learning Engineer
Siemens —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- English
Application Development Senior Engineer
Waters Corporation —Bengaluru, Karnataka
- APIs
- Agile
- AI
1d
Sr. Manager
Visa Consolidated Support Services (India) Private Limited - Tech Unit —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Developer Relations Manager
NVIDIA —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Project management
14d
Staff Software Engineer
Intuit —Bengaluru, Karnataka
- Computer Science
- B.Sc
- System design
5h
Staff Software Engineer
Intuit —Bengaluru, Karnataka
- Computer Science
- B.Sc
- System design
5h
Data Analyst II
FedEx AMEA —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Software troubleshooting
10h
Senior Staff Software Engineer
Intuit —Bengaluru, Karnataka
- Computer Science
- B.Sc
- System design
5h

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Technology Support Engineer

Accenture -
Bengaluru, Karnataka

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
Software deployment
DevOps
Microsoft SQL Server
NoSQL
PaaS
Git
Google Cloud Platform
MongoDB
Java
Master's degree
Microservices
RBAC
AWS
Docker
Bachelor's degree
JavaScript
PostgreSQL
Terraform
Continuous integration
Azure Certification
Natural language processing
APIs
DynamoDB
Flask
Network engineering
AI
Python
IaaS
MySQL
AWS Certified Solutions Architect – Professional

Full job description

Project Role : Technology Support Engineer
Project Role Description : Resolve incidents and problems across multiple business system components and ensure operational stability. Create and implement Requests for Change (RFC) and update knowledge base articles to support effective troubleshooting. Collaborate with vendors and help service management teams with issue analysis and resolution.
Must have skills : Microsoft Azure IaaS
Good to have skills : Network Engineering Planning and Deployment Solution, Infrastructure As Code (IaC)
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 service 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.

Bachelor or Master 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.
AWS Certified Solutions Architect Professional
Microsoft Certified: Azure Solutions Architect Expert
Google Professional Cloud Architect
Certified Kubernetes Administrator (CKA)

Additional Information:

The candidate should have minimum 3 years of experience in Microsoft Azure IaaS.
This position is based at our Bengaluru office.
A 15 years full time education is required.
AI Powered Tech Talent

15 years full time education

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software engineer back end & agentic ai jobs in bengaluru karnataka

Technology Support Engineer

Automation and AI Solutions Lead

Senior Machine Learning Engineer

Application Development Senior Engineer

Sr. Manager

Senior Developer Relations Manager

Staff Software Engineer

Staff Software Engineer

Data Analyst II

Senior Staff Software Engineer

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