Malur Karnataka Cloud engineer ( azure) Jobs – 62 Open Jobs Today

Principal Engineer, AI Architect
Nagarro —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- System design
Quick apply
5d
Lead Cloud Architect- (AI Platforms)
UST —Bengaluru, Karnataka
- Azure
- AWS
- AI
Quick apply
Senior Security Engineer – Security Team
Nextwebi IT Solutions Pvt Ltd —Hoodi, Bengaluru, Karnataka
- From ₹6,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
- Health insurance
Quick apply
2d
Lead Product AI Data Engineer & Architect
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- Engineering
- Master's degree
Sr. Network Security Engineer with Juniper SRX
BirlaSoft —Bengaluru, Karnataka
- Azure
- AWS
- APIs
Lead I - Software Testing
UST —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
- Health insurance
Quick apply
Lead I - ML Engineering(AI,ML,Python)
UST —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
Quick apply
Principal Product AI Data Engineer & Architect
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Cyber Security Consultant - CSRO
Société Générale —Bengaluru, Karnataka
- Azure
- AWS
- Project management
Principal Product AI Data Engineer
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Director, Full Stack Software Engineering & AI
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Generative AI Sr Lead
BirlaSoft —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
.Net Developer
Eastencher Software Pvt Ltd —Whitefield, Bengaluru, Karnataka
- ₹3,00,000 - ₹5,00,000 a year
- Full-time
- Azure
- Software troubleshooting
- DevOps
Quick apply
Databricks Architect
Marlabs —Bengaluru, Karnataka
- Full-time
- Azure
- SQL
- AWS
Quick apply

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Principal Engineer, AI Architect

Nagarro -
Bengaluru, Karnataka

Quick apply

Job details

Full-time
5 days ago

Qualifications

Azure
Law
Computer Science
React
System design
Master's degree
AWS
Bachelor's degree
Distributed systems
SDKs
APIs
AI
Communication skills
Python
Information Technology
Design patterns

Full job description

Company Description

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Job Description

REQUIREMENTS:

Total experience 11+ years.
Should have 10+ years of experience in software engineering, with strong depth in Python.
Should have proven experience architecting and delivering production-grade Generative AI applications at scale.
Should have deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design.
Should have strong system design skills across backend, frontend, and AI infrastructure layers.
Must have experience defining technical strategy and influencing architecture across teams or pods.
Should have hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.
Should have strong grasp of security, privacy, and governance considerations for enterprise AI.
Must have ability to translate ambiguous business problems into durable technical architectures.
Should have excellent communication skills, with the ability to influence senior stakeholders and technical leadership.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Own the architecture and technical vision for AI-powered, user-facing applications built with Python, React, and Generative AI.
Design scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.
Define frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards.
Lead the design and implementation of complex GenAI workflows that combine LLMs, tools, APIs, structured data, and user context.
Establish engineering standards and best practices for prompt design, model integration, evaluation, and observability.
Drive GenAI platformisationâ€”building reusable components, SDKs, and frameworks used across multiple teams or products.
Partner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.
Review critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar.
Lead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required.
Ensure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices.
Use AI-assisted development tools (e.g., Copilot, Claude Code) to accelerate delivery while maintaining production-grade quality.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
Understanding and relating technology integration scenarios and applying these learnings in projects
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Quick apply

Refine Your Search

cloud engineer ( azure) jobs in malur karnataka

Principal Engineer, AI Architect

Lead Cloud Architect- (AI Platforms)

Senior Security Engineer – Security Team

Lead Product AI Data Engineer & Architect

Sr. Network Security Engineer with Juniper SRX

Lead I - Software Testing

Lead I - ML Engineering(AI,ML,Python)

Principal Product AI Data Engineer & Architect

Cyber Security Consultant - CSRO

Principal Product AI Data Engineer

Director, Full Stack Software Engineering & AI

Generative AI Sr Lead

.Net Developer

Databricks Architect

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