Batch maker Jobs

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- Full-time
- Java
- Master's degree
- AWS
Quick apply
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Quest Global —Bengaluru, Karnataka
- Full-time
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- Master's degree
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1d
Lead Engineer - Data & AI
Quest Global —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
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1d
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o9 Integration expert
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Simplot Company —Ahmedabad, Gujarat
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Quest Global —Bengaluru, Karnataka
- Full-time
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- DevOps
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14d
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- Full-time
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Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
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5d
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Genpact India Pvt. Ltd. —Hyderabad, Telangana
- Full-time
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Enterprise Architect – Cloud, Data & AI Platforms

Quest Global -
Pune, Maharashtra

Quick apply

Job details

Full-time
6 days ago

Qualifications

Spring Boot
CI/CD
Go
Cloud architecture
Law
Kubernetes
Java
Master's degree
AWS
Docker
Data management
Distributed systems
Continuous integration
APIs
AI
Python
Spring framework
Analytics

Full job description

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Role Summary

The Enterprise Architect is responsible for defining and governing the technology strategy, architecture standards, and digital transformation roadmap across distributed systems, cloud platforms, data ecosystems, and AI-driven solutions. The role bridges business objectives and technology execution while ensuring scalability, security, and innovation.

Key Responsibilities

1. Enterprise Architecture Strategy

Define enterprise technology vision and target architecture.
Establish architecture principles, standards, and governance frameworks.
Align technology investments with business capabilities and strategic objectives.
Lead modernization initiatives and technology roadmaps.

2. Application & Microservices Architecture

Design large-scale distributed systems using Java and Go.
Architect cloud-native microservices and event-driven systems.
Define:
API-first architecture
Domain-Driven Design (DDD)
Service mesh and observability
Resilience and fault tolerance patterns
Multi-region deployment strategies
Drive performance, scalability, and high availability.

3. Cloud & Platform Engineering

Architect solutions on major cloud platforms such as Amazon Web Services, Microsoft and Google.
Define:
Kubernetes platforms
CI/CD and DevSecOps pipelines
Infrastructure as Code
Platform engineering standards
FinOps and cost optimization strategies

4. Data Engineering & Analytics

Design enterprise data platforms and modern data architectures:
Data Lake and Lakehouse
Streaming and batch pipelines
Data governance and lineage
Master data management
Real-time analytics architectures
Establish data quality, security, and compliance standards.
Enable self-service analytics and data democratization.

5. AI & Intelligent Systems

Define enterprise AI strategy and governance.
Architect:
Generative AI solutions
Agentic AI frameworks
Retrieval-Augmented Generation (RAG)
AI model integration and orchestration
Responsible AI and security controls
Evaluate and integrate AI platforms and emerging technologies.
Drive AI adoption across business functions.

6. Leadership & Stakeholder Management

Serve as trusted advisor to executives and engineering leaders.
Lead architecture review boards and technology governance forums.
Mentor solution architects and engineering teams.
Influence technology decisions across multiple business domains.
Drive cross-functional collaboration and innovation culture.

⸻

Technical Competencies

Programming

Java (Spring Boot, Reactive Programming)
Go (Golang microservices)
Python for AI and automation

Architecture

Distributed Systems
Event-Driven Architecture
Microservices
API Management
Domain-Driven Design
Integration Patterns

Cloud & DevOps

Kubernetes
Docker
CI/CD
Infrastructure as Code
Observability and SRE
Security Architecture

Data Engineering

Data Lake/Lakehouse
Streaming Platforms
Data Warehousing
ETL/ELT
Data Governance
Metadata Management

AI

Generative AI
Agentic AI
Prompt Engineering
LLM Integration
Vector Databases
AI Governance

⸻

Expected Leadership Outcomes

Enterprise-wide technology strategy and transformation leadership.
Scalable and resilient cloud-native platforms.
Unified data and AI ecosystem.
Reduced technical debt and improved engineering productivity.
Accelerated innovation through AI-driven capabilities.
Strong architecture governance and business alignment

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Quick apply

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