Quantum Engineer

We are looking for a customer-focused Quantum & Cloud Solutions Engineer who can understand business challenges, design practical technology solutions, and help customers adopt modern Cloud, Quantum, AI, and Data platforms.

The ideal candidate should be technically strong, hands-on, curious, and comfortable engaging with customers, partners, and stakeholders. This role combines solution architecture, innovation, technical consulting, and customer engagement, with a strong focus on Quantum Computing and emerging technologies.

2–5 years of relevant experience in one or more of the following areas:

Quantum Computing & Quantum Application Development

Cloud Engineering

Data Engineering / Analytics

Artificial Intelligence / Machine Learning

Preferred Background

Candidates must have experience working in:

Cloud Architecture

Quantum Computing Research or Engineering

Data & Analytics Platforms

AI/ML Solution Development

Customer-Facing Technical Architecture Roles

Partner with Sales and Engineering teams to conduct POCs and Production implementation on Cloud, Quantum, AI, and Digital Transformation opportunities.

Engage customers to understand business challenges and translate requirements into scalable technology solutions.

Lead discovery workshops to identify optimization, simulation, machine learning, and computational problems that may benefit from quantum or quantum-inspired approaches.

Design, develop, execute, and analyze quantum circuits on simulators and quantum hardware platforms.

Build Proof of Concepts (PoCs), demonstrations, and reference architectures across Quantum, Cloud, and AI domains.

Design secure, scalable, highly available, and cost-optimized cloud architectures on AWS, Azure, and/or Google Cloud.

Conduct technical workshops and solution demonstrations.

Design AI-powered solutions including enterprise search, knowledge assistants, RAG applications, and intelligent automation use cases.

Collaborate with OEMs, hyperscalers, delivery teams, and customers to ensure successful solution adoption and delivery.

Stay current with advancements in Quantum Computing, Cloud, Artificial Intelligence, and emerging technologies.

Must-Have Skills

Quantum Computing

Strong understanding of quantum computing fundamentals and practical applications.

Hands-on experience with at least one major quantum ecosystem:

IBM Quantum

Amazon Braket

Azure Quantum

Google Quantum AI

Experience with one or more quantum development frameworks:

Qiskit

Amazon Braket SDK

PennyLane

Cirq

Experience designing, running, and analyzing quantum circuits on simulators and/or quantum hardware.

Understanding of:

Quantum Gates

Quantum Circuits

Superposition & Entanglement

Variational Algorithms (VQE, QAOA)

Quantum Optimization

Hybrid Quantum-Classical Computing

Quantum Machine Learning Fundamentals

Error Mitigation Concepts

Ability to identify enterprise use cases suitable for quantum computing, including:

Supply Chain Optimization

Scheduling & Routing

Portfolio Optimization

Risk Analysis

Manufacturing Optimization

Simulation Workloads

Advanced Analytics

Experience benchmarking, validating, and presenting quantum workload outcomes to technical and business stakeholders.

Cloud Architecture

Hands-on experience with AWS, Azure, or Google Cloud.

Strong understanding of:

Networking

Security & IAM

High Availability & Disaster Recovery

Scalability & Reliability

Monitoring & Observability

Cost Optimization

Ability to design production-ready cloud architectures and reference solutions.

Understanding of cloud-native services, containers, Kubernetes, and serverless architectures.

Customer Consulting

Ability to understand business requirements and convert them into practical technology solutions.

Experience conducting technical workshops and customer presentations.

Strong communication and stakeholder management skills.

Ability to engage with technical teams, business leaders, and executive stakeholders.

Experience preparing technical proposals, solution recommendations, and implementation roadmaps.

AI, Data & Development

Understanding of modern AI and Generative AI concepts.

Familiarity with:

RAG (Retrieval-Augmented Generation)

AI Agents

MCP

Prompt Engineering

Embeddings & Vector Databases

Enterprise AI Platforms

Understanding of:

Data Lakes

Data Warehouses

Analytics Platforms

Strong Python programming skills.

Ability to build APIs, prototypes, automation scripts, and technical demonstrations.

Good to Have

Hands-on experience running workloads on quantum hardware and comparing simulator versus hardware performance.

Exposure to optimization frameworks and mathematical modeling.

Experience with quantum workload execution on IBM Quantum, Amazon Braket, Azure Quantum, or Google Quantum AI.

AWS Solutions Architect Associate or Professional.

Azure Solutions Architect Expert.

Google Professional Cloud Architect.

Experience with Kubernetes, Containers, DevOps, and CI/CD.

Familiarity with Machine Learning and MLOps concepts.

Experience presenting emerging technology solutions to enterprise customers.

Soft Skills

Strong customer-first mindset.

Curious, self-driven, and hands-on attitude.

Strong analytical and problem-solving skills.

Ability to work across sales, architecture, engineering, and delivery teams.

Excellent written and verbal communication skills.

Passion for innovation, emerging technologies, and continuous learning.

Why Join Cloud.in ?

Work on real-world Quantum Computing initiatives

Build and demonstrate production-focused solutions using leading quantum ecosystems including IBM Quantum, Amazon Braket, Azure Quantum, and Google Quantum AI.

Work on enterprise projects around on Cloud, Quantum, AI, and Digital Transformation.

Opportunity to work at the intersection of next-generation computing, cloud platforms, and enterprise innovation.