Software Engineer

Job Descriptions Quiknest PropTech
Platform
Property Management & Developing CRM Platform Hiring
Requirements
Quiknest PropTech Platform is a technology-driven Property Management and CRM solution
focused on streamlining property operations, tenant management, customer relationship
management, leasing workflows, and business analytics. We are hiring skilled professionals to build
and scale our platform infrastructure, user experience, analytics, and cloud ecosystem.
1. Solution Architect
Job Summary
The Solution Architect will be responsible for designing and managing the overall architecture of the
Property Management & CRM platform. The role involves creating scalable technical solutions,
defining integration frameworks, ensuring security standards, and aligning technology with business
goals.
Key Responsibilities

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Design scalable architecture for CRM and Property Management systems.
Define microservices architecture and cloud deployment strategies.
Lead technical solution planning and system integrations.
Create architecture documentation and technical roadmaps.
Ensure platform scalability, security, and performance optimization.
Collaborate with Product, Engineering, DevOps, and Data teams.
Guide development teams on best coding and architectural practices.
Evaluate and implement new technologies for platform enhancement.
Support API integrations with third-party applications and payment systems.
Required Skills
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Expertise in enterprise application architecture.
Strong knowledge of cloud platforms (AWS/Azure/GCP).
Experience with REST APIs, Microservices, Docker, Kubernetes.
Knowledge of SQL & NoSQL databases.
Strong understanding of SaaS platform architecture.
Excellent problem-solving and leadership skills.
Preferred Technologies
Java, Node.js, .NET, React.js, PostgreSQL, MongoDB, Redis, Kafka.

1. Senior Full Stack Developer
   Job Summary
   The Senior Full Stack Developer will develop and maintain scalable modules for the Property
   Management & CRM platform including tenant management, property listings, customer
   onboarding, payment systems, and reporting dashboards.
   Key Responsibilities
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   Develop frontend and backend components of the platform.
   Build secure and scalable APIs and services.
   Develop CRM workflows and property management features.
   Integrate payment gateways, WhatsApp APIs, SMS/email services, and maps.
   Optimize application performance and responsiveness.
   Collaborate with UI/UX designers and QA teams.
   Participate in sprint planning and code reviews.
   Maintain coding standards and documentation.
   Required Skills
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   Frontend: React.js / Angular / Vue.js.
   Backend: Node.js / Java / Python / .NET.
   Experience with REST APIs and database management.
   Knowledge of Git, Agile, and CI/CD practices.
   Understanding of authentication and authorization systems.
   Preferred Skills
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   Experience in SaaS or PropTech platforms.
   Cloud deployment exposure.
   Mobile-responsive development knowledge.
   Qualification
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   B.E/B.Tech/MCA or equivalent.

2. Senior Data Scientist / Data Analyst
   Job Summary
   The Senior Data Scientist / Analyst will analyze property and customer data to generate business
   insights, predictive analytics, customer behavior analysis, and intelligent recommendations for the
   CRM ecosystem.
   Key Responsibilities
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   Analyze tenant, property, and customer engagement data.
   Develop dashboards and business reports.
   Build predictive models for lead scoring and occupancy forecasting.
   Generate actionable insights for business teams.
   Create AI-driven recommendation systems.
   Maintain data accuracy and governance standards.
   Work with product and management teams on business intelligence strategies.
   Required Skills
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   Strong knowledge of Python, SQL, Power BI/Tableau.
   Expertise in machine learning and analytics.
   Experience with ETL processes and data warehousing.
   Statistical analysis and data visualization skills.
   Preferred Skills
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   Experience in PropTech or CRM analytics.
   Exposure to AI/ML frameworks and cloud analytics.
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