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Revalsys Technologies - Technology Research & Innovation Engineer/R&D Expert

Revalsys Technologies
3 - 6 Years
Hyderabad

Posted on: 17/03/2026

Job Description

Description :


Technology Research & Innovation Engineer / R&D Expert

Location : Hyderabad (Work from Office)

Experience : 3+ Years

Job Summary :

We are seeking a highly motivated Research & Development (R&D) Expert to explore emerging technologies, evaluate new tools and frameworks, and drive innovation across our software products and platforms. The role involves prototyping new solutions, improving existing architectures, and guiding engineering teams on modern development practices including AI, cloud, scalability, and automation.

Key Responsibilities :

- Technology Research : Conduct research on emerging technologies such as AI/ML, Generative AI, Cloud Computing, Microservices, and DevOps automation.

- Evaluation & Recommendations : Evaluate and recommend new frameworks, tools, and platforms to enhance development productivity and system performance.

- Prototyping : Design and develop Proof-of-Concepts (POCs) and prototypes for new technical ideas and product enhancements.

- System Integration : Collaborate with engineering teams to integrate innovative solutions into existing products.

- Architectural Excellence : Research best practices for scalability, performance optimization, and distributed systems.

- AI Initiatives : Drive initiatives around AI integration, automation, and intelligent systems in enterprise applications.

- Documentation : Prepare technical documentation, architecture proposals, and research reports.

- Mentorship : Provide technical guidance and mentoring to development teams on modern architectures and best practices.

Required Skills & Qualifications :

- Architecture : Strong experience in software architecture and system design.

- Backend Development : Hands-on experience with .NET Core / ASP.NET Core / API development.

- Databases : Strong knowledge of Databases (MS SQL Server / NoSQL).

- Modern Infrastructure : Experience with Microservices architecture, distributed systems, and Cloud platforms (Azure / AWS / GCP).

- AI/ML : Knowledge of AI/ML, Generative AI, LLMs, or intelligent automation (highly preferred).

- DevOps : Understanding of DevOps, CI/CD pipelines, and containerization (Docker/Kubernetes).

- Research Mindset : Ability to quickly learn and adopt new technologies based on project requirements and strong analytical thinking.


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