Role & responsibilities

- Architect and design scalable, cloud-native enterprise applications using modern product engineering practices.

- Define end-to-end solution architecture, including application, data, integration, security, and deployment architectures.

- Design and implement microservices, RESTful APIs, and event-driven distributed systems.

- Provide technical leadership and architectural guidance to development teams throughout the product lifecycle.

- Collaborate with business stakeholders, product managers, engineering teams, and customers to translate business requirements into technical solutions.

- Drive cloud adoption and modernization initiatives across AWS, Azure, or GCP environments.

- Review and establish architecture standards, coding practices, and best practices for performance, reliability, and scalability.

- Lead technology evaluations, proof of concepts (POCs), and architecture reviews.

- Design and optimize data engineering pipelines using PySpark, Airflow, and cloud-native data platforms.

- Guide teams in the adoption of Generative AI solutions, prompt engineering techniques, embeddings, and AI-powered applications.

- Ensure application security, compliance, observability, and operational excellence.

- Mentor engineering teams and support technical decision-making across multiple projects.





Preferred candidate profile

- 10+ years of overall software development experience with at least 3+ years in Solution Architecture.

- Robust hands-on expertise in Python, Pandas, FastAPI/Flask, React.js, and Next.js.

- Proven experience designing and implementing cloud-native solutions on AWS, Azure, or GCP.

- Deep understanding of Distributed Systems, Microservices Architecture, API Design, and Event-Driven Architectures.

- Experience working with PostgreSQL, Oracle, and data modeling techniques.

- Strong experience in Data Engineering using PySpark, Airflow, Cloud Composer, or DataProc.

- Good understanding of Generative AI, Prompt Engineering, Embeddings, RAG Architecture, and AI solution integration.

- Experience building high-volume, highly available, and scalable enterprise platforms.

- Exposure to Kubernetes, containerization, CI/CD pipelines, and DevOps practices.

- Prior experience in Order Management Systems (OMS), Allocation Engines, Retail, Supply Chain, or Commerce domains is highly desirable.

- Excellent communication, stakeholder management, and client-facing skills.

- Ability to lead architecture discussions, influence technical decisions, and mentor cross-functional engineering teams.

📌 Solution Architect (Hyderabad)
🏢 TechProjects
📍 Hyderabad