Responsibilities :

- Collaborate directly with customers to gather and analyze business and technical requirements.

- Architect end-to-end solutions across diverse domains including QSR, supply chain, B2C platforms, and emerging verticals.

- Translate business needs into comprehensive, scalable, secure, and extensible solution designs covering frontend, backend, APIs, integrations, cloud infrastructure, and data layers.

- Lead technical discovery workshops, solution definition, and estimation for client engagements and RFPs.

- Design cloud-native architectures using microservices, event-driven patterns, managed services,and modern DevOps practices.

- Ensure that all solutions support both web and mobile channels and meet performance,scalability, reliability, and observability standards.

- Architect critical B2C components including authentication, authorization, payment gateway integrations, security, and compliance.

- Drive adoption of GenAI-enabled engineering-leveraging AI copilots and LLM tools for design, coding, reviews, testing, documentation, and delivery acceleration.

- Evaluate, recommend, and institutionalize AI/LLM tools to improve engineering productivity and code quality.

- Provide technical guidance to development teams throughout the implementation phase, including design reviews, code reviews, PoC development, and unblocking teams when required.

- Stay current with emerging technologies and advocate for their appropriate use in project

To be successful in this role, you should possess:

- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Experience: Minimum of 8 years in software development with strong ownership of solution architecture.

- Strong hands-on experience in cloud platforms (AWS or Azure).

- Solid understanding of system design, API design, data modeling, and integration patterns.

- Experience designing cloud-native architectures (microservices, event-driven patterns, DevOps practices).

- Strong knowledge of web and mobile architectures.

- Polyglot engineering skills with the ability to choose the right tech stack for the problem.

- Experience integrating payment gateways and third-party services with solid understanding of authentication, authorization, and security best practices.

- GenAI (Mandatory): Hands-on use of AI copilots and LLM tools for design, coding, code reviews, testing, and productivity acceleration.

- Excellent interpersonal and communication skills with strong stakeholder and customer engagement abilities.

- Experience managing distributed teams, cloud certifications, familiarity with DevOps tools, and customer-facing/consulting background.