Solution Architect (BLR/Remote)
Job Summary
We are seeking a highly skilled and hands-on Solutions Architect who can design and drive technology solutions across multiple industries and technology stacks. In this role, you will work closely with various business units, with a strong focus on architecting end-to-end systems, leading multi-domain solutioning, and leveraging GenAI as a force multiplier in modern software delivery. As a Solutions Architect, you will bring deep technical expertise, strong architectural thinking, and the ability to own complex problem statements end-to-end. While you may remain hands-on with coding when necessary, your primary responsibilities will include technical guidance, reviews, solution design, estimating engineering effort, leading discovery phases, and ensuring delivery of world-class solutions across cloud, backend, frontend, mobile, and integration workflows
Job Roles & Responsibilities
- Ensure timely project delivery aligning with company's 48-hour deployment model.
- 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
Cultural Expectations
- 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.
- 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.
Hiring Process
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