Technical Presales

We are looking for a hands-on, outcome-driven Architect within our Cloud & Data Services team who understands the full services lifecycle across pre-sales, sales, solutioning, and delivery, with a strong focus on delivering measurable business outcomes over tasks or hours. This role requires someone who can learn fast, switch context quickly, and build rapid prototypes that create real customer impact.

Location - Remote - India working in US (EST timings) - 6:30 PM IST - 2:30 AM IST

Availability : ASAP . Should already be on notice or can join in 1 week.

Salary - (Based on current salary, interview , past experience and other factors. Lot of weightage on interview)

What You’ll Do

• Own architecture across Cloud, Data, Integration, and Fullstack systems with active hands-on coding and prototyping
• Drive pre-sales, solutioning, architecture workshops, and technical discovery conversations
• Build rapid AI-driven POCs and translate ideas into production-ready approaches
• Design and implement modern event-driven / event-oriented architectures using Kafka, AWS EventBridge, Azure Event Grid, or similar technologies
• Build scalable APIs and modern UI applications using React or Angular
• Design and implement modern distributed systems and cloud-native architectures
• Operate across multiple projects and customers with high flexibility and rapid context switching
• Collaborate closely with offshore teams and lead execution when needed
• Partner with business and technical stakeholders to align technology with measurable business outcomes

What You Bring

• 8 to 15 years of experience in the software industry
• Strong pre-sales architect experience is mandatory
• Strong engineering foundation with Python (mandatory) and at least one additional programming language
• Proven hands-on development and architecture experience
• Strong UI development experience with React or Angular is mandatory
• Experience with Azure (preferred), GCP (preferred), or AWS
• Strong experience with event-driven systems such as Kafka, AWS EventBridge, Azure Event Grid, or similar platforms
• Strong understanding of APIs, microservices, and distributed system design
• Ability to rapidly switch context across domains, customers, and problem spaces
• Strong learning agility with ability to ramp up on new technologies quickly
• Proven track record of building prototypes and POCs in hours or days, not weeks
• Strong bias toward outcomes, ownership, and delivery impact
• Experience across the full services lifecycle from pre-sales to delivery
• Ability to validate, refine, and explain AI-generated solutions
• Strong communication, presentation, and customer-facing skills
• Ability to lead teams and drive execution when required

Nice to Have

• Exposure to Data Engineering, Spark, Databricks, or modern BI platforms
• Exposure to GenAI, Agentic AI, or AI orchestration systems
• Experience building accelerators, reusable frameworks, or internal innovation platforms