This is a Senior Technical/Pre-Sales Architect position requiring a blend of strategic high-level design, customer-facing pre-sales leadership, and hands-on full-stack coding.
Location - Remote - US (EST timings) -
Availability : ASAP . Should already be on notice or can join in 1 week.
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+ 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), Google Cloud Platform (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