Experience: ~ 15 Years Location: Coimbatore, Tamilnadu, India (Hybrid) Department: Engineering & Product Architecture Reports To: CTO / Head of Engineering About the Role We are seeking an accomplished Senior Technical Architect to lead the design and evolution of our next-generation technology stack. The ideal candidate is a hands-on architect with deep expertise in enterprise architecture, AI-enabled systems, cloud platforms, and scalable SaaS ecosystems. You will be responsible for defining system blueprints, ensuring technical excellence, and guiding development teams in translating vision into execution. You will play a pivotal role in bridging business goals with architectural strategy — ensuring our products remain agile, secure, and ready for scale. Key Responsibilities Architectural Leadership: Define and govern system architecture for large-scale SaaS and AI-based platforms using microservices, APIs, and event-driven paradigms. Technology Strategy: Evaluate emerging technologies (AI/ML, data orchestration, cloud-native design, LLM integrations) and align them with business objectives. Design & Blueprinting: Develop detailed architecture documents, data flow diagrams, and integration strategies for applications across ERP, WMS, TMS, and OMS environments. Scalability & Performance: Architect high-availability systems on AWS/Azure/GCP, with strong focus on cost-efficiency, scalability, and observability. Collaboration: Partner with product managers, engineering leads, and data teams to translate product vision into a robust technical roadmap. Governance & Code Quality: Establish architecture standards, perform design reviews, and guide developers through mentorship and best practices. Security & Compliance: Ensure architecture adheres to modern security frameworks, data privacy regulations, and compliance requirements (SOC 2, GDPR, etc.). Desired Skills & Expertise Core Expertise: Strong proficiency in designing cloud-native and distributed systems (AWS/Azure/GCP). Proficient in API-first architecture, microservices, and container orchestration (Docker, Kubernetes). Deep experience with databases — relational (MySQL/Postgres) and modern data warehouses (Snowflake, BigQuery). Familiarity with data integration frameworks (Kafka, Airbyte, MuleSoft, etc.). Hands-on experience with at least one programming language (Python, Java, or Node.js). AI/ML & Data Systems (Preferred): Understanding of AI/LLM integration patterns, vector databases, and data pipelines. Experience in designing systems that leverage AI agents or ML models for business automation. Architecture & Delivery: Proven track record in leading multi-team technical design initiatives. Experience defining enterprise-grade security, observability, and CI/CD frameworks. Soft Skills: Excellent communication and documentation abilities. Strategic mindset with hands-on problem-solving capability. Experience mentoring teams and influencing technical direction. Why Join Us Work on cutting-edge AI-native systems shaping the future of supply chain automation. Be part of a fast-growing global tech company redefining enterprise visibility and decision intelligence. Collaborate with industry leaders and visionary founders on next-generation AI architecture.
Experience: 15 Years Location: Coimbatore, Tamilnadu, India (Hybrid) Department: Engineering & Product Architecture Reports To: CTO / Head of Engineering About the Role We are seeking an accomplished Senior Technical Architect to lead the design and evolution of our next-generation technology stack. The ideal candidate is a hands-on architect with deep expertise in enterprise architecture, AI-enabled systems, cloud platforms, and scalable SaaS ecosystems. You will be responsible for defining system blueprints, ensuring technical excellence, and guiding development teams in translating vision into execution. You will play a pivotal role in bridging business goals with architectural strategy ensuring our products remain agile, secure, and ready for scale. Key Responsibilities Architectural Leadership: Define and govern system architecture for large-scale SaaS and AI-based platforms using microservices, APIs, and event-driven paradigms. Technology Strategy: Evaluate emerging technologies (AI/ML, data orchestration, cloud-native design, LLM integrations) and align them with business objectives. Design & Blueprinting: Develop detailed architecture documents, data flow diagrams, and integration strategies for applications across ERP, WMS, TMS, and OMS environments. Scalability & Performance: Architect high-availability systems on AWS/Azure/GCP, with strong focus on cost-efficiency, scalability, and observability. Collaboration: Partner with product managers, engineering leads, and data teams to translate product vision into a robust technical roadmap. Governance & Code Quality: Establish architecture standards, perform design reviews, and guide developers through mentorship and best practices. Security & Compliance: Ensure architecture adheres to modern security frameworks, data privacy regulations, and compliance requirements (SOC 2, GDPR, etc.). Desired Skills & Expertise Core Expertise: Strong proficiency in designing cloud-native and distributed systems (AWS/Azure/GCP). Proficient in API-first architecture, microservices, and container orchestration (Docker, Kubernetes). Deep experience with databases relational (MySQL/Postgres) and modern data warehouses (Snowflake, BigQuery). Familiarity with data integration frameworks (Kafka, Airbyte, MuleSoft, etc.). Hands-on experience with at least one programming language (Python, Java, or Node.js). AI/ML & Data Systems (Preferred): Understanding of AI/LLM integration patterns, vector databases, and data pipelines. Experience in designing systems that leverage AI agents or ML models for business automation. Architecture & Delivery: Proven track record in leading multi-team technical design initiatives. Experience defining enterprise-grade security, observability, and CI/CD frameworks. Soft Skills: Excellent communication and documentation abilities. Strategic mindset with hands-on problem-solving capability. Experience mentoring teams and influencing technical direction. Why Join Us Work on cutting-edge AI-native systems shaping the future of supply chain automation. Be part of a fast-growing global tech company redefining enterprise visibility and decision intelligence. Collaborate with industry leaders and visionary founders on next-generation AI architecture.
Role Overview: As a Senior Technical Architect at our company, you will lead the design and evolution of our next-generation technology stack. Your role will involve defining system blueprints, ensuring technical excellence, and guiding development teams in translating vision into execution. You will play a crucial role in bridging business goals with architectural strategy to ensure our products remain agile, secure, and ready for scale. Key Responsibilities: - Define and govern system architecture for large-scale SaaS and AI-based platforms using microservices, APIs, and event-driven paradigms. - Evaluate emerging technologies such as AI/ML, data orchestration, cloud-native design, and LLM integrations to align them with business objectives. - Develop detailed architecture documents, data flow diagrams, and integration strategies for applications across ERP, WMS, TMS, and OMS environments. - Architect high-availability systems on AWS/Azure/GCP with a focus on cost-efficiency, scalability, and observability. - Collaborate with product managers, engineering leads, and data teams to translate product vision into a robust technical roadmap. - Establish architecture standards, perform design reviews, and guide developers through mentorship and best practices. - Ensure architecture adheres to modern security frameworks, data privacy regulations, and compliance requirements (SOC 2, GDPR, etc.). Qualifications Required: - Strong proficiency in designing cloud-native and distributed systems (AWS/Azure/GCP). - Proficient in API-first architecture, microservices, and container orchestration (Docker, Kubernetes). - Deep experience with databases including relational (MySQL/Postgres) and modern data warehouses (Snowflake, BigQuery). - Familiarity with data integration frameworks such as Kafka, Airbyte, MuleSoft, etc. - Hands-on experience with at least one programming language (Python, Java, or Node.js). - Understanding of AI/LLM integration patterns, vector databases, and data pipelines. - Proven track record in leading multi-team technical design initiatives and defining enterprise-grade security, observability, and CI/CD frameworks. - Excellent communication and documentation abilities with a strategic mindset and hands-on problem-solving capability. - Experience mentoring teams and influencing technical direction. Note: No additional details of the company were provided in the job description.,