Solutions Architect

Professional Summary
Solution-oriented Architect with strong experience in Python-based backend development, system design, API-led platforms, and modern software engineering practices. Skilled in translating business requirements into scalable architecture, guiding engineering teams, reviewing technical designs, and driving cloud-native and automation-led solutions. Brings strong exposure to AI/ML, GenAI-enabled application development, DevSecOps practices, database optimization, and stakeholder-facing technical solutioning.
Core Competencies
Python backend architecture, technical design, and solution engineering.
End-to-end system understanding across APIs, databases, microservices, and integration layers.
Technical leadership for Python developers and backend engineering teams.
Architecture reviews, design decision-making, code quality governance, and engineering best practices.
AI/ML and GenAI-driven software development, including solutioning for intelligent applications.
DevSecOps awareness, CI/CD practices, cloud-native deployment models, and secure engineering workflows.
Customer-facing communication, stakeholder management, structured problem solving, and mentoring.
Technical Skills
Programming, Backend & Architecture
Python, Django, Flask, FastAPI, REST API design, backend development, and service integration.
System architecture, scalable application design, microservices, API-first design, and design documentation.
Database design and optimization across SQL and NoSQL environments.
AI/ML, GenAI & Modern Engineering
AI/ML-enabled application development, GenAI solutioning, and intelligent automation concepts.
Strong understanding of modern software engineering practices, code reviews, design patterns, and reusable frameworks.
DevSecOps, CI/CD, Git, Docker, Kubernetes, Linux, and release engineering awareness.
Cloud-native development practices and event-driven / API-driven architectures.
Good-to-have exposure to ETSI MANO frameworks and open-source contribution in NFV orchestration or telecom cloud ecosystems.
Leadership & Delivery
Technical leadership, mentoring, solution governance, and architecture review ownership.
Stakeholder-facing solutioning, structured communication, and customer presentation readiness.
Ability to guide teams on design-level decisions, implementation approach, and quality outcomes.
Professional Experience Snapshot
Architect – CTO Office, Tata Elxsi: Drives architecture and technical solutioning for software platforms, backend systems, and cloud-native engineering initiatives.
Leads technical discussions across Python, system design, API development, AI/ML-enabled platforms, and DevSecOps practices.
Reviews architecture, validates design decisions, evaluates technical depth, and provides guidance to engineering teams.
Demonstrates strong communication, structured thinking, solutioning ability, and leadership potential in customer and internal technical forums.
Relevant Strengths
Deep Python expertise with strong backend and API architecture orientation.
Broad exposure across AI/ML, GenAI, cloud technologies, DevSecOps, databases, and application architecture.
Strong fit for Python Technical Lead, Solution Architect, Backend Architect, or AI/ML-enabled platform leadership roles.

Work arrangement
Hybrid