Senior Technical Architect

What are we looking for!:

We are seeking an experienced Technical Architect with 10-16 years of software engineering experience and strong expertise in Python, AWS, and modern application architecture. The ideal candidate must have 3-4 years of recent, hands-on Python experience, while earlier experience in Java or .NET is welcome. The candidate should be capable of defining scalable, secure, cloud-native application architectures, guiding engineering teams, and bringing practical exposure to AI/GenAI solutions.

Responsibilities:

• Define end-to-end architecture for scalable, secure, and high-performing applications using microservices, APIs, event-driven systems, and cloud-native patterns.
• Translate complex requirements into architecture designs, component blueprints, integration patterns, data flows, and technical specifications.
• Drive Python backend architecture using frameworks such as FastAPI, Django, or Flask; guide implementation and review designs/code for quality, performance, and maintainability.
• Leverage prior Java/.NET experience to integrate, modernize, and architect applications across heterogeneous technology environments.
• Design highly available, fault-tolerant, secure, and cost-optimized AWS solutions using services such as EC2, Lambda, ECS/EKS, API Gateway, S3, RDS, DynamoDB, SNS/SQS, and Step Functions.
• Guide cloud deployment, Docker/Kubernetes, CI/CD, infrastructure automation, cloud security, monitoring, observability, disaster recovery, and cost optimization.
• Architect AI-enabled applications using LLMs, RAG, embeddings, vector databases, AI agents, and conversational AI.
• Work with AI platforms/APIs such as OpenAI, Azure OpenAI, and Gemini; understand orchestration, prompt engineering, evaluation, guardrails, and production readiness.
• Lead architecture reviews, design walkthroughs, technical risk assessments, and resolution of complex engineering challenges.
• Mentor senior engineers and technical leads, establish engineering standards, and ensure implementation aligns with architecture, security, and quality expectations.

Qualifications:

• 10-16 years of experience in software engineering, application development, and technical architecture.
• 3-4 years of strong, hands-on Python development experience in recent years, with frameworks such as FastAPI, Django, or Flask.
• Earlier hands-on experience in Java, .NET, or similar enterprise technologies is acceptable.
• Strong hands-on experience in AWS architecture and implementation across compute, storage, databases, networking, security, and integration services.
• Strong understanding of microservices, REST/GraphQL APIs, event-driven architecture, distributed systems, and cloud-native application design.
• Experience with Docker, Kubernetes, CI/CD pipelines, infrastructure automation, SQL/NoSQL databases, caching, and messaging systems.
• Practical exposure to AI/GenAI application architecture, including LLMs, RAG, embeddings, vector databases, AI agents, and AI API integrations.
• Strong understanding of application security, scalability, performance, reliability, and observability.
• Experience leading technical design discussions, architecture reviews, POCs, and mentoring engineering teams.
• Excellent problem-solving, communication, collaboration, and technical decision-making skills.

Skills

AWS, Backend Development, DevOps / Cloud, Full-Stack Development, Python, Solution Architecture, Technical Consulting