Associate Technical Architect

Summary
We are seeking a highly skilled Senior Backend Python Developer to join our team. This role is critical
to the development and operation of cloud-native, AI-driven enterprise applications that power digital
advertising optimization, intelligent translation platforms, and data-driven analytics solutions.
As a Senior Backend Python Developer, you will architect, build, and maintain scalable, secure, and
optimized backend systems on Google Cloud Platform (GCP) and Microsoft Azure. Your focus will be on
developing robust APIs, multi-agent GenAI workflows, and enterprise-grade security patterns using
FastAPI and modern AI frameworks. You'll operate in a fast-paced environment, supporting innovation
across cross-functional teams and ensuring reliability, compliance, and performance in all applications.
You will work hands-on with cutting-edge generative AI technologies including Claude, Gemini, and
GPT models, leveraging AI coding assistants like Claude Code and GitHub Copilot to accelerate
development. This role requires someone who can build enterprise applications while partnering
seamlessly with frontend developers, DevOps engineers, data architects, and data engineers.

Job Description:

Key Skills Mandatory Technical Skills

• Expert-level Python (3.10+) with deep understanding of async/await, type hints, decorators, context managers, and advanced language features.

• Advanced FastAPI including dependency injection, middleware development, SSE streaming, WebSocket support, and OpenAPI documentation.

• Strong experience with SQLAlchemy ORM, Alembic migrations, and database design for PostgreSQL and NoSQL databases (Firestore, MongoDB).

• Proficiency in Pydantic for data validation, settings management, and API request/response modeling.

• Hands-on experience integrating LLM APIs: Claude (Anthropic), Gemini (Google Vertex AI), GPT (OpenAI/Azure OpenAI).

• Multi-agent AI orchestration using Google ADK, LangChain, AutoGen, or custom agent frameworks.

• Advanced prompt engineering: system instructions, few-shot learning, chain-of-thought, context window optimization, safety prompts.

• Expertise in Google Cloud Platform services: Vertex AI, Firestore, BigQuery, Cloud Storage, Cloud Run, IAP, Secret Manager, Cloud DLP, Cloud Logging.

• Proficiency with Microsoft Azure services: Azure OpenAI, Cosmos DB or Azure SQL, Azure Functions or App Service, Key Vault, Azure AD.

• Strong SQL skills with experience in window functions, CTEs, partitioning, indexing, and query optimization for BigQuery and PostgreSQL.

• Advanced Pandas for data processing, transformations, aggregations, and Excel/CSV file handling (openpyxl, XlsxWriter).

• Expertise in API integration patterns: OAuth 2.0, REST APIs, rate limiting, retry logic with exponential backoff, circuit breakers.

• Security implementation: input validation, prompt injection prevention, PII detection/redaction, JWT validation, RBAC, multi-tenancy patterns.

• Docker and containerization: multi-stage builds, security hardening, health checks, container optimization.

• Experience with infrastructure security and governance using IAM, VPC, service accounts, and Workload Identity Federation.

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