
Python Developer
3 weeks ago
Qualifications
Industry Expertise
- Proven experience in designing and building scalable, high-performance backend
systems, particularly within multi-cloud environments.
- Familiarity with enterprise-grade security requirements is highly desirable.
Stakeholder Management
- Ability to effectively communicate technical concepts to both technical and non-technical
stakeholders.
- Proven ability to collaborate with cross-functional teams and manage multiple priorities.
Skills
- Programming Languages:
Advanced proficiency in Python for backend development and integrations.
- Frameworks:
Strong experience with asynchronous Python frameworks, particularly FastAPI,
for building high-performance APIs.
- Multi-Cloud Services:
Hands-on experience with Azure (AKS, CosmosDB) and GCP (Pub/Sub, GKE,
FireStore).
- AI/ML Integration:
Experience integrating with AI/ML services and APIs, including OpenAI API,
Langfuse, and vector databases (Pinecone, Weaviate, pgvector).
- Advanced Queuing:
Expertise in advanced queuing systems and event-driven architectures (Redis
Streams, Azure Service Bus, GCP Pub/Sub).
- Databases:
Solid understanding and experience with various database technologies,
including PostgreSQL with vector extensions, CosmosDB, BigQuery, and Redis
clustering.
- Container Orchestration:
Strong experience with Kubernetes, Docker, Azure AKS, and GCP GKE.
- Networking:
In-depth knowledge of load balancers, API gateways, and complex proxy
configurations.
- System Architecture:
Experience with multi-cloud architecture, AI/ML system design (Vertex AI & AI
Foundry), event-driven architecture, high-availability systems, observability
(distributed tracing, custom metrics, log aggregation), security (multi-tenant
security, API authentication, network security, data encryption), and performance
optimization.
- Version Control & CI/CD:
Proficient with Git and experience building and maintaining CI/CD pipelines.
Experience
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of hands-on backend development experience with Python.
- Demonstrated experience building and deploying scalable multi-cloud systems.
- Proven experience with LLM integrations and optimization.
- Experience with high-traffic engineering applications is a significant plus.
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