ROLE PURPOSE
Join the Austyn team to build robust scalable backend infrastructure for Syngentas AI assistant platform. Youll design and implement high-performance APIs real-time streaming services and data pipelines that power intelligent workflows across the organization.
ACCOUNTABILITIES
The Backend Developer will be responsible for:
- Design and develop scalable backend services using FastAPI and Python.
- Build and maintain RESTful APIs including real-time streaming endpoints (SSE).
- Implement streaming pipelines for AI-generated content (text audio images).
- Architect and optimize PostgreSQL databases on AWS RDS for performance under load.
- Integrate vector database for semantic search - working with Data Scientist on embedding strategies while owning the implementation scaling and production reliability.
- Integrate with LLM providers and APIs handling prompt routing response streaming and error handling at scale.
- Implement and manage authentication and OAuth flows for integrating with external services (e.g. Databricks SharePoint Microsoft Graph API M365 services).
- Deploy and manage containerized applications on AWS ECS and surrounding AWS services (e.g. S3 RDS CloudWatch ECR ALB Secrets Manager).
- Design and implement event-driven architectures using message brokers for asynchronous processing and build internal workflow orchestration and automation pipelines to connect services and trigger actions across the platform.
- Write unit and integration tests; own performance optimization and query efficiency.
- Collaborate with frontend developers and data scientists on feature delivery.
- Participate in code reviews architectural decisions and technical documentation.
SKILLS:
- Core Expertise : Expert-level Python (async/await concurrency multiprocessing); deep knowledge of API design patterns (REST microservices); database design and query optimization.
- FastAPI : Async endpoints dependency injection Pydantic background tasks streaming responses OpenAPI/Swagger.
- AWS Infrastructure : RDS PostgreSQL ECS (orchestration auto-scaling) S3 (presigned URLs multipart) CloudWatch ECR ALB IAM Secrets Manager Batch.
- Authentication & Integrations : OAuth 2.0/MSAL flows for external services;
- LLM Integration : Prompt routing response streaming error handling and scaling for LLM provider APIs.
- Event-Driven & Orchestration : Message broker-based async processing; building internal workflow orchestration and automation pipelines.
- Real-time : SSE chunked transfer encoding backpressure handling.
- DevOps : Docker (image optimization) CI/CD pipelines monitoring/observability.
- Testing : Pytest Locust/JMeter/k6 for load testing mocking external dependencies.
Nice to Have
- Experience with GraphQL (schema design DataLoader pattern subscriptions federation).
- Familiarity with WebSocket-based real-time communication.
- AI/ML model serving message queues (SQS Kafka) Redis OpenTelemetry.
- Security best practices (OWASP) Azure services Agile/Scrum.
- Lambda API Gateway for serverless patterns.
CRITICAL SUCCESS FACTORS & KEY CHALLENGES
- Delivering high-performance APIs that remain stable under concurrent heavy loads.
- Ensuring seamless real-time streaming of AI-generated content with minimal latency.
- Successfully integrating complex data sources from SharePoint and Databricks into the AI platform.
Innovations
The employee as part of their role and potentially through multifunctional teams is expected to participate in the creation and design of innovative solutions. This may include contributing to inventions designs other work products know-how copyrights software innovations solutions and other intellectual assets.
Qualifications :
Education:
Bachelors degree in computer science Engineering or related field (or equivalent practical experience).
Experience:
- 3 years of professional backend development experience building production-grade high-scale systems.
- Proven track record of writing clean performant well-tested and maintainable code.
- Experience handling large datasets and optimizing systems under heavy load.
- Strong portfolio or GitHub profile demonstrating expertise in Python FastAPI AWS services and scalable architecture.
Additional Information :
Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation gender identity marital or veteran status disability or any other legally protected status
Follow us on: Twitter & LinkedIn
Website address - page - Work :
No
Employment Type :
Full-time
ROLE PURPOSEJoin the Austyn team to build robust scalable backend infrastructure for Syngentas AI assistant platform. Youll design and implement high-performance APIs real-time streaming services and data pipelines that power intelligent workflows across the organization.ACCOUNTABILITIESThe Backend ...
ROLE PURPOSE
Join the Austyn team to build robust scalable backend infrastructure for Syngentas AI assistant platform. Youll design and implement high-performance APIs real-time streaming services and data pipelines that power intelligent workflows across the organization.
ACCOUNTABILITIES
The Backend Developer will be responsible for:
- Design and develop scalable backend services using FastAPI and Python.
- Build and maintain RESTful APIs including real-time streaming endpoints (SSE).
- Implement streaming pipelines for AI-generated content (text audio images).
- Architect and optimize PostgreSQL databases on AWS RDS for performance under load.
- Integrate vector database for semantic search - working with Data Scientist on embedding strategies while owning the implementation scaling and production reliability.
- Integrate with LLM providers and APIs handling prompt routing response streaming and error handling at scale.
- Implement and manage authentication and OAuth flows for integrating with external services (e.g. Databricks SharePoint Microsoft Graph API M365 services).
- Deploy and manage containerized applications on AWS ECS and surrounding AWS services (e.g. S3 RDS CloudWatch ECR ALB Secrets Manager).
- Design and implement event-driven architectures using message brokers for asynchronous processing and build internal workflow orchestration and automation pipelines to connect services and trigger actions across the platform.
- Write unit and integration tests; own performance optimization and query efficiency.
- Collaborate with frontend developers and data scientists on feature delivery.
- Participate in code reviews architectural decisions and technical documentation.
SKILLS:
- Core Expertise : Expert-level Python (async/await concurrency multiprocessing); deep knowledge of API design patterns (REST microservices); database design and query optimization.
- FastAPI : Async endpoints dependency injection Pydantic background tasks streaming responses OpenAPI/Swagger.
- AWS Infrastructure : RDS PostgreSQL ECS (orchestration auto-scaling) S3 (presigned URLs multipart) CloudWatch ECR ALB IAM Secrets Manager Batch.
- Authentication & Integrations : OAuth 2.0/MSAL flows for external services;
- LLM Integration : Prompt routing response streaming error handling and scaling for LLM provider APIs.
- Event-Driven & Orchestration : Message broker-based async processing; building internal workflow orchestration and automation pipelines.
- Real-time : SSE chunked transfer encoding backpressure handling.
- DevOps : Docker (image optimization) CI/CD pipelines monitoring/observability.
- Testing : Pytest Locust/JMeter/k6 for load testing mocking external dependencies.
Nice to Have
- Experience with GraphQL (schema design DataLoader pattern subscriptions federation).
- Familiarity with WebSocket-based real-time communication.
- AI/ML model serving message queues (SQS Kafka) Redis OpenTelemetry.
- Security best practices (OWASP) Azure services Agile/Scrum.
- Lambda API Gateway for serverless patterns.
CRITICAL SUCCESS FACTORS & KEY CHALLENGES
- Delivering high-performance APIs that remain stable under concurrent heavy loads.
- Ensuring seamless real-time streaming of AI-generated content with minimal latency.
- Successfully integrating complex data sources from SharePoint and Databricks into the AI platform.
Innovations
The employee as part of their role and potentially through multifunctional teams is expected to participate in the creation and design of innovative solutions. This may include contributing to inventions designs other work products know-how copyrights software innovations solutions and other intellectual assets.
Qualifications :
Education:
Bachelors degree in computer science Engineering or related field (or equivalent practical experience).
Experience:
- 3 years of professional backend development experience building production-grade high-scale systems.
- Proven track record of writing clean performant well-tested and maintainable code.
- Experience handling large datasets and optimizing systems under heavy load.
- Strong portfolio or GitHub profile demonstrating expertise in Python FastAPI AWS services and scalable architecture.
Additional Information :
Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation gender identity marital or veteran status disability or any other legally protected status
Follow us on: Twitter & LinkedIn
Website address - page - Work :
No
Employment Type :
Full-time
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