Backend Developer at Syngenta Group

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, AWS, PostgreSQL, RESTful APIs, SSE, LLM Integration, OAuth, Docker, ECS, Event-Driven Architectures, Testing, Performance Optimization, Microservices, Vector Database, CI/CD

Industry

Farming

Description

Company Description At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner. Website address - https://www.syngentagroup.com/ LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all Job Description ROLE PURPOSE Join the Austyn team to build robust, scalable backend infrastructure for Syngenta's AI assistant platform. You'll 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: Bachelor’s 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 - https://www.syngentagroup.com/ LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all

Responsibilities

The developer will design and implement scalable backend services using Python and FastAPI, focusing on high-performance APIs, real-time streaming, and data pipelines to power the organization's AI assistant platform. Key tasks include architecting PostgreSQL databases, integrating vector databases for semantic search, and managing LLM provider integrations and authentication flows.