Sr Python Developer Onsite

Job Description

AgTech is undergoing a onceinageneration transformationand software is at the center of it. From realtime field telemetry to datadriven operational systems were building technology that helps growers operators and agribusinesses make smarter faster decisions at scale.

Were looking for a Senior Python Engineer to join our Atlantabased inoffice engineering team and help build the backend systems that power the next generation of AgTech platforms. This role is for someone who thrives on writing highquality Python solving complex data and systems problems and seeing their work directly impact how food is grown managed and delivered.

Youll work handson with modern Python services cloud infrastructure and data pipelinescollaborating closely with product platform and operations teamsto ship reliable scalable software that matters in the real world.

Advanced Python Engineering (SeniorLevel)

• Strong handson experience building production Python services with a focus on reliability performance and clean design.
• Advanced proficiency in Python including asyncio concurrency multiprocessing type hints and modern language features.
• Experience developing highquality APIs using FastAPI (or similar frameworks).
• Ability to design deterministic testable and observable services with clear contracts error handling retries and fallbacks.
• Comfortable owning features endtoend: design build test deploy and support.

Backend & Systems Fundamentals

• Strong experience with Postgres / SQL Server including schema design query optimization and transactional integrity.
• Handson use of Redis queues and eventdriven patterns.
• Solid understanding of distributed systems fundamentals:
  • Idempotency and retries
  • Rate limiting and backpressure
  • Fault tolerance and graceful degradation
• Practical experience implementing structured logging metrics and tracing (OpenTelemetry preferred).

Microsoft Data & Azure Platform

• Experience integrating Python services with Microsoft Fabric Databricks SQL Server or similar data platforms.
• Working knowledge of Dataverse and integration with Power Platform workflows and lineofbusiness systems.
• Experience building or consuming ELT pipelines (Databricks / Delta Lake preferred).
• Exposure to Azure IoT Hub / IoT Edge or realtime telemetry pipelines is a plus.
• Strong familiarity with Azure services:
  • App Service Azure Functions AKS
  • Key Vault Storage
  • Event Hubs / Service Bus
  • Monitor Application Insights

Testing Reliability & DevOps

• Strong testing discipline: unit and integration testing (propertybased testing a plus).
• Experience with CI/CD pipelines Docker and deployment automation (Azure DevOps preferred).
• Performance tuning debugging and production issue resolution.
• Comfortable participating in oncall rotations and incident response.

Enterprise & FrontEnd Collaboration

• Experience supporting or collaborating with TypeScript / Angular frontends (API contracts performance reliability).
• Ability to integrate Python services into an enterprise environment including .NET/C# SQL Server NServiceBus and Azure DevOps.
• Works effectively with product managers QA and platform teams in an inoffice setting.

Team & Engineering Culture

• Uses modern developer tools (GitHub Copilot Cursor etc.) to increase productivity while maintaining code quality.
• Provides technical guidance to junior engineers without acting as an architect or people manager.
• Clear written communication strong ownership and a bias toward shipping welltested code.

Skills & Requirements

Success Looks Like

Quality & Reliability

• Python services are stable predictable and wellinstrumented.
• Issues are diagnosed quickly with minimal customer impact.

Performance & Cost

• APIs consistently meet P50 / P95 latency targets.
• Efficient use of compute storage and data services.

Delivery & Impact

• Features are delivered on time and adopted by internal and external users.
• Backend systems scale cleanly as usage grows.

Engineering Excellence

• Highquality readable code with strong test coverage.
• Consistently green CI/CD pipelines.
• Sustainable oncall participation.

Tooling & Stack (Summary)

Backend

• Python (FastAPI asyncio) REST / gRPC
• Postgres / SQL Server Redis queues

Data

• Databricks Delta Lake
• Microsoft Fabric (OneLake Lakehouse Warehouse)
• Dataverse

Cloud

• Azure App Service Functions AKS
• Event Hubs Service Bus
• Key Vault Storage
• Monitor Application Insights

DevOps

• Docker
• CI/CD with Azure DevOps
• OpenTelemetry

Frontend (Collaboration)

• TypeScript / Angular

About the company

MTech Systems helps the food production industry increase yield improve animal welfare and achieve sustainability. Over 150 leading animal-protein producers rely on our secure cloud-based platform to keep comprehensive information across their operations and supply chain. No matter the size or complexity of the scenarios.

From independent farmers to multinational integrators from feed producers to food processors and every supply chain player in between get to easily digitalize their operations with MTech Systems.

With Amino our flagship product and foundational platform any producer can kickstart their digitalization journey.

Our approach agnostic to any hardware and other information systems enables entire production teams to easily extract data directly from the field. With a centralized database and intuitive dashboards thousands of MTech users make informed decisions and achieve their business goals every day.