{"schemaVersion":"jobsearcher.job.v1","id":"5f7c24a8d9956461865ff035","url":"https://jobsearcher.com/jobs/5f7c24a8d9956461865ff035","canonicalUrl":"https://jobsearcher.com/jobs/5f7c24a8d9956461865ff035","title":"Sr Python Developer - Onsite","description":"Industry\n\nComputer/IT Services\n\nCategory\n\nEngineering\n\nExperience\n\nMid level\n\nLocation: Dunwoody\n\nWorkspace type: Hybrid\n\nFollow MTech Systems\n\nContact Person\nMichael Crouse\n\nmichaelcrouse@mtech-systems.com\n\nJob Description\n\nAgTech is undergoing a once‑in‑a‑generation transformation—and software is at the center of it. From real‑time field telemetry to data‑driven operational systems, we’re building technology that helps growers, operators, and agribusinesses make smarter, faster decisions at scale.\n\nWe’re looking for a Senior Python Engineer to join our Atlanta‑based, in‑office 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 high‑quality Python, solving complex data and systems problems, and seeing their work directly impact how food is grown, managed, and delivered.\n\nYou’ll work hands‑on with modern Python services, cloud infrastructure, and data pipelines—collaborating closely with product, platform, and operations teams—to ship reliable, scalable software that matters in the real world.\n\nAdvanced Python Engineering (Senior‑Level)\n\nStrong, hands‑on experience building production Python services with a focus on reliability, performance, and clean design.\nAdvanced proficiency in Python including asyncio, concurrency, multiprocessing, type hints, and modern language features.\nExperience developing high‑quality APIs using FastAPI (or similar frameworks).\nAbility to design deterministic, testable, and observable services with clear contracts, error handling, retries, and fallbacks.\nComfortable owning features end‑to‑end: design, build, test, deploy, and support.\n\nBackend & Systems Fundamentals\n\nStrong experience with Postgres / SQL Server, including schema design, query optimization, and transactional integrity.\nHands‑on use of Redis, queues, and event‑driven patterns.\n\nSolid understanding of distributed systems fundamentals:\nIdempotency and retries\nRate limiting and back‑pressure\nFault tolerance and graceful degradation\nPractical experience implementing structured logging, metrics, and tracing (OpenTelemetry preferred).\n\nMicrosoft Data & Azure Platform\n\nExperience integrating Python services with Microsoft Fabric, Databricks, SQL Server, or similar data platforms.\nWorking knowledge of Dataverse and integration with Power Platform workflows and line‑of‑business systems.\nExperience building or consuming ELT pipelines (Databricks / Delta Lake preferred).\nExposure to Azure IoT Hub / IoT Edge or real‑time telemetry pipelines is a plus.\n\nStrong familiarity with Azure services:\nApp Service, Azure Functions, AKS\nKey Vault, Storage\nEvent Hubs / Service Bus\nMonitor, Application Insights\n\nTesting, Reliability & DevOps\n\nStrong testing discipline: unit and integration testing (property‑based testing a plus).\nExperience with CI/CD pipelines, Docker, and deployment automation (Azure DevOps preferred).\nPerformance tuning, debugging, and production issue resolution.\nComfortable participating in on‑call rotations and incident response.\n\nEnterprise & Front‑End Collaboration\n\nExperience supporting or collaborating with TypeScript / Angular front‑ends (API contracts, performance, reliability).\nAbility to integrate Python services into an enterprise environment including .NET/C#, SQL Server, NServiceBus, and Azure DevOps.\nWorks effectively with product managers, QA, and platform teams in an in‑office setting.\n\nTeam & Engineering Culture\n\nUses modern developer tools (GitHub Copilot, Cursor, etc.) to increase productivity while maintaining code quality.\nProvides technical guidance to junior engineers without acting as an architect or people manager.\nClear written communication, strong ownership, and a bias toward shipping well‑tested code.\nSkills & Requirements\n\nSuccess Looks Like\n\nQuality & Reliability\n\nPython services are stable, predictable, and well‑instrumented.\nIssues are diagnosed quickly with minimal customer impact.\n\nPerformance & Cost\n\nAPIs consistently meet P50 / P95 latency targets.\nEfficient use of compute, storage, and data services.\n\nDelivery & Impact\n\nFeatures are delivered on time and adopted by internal and external users.\nBackend systems scale cleanly as usage grows.\n\nEngineering Excellence\n\nHigh‑quality, readable code with strong test coverage.\nConsistently green CI/CD pipelines.\nSustainable on‑call participation.\n\nTooling & Stack (Summary)\n\nBackend\n\nPython (FastAPI, asyncio), REST / gRPC\nPostgres / SQL Server, Redis, queues\n\nData\n\nDatabricks, Delta Lake\nMicrosoft Fabric (OneLake, Lakehouse, Warehouse)\nDataverse\n\nCloud\n\nAzure App Service, Functions, AKS\nEvent Hubs, Service Bus\nKey Vault, Storage\nMonitor, Application Insights\n\nDevOps\n\nDocker\nCI/CD with Azure DevOps\nOpenTelemetry\n\nFrontend (Collaboration)\n\nTypeScript / Angular\nAbout the company\n\nMTech 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.\n\nFrom 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.\n\nWith Amino, our flagship product and foundational platform, any producer can kickstart their digitalization journey.\n\nOur 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.","company":"Mtech Systems","rawCompany":"mtech systems","city":"Dunwoody","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:22:40.401Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Python Developer - Onsite","description":"Industry\n\nComputer/IT Services\n\nCategory\n\nEngineering\n\nExperience\n\nMid level\n\nLocation: Dunwoody\n\nWorkspace type: Hybrid\n\nFollow MTech Systems\n\nContact Person\nMichael Crouse\n\nmichaelcrouse@mtech-systems.com\n\nJob Description\n\nAgTech is undergoing a once‑in‑a‑generation transformation—and software is at the center of it. From real‑time field telemetry to data‑driven operational systems, we’re building technology that helps growers, operators, and agribusinesses make smarter, faster decisions at scale.\n\nWe’re looking for a Senior Python Engineer to join our Atlanta‑based, in‑office 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 high‑quality Python, solving complex data and systems problems, and seeing their work directly impact how food is grown, managed, and delivered.\n\nYou’ll work hands‑on with modern Python services, cloud infrastructure, and data pipelines—collaborating closely with product, platform, and operations teams—to ship reliable, scalable software that matters in the real world.\n\nAdvanced Python Engineering (Senior‑Level)\n\nStrong, hands‑on experience building production Python services with a focus on reliability, performance, and clean design.\nAdvanced proficiency in Python including asyncio, concurrency, multiprocessing, type hints, and modern language features.\nExperience developing high‑quality APIs using FastAPI (or similar frameworks).\nAbility to design deterministic, testable, and observable services with clear contracts, error handling, retries, and fallbacks.\nComfortable owning features end‑to‑end: design, build, test, deploy, and support.\n\nBackend & Systems Fundamentals\n\nStrong experience with Postgres / SQL Server, including schema design, query optimization, and transactional integrity.\nHands‑on use of Redis, queues, and event‑driven patterns.\n\nSolid understanding of distributed systems fundamentals:\nIdempotency and retries\nRate limiting and back‑pressure\nFault tolerance and graceful degradation\nPractical experience implementing structured logging, metrics, and tracing (OpenTelemetry preferred).\n\nMicrosoft Data & Azure Platform\n\nExperience integrating Python services with Microsoft Fabric, Databricks, SQL Server, or similar data platforms.\nWorking knowledge of Dataverse and integration with Power Platform workflows and line‑of‑business systems.\nExperience building or consuming ELT pipelines (Databricks / Delta Lake preferred).\nExposure to Azure IoT Hub / IoT Edge or real‑time telemetry pipelines is a plus.\n\nStrong familiarity with Azure services:\nApp Service, Azure Functions, AKS\nKey Vault, Storage\nEvent Hubs / Service Bus\nMonitor, Application Insights\n\nTesting, Reliability & DevOps\n\nStrong testing discipline: unit and integration testing (property‑based testing a plus).\nExperience with CI/CD pipelines, Docker, and deployment automation (Azure DevOps preferred).\nPerformance tuning, debugging, and production issue resolution.\nComfortable participating in on‑call rotations and incident response.\n\nEnterprise & Front‑End Collaboration\n\nExperience supporting or collaborating with TypeScript / Angular front‑ends (API contracts, performance, reliability).\nAbility to integrate Python services into an enterprise environment including .NET/C#, SQL Server, NServiceBus, and Azure DevOps.\nWorks effectively with product managers, QA, and platform teams in an in‑office setting.\n\nTeam & Engineering Culture\n\nUses modern developer tools (GitHub Copilot, Cursor, etc.) to increase productivity while maintaining code quality.\nProvides technical guidance to junior engineers without acting as an architect or people manager.\nClear written communication, strong ownership, and a bias toward shipping well‑tested code.\nSkills & Requirements\n\nSuccess Looks Like\n\nQuality & Reliability\n\nPython services are stable, predictable, and well‑instrumented.\nIssues are diagnosed quickly with minimal customer impact.\n\nPerformance & Cost\n\nAPIs consistently meet P50 / P95 latency targets.\nEfficient use of compute, storage, and data services.\n\nDelivery & Impact\n\nFeatures are delivered on time and adopted by internal and external users.\nBackend systems scale cleanly as usage grows.\n\nEngineering Excellence\n\nHigh‑quality, readable code with strong test coverage.\nConsistently green CI/CD pipelines.\nSustainable on‑call participation.\n\nTooling & Stack (Summary)\n\nBackend\n\nPython (FastAPI, asyncio), REST / gRPC\nPostgres / SQL Server, Redis, queues\n\nData\n\nDatabricks, Delta Lake\nMicrosoft Fabric (OneLake, Lakehouse, Warehouse)\nDataverse\n\nCloud\n\nAzure App Service, Functions, AKS\nEvent Hubs, Service Bus\nKey Vault, Storage\nMonitor, Application Insights\n\nDevOps\n\nDocker\nCI/CD with Azure DevOps\nOpenTelemetry\n\nFrontend (Collaboration)\n\nTypeScript / Angular\nAbout the company\n\nMTech 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.\n\nFrom 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.\n\nWith Amino, our flagship product and foundational platform, any producer can kickstart their digitalization journey.\n\nOur 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.","datePosted":"2026-04-14T11:22:40.401Z","dateModified":"2026-04-14T11:22:40.401Z","hiringOrganization":{"@type":"Organization","name":"Mtech Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dunwoody","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5f7c24a8d9956461865ff035"},"url":"https://jobsearcher.com/jobs/5f7c24a8d9956461865ff035"}}