Software Developer – Python

Role Overview<\/b>

<\/p>We are hiring a <\/span>Python Backend Engineer<\/b> <\/span>to build scalable, production -grade systems powering AI -driven SaaS products. You will work on <\/span>microservices architecture, LLM integrations, and cloud -native deployments<\/b>, contributing directly to high -impact features used by thousands of businesses.

<\/p>This role is ideal for engineers who have experience in <\/span>building APIs at scale, integrating AI/LLMs, and deploying systems on AWS<\/b>.

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About MyOperator<\/b>

<\/p>MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI -powered chatbots & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no -code platform. Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor -pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement.

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Key Responsibilities<\/b>

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• Build and scale <\/span>backend services using Python (Django/FastAPI)<\/b>

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• Design and maintain <\/span>microservices architecture handling high -throughput APIs (10K+ requests/day)<\/b>

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• Integrate <\/span>LLMs (LangChain, OpenAI, etc.)<\/b> <\/span>into real -world product workflows

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• Optimize system performance (latency, reliability, and scalability<\/b>)

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• Write <\/span>clean, testable code with pytest and CI/CD practices<\/b>

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• Manage databases (Postgres/MySQL<\/b>) with performance tuning and query optimization

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• Deploy, monitor, and debug applications on <\/span>AWS (EC2, RDS, Lambda, CloudWatch)<\/b>

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• Collaborate with product and frontend teams to define <\/span>APIs and system design<\/b>

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  Must -Have Requirements<\/b>

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  • 2–5 years of experience in <\/span>Python backend development<\/b>

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  • Strong hands -on experience with <\/span>Django and/or FastAPI<\/b>

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  • Experience building <\/span>microservices -based architectures (not just monoliths)<\/b>

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  • Working knowledge of <\/span>LLMs / LangChain / OpenAI APIs (production or project -level)<\/b>

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  • Experience with <\/span>AWS deployments (EC2, RDS, S3, Lambda)<\/b>

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  • Strong understanding of <\/span>REST APIs, system design, and database optimization<\/b>

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  • Experience with <\/span>unit testing (pytest)<\/b>

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    Good to Have<\/b>

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    • Experience with <\/span>vector databases / embeddings / AI pipelines<\/b>

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    • Exposure to <\/span>ElasticSearch / MongoDB<\/b>

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    • Knowledge of <\/span>CI/CD tools (Jenkins, GitHub Actions, Terraform)<\/b>

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    • Basic frontend understanding (React<\/b>)

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    • Experience working in <\/span>high -growth SaaS or startup environments<\/b>

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      Strictly Not a Fit<\/b>

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      • Candidates with only <\/span>academic/project -level Python (no production experience)<\/b>

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      • Developers limited to <\/span>monolithic applications without microservices exposure<\/b>

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      • Profiles without any <\/span>cloud (AWS/GCP/Azure) deployment experience<\/b>

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      • Candidates with no exposure to <\/span>APIs or backend system design<\/b>

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