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Medtronic

IT Developer - Python Backend Developer

Posted Yesterday
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Remote
Hiring Remotely in Nānakrāmguda, Rangareddi, Telangāna, IND
Mid level
Remote
Hiring Remotely in Nānakrāmguda, Rangareddi, Telangāna, IND
Mid level
Designs, develops, tests, and supports scalable Python backend services for an AI-enabled enterprise platform. Builds secure APIs, distributed microservices, asynchronous workflows, messaging integrations, LLM and RAG capabilities, and containerized applications. Contributes to observability, CI/CD, architecture decisions, production troubleshooting, code reviews, and mentoring. Requires expertise in Python, cloud-native technologies, distributed systems, databases, security controls, and AI platform integrations.
The summary above was generated by AI

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the LifeThe IT Developer (Python Backend Developer) will design, develop, and support enterprise-grade backend services for an AI-enabled platform ecosystem. The role focuses on building scalable APIs, distributed services, AI integrations, and platform capabilities that support large language models, agentic workflows, retrieval-augmented generation, observability, and enterprise integrations. This position requires strong Python engineering expertise, experience with cloud-native technologies, and a focus on reliability, security, and operational excellence.

Responsibilities may include the following and other duties may be assigned.

  • Design, develop, test, and maintain scalable backend services using Python and modern web frameworks such as FastAPI.
  • Build secure REST APIs, asynchronous services, and reusable platform components using microservices and distributed-system architectures.
  • Integrate backend services with large language models (LLMs), OpenAI-compatible APIs, model-serving platforms, and AI infrastructure.
  • Develop platform capabilities supporting AI agents, retrieval-augmented generation (RAG), prompt management, Model Context Protocol (MCP), scheduling, notifications, and event-driven workflows.
  • Implement background processing and messaging solutions using technologies such as Redis, Kafka, Celery, or equivalent platforms.
  • Deploy and support containerized applications using Docker and Kubernetes while maintaining CI/CD quality standards.
  • Implement observability capabilities including logging, metrics, tracing, monitoring, and operational dashboards.
  • Perform code reviews, contribute to architecture decisions, troubleshoot production issues, and mentor junior engineers.

Required Knowledge and Expertise:

  • 3+ years of IT experience with a Bachelor's Degree in Engineering, MCA, or MSc with strong Python backend engineering expertise.
  • Experience building REST APIs using FastAPI, Flask, Django, or comparable Python frameworks.
  • Experience with distributed systems, microservices architectures, PostgreSQL, SQLAlchemy or equivalent ORM technologies, and Redis.
  • Experience with Docker, Linux, CI/CD pipelines, automated testing using pytest, and Kubernetes or equivalent container orchestration platforms.
  • Experience integrating applications with LLM APIs, AI services, messaging platforms such as Kafka or RabbitMQ, and enterprise security controls including OAuth 2.0, OpenID Connect (OIDC), and JSON Web Tokens (JWT).

Nice To Have:


  • Experience building AI platforms, AIOps solutions, internal developer platforms, or reusable enterprise platform services.
  • Experience with retrieval-augmented generation (RAG), embeddings, vector databases, vector-enabled PostgreSQL, and prompt management frameworks.
  • Experience with Model Context Protocol (MCP), agent orchestration, tool calling, and AI workflow automation.
  • Experience with OpenTelemetry, Prometheus, Grafana, distributed tracing, centralized logging, and production observability practices.
  • Experience supporting model-serving infrastructure, GPU-enabled workloads, Kubernetes-based AI platforms, or S3-compatible storage technologies such as MinIO.

Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

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Recruitment Fraud Alert 

We are aware of phishing scams targeting job seekers. Please keep the following in mind: 


Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses. 


Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. 


If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. 


If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at [email protected]. 

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create.  We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
 



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This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

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