Backend Engineer Python (Cloud/Microservices)

Python Backend Engineer – Event-Driven Microservices (AWS/Kafka)

Role Overview
We are looking for an experienced Backend Engineer to own and evolve a core integration platform. The role involves designing, building, and scaling event-driven microservices that enable seamless communication between an IoT platform and multiple third-party vendor ecosystems, while driving technical decisions and working closely with product and architecture teams.

Responsibilities

• Design and build scalable cloud-native applications on AWS, Azure, or GCP


• Develop and maintain REST APIs, microservices, and distributed backend systems


• Build serverless applications using AWS Lambda or Azure Functions with event-driven architectures


• Own and extend the integration platform, enabling device onboarding across multiple third-party vendor ecosystems


• Design and maintain event-driven architectures processing high-volume device events (10K+ events/sec) via Kafka, MQTT, and cloud messaging services


• Build microservices for device state synchronization ensuring low-latency, reliable communication


• Develop voice platform integrations (Alexa Smart Home, Google Home) for device discovery and control


• Implement OAuth 2.0-based account linking and token lifecycle management


• Build scalable backend APIs for real-time dashboards visualizing device telemetry


• Establish and maintain CI/CD pipelines using GitHub Actions and AWS CodePipeline


• Collaborate with product managers, solution architects, and QA for high-quality delivery

Qualifications

• 5-8 years of professional backend engineering experience


• Strong hands-on proficiency in Python (primary backend language); exposure to Node.js with TypeScript a plus


• Experience with event-driven architecture using Kafka, MQTT, or similar messaging systems


• Solid experience with RESTful API design and scalable microservices


• Hands-on experience with AWS (ECS, Lambda, S3, CodePipeline) or GCP (App Engine, Cloud Run)


• Experience with OAuth 2.0, JWT, and secure authentication flows


• Proficiency with Docker and containerized deployments


• Experience with CI/CD pipelines (GitHub Actions, Jenkins, or AWS CodePipeline)

Candidate Profile

• Excellent problem-solving skills with ability to debug complex production issues across distributed services


• Experience with IoT protocols (MQTT) and IoT platforms preferred


• Familiarity with cloud messaging services (Pub/Sub, Event Hub, SNS/SQS) preferred


• Experience with voice assistant integrations preferred


• Kubernetes-based deployment experience preferred