Verified Job
Hardware / Network Engineer
Backend Engineer Ai Platform & Communication Infrastructure Delhi (India)
Hardware / Network Engineer
#772954
Remote / WFH
Resource Bazaar Technologies
Job Description
Experience
● 3–5 years of experience in Backend Engineering or Distributed Systems.
Solid expertise in one or more of:
● Node.js
● Go
● Python
Key Responsibilities
Platform & Backend Systems
● Build scalable event-driven backend systems.
● Design APIs and services powering real-time communication workflows.
● Develop low-latency backend services and orchestration engines.
● Build systems for triggers, scheduling, retries, workflows, and event processing.
● Optimize backend infrastructure for scalability, reliability, and performance.
AI & Personalization Infrastructure
● Build backend foundations for AI-powered customer experiences.
● Develop experimentation, personalization, segmentation, and ranking systems.
● Integrate AI/ML models into production workflows.
● Contribute to intelligent decisioning and recommendation systems.
Data & Infrastructure
● Build real-time event ingestion and processing pipelines.
● Work with streaming platforms and distributed messaging systems.
● Develop user context and state-management systems.
● Improve monitoring, observability, logging, and fault tolerance.
● Build analytics and attribution pipelines.
Engineering & Product Execution
● Work closely with founders on product and architecture decisions.
● Participate in system design and technical problem-solving.
● Ship high-quality features rapidly with end-to-end ownership.
● Continuously improve engineering standards and platform performance
Hands-on experience with:
● REST APIs
● Distributed Systems
● Event-driven Architecture
● Message Queues
● Databases
● Cloud Infrastructure (AWS preferred)
Experience working with
● MongoDB / DynamoDB / Redis
● Kafka / AWS Kinesis / PubSub
● AWS Lambda, EC2, API Gateway, SQS
● Microservices Architecture
Valuable-to-Have
● Experience with AI/ML systems.
● Personalization or recommendation engines.
● Communication platforms (WhatsApp, Email, Push Notifications, SMS).
● Startup or 0→1 product-building experience.
● Exposure to experimentation frameworks or intelligent decisioning systems
Preferred Background
Preference should be given to candidates from:
● AI Product Companies
● D2C Product Companies
● SaaS Product Companies
● Customer Engagement Platforms
● Communication Infrastructure Platforms
● High-growth Product Startups
● 3–5 years of experience in Backend Engineering or Distributed Systems.
Solid expertise in one or more of:
● Node.js
● Go
● Python
Key Responsibilities
Platform & Backend Systems
● Build scalable event-driven backend systems.
● Design APIs and services powering real-time communication workflows.
● Develop low-latency backend services and orchestration engines.
● Build systems for triggers, scheduling, retries, workflows, and event processing.
● Optimize backend infrastructure for scalability, reliability, and performance.
AI & Personalization Infrastructure
● Build backend foundations for AI-powered customer experiences.
● Develop experimentation, personalization, segmentation, and ranking systems.
● Integrate AI/ML models into production workflows.
● Contribute to intelligent decisioning and recommendation systems.
Data & Infrastructure
● Build real-time event ingestion and processing pipelines.
● Work with streaming platforms and distributed messaging systems.
● Develop user context and state-management systems.
● Improve monitoring, observability, logging, and fault tolerance.
● Build analytics and attribution pipelines.
Engineering & Product Execution
● Work closely with founders on product and architecture decisions.
● Participate in system design and technical problem-solving.
● Ship high-quality features rapidly with end-to-end ownership.
● Continuously improve engineering standards and platform performance
Hands-on experience with:
● REST APIs
● Distributed Systems
● Event-driven Architecture
● Message Queues
● Databases
● Cloud Infrastructure (AWS preferred)
Experience working with
● MongoDB / DynamoDB / Redis
● Kafka / AWS Kinesis / PubSub
● AWS Lambda, EC2, API Gateway, SQS
● Microservices Architecture
Valuable-to-Have
● Experience with AI/ML systems.
● Personalization or recommendation engines.
● Communication platforms (WhatsApp, Email, Push Notifications, SMS).
● Startup or 0→1 product-building experience.
● Exposure to experimentation frameworks or intelligent decisioning systems
Preferred Background
Preference should be given to candidates from:
● AI Product Companies
● D2C Product Companies
● SaaS Product Companies
● Customer Engagement Platforms
● Communication Infrastructure Platforms
● High-growth Product Startups
