About the job

Summary

The role focuses on enhancing and scaling Distributed IoT platform, building high-performance backend services that handle real-time data ingestion, processing, and analytics from millions of connected devices. The engineer will design microservices, optimize data pipelines, and ensure system reliability at a scale.

Expereince and Qualifications:

• Bachelor's degree in computer science or related field
• 6-8 years of backend development experience
• Proficiency in at least one: Node.js, Python, or Go
• Expert knowledge of data structures, algorithms, and design patterns
• Experience with relational (PostgreSQL/MySQL) and NoSQL (MongoDB/Cassandra/Redis) databases
• RESTful APIs and/or GraphQL implementation experience
• Microservices architecture expertise
• Docker and Kubernetes experience
• Message queuing systems (Kafka, RabbitMQ, AWS SQS)
• CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
• Cloud platforms (AWS, Azure, or GCP)
• Distributed system design principles
• Git version control

Preferred Qualifications:

• IoT platforms, telemetry systems, or edge computing experience
• Time-series databases (InfluxDB, TimescaleDB, Prometheus)
• Streaming data processing (Apache Flink, Storm, AWS Kinesis)
• LLM tools/frameworks (Langchain, LlamaIndex)
• Infrastructure as code (Terraform, CloudFormation)
• Security best practices
• Monitoring tools (Datadog, New Relic, Grafana, ELK)

Responsibilities

Core Technical:

• Design and maintain backend microservices for the IoT platform
• Implement robust APIs for device-cloud communication
• Architect and optimize data pipelines for high-velocity telemetry data
• Participate in system architecture discussions
• Optimize database schemas and queries
• Implement event-driven architectures with message queuing
• Performance optimization and load testing
• Troubleshoot production issues

Collaboration & Quality:

• Work with cross-functional teams (product, frontend, DevOps, QA)
• Participate in Agile development processes
• Conduct code reviews and maintain coding standards
• Write comprehensive tests (unit, integration, end-to-end)
• Create technical documentation for APIs and architecture
• Participate in on-call rotations for production support Innovation:
• Stay current with emerging technologies and best practices
• Evaluate new tools and frameworks
• Mentor junior team members
• Solve complex distributed systems challenges
• Work on AI-driven predictive capabilities