Developer-Full Stack

About the Role

We are seeking a Full Stack Engineer with strong backend expertise to design build and maintain scalable data-driven platforms powering our IoT and analytics products. Youll work across services built with and Python managing data pipelines APIs and integrations with databases like PostgreSQL (TimescaleDB) MongoDB and Redis. The ideal candidate is a system-level thinker with a strong understanding of backend architecture messaging systems and containerized cloud deployments.

Key Responsibilities

Design and develop backend APIs and services using .

Architect and manage data storage solutions with PostgreSQL / TimescaleDB MongoDB and Redis.

Implement message queues and event-driven pipelines using RabbitMQ (or similar).

Build and maintain RESTful and GraphQL APIs for internal and external integrations.

Ensure data consistency and performance across time-series and transactional data systems.

Work closely with frontend data and AI teams to design APIs and backend logic.

Integrate and optimize object storage solutions such as AWS S3 for file and telemetry management.

Implement containerized microservices using Docker and maintain clean CI / CD workflows.

Monitor and optimize system performance scalability and reliability.

Contribute to architectural discussions and help evolve system design patterns.

Required Skills

Strong experience in (Restify Expressjs Nestjs).

Fundamental knowledge of Python.

Solid understanding of SQL and relational database design (PostgreSQL / TimescaleDB).

Experience with NoSQL databases (MongoDB) and caching layers (Redis).

Proficiency with message brokers / queues such as RabbitMQ Kafka or similar.

Hands-on experience with AWS S3 or other cloud storage systems.

Working knowledge of Docker for microservices and container orchestration.

Experience developing and consuming REST APIs.

Strong debugging optimization and problem-solving skills.

Familiarity with unit testing CI / CD and version control (Git).

Preferred Qualifications

Bachelors or Masters degree in Computer Science Software Engineering or related field.

At least 2-3 years of experience of building APIs and data pipelines at scale.

Experience with time-series databases.

Exposure to IoT data systems telemetry processing or large-scale event-driven architectures.

Familiarity with microservices design patterns and API gateways.

Experience deploying services on AWS..

Knowledge of data streaming or processing frameworks (Flink Kafka Streams etc.) is a plus.

Soft Skills

Ownership mindset with ability to work end-to-end on backend features.

Strong collaboration skills able to work with product data and AI teams.

Clear communicator who documents and explains architectural decisions.

Proactive about performance maintainability and code quality.

What Youll Get

Opportunity to build high-impact data and IoT backend systems at scale.

Work on a modern cloud-native stack with continuous learning opportunities.

Collaborate with experts in AI telematics and distributed systems.

Flexible innovation-driven work culture with strong engineering focus.

Key Skills

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Employment Type : Full Time

Experience : years

Vacancy : 1