Designs, develops, and maintains RESTful APIs connecting mobile and web applications to backend services.
Develops, refines, and maintains the irrigation scheduling engine, optimizing logic for water efficiency, environmental conditions, and user preferences.
Builds and manages database schemas, queries, and data models to support device telemetry, scheduling, user data, and analytics.
Integrates with AWS IoT Core to handle secure device connectivity, telemetry ingestion, command processing, and synchronization with the cloud.
Implements core business logic and automation for irrigation, notifications, and AI-driven recommendations.
Collaborates closely with the Machine Learning Engineer to integrate predictive models and automate decision-making based on environmental or device data.
Designs and maintains telemetry ingestion pipelines to process high-frequency data from connected devices.
Ensures backend systems meet performance, reliability, and scalability requirements through monitoring, testing, and proactive optimization.
Implements security best practices, data protection policies, and access controls across backend systems.
Writes unit and integration tests for backend services and collaborates with the QA/Automation Engineer to ensure coverage, CI/CD integration, and deployment quality.
Documents backend architecture, APIs, and data flows to support internal development and cross-team alignment.

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or a combination of education and relevant work experience.
Minimum 2–4 years of experience developing backend systems, APIs, and database-driven cloud services in a production environment.
Proficiency in backend programming languages such as Python, Node.js, or Go in a production environment.
Hands-on experience with AWS services required including but not limited to IoT Core , Lambda, API Gateway, DynamoDB, RDS, S3, and CloudWatch.
Strong understanding of database architecture, indexing, and performance optimization (SQL and NoSQL).
Knowledge of IoT communication protocols (MQTT, HTTP, WebSockets) and secure communication methods such as mTLS.
Familiarity with event-driven, serverless, and microservice architectures for building scalable, cloud-connected systems.
Experience implementing authentication and authorization frameworks (OAuth 2.0, JWT).
Understanding of DevOps practices, containerization, and CI/CD pipelines (Docker, Bitbucket Pipelines, GitHub Actions, or similar).
Strong debugging, problem-solving, and analytical skills.
Ability to collaborate effectively with cross-functional teams in an agile environment.

Software Engineer – Backend, Cloud Services

Key skills