Design, develop, and maintain RESTful APIs connecting mobile and web applications to backend services.
Develop, refine, and maintain the irrigation scheduling engine, optimizing logic for water efficiency, environmental conditions, and user preferences.
Build and manage database schemas, queries, and data models to support device telemetry, scheduling, user data, and analytics.
Integrate with AWS IoT Core to handle secure device connectivity, telemetry ingestion, command processing, and synchronization with the cloud.
Implement core business logic and automation for irrigation, notifications, and AI-driven recommendations.
Collaborate closely with the Machine Learning Engineer to integrate predictive models and automate decision-making based on environmental or device data.
Design and maintain telemetry ingestion pipelines to process high-frequency data from connected devices.
Ensure backend systems meet performance, reliability, and scalability requirements through monitoring, testing, and proactive optimization.
Implement security best practices, data protection policies, and access controls across backend systems.
Write unit and integration tests for backend services and collaborate with the QA/Automation Engineer to ensure coverage, CI/CD integration, and deployment quality.
Collaborate with frontend, mobile, and IoT engineers to deliver consistent and efficient user experiences.
Document backend architecture, APIs, and data flows to support internal development and cross-team alignment.
Troubleshoot and resolve production issues, ensuring minimal downtime and high system availability.
Evaluate and adopt emerging backend technologies, frameworks, and design patterns to improve system performance and maintainability.
Focus on the voice of the customer and continuously improve products and services to deliver meaningful user value.

Requirements

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.
Ability to write clean, testable, and maintainable code in a collaborative production environment.
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).
Ability to design scalable systems that handle high data throughput and real-time updates.
Strong debugging, problem-solving, and analytical skills.
Ability to collaborate effectively with cross-functional teams in an agile environment.
Excellent written and verbal communication skills.
Familiarity with Agile development practices preferred.

Benefits

Amazing corporate culture - we walk the walk when it comes to our values!
FUN company events!
Company donation matching and volunteer rewards
Career development opportunities and profit sharing bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

RESTful APIsPythonNode.jsGoAWS IoT CoreDynamoDBRDSSQLNoSQLOAuth 2.0

Soft Skills

problem-solvinganalytical skillscollaborationcommunicationdebuggingagile environmentteamworkcustomer focusadaptabilityattention to detail