Software Engineer – Backend, Cloud Services

Remote, USA • Full-time • Posted 2026-05-31

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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.
Collaborates with frontend, mobile, and IoT engineers to deliver consistent and efficient user experiences.
Documents backend architecture, APIs, and data flows to support internal development and cross-team alignment.
Troubleshoots and resolves production issues, ensuring minimal downtime and high system availability.
Evaluates and adopts emerging backend technologies, frameworks, and design patterns to improve system performance and maintainability.
Focuses on the voice of the customer and continuously improves products and services to deliver meaningful user value.

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 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).
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.