Software Application Engineer

Company Summary

Irth Solutions is a software product company delivering advanced technology platforms that enable AI-driven insights across Damage Prevention, Asset Integrity, Land Management, and Stakeholder Engagement. With a strong product culture and focus on innovation, Irth offers opportunities to build enterprise-scale applications powered by modern cloud and AI technologies.

Irth’s Insights platform delivers scalable data-driven intelligence and predictive analytics to customer-facing applications using cloud-native and AI-powered architecture.

Job Summary

As a Software Application Engineer, you will design, develop, and maintain scalable backend applications and APIs that deliver predictive insights and AI-powered features.

You will work with serverless technologies, cloud infrastructure, and Databricks to build reliable, secure, and high-performance applications. This role focuses on developing REST APIs, integrating with data platforms, and enabling customer-facing AI and analytics solutions.

Requirements:
Primary Responsibility

Application Development & API Engineering

· Develop and maintain serverless applications using PHP and Node.js on AWS Lambda and Databricks.

· Build and enhance parsing logic to extract structured data from raw inputs using regex and transformation logic.

· Develop REST API endpoints for predictive models and analytics services.

· Create and maintain OpenAPI specifications and API documentation.

Database & Data Integration

· Design and optimize database schemas, queries, and performance using MySQL and Databricks.

· Integrate applications with AWS services including S3, Lambda, API Gateway, Parameter Store, and RDS.

· Support new data integrations and formats across internal and external systems.

Cloud, Event-Driven Architecture & Performance

· Implement event-driven architectures using messaging and streaming services (Kafka, AWS SNS/SQS, EventBridge).

· Monitor, troubleshoot, and optimize application performance, scalability, and reliability.

· Support asynchronous processing and real-time data delivery.

Security, Reliability & DevOps

· Identify and remediate application vulnerabilities and maintain secure coding practices.

· Support CI/CD pipelines, automated testing, and deployment processes.

· Participate in code reviews and follow development standards and best practices.

Collaboration & Platform Integration

· Work closely with data engineers, data scientists, and platform teams to deliver AI-powered solutions.

· Support integration with Databricks and cloud-based data platforms.

· Contribute to scalable, reliable delivery of customer-facing analytics applications.

Primary Responsibility

Application Development & API Engineering

· Develop and maintain serverless applications using PHP and Node.js on AWS Lambda and Databricks.

· Build and enhance parsing logic to extract structured data from raw inputs using regex and transformation logic.

· Develop REST API endpoints for predictive models and analytics services.

· Create and maintain OpenAPI specifications and API documentation.

Database & Data Integration

· Design and optimize database schemas, queries, and performance using MySQL and Databricks.

· Integrate applications with AWS services including S3, Lambda, API Gateway, Parameter Store, and RDS.

· Support new data integrations and formats across internal and external systems.

Cloud, Event-Driven Architecture & Performance

· Implement event-driven architectures using messaging and streaming services (Kafka, AWS SNS/SQS, EventBridge).

· Monitor, troubleshoot, and optimize application performance, scalability, and reliability.

· Support asynchronous processing and real-time data delivery.

Security, Reliability & DevOps

· Identify and remediate application vulnerabilities and maintain secure coding practices.

· Support CI/CD pipelines, automated testing, and deployment processes.

· Participate in code reviews and follow development standards and best practices.

Collaboration & Platform Integration

· Work closely with data engineers, data scientists, and platform teams to deliver AI-powered solutions.

· Support integration with Databricks and cloud-based data platforms.

· Contribute to scalable, reliable delivery of customer-facing analytics applications.

Skills & Experience

Required:

· 3–5 years of experience in software development.

· Strong proficiency in PHP and Node.js/JavaScript with object-oriented programming.

· Hands-on experience with AWS services including Lambda, S3, API Gateway, RDS, and CloudWatch.

· Strong experience with relational databases, schema design, and query optimization.

· Experience developing and consuming REST APIs.

· Strong knowledge of regex patterns and data parsing techniques.

· Experience with event-driven architectures and messaging systems (Kafka, SNS/SQS, EventBridge).

· Experience with Git version control and CI/CD workflows.

· Understanding of DevOps practices including automated deployment and testing.

· Experience with vulnerability management and secure coding practices.

· Strong problem-solving and analytical skills.

Preferred:

· Experience with OpenAPI/Swagger and API documentation tools.

· Experience with Databricks, Spark, or distributed data platforms.

· Exposure to machine learning or AI integrations (OpenAI or similar APIs).

· Experience working in infrastructure, utilities, land management, or analytics domains.

· Familiarity with modern AI engineering frameworks or agent-based systems.

EDUCATION

· Bachelor’s or master’s degree in computer science, Software Engineering, or a related field, or equivalent professional experience.

Benefits:
WHAT IS IN IT FOR YOU

· Being an integral part of a dynamic, growing company that is well respected in its industry.

· Competitive pay based on experience.