IBM Backend Developer - Automation Document Processing 

Ireland 

299838611

In this role you will develop, test, deploy and support back-end software products to process and understand business documents at scale, across Cloud and On-premise contexts. You’ll use leading edge and proven technologies and techniques from across artificial intelligence, hybrid cloud, programming languages, runtimes, algorithms and data structures towards delivering software products. You’ll work in an agile and collaborative environment, with peer developers, managers and architects to translate input requirements and feedback as well as articulate output deliverables and their behaviors. You’ll ensure that all software contributions at work are thoroughly tested and evaluated at the unit, component, integration, deployment and end-to-end levels across the product into which they are delivered. You’ll write clean, maintainable code with a test-driven development mindset and conduct tests and evaluations covering dimensions of output quality, memory consumption and runtime performance. You’ll contribute to CI and CD pipelines to take their changes through various build, test and deployment stages. You’ll investigate and aid support team in resolving customer-reported problems and remediate security vulnerabilities across the software stack in a timely manner. You’ll author and maintain end-user and peer-developer documentation as well as upholds established best practices and development guidelines on behalf of the team.

Required Technical and Professional Expertise

• 5+ years of experience with Python-based backend technologies: Fast API, Pydantic data models, concurrency with multi-processing, multi-threading, and async IO, etc.
• Proven experience in designing, developing, and deploying micro-services architectures.
• In-depth knowledge of containerization technologies and cloud-native application deployment: Docker, Kubernetes, HTTPS certificates, etc.
• Continuous Delivery (CI/CD) and the related tools, such as Github, Jira, Jenkins, Argo CD, IBM Secure Pipelines Service.
• Knowledge of AI and deep learning frameworks: PyTorch, TensorFlow, ONNX, NumPy, SciPy, etc.

Preferred Technical and Professional Expertise

• Experience with Java and Gradle
• Experience with message-based systems Kafka and/or RabbitMQ.
• Experience with the major cloud providers (IBM Cloud, AWS or Azure) with a focus on containerization and DevOps practices.
• Strong understanding of cloud security best practices, with experience using tools like Twistlock and Contrast

• Strong written and verbal communication skills.