Back End Developer

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
Our Software Networking Unit is looking for Software Engineers to join our development team of engineers data scientists data engineers & MLOps engineers to drive Artificial Intelligence & Machine Learning solutions for our data rich suite of software cloud networking products.

This role primarily focuses on developing ML solutions which leverage data from our products to drive insights and decision-making for our customers. The core responsibilities of the role involve building tools and products in support of automation development and implementation of machine learning and deep learning models and the execution of data engineering tasks. The successful candidate will be a strong backend software engineer and become part of our AI/ML development team who design create and support AI-driven products to deliver impactful AI solutions.

Required Technical and Professional Expertise

• 8+ years of Software Development Domain Experience
• Strong development experience with REST API based microservices development using languages such as Java Go Python
• Expertise in design patterns
• Knowledge of relational databases noSQL databases & Kafka.
• Experience working with container technologies: Kubernetes Docker OpenShift.
• Experience of automation test automation.& CICD principles.
• Excellent verbal and written communication skills with the ability to present complex technical information
• Ability to work effectively as part of a world-wide agile development team
• Proven track record of being able to own development projects from design through implementation and delivery
• Linux skills preferably in RHEL
• Proficient in both spoken and written English

Preferred Technical and Professional Expertise

• Preferred experience in one or more cloud data platform such as IBM Cloud AWS Azure GCP
• Preferred experience in collaboration with data scientist in data exploration and machine learning
• Experience with secure engineering / SPbD practices
• Certification in data engineering machine learning or AI.