Description
Sumerge software engineers develop the next-generation solutions that boost customers experience, transforming their performance, efficiency and the way they do business. Our world class engineers lead the software industry with their thirst to create and implement innovative transformational solutions. Aspiring to develop modern, innovative and scalable software systems, we focus on being an organization that adds value, consisting of self-driven engineers with the highest levels of technical depth, programming skills and a keen eye for quality.
Our ideal candidate is a seasoned professional who thrives on innovation and solving complex business process challenges. They have a passion for creating cutting-edge BPM (Business Process Management) solutions using the latest automation technologies and practices. They should have expertise in IBM BPM (Business Process Manager) and BAW (Business Automation Workflow) platforms, with experience in integrating these with microservices, cloud-native architectures, and DevOps pipelines. The ideal candidate will be a strong system designer, capable of implementing scalable, automated solutions for business processes, but also a skilled communicator who can present complex automation and workflow designs clearly and persuasively.
Requirements
- BA/BS in Computer Science, IT, or a related field.
- 5+ years of experience in software engineering, with a focus on cloud-native applications and automation platforms.
- Strong expertise in IBM Cloud Pak for Automation and Red Hat OpenShift.
- Experience with cloud infrastructure services like Kubernetes, Docker, and IBM Cloud.
- In-depth knowledge of automation technologies (RPA, ODM, BAW).
Preferred Skills, Capabilities & Experiences
- Experience designing automation workflows in Cloud Pak for Business Automation.
- Hands-on experience with Kubernetes clusters and container management.
- Familiarity with IBM Cloud Pak and their application to enterprise-grade solutions.
- Technical knowledge of databases like SQL, NoSQL, and distributed databases is preferred.
