Job
Description
Design, develop and support world class scalable, secure, and high-performance software systemsBuild systems for cloud and on-premises environmentsUse modern architectural principles and best of theclass tools and technologiesCollaborate with architects and other stakeholders to bring in world class user experienceLead Technical Initiatives that aligns with business goals and objectives.Mentor, Coach and provide technical leadershipWork in an agile, collaborative, distributed, fast paced and exciting environment.Stay current with industry trends, best practices, and emerging technologies.
Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 15-18 years of experience of successfully working collaboratively to translate business goals into technical solutions and advising teams on optimal technology strategies to achieve business results.Drive the architecture and implementation of scalable, enterprise-grade solutions on IBM Cloud and hybrid environments. You will blend deep Java/J2EE expertise with microservices, DevOps, and emerging agentic AI techniques—designing frameworks for autonomous agents, RAG-powered assistants, and LLM orchestration. This role partners closely with product teams to deliver robust, explainable, and user-centric services across industries.
Key ResponsibilitiesArchitect and develop microservices-based platforms on IBM Cloud (Cloud Foundry, Kubernetes) and hybrid landscapesDesign and implement CI/CD pipelines, infrastructure-as-code (Terraform, IBM Cloud Schematics), monitoring (Grafana, Dynatrace) and automated incident managementLead the integration of agentic AI capabilitiesLangChain workflows, retrieval-augmented generation (RAG), LLM orchestration, and context-aware chatbotsDefine governance models and onboarding flows that ensure transparency, security, and scalability for internal and external stakeholdersMentor and guide cross-functional teams, conduct code and design reviews, and foster agile best practices (Scrum, Kanban)Collaborate with product and research groups to embed AI ethics, explainability, and data privacy into every service
Preferred technical and professional experience Proven track record in transforming monolithic systems into cloud-native microservicesHands-on experience building unified messaging or event streaming services with GitOps approachesPrior work on RAG-driven chatbots, context-aware assistants, or cognitive search solutionsFamiliarity with IBM watsonx Orchestrate andwatsonx.aiContributions to patents, open-source AI frameworks, or speaking engagements at industry conference