NIIT

Role Description We are hiring a technically strong instructor to deliver a structured, hands-on bootcamp on Application Modernization for cohorts of Forward Deployed Engineers (FDEs) and a broader mix of architects, technical practitioners, and consulting professionals. The 5-day program covers: - Portfolio discovery - Mainframe (IBM Z) modernization - Hyperscaler target architectures (Azure-led, with AWS and GCP coexistence) - Application refactoring - Agentic AI accelerated delivery Cohorts progress through taught sessions, paired and individual labs, and a capstone where teams use Agent Builder to compress a real client modernization scenario end-to-end. This is a delivery role that combines hands-on technical fluency with strong facilitation. The instructor runs sessions, walks every lab in parallel with participants, debugs participant environments live, coaches groups through the capstone, and judges final presentations. Success in the role depends equally on the ability to teach conceptually at pace and to recover smoothly from the inevitable lab and environment failures that occur in live delivery. This is an active, evolving program. Instructors are expected to contribute observations, fixes, and improvements with every cohort they run. Program at a Glance: - Day 1 – Discover and Assess: Application Modernization Intelligence (AMI), portfolio assessment, 6R/7R disposition. - Day 2 – Design and Roadmap: zCloud / IBM Z as a Service (AP×Q), modernize on / with / off, hyperscaler coexistence, DC relocation, Z DevOps target architecture. - Day 3 – Execute on the Mainframe: Stand up a zCloud pattern (replatform / refactor / coexist), articulate the AP×Q value story. - Day 4 – Execute the Application Estate: Containerization, microservices refactor, CI/CD, ADEC / AppCOE / AMS handover. - Day 5 – Agent Accelerated Delivery and Capstone: Agent Builder propositions across agentic SDLC, legacy code analysis, doc and test generation, DB migration, and UI/UX transformation. Qualifications - Refactoring patterns: strangler fig, anti-corruption layer, branch by abstraction, and database decomposition. - Containerization: Docker fundamentals, image build and registry workflows, Kubernetes (pods, deployments, services, ingress, configmaps/secrets), and Helm at a working level. Familiarity with OpenShift is a plus. - Microservices design: domain decomposition, API contracts (REST and gRPC), event-driven patterns, and observability (structured logging, metrics, distributed tracing). - CI/CD: pipeline design, environment promotion, infrastructure as code (Terraform or Bicep), and GitOps basics. - Database migration: schema conversion, data movement strategies, and cutover patterns from mainframe (Db2, IMS, VSAM) and on-prem RDBMS to cloud-native data services. - Agentic AI: Basic understanding of LLM APIs, tool calling, retrieval-augmented generation (RAG), and agent loops (e.g., ReAct pattern). - Core Engineering Toolchain: Basic knowledge of Linux, Bash scripting, Python, Git, and REST APIs. Requirements - Demonstrated experience facilitating technical training, workshops, or enablement programs for professional engineering audiences. - Able to explain complex modernization concepts clearly, adjust language for different knowledge levels, and handle challenging questions composedly. - Able to deliver technical content to mixed-seniority engineering audiences with clarity and confidence. - Able to diagnose and recover from lab environment failures live without losing cohort momentum. - Comfortable managing a full-day technical session including Q and A, group pacing, and ad-hoc debugging. - Proficient with virtual delivery platforms such as Microsoft Teams, Zoom, or equivalent. Benefits - IBM certifications in z/OS, COBOL, or zCloud-related disciplines. - Microsoft Azure certifications (AZ-104, AZ-305, AZ-400, or AZ-204). - Certified Kubernetes Administrator (CKA) or Application Developer (CKAD). - Hands-on experience with mainframe modernization tooling such as IBM Watsonx Code Assistant for Z, IBM Application Discovery and Delivery Intelligence (ADDI), Micro Focus Enterprise, or comparable. - Familiarity with hyperscaler mainframe-modernization offerings (e.g., AWS Mainframe Modernization, Google Dual Run). - Experience with hand-over models such as ADEC / AppCOE / AMS or equivalent application managed-services constructs. - Regulated-industry context: financial services, insurance, healthcare, or public sector modernization engagements. Preferred Background - Prior experience designing or delivering instructor-led technical bootcamps or workshops for engineering cohorts. - Background in software architecture, application modernization consulting, or cloud transformation delivery. - Experience leading or participating in mainframe-to-cloud or distributed-to-cloud migration programs. - Familiarity with Agile delivery methodologies and DevOps practices as context for the audience. - Instructional design or curriculum development experience.