TRAINING CONSULTANT

Job Summary About NIIT At NIIT, we’re changing how the world learns. That’s why the world’s best-run learning functions across 30 countries trust us with their learning and talent. Since 1981, we have helped leading companies transform their learning ecosystems while increasing the business value of learning. Our comprehensive, high-impact managed learning solutions weave together the best of learning theory, technology, operations, and services to enable a thriving workforce. Link to our LinkedIn Page - https://www.linkedin.com/company/niit-limited/ Link for our website: https://www.niit.com/en/learning-outsourcing/ NIIT is an equal opportunity employer. We evaluate qualified applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Title:- Technical Trainer Location - Remote Duration - Freelance (5 Days a week) Role Summary 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, and 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.

Key Responsibilities

Teaching and Content Delivery Educational Qualification Experience .

• 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)
• Working understanding of LLM APIs, tool calling, retrieval-augmented generation (RAG), and agent loops (e.g., ReAct pattern).
• Able to explain where agentic AI accelerates the SDLC for modernization and where human review is non-negotiable. Core Engineering Toolchain ( basic)
• Linux: shell navigation, file and permission management, package installation, basic text editing.
• Bash scripting: variables, conditionals, loops, script execution, and troubleshooting.
• Python: data types, control flow, functions, modules, JSON handling, and REST API calls. Comfortable reading and debugging scripts.
• Git: clone, branch, commit, push, pull requests, and merge conflict resolution.
• REST APIs: HTTP verbs, JSON request and response structure, token and API key authentication. Delivery and Facilitation Skills
• 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 (this is a critical skill).
• 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. Strongly Recommended (Good to have)
• 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

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