1. Human Resource Services

2. General Expectations for Innovation Lab
Domain Knowledge
Innovation Concepts like Innovation towards Zero, Business Model Innovation, Blue Ocean Strategy & Shift, Reverse Innovation, Lean Startup and Idea + Execution = Innovation
Research methods, Platform & Product Development & Management and Ideate-Prototype-Propose–Implement methodology
Design/Creative Thinking, UX and Customer/Experience Journey
Omni Channel & API Architecture,  Microservices, SOA design involving Object, Component, Service, Process and Enterprise Layers and Domain Driven Design, Extreme programming, N-Tier Design with Cloud Edge Computing, Containerization, Kubernetes
Hybrid Edge Cloud IoT Architecture with Multi-Cloud & Multi-Container platform management, Cloud Data Management, Cloud Operations, Cloud Platform Architecture design and solution, SDWAN/CNS/GSLB and Serverless Concept
Bot Framework and Personal Automata Development & Integration for Automation Model
Application Security – IAST/RASP/ WAF integration to SDLC and SAST/DAST tools
Actual Agile Projects experience with a positive “agility mindset”
IT Service Management/ITIL Awareness for Change Management, Quality Assurance, Process, Controls, Workflow, Automation & Governance
TOGAF, Agile & Containers Certification are relevant and given priority beside the typical programming certification, any form of professional training in areas of Omnichannel, API Architecture, Microservices, Extreme programming & N-Tier Design with Cloud Edge Computing, Containerization, Kubernetes are welcome

3. General Expectations for Innovation Lab
Digital Trends/Technology Awareness
Blockchain, Rewards/Points/Crypto Currency/eCurrency Systems
Cloud, Edge or Distributing Computing / 5G
VR/AR/MR/ Sensory Immersion Interface-Touchless/Voice/Emotive/Motion/Brainwave & IoT
Game Design Mechanics & Behavioral Psychology
Artificial Intelligence (ASI, ANI, AGI), Analytics, RPA & GAN/CNN/RNN – Enterprise AI/ Theory of Mind Conceptualization
Enterprise Digital Data and Digital Reality Management
Cyber Security Trends and Defense
AI Safety against Adversarial Examples/Attacks, Reinforced Learning Vulnerability/ Inaccuracies/Mis-management

5. For further info contact
HEAD OFFICE & TRAINING CENTER Grha AdIns Jl. Panjang No 9C, Kebon Jeruk Jakarta Barat Tel : (+62-21) Fax : (+62-21)
PT Adicipta Carsani Ekakarya
ACE.AdIns
ACE.ITCAREER