VDart Digital

Key Responsibilities

·      Functional Configuration: Lead configuration and setup of Fusion Procurement modules to meet business requirements.

·      Sourcing & Procurement:

1.      Manage RFPs (Request for Proposals), Tenders, and Knockout Analysis within Oracle Fusion Sourcing.

2.      Guide stakeholders in supplier selection and scoring using sourcing tools.

3.      Configure and optimize sourcing workflows, events, and evaluation criteria.

·      Cross-Functional Collaboration: Work closely with developers, QA, and DevOps teams to align solution design and technical requirements.

·      End-to-End Testing: Drive user acceptance testing (UAT) and ensure timely sign-off.

·      Quarterly Release Management: Assess Oracle Cloud quarterly updates and plan functional enhancements proactively.

·      Documentation & Training: Prepare functional specifications, maintain knowledge base, deliver training, and facilitate knowledge transfer across the pod.

·      Performance Monitoring: Analyze source-to-pay (S2P) processes, recommend improvements, optimizations, and report on KPIs.

Required Qualifications

·      Bachelor’s Degree in Engineering, Information Systems, or equivalent.

·      5+ years of experience as an Oracle Fusion Procurement Functional Consultant.

·      Strong expertise in configuring Procurement Cloud modules (Purchasing, Self-Service Procurement, Supplier Portal, Supplier Qualification, Sourcing, Contracts).

·      Hands-on experience with Sourcing processes, including RFPs, Tenders, and Knockout Analysis.

·      Consulting or DevOps experience, including enhancement cycles and rapid deployments.

·      Construction industry experience is a plus.

·      Experience with reporting tools (OTBI/BIP) and BPM workflow testing.

·      Excellent verbal and written communication skills. Strong collaboration and stakeholder management capabilities.

·      Comfortable working in a fast-paced, SLA-driven, sprint-based pod delivery model.

We are seeking an experienced Enterprise Architect who will drive architecture governance, standardization, and alignment across digital and technology initiatives. The role focuses on establishing and enforcing enterprise architecture frameworks, leading architecture reviews, managing demand, and enabling end-to-end (E2E) architecture consistency across multiple business entities.

Key Responsibilities

• Define, maintain, and evolve the Enterprise Architecture (EA) framework aligned with business and technology strategy.
• Lead architecture governance, including conducting Architecture Review Boards (ARB) and ensuring adherence to defined standards.
• Perform architecture assessments and solution reviews to ensure compliance, scalability, and integration alignment.
• Manage architecture demand intake and prioritization aligned with enterprise principles.
• Establish and manage a structured EA approval process via Jira, ensuring tracking, auditability, and SLA adherence.
• Coordinate with offshore teams to streamline review cycles and ensure timely approvals.
• Drive end-to-end (E2E) architecture alignment across business, application, data, integration, and technology domains.
• Coordinate architecture activities across multiple entities to avoid siloed implementations.
• Lead application rationalization initiatives to optimize the application landscape.
• Ensure architecture compliance across all technology initiatives.
• Facilitate collaboration between business, digital, and technology teams.
• Maintain and enhance enterprise knowledge repositories (Confluence / JIRA/ EA tools).
• Define and track architecture KPIs such as approval turnaround time and compliance adherence.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 7+ years of experience in Enterprise Architecture or Solution Architecture roles.
• Strong experience in architecture governance, reviews, and compliance enforcement.
• Hands-on exposure to end-to-end enterprise systems (ERP, CRM, integration platforms).
• Strong stakeholder management, analytical, and communication skills.

Preferred Skills

• TOGAF, Zachman, or equivalent certification.
• Experience in multi-entity enterprise environments.
• Strong understanding of integration architecture (APIs, middleware).
• Experience with application portfolio management.
• Familiarity with EA tools, Jira, and Confluence.
• Exposure to cloud architectures and modern platforms.

Hi,

Please let me know your interest for below role.

SAP Application Development, Full Stack Development, UI5, Fiori & Node.js expert

Fulltime

Bangalore-Hybrid

Skills & Requirements:

• Extensive technical delivery experience in SAP projects
• Experience in developing and implementing SAP technical standards & processes
• Good knowledge in the following technology areas:
• SAP Business Technology Platform Architecture
• SAP ECC6 & S/4 HANA
• SAP Integration
• SAP on Hyperscale’s
• SAP on Azure.
• FIORI
• SAP Cloud application programming.
• Java node.js
• HTML5
• UI5
• SAP BTP skills added advantage.
• GitHub knowledge is plus. 

Hi,

please let me know your interest for the below role

Ansible Automation Developer

Fulltime

Bangalore—Hybrid

Note: No need of devops candidate. client looking for programming or coder candidate like software developer or ansible automation candidate.

The minimum skill expectation for these demands is the below combination:

Ansible (programming + Linux) + Python (programming) + API Programming for CMDB (RESTCONF, NETCONF or other) + Github & CI/CD (assuming it’s common nowadays) + background of coding/managing codebases for Configuring Networking Devices/Services in enterprise/production landscapes (Cisco or any other) + 1. Other skills mentioned in the JD (in the section: SKILL MATRIX) are not mandatory but preferred.

• Design, develop, and implement automation solutions to integrate disparate systems,

ensuring smooth and efficient end-to-end workflows.

• Collaborate closely with stakeholders to understand requirements and provide scalable

integration solutions using Ansible, ServiceNow, GitHub, etc.

• Create and maintain API-based integrations.
• Write Python scripts / logic within Ansible playbooks.
• Test and document all integration processes, design decisions, and developed solutions.
• Troubleshoot and resolve system integration and workflow issues, ensuring high levels

of performance and security.

• Continuously monitor and analyse the efficiency of integrated solutions, proposing and

implementing improvements when necessary.

• Participate in regular review sessions with IT peers to discuss best practices, new

technologies, and potential optimizations.

• Offer training and support to other IT team members on integrated systems and

platforms.

• Develop Ansible playbooks for network orchestration.
• Standardize and document network configurations using YANG modelling for Cisco

routers and switches in a design implementation guideline, ensuring alignment with

industry best practices and uniformity across the organization.

• Experience in working in agile environment .
• Background in IT service delivery (ITIL certification preferred).
• Proven technical acumen; ability to bridge tech specifications and business concepts.
• Proficient in WAN, LAN, Wireless LAN, IP - mgt, DNS, DHCP.
• Preferred network related certifications: Cisco DevNet Professional, Cisco CCNP.

Hi,

Let me know your interest for the below role.

Kinaxis Consultant

Remote

Fulltime

Seeking an experienced Kinaxis Demand Planning Consultant to support and optimize demand planning processes within the Kinaxis Rapid Response platform. The ideal candidate will possess strong expertise in supply chain planning, demand forecasting, and Kinaxis solution configuration. This role requires close collaboration with business stakeholders, supply chain teams, and technical resources to deliver effective planning solutions and improve 

Key Responsibilities

• Design, configure, and support Kinaxis Rapid Response Demand Planning solutions.
• Gather, analyze, and document business requirements related to demand forecasting and supply chain planning.
• Configure forecasting models, planning measures, hierarchies, dashboards, and workflows within Kinaxis.
• Support forecast collaboration, demand management, and consensus planning processes.
• Work with business users to improve planning effectiveness and forecast accuracy.
• Develop and maintain integrations between Kinaxis and enterprise systems such as SAP, Oracle, or other ERP platforms.
• Perform system testing, data validation, troubleshooting, and issue resolution.
• Support User Acceptance Testing (UAT), production deployments, and post-go-live activities.
• Create and maintain functional and technical documentation.
• Recommend process improvements and best practices for demand planning and supply chain operations.

Required Qualifications

• 5+ years of experience in Supply Chain Planning and Demand Planning.
• 3+ years of hands-on experience with Kinaxis RapidResponse.
• Strong expertise in Kinaxis Demand Planning modules and forecasting capabilities.
• Experience configuring demand planning models, measures, dimensions, and planning workflows.
• Strong understanding of demand forecasting methodologies and statistical forecasting techniques.
• Experience with ERP systems such as SAP, Oracle, JD Edwards, or Microsoft Dynamics.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a remote environment.

Preferred Qualifications

• Kinaxis RapidResponse Certification.
• Experience with Supply Planning, Inventory Planning, S&OP, and Integrated Business Planning (IBP).
• Experience in Manufacturing, Retail, Consumer Goods, Life Sciences, or High-Tech industries.
• Knowledge of SQL, data integration, and reporting tools.
• Experience participating in end-to-end Kinaxis implementations.

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

• Define cloud architecture standards, reference architectures, and best practices.

• Lead cloud migration and modernisation initiatives across enterprise workloads.

• Implement multi-region disaster recovery and business continuity strategies.

• Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

• Establish branching strategies, release management, and environment promotion standards.

• Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

• Design and implement enterprise MLOps frameworks.

• Build automated model training, validation, deployment, and monitoring pipelines.

• Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.

• Build AI Agents using Azure AI Foundry.

• Develop Agent-to-Agent communication patterns.

• Implement Retrieval Augmented Generation (RAG) architectures.

• Build enterprise Knowledge Management and AI Skill Registry platforms.

• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

• Mentor and guide junior architects, developers, and DevOps engineers.

• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

• Produce architecture documentation, decision records (ADRs), and roadmaps.

• Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

• 10+ years of experience in cloud engineering and architecture.

• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

• Proven experience designing and implementing enterprise-grade CI/CD pipelines.

• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

• Deep knowledge of DevSecOps principles, tools, and practices.

• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

• Proficiency in scripting and development: Python, PowerShell, Bash.

• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Microsoft Certified: Azure Solutions Architect Expert.

• Microsoft Certified: DevOps Engineer Expert.

• Microsoft Certified: Azure AI Engineer Associate.

• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

• Familiarity with Datadog, Prometheus, or equivalent observability platforms.

• Experience in the real estate, retail, or enterprise industry sector.

• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

• Background in building Internal Developer Platforms (IDP).

JD: Pricefx consultant

Fulltime

Remote

Certified Pricefx consultant. Having hands on experience in development, Support and configuration

Knowledge/ Experience of Java React • Strong understanding of the development process.

Knowledge on best practices for the software development life cycle, including coding standards, code refactor, code reviews, source control, build and deployment, testing.

Good to have knowledge on JavaScript frameworks, CSS 3, HTML5, Bootstrap.

Experience in communicating with business analyst, business users, other technical team members, and management to collect requirements.

Experienced in working in an agile development and Self-managed environment.

Design, develop, implement, and maintain/support java application phases, code, and software. Java 8 is MANDATORY

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

Required Skills & Qualifications

• 15+ years of Experience in Oracle ERP Support (Cloud/EBS) and IT Service Delivery Management.
• Understanding of Oracle ERP modules (e.g., Financials, HCM, SCM).
• Good client-facing, negotiation, and communication skills.

Responsibilities:

• Manage end-to-end support operations, ensuring compliance with Service Level Agreements (SLAs) and Key Performance Indicators (KPIs).
• Lead incidents, problems, and change management processes, including supporting patches and new releases. Develop service dashboards, monitor performance metrics, and ensure adherence to compliance and risk management.
• Identify opportunities for automation and process optimization within ERP operations.

• Own end-to-end delivery of Oracle Fusion application services
• Act as primary contact for client stakeholders for service performance
• Oversee incident, problem, and change management
• Monitor SLA adherence, produce performance dashboards, and ensure governance compliance
• Drive service improvements, resource allocation, and escalation management
• Coordinate offshore/onsite teams and ensure smooth service transition
• 8+ years’ experience in application support/service delivery
• Knowledge of ITIL processes
• Strong analytical, coordination, and reporting skills
• Proven experience in managing application support teams
• Excellent stakeholder management, communication, and leadership skills