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Job Title : Senior SAP PPDS Consultant
Experience : 6+ Years
Location : Open to USI locations (Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon)
Job Type : Full-Time
Start Date : Immediate Joiners Preferred
Job Description :
We are urgently seeking a Senior SAP PPDS (Production Planning and Detailed Scheduling) Consultant with strong implementation experience.
The ideal candidate will be responsible for leading and supporting end-to-end project delivery for SAP PPDS, contributing to solution design, configuration, testing, and deployment in both Greenfield and Brownfield environments.
Mandatory Skills : SAP PPDS, CIF Integration, Heuristics, Pegging Strategies, Production Scheduling, S/4 HANA or ECC, Greenfield/Brownfield Implementation.
Key Responsibilities :
- Lead the implementation of SAP PPDS modules including system configuration and integration with SAP ECC/S4 HANA.
- Collaborate with stakeholders to gather requirements and define functional specifications.
- Design, configure, and test SAP PPDS solutions to meet business needs.
- Provide support for system upgrades, patches, and enhancements.
- Participate in workshops, training sessions, and knowledge transfers.
- Troubleshoot and resolve issues during implementation and post-go-live.
- Ensure documentation of functional specifications, configuration, and user manuals.
Required Skills :
- Minimum 6+ Years of SAP PPDS experience.
- At least 1-2 Greenfield or Brownfield implementation projects.
- Strong understanding of supply chain planning and production scheduling.
- Hands-on experience in CIF integration, heuristics, optimization, and pegging strategies.
- Excellent communication and client interaction skills.
Preferred Qualifications :
- Experience in S/4 HANA environment.
- SAP PPDS Certification is a plus.
- Experience working in large-scale global projects.
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).
Technical Skills
Domain
Technologies / Tools
Cloud Platform
Microsoft Azure (UAE North / Global)
DevOps & CI/CD
Azure DevOps, GitHub Actions, Jenkins
IaC
Terraform, Bicep, ARM Templates
AI / ML
Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services
Containers
Docker, Kubernetes (AKS), Azure Container Apps
Identity & Security
Microsoft Entra ID, Azure Policy, Defender for Cloud
Observability
Datadog, Azure Monitor, Log Analytics, Application Insights
Databases
Azure SQL, PostgreSQL, Cosmos DB
Languages
Python, PowerShell, Bash, YAML
Python
Ruby
Jenkinswe’d love to speak with you. Skills and Qualifications:
Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.
Proficiency in scripting languages such as Python, Bash, or Ruby.
Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.
Experience with version control systems such as Git.
Familiarity with Agile methodologies and practices.
Understanding of networking concepts and principles.
Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.
Good understanding of security and data protection principles.
Roles and responsibilities:
● Building and setting up new development tools and infrastructure
● Working on ways to automate and improve development and release processes
● Deploy updates and fixes
● Helping to ensure information security best practices
● Provide Level 2 technical support
● Perform root cause analysis for production errors
● Investigate and resolve technical issues
Amazon Web Services (AWS)
Kubernetes
DockerWe are looking to fill the role of AWS devops engineer . To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities:
- Engineer solutions using AWS services (Cloud Formation, EC2, Lambda, Route 53, ECS, EFS )
- Balance hardware, network, and software layers to arrive at a scalable and maintainable solution that meets requirements for uptime, performance, and functionality
- Monitor server applications and use tools and log files to troubleshoot and resolve problems
- Maintain 99.99% availability of the web and integration services
- Anticipate, identify, mitigate, and resolve issues relating to client facing infrastructure
- Monitor, analyse, and predict trends for system performance, capacity, efficiency, and reliability and recommend enhancements in order to better meet client SLAs and standards
- Research and recommend innovative and automated approaches for system administration and DevOps tasks
- Deploy and decommission client environments for multi and single tenant hosted applications following and updating as needed established processes and procedures
- Follow and develop CPA change control processes for modifications to systems and associated components
Practice configuration management, including maintenance of component inventory and related documentation per company policies and procedures.
Qualifications :
- Git/GitHub version control tools
- Linux and/or Windows Virtualisation (VMWare, Xen, KVM, Virtual Box )
- Cloud computing (AWS, Google App Engine, Rackspace Cloud)
- Application Servers, servlet containers and web servers (WebSphere, Tomcat)
- Bachelors / Masters Degree - 2+ years experience in software development
- Must have experience with AWS VPC networking and security
- 3+ years of relevant experience
- 2+ years experience with AWS (EC2, ECS, RDS, Elastic Cache, etc)
- Well versed with maintaining infrastructure as code (Terraform, Cloudformation, etc)
- Experience in setting CI/CD pipelines from scratch
- Knowledge of setting up and securing networks (VPN, Intranet, VPC, Peering, etc)
- Understanding of common security issues
KubernetesExperience: 8-10yrs
Notice Period: max 15days
Must-haves*
1. Knowledge about Database/NoSQL DB hosting fundamentals (RDS multi-AZ, DynamoDB, MongoDB, and such)
2. Knowledge of different storage platforms on AWS (EBS, EFS, FSx) - mounting persistent volumes with Docker Containers
3. In-depth knowledge of Security principles on AWS (WAF, DDoS, Security Groups, NACL's, IAM groups, and SSO)
4. Knowledge on CI/CD platforms is required (Jenkins, GitHub actions, etc.) - Migration of AWS Code pipelines to GitHub actions
5. Knowledge of vast variety of AWS services (SNS, SES, SQS, Athena, Kinesis, S3, ECS, EKS, etc.) is required
6. Knowledge on Infrastructure as Code tool is required We use Cloudformation. (Terraform is a plus), ideally, we would like to migrate to Terraform from CloudFormation
7. Setting CloudWatch Alarms and SMS/Email Slack alerts.
8. Some Knowledge on configuring any kind of monitoring tool such as Prometheus, Dynatrace, etc. (We currently use Datadog, CloudWatch)
9. Experience with any CDN provider configurations (Cloudflare, Fastly, or CloudFront)
10. Experience with either Python or Go scripting language.
11. Experience with Git branching strategy
12. Containers hosting knowledge on both Windows and Linux
The below list is *Nice to Have*
1. Integration experience with Code Quality tools (SonarQube, NetSparker, etc) with CI/CD
2. Kubernetes
3. CDN's other than CloudFront (Cloudflare, Fastly, etc)
4. Collaboration with multiple teams
5. GitOps
DockerKubernetesWhat you will do:
- Handling Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups and monitoring
- Logging, metrics and alerting management
- Creating Docker files
- Performing root cause analysis for production errors
What you need to have:
- 12+ years of experience in Software Development/ QA/ Software Deployment with 5+ years of experience in managing high performing teams
- Proficiency in VMware, AWS & cloud applications development, deployment
- Good knowledge in Java, Node.js
- Experience working with RESTful APIs, JSON etc
- Experience with Unit/ Functional automation is a plus
- Experience with MySQL, Mango DB, Redis, Rabbit MQ
- Proficiency in Jenkins. Ansible, Terraform/Chef/Ant
- Proficiency in Linux based Operating Systems
- Proficiency of Cloud Infrastructure like Dockers, Kubernetes
- Strong problem solving and analytical skills
- Good written and oral communication skills
- Sound understanding in areas of Computer Science such as algorithms, data structures, object oriented design, databases
- Proficiency in monitoring and observability
JenkinsKubernetesDockerAmazon Web Services (AWS)- Development and maintenance of Continuous Integration System on JENKINS.
- Build management for the planned major/minor releases
- Release process management and maintenance
- Enhancement and development of build/release system features.
Required Qualifications:
- 2 - 3 years relevant work experience in Jenkins / Scripting / C / Linux
- Expertise in scripting languages like a shell, python, etc
- Work experience in handling Make/CMake build systems
- Expertise in GIT source revision control
- Experience with Yocto build systems and recipes
KubernetesDockerThe mission of R&D IT Design Infrastructure is to offer a state-of-the-art design environment
for the chip hardware designers. The R&D IT design environment is a complex landscape of EDA Applications, High Performance Compute, and Storage environments - consolidated in five regional datacenters. Over 7,000 chip hardware designers, spread across 40+ locations around the world, use this state-of-the-art design environment to design new chips and drive the innovation of company. The following figures give an idea about the scale: the landscape has more 75,000+ cores, 30+ PBytes of data, and serves 2,000+ CAD applications and versions. The operational service teams are globally organized to cover 24/7 support to the chip hardware design and software design projects.
Since the landscape is really too complex to manage the traditional way, it is our strategy to transform our R&D IT design infrastructure into “software-defined datacenters”. This transformation entails a different way of work and a different mind-set (DevOps, Site Reliability Engineering) to ensure that our IT services are reliable. That’s why we are looking for a DevOps Linux Engineer to strengthen the team that is building a new on-premise software defined virtualization and containerization platform (PaaS) for our IT landscape, so that we can manage it with best practices from software engineering and offer the IT service reliability which is required by our chip hardware design community.
It will be your role to develop and maintain the base Linux OS images that are offered via automation to the customers of the internal (on-premise) cloud platforms.
Your responsibilities as DevOps Linux Engineer:
• Develop and maintain the base RedHat Linux operating system images
• Develop and maintain code to configure and test the base OS image
• Provide input to support the team to design, develop and maintain automation
products with playbooks (YAML) and modules (Python/PowerShell) in tools like
Ansible Tower and Service-Now
• Test and verify the code produced by the team (including your own) to continuously
improve and refactor
• Troubleshoot and solve incidents on the RedHat Linux operating system
• Work actively with other teams to align on the architecture of the PaaS solution
• Keep the Base OS image up2date via patches or make sure patches are available to
the virtual machine owners
• Train team members and others with your extensive automation knowledge
• Work together with ServiceNow developers in your team to provide the best intuitive
end-user experience possible for the virtual machine OS deployments
We are looking for a DevOps engineer/consultant with the following characteristics:
• Master or Bachelor degree
• You are a technical, creative, analytical and open-minded engineer that is eager to
learn and not afraid to take initiative.
• Your favorite t-shirt has “Linux” or “RedHat” printed on it at least once.
• Linux guru: You have great knowledge Linux servers (RedHat), RedHat Satellite 6
and other RedHat products
• Experience in Infrastructure services, e.g., Networking, DNS, LDAP, SMTP
• DevOps mindset: You are a team-player that is eager to develop and maintain cool
products to automate/optimize processes in a complex IT infrastructure and are able
to build and maintain productive working relationships
• You have great English communication skills, both verbally as in writing.
• No issue to work outside business hours to support the platform for critical R&D
Applications
Other competences we value, but are not strictly mandatory:
• Experience with agile development methods, like Scrum, and are convinced of its
power to deliver products with immense (business) value.
• “Security” is your middle name, and you are always challenging yourself and your
colleagues to design and develop new solutions as security tight as possible.
• Being a master in automation and orchestration with tools like Ansible Tower (or
comparable) and feel comfortable with developing new modules in Python or
PowerShell.
• It would be awesome if you are already a true Yoda when it comes to code version
control and branching strategies with Git, and preferably have worked with GitLab
before.
• Experience with automated testing in a CI/CD pipeline with Ansible, Python and tools
like Selenium.
• An enthusiast on cloud platforms like Azure & AWS.
• Background in and affinity with R&D
DockerKubernetesAmazon Web Services (AWS)- 2+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
- 2+ years of hands-on experience as a DevOps engineer
- Strong leadership, communication and interpersonal skills geared to getting things done
- Developing themselves and the talent within their charge – fostering and creating opportunity for the team
- Strong understanding of SRE concepts and the DevOps culture. Set the direction and strategy for your team, and help shape the overall SRE program for the company
- Be able to lead complicated technical issues and communicating status updates/RCA with management and customers.
- Own site stability, performance, capacity planning, DevOps recruitment.
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