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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.

Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting

●              Work with application development teams to identify and understand their operational pain points.

●              Document these challenges and define goals to be achieved by the infrastructure team.

●              Prototype and evaluate multiple solutions, often by experimenting with various vendors and tools available, to achieve the goals undertaken.

●              Rollout tools and processes with heavy focus on automation.

●              Evangelize and help onboard application development teams on the platforms provided by the infrastructure team.

●              Co-own the responsibility with application development teams to ensure the reliability of services.

●              Design and implement solutions around observability to ensure ease of maintenance and quick debugging of services

●              Establish and implement administrative and operational best practices in the application development teams.

●              Find avenues to reduce infrastructure costs and drive optimization in all services.

●              5+ years of experience as a DevOps / Infrastructure engineer with cloud platforms (preferably AWS)

●              Experience with git, CI / CD, Docker, etc

●              Experience in working with infrastructure as code (Terraform, etc).

●              Strong Linux Shell scripting experience

●              Experience with one of the programming languages like Python, Java, Kotlin, etc.

Roles & Responsibilities:

• Bachelor’s degree in Computer Science, Information Technology or a related field

• Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure

• Knowledge in Linux/Unix Administration and Python/Shell Scripting

• Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure

• Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms

• Experience in enterprise application development, maintenance and operations

• Knowledge of best practices and IT operations in an always-up, always-available service

• Excellent written and oral communication skills, judgment and decision-making skills

LogiNext is looking for a technically savvy and passionate Senior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 4 to 7 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

Responsibilities

• Implement various development, testing, automation tools, and IT infrastructure
• Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
• Manage end-to-end production workloads hosted on Docker and AWS
• Automate CI pipeline using Groovy DSL
• Deploy and configure Kubernetes clusters (EKS)
• Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker

Eligibility

• At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
• Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
• Experience in deploying and managing production environments in Amazon AWS
• Strong experience in continuous integration and continuous deployment
• Knowledge of application build, deployment, and configuration using one of the tools: Jenkins

What you need to have: