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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.
Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)
Location: Pune – Onsite
About Us:
We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!
Role Overview:
We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.
Key Responsibilities:
- Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
- Collaborate with data scientists and engineers to build scalable AI-driven solutions.
- Analyze large volumes of data to extract meaningful insights and improve ad performance.
- Develop and deploy machine learning pipelines for automated decision-making.
- Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
- Optimize existing models for speed, scalability, and accuracy.
- Work closely with product managers to align AI solutions with business goals.
Requirements:
- Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
- Strong programming skills in Python, R, or similar languages.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Expertise in data processing and real-time analytics.
- Strong understanding of digital advertising, programmatic platforms, and ad server technology.
- Excellent problem-solving and analytical skills.
- Immediate joiners preferred.
Preferred Skills:
- Knowledge of big data technologies like Spark, Hadoop, or Kafka.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with MLOps practices and tools.
How to Apply:
If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.
Join us in building the future of AI-driven digital advertising!
What You’ll Do:
We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.
Responsibilities:
● Deploy, manage, and monitor infrastructure on Google Cloud Platform (GCP)
● Build CI/CD pipelines using Jenkins and integrate them with Git workflows
● Design and manage Kubernetes clusters and helm-based deployments
● Manage infrastructure as code using Terraform
● Set up logging, monitoring, and alerting (Stackdriver, Prometheus, Grafana)
● Ensure security best practices across cloud resources, networks, and secrets
● Automate repetitive operations and improve system reliability
● Collaborate with developers to troubleshoot and resolve issues in staging/production environments
What We’re Looking For:
Required Skills:
● 1–3 years of hands-on experience in a DevOps or SRE role
● Strong knowledge of GCP services (IAM, GKE, Cloud Run, VPC, Cloud Build, etc.)
● Proficiency in Kubernetes (deployment, scaling, troubleshooting)
● Experience with Terraform for infrastructure provisioning
● CI/CD pipeline setup using Jenkins, GitHub Actions, or similar tools
● Understanding of DevSecOps principles and cloud security practices
● Good command over Linux, shell scripting, and basic networking concepts
Nice to have:
● Experience with Docker, Helm, ArgoCD
● Exposure to other cloud platforms (AWS, Azure)
● Familiarity with incident response and disaster recovery planning
● Knowledge of logging and monitoring tools like ELK, Prometheus, Grafana
| CI/CD tools Jenkins/Bamboo/Teamcity/CircleCI, DevSecOps Pipeline, Cloud Services (AWS/Azure/GCP), Ansible, Terraform, Docker, Helm, Cloud formation template, Webserver deployment & config, Databases(SQL/NoSQL) deployment & config, Git, Artifactory, Monitoring tools (Nagios, Grafana, Prometheus etc), Application logs (ELK/EFK, Splunk etc.), API Gateways, Security tools, Vault. |

Hiring for one of the product based org for PAN India
Skills required:
Strong knowledge and experience of cloud infrastructure (AWS, Azure or GCP), systems, network design, and cloud migration projects.
Strong knowledge and understanding of CI/CD processes tools (Jenkins/Azure DevOps) is a must.
Strong knowledge and understanding of Docker & Kubernetes is a must.
Strong knowledge of Python, along with one more language (Shell, Groovy, or Java).
Strong prior experience using automation tools like Ansible, Terraform.
Architect systems, infrastructure & platforms using Cloud Services.
Strong communication skills. Should have demonstrated the ability to collaborate across teams and organizations.
Benefits of working with OpsTree Solutions:
Opportunity to work on the latest cutting edge tools/technologies in DevOps
Knowledge focused work culture
Collaboration with very enthusiastic DevOps experts
High growth trajectory
Opportunity to work with big shots in the IT industry
Job Description:
Mandatory Skills:
Should have strong working experience with Cloud technologies like AWS and Azure.
Should have strong working experience with CI/CD tools like Jenkins and Rundeck.
Must have experience with configuration management tools like Ansible.
Must have working knowledge on tools like Terraform.
Must be good at Scripting Languages like shell scripting and python.
Should be expertise in DevOps practices and should have demonstrated the ability to apply that knowledge across diverse projects and teams.
Preferable skills:
Experience with tools like Docker, Kubernetes, Puppet, JIRA, gitlab and Jfrog.
Experience in scripting languages like groovy.
Experience with GCP
Summary & Responsibilities:
Write build pipelines and IaaC (ARM templates, terraform or cloud formation).
Develop ansible playbooks to install and configure various products.
Implement Jenkins and Rundeck jobs( and pipelines).
Must be a self-starter and be able to work well in a fast paced, dynamic environment
Work independently and resolve issues with minimal supervision.
Strong desire to learn new technologies and techniques
Strong communication (written / verbal ) skills
Qualification:
Bachelor's degree in Computer Science or equivalent.
4+ years of experience in DevOps and AWS.
2+ years of experience in Python, Shell scripting and Azure.
- Design, develop, test, debug and maintain components of the cloud infrastructure
- Manage operational priorities of the DBaaS
- Establish a process for handling and leading response to security new vulnerabilities
- Lead certification efforts from the security perspective
- Participate in penetration testing efforts
- Design and build DBaaS processes for key management, rotation storage, encryption, and password management
Requirements:
- Strong software design and implementation skills in building infrastructure frameworks
- Experience building and operating extensible, scalable resilient data systems
- Working knowledge of Java and Python Experience using public cloud infrastructure (AWS, GCP, or Azure)
- Containerization tooling (Docker, EKS, Kubernetes)
- Infrastructure as Code Tooling (Example: Terraform, Cloudformation, Etc.)
- Configuration Management Tooling (Ansible, Chef, etc.)
- Automation Scripting (Python preferred)
- Solid understanding of basic systems operations (disk, network, etc)
- Willingness and ability to learn new languages and concepts
- 5+ years of relevant experience
Rules & Responsibilities:
- Design, implement and maintain all AWS infrastructure and services within a managed service environment
- Should be able to work on 24 X 7 shifts for support of infrastructure.
- Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
- Design and implement availability, scalability, and performance plans for the AWS managed service environment
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
- Manage the production deployment and deployment automation
- Implement process and quality improvements through task automation
- Institute infrastructure as code, security automation and automation or routine maintenance tasks
- Experience with containerization and orchestration tools like docker, Kubernetes
- Build, Deploy and Manage Kubernetes clusters thru automation
- Create and deliver knowledge sharing presentations and documentation for support teams
- Learning on the job and explore new technologies with little supervision
- Work effectively with onsite/offshore teams
Qualifications:
- Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
- Experience in designing, implementing, and maintaining all AWS infrastructure and services
- Design and implement availability, scalability, and performance plans for the AWS managed service environment
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
- Hands-on technical expertise in Security Architecture, automation, integration, and deployment
- Familiarity with compliance & security standards across the enterprise IT landscape
- Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
- Solid understanding of AWS IAM Roles and Policies
- Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
- Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
- Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
- Experience in managing and working with the offshore teams
- Familiarity with CI/CD systems such as Jenkins, GitLab CI
- Scripting experience (Python, Bash, etc.)
- AWS, Kubernetes Certification is preferred
- Ability to work with and influence Engineering teams
Minimum 4 years exp
Skillsets:
- Build automation/CI: Jenkins
- Secure repositories: Artifactory, Nexus
- Build technologies: Maven, Gradle
- Development Languages: Python, Java, C#, Node, Angular, React/Redux
- SCM systems: Git, Github, Bitbucket
- Code Quality: Fisheye, Crucible, SonarQube
- Configuration Management: Packer, Ansible, Puppet, Chef
- Deployment: uDeploy, XLDeploy
- Containerization: Kubernetes, Docker, PCF, OpenShift
- Automation frameworks: Selenium, TestNG, Robot
- Work Management: JAMA, Jira
- Strong problem solving skills, Good verbal and written communication skills
- Good knowledge of Linux environment: RedHat etc.
- Good in shell scripting
- Good to have Cloud Technology : AWS, GCP and Azure
• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
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