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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.
Kubernetes
Docker
Jenkins
Amazon Web Services (AWS)
Who you are
The possibility of having massive societal impact. Our software touches the lives of hundreds of millions of people.
Solving hard governance and societal challenges
Work directly with central and state government leaders and other dignitaries
Mentorship from world class people and rich ecosystems
Position : Architect or Technical Lead - DevOps
Location : Bangalore
Role:
Strong knowledge on architecture and system design skills for multi-tenant, multi-region, redundant and highly- available mission-critical systems.
Clear understanding of core cloud platform technologies across public and private clouds.
Lead DevOps practices for Continuous Integration and Continuous Deployment pipeline and IT operations practices, scaling, metrics, as well as running day-to-day operations from development to production for the platform.
Implement non-functional requirements needed for a world-class reliability, scale, security and cost-efficiency throughout the product development lifecycle.
Drive a culture of automation, and self-service enablement for developers.
Work with information security leadership and technical team to automate security into the platform and services.
Meet infrastructure SLAs and compliance control points of cloud platforms.
Define and contribute to initiatives to continually improve Solution Delivery processes.
Improve organisation’s capability to build, deliver and scale software as a service on the cloud
Interface with Engineering, Product and Technical Architecture group to meet joint objectives.
You are deeply motivated & have knowledge of solving hard to crack societal challenges with the stamina to see it all the way through.
You must have 7+ years of hands-on experience on DevOps, MSA and Kubernetes platform.
You must have 2+ years of strong kubernetes experience and must have CKA (Certified Kubernetes Administrator).
You should be proficient in tools/technologies involved for a microservices architecture and deployed in a multi cloud kubernetes environment.
You should have hands-on experience in architecting and building CI/CD pipelines from code check-in until production.
You should have strong knowledge on Dockers, Jenkins pipeline scripting, Helm charts, kubernetes objects and manifests, prometheus and demonstrate hands-on knowledge of multi cloud computing, storage and networking.
You should have experience in designing, provisioning and administrating using best practices across multiple public cloud offerings (Azure, AWS, GCP) and/or private cloud offerings ( OpenStack, VMware, Nutanix, NIC, bare metal Infra).
You should have experience in setting up logging, monitoring Cloud application performance, error rates, and error budgets while tracking adherence to SLOs and SLAs.
DockerKubernetesAmazon Web Services (AWS)Key Responsibilities:
- Work with the development team to plan, execute and monitor deployments
- Capacity planning for product deployments
- Adopt best practices for deployment and monitoring systems
- Ensure the SLAs for performance, up time are met
- Constantly monitor systems, suggest changes to improve performance and decrease costs.
- Ensure the highest standards of security
Key Competencies (Functional):
- Proficiency in coding in atleast one scripting language - bash, Python, etc
- Has personally managed a fleet of servers (> 15)
- Understand different environments production, deployment and staging
- Worked in micro service / Service oriented architecture systems
- Has worked with automated deployment systems – Ansible / Chef / Puppet.
- Can write MySQL queries
KubernetesDockerJenkinsAs a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
KubernetesDockerAmazon Web Services (AWS)Roles & Responsibilities :
- Champion engineering and operational excellence.
- Establish a solid infrastructure framework and excellent development and deployment processes.
- Provide technical guidance to both your team members and your peers from the development team.
- Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
- Be part of and help create a positive work environment based on accountability.
- Communicate across functions and drive engineering initiatives.
- Initiate cross team collaboration with product development teams to develop high quality, polished products, and services.
Required Skills :
- 5+ years of professional experience developing and launching software products on Cloud.
- Basic understanding Java/Go Programming
- Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
- Deep understanding of AWS or Any Cloud.
- Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
- Good Understanding of Operating systems
- Strong technical background with track record of individual technical accomplishments
- Ability to handle multiple competing priorities in a fast-paced environment
- Ability to establish credibility with smart engineers quickly.
- Most importantly, ability to learn and urge to learn new things.
- B.Tech/M.Tech in Computer Science or a related technical field.
KubernetesDockerAmazon Web Services (AWS)Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
Java
PythonAmazon Web Services (AWS)Cloud Software Engineer
Notice Period: 45 days / Immediate Joining
Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure. We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms. Our engagement service is built on the DevOps standard practice and SRE model.
We offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.
Roles and Responsibilities
· A wide variety of engineering projects including data visualization, web services, data engineering, web-portals, SDKs, and integrations in numerous languages, frameworks, and clouds platforms
· Apply continuous delivery practices to deliver high-quality software and value as early as possible.
· Work in collaborative teams to build new experiences
· Participate in the entire cycle of software consulting and delivery from ideation to deployment
· Integrating multiple software products across cloud and hybrid environments
· Developing processes and procedures for software applications migration to the cloud, as well as managed services in the cloud
· Migrating existing on-premises software applications to cloud leveraging a structured method and best practices
Desired Candidate Profile : *** freshers can also apply ***
· 2+years of experience with 1 or more development languages such as Java, Python, or Spark.
· 1 year + of experience with private/public/hybrid cloud model design, implementation, orchestration, and support.
· Certification or any training's completion of any one of the cloud environments like AWS, GCP, Azure, Oracle Cloud, and Digital Ocean.
· Strong problem-solvers who are comfortable in unfamiliar situations, and can view challenges through multiple perspectives
· Driven to develop technical skills for oneself and team-mates
· Hands-on experience with cloud computing and/or traditional enterprise datacentre technologies, i.e., network, compute, storage, and virtualization.
· Possess at least one cloud-related certification from AWS, Azure, or equivalent
· Ability to write high-quality, well-tested code and comfort with Object-Oriented or functional programming patterns
· Past experience quickly learning new languages and frameworks
· Ability to work with a high degree of autonomy and self-direction
http://www.banyandata.com" target="_blank">www.banyandata.com
KubernetesDockerAmazon Web Services (AWS)As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.
You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code
Your Key Responsibilities
- Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
- Developing reusable Infrastructure code and testing frameworks
- Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
- Design a scalable Centralized Logging and Metrics platform
- Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.
What to Bring
- Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
- Experience in developing applications using programming languages like Java, Python and Go
- Experience in handling logs and metrics at a high scale.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
DockerAmazon Web Services (AWS)
MongoDB● Responsible for design, development, and implementation of Cloud solutions.
● Responsible for achieving automation & orchestration of tools(Puppet/Chef)
● Monitoring the product's security & health(Datadog/Newrelic)
● Managing and Maintaining databases(Mongo & Postgres)
● Automating Infrastructure using AWS services like CloudFormation
● Participating in Infrastructure Security Audits
● Migrating to Container technologies (Docker/Kubernetes)
● Should be able to work on serverless concepts (AWS Lambda)
● Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
● Problem-solving skills that enable you to identify the best solutions.
● Team collaboration and flexibility at work.
● Strong verbal and written communication skills that will help in presenting complex ideas
in
● an accessible and engaging way.
● Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
● Dynamic, diverse, inclusive startup environment driven by transparency and velocity
● Bright, open, sunny working environment and collaborative office space
● Convenient office locations in Redwood City, Hyderabad and Bangalore tech hubs
● Competitive salaries and company equity, and a focus on developing world class talent operations
● Comprehensive health insurance available (medical) for you and your family
● Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
● CEO moonshots projects with cash awards every quarter
● Upskilling and learning support including via paid conferences, online courses, and certifications
● Every month Rupees 2,500 will be credited to Sudexo meal card
MongoDB- Experience: 3-5 Years
- Scripting: PowerShell and either of ( JavaScript, Python)
- Kubernetes and docker Hands-On
- Good to have either (Azure / AWS )
- Any of DB technologies Hands-ON: No SQL - Admin, COSMOS DB, MONGO DB, Maria DBA
- Good to have Analytics knowledge
Amazon Web Services (AWS)
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