11+ SAP PI Jobs in Hyderabad | SAP PI Job openings in Hyderabad

The role reports to the Head of Customer Support, and the position holder is part of the Product Team.

Main objectives of the role

·    Focus on customer satisfaction with the product and provide the first-line support.

Specialisation

·    Customer Support

·    SaaS

·    FMCG/CPG

Key processes in the role

·    Build extensive knowledge of our SAAS product platform and support our customers in using it.

·    Supporting end customers with complex questions.

·    Providing extended and elaborated answers on business & “how to” questions from customers.

·    Participating in ongoing education for Customer Support Managers.

·    Collaborate and communicate with the Development teams, Product Support and Customers

Requirements

·    Bachelor’s degree in business, IT, Engineering or Economics.

·    4-8 years of experience in a similar role in the IT Industry.

·    Solid knowledge of SaaS (Software as a Service).

·    Multitasking is your second nature, and you have a proactive + Customer First mindset.

·    3+ years of experience providing support for ERP systems, preferably SAP.

·    Familiarity with ERP/SAP integration processes and data migration.

·    Understanding of ERP/SAP functionalities, modules and data structures.

·    Understanding of technicalities like Integrations (API’s, ETL, ELT), analysing logs, identifying errors in logs, etc.

·    Experience in looking into code, changing configuration, and analysing if it's a development bug or a product bug.

·    Profound understanding of the support processes.

·    Should know where to route tickets further and know how to manage customer escalations.

·    Outstanding customer service skills.

·    Knowledge of Fast-Moving Consumer Goods (FMCG)/ Consumer Packaged Goods (CPG) industry/domain is preferable.

Excellent verbal and written communication skills in the English language

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Our Core Full Stack

Front-End Engineering 

• React for building complex, state-heavy interactive dashboards 
• JavaScript (ES6+) and TypeScript for type-safe management of simulation data 
• State management (Redux/Zustand) optimized for high-frequency data updates 

Back-End & Microservices 

• .Net and Spring Boot for building high-scale, resilient microservices 
• REST APIs for seamless communication between services and front-end consumers 
• Microservices architecture and system integration patterns 

Engineering Excellence 

• GitHub for version control and rigorous Code Reviews 
• CI/CD pipelines, Docker, and Kubernetes for cloud-native deployment 

Key Responsibilities 

• Low-Level Design (LLD): Convert high-level architectural blueprints into detailed technical designs, including class diagrams, sequence diagrams, and API specifications. 
• Technical Mentoring: Lead and coach the engineering team through pair programming, technical 1-on-1s, and hands-on guidance to elevate overall team competency. 
• Standards Enforcement: Ensure all code adheres to the defined engineering standards, SOLID principles, and design patterns established by the Architects. 
• Code Quality & Review: Conduct comprehensive code reviews to maintain high quality, ensuring the team delivers clean, testable, and maintainable code. 
• Technical Anchoring: Serve as the "go-to" expert for the squad to resolve complex technical blockers and provide clarity on implementation details. 
• Hands-on Development: Direct implementation of critical and complex modules, setting the benchmark for performance and reliability. 
• System Integration: Oversee the technical execution of integrations between full-stack applications and core data layers (Databricks/Neo4j). 
• Delivery Governance: Ensure the squad meets sprint objectives by maintaining a high standard of execution and managing technical debt effectively. 

Preferred Qualifications 

• 8 to 10 years of professional experience in full-stack software development. 
• Proven track record in a Tech Lead capacity, with strong experience in creating Low-Level Designs. 
• Expert-level proficiency in .Net, Spring Boot, and React. 
• Deep understanding of Microservices architecture and RESTful API design. 
• Demonstrated ability to mentor engineering teams and drive technical excellence in an Agile environment. 
• Experience working in the India tech region, preferably within high-growth product engineering teams. 

Highly Desirable 

• Experience building platforms for Digital Twin, IoT, or Simulation environments. 
• Familiarity with visualizing complex networks or real-time operational data. 
• Knowledge of performance tuning for both front-end rendering and back-end processing. 
• Experience leading teams in an Agile/Scrum environment. 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus. 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

The Store Manager is responsible for overseeing daily operations of the apparel store, ensuring excellent customer service and sales performance. They manage staff, maintain inventory levels, and ensure visual merchandising aligns with brand standards. The role includes analyzing sales data and implementing strategies to meet targets. Strong leadership and communication skills are essential. Experience in fashion retail is preferred.

Job Responsibilities

✓ Perform the role of Technical Lead on assigned projects to drive solution design (especially backend) and API services development.

✓ Be the thought leader and champion for above mentioned technologies.

✓ Drive technical analysis for new projects including planning and driving proof-of-concepts, if needed.

✓ Drive tasks related to backend development by providing architectural and technical leadership to mid-tier and database developers.

✓ Conduct peer reviews as the lead into Git to confirmed that developed code meets acceptable standards and guidelines.

✓ Work closely with the rest of the leads, mid-tier development, front-end developers, database developers, etc. to ensure end-to-end integrity of the solution being developed.

✓ Work closely with the rest of the tech leads and senior engineering leadership team to ensure reuse where applicable to increase productivity and throughput.

✓ Conduct technical interview to staff open positions in the backend team.

✓ Delegate work and assignments to team members

✓ Collaborate with their team to identify and fix technical problems

✓ Analyze users' needs and then finding applications to serve them

✓ Drive assigned tasks related to SOC 2 certification and ensure compliance to defined controls for areas under lead’s purview.

✓ Guiding their team through technical issues and challenges

✓ Prepare Technical design documents which would help the team to understand the technical flow

✓ Active participation in customer calls especially discussions related to Technical/Architectural and provide inputs.

Required Experience: 

✓ Backend Lead around 14 years of experience

✓ Server less Computing Architecture

✓ NodeJS, MySQL, Jenkins, Python, GitLab Technologies

✓ Good knowledge of AWS Cloud

✓ Full cycle AWS implementation experience

✓ Project experience in development and maintenance support for AWS web service and Cloudbased implementations

✓ Experience leading teams of up to 10 + professionals

Ability to manage multiple tasks and projects in a fast-moving environment 

Educational Qualifications: 

Engineering graduate or B. Tech/MCA with relevant major subjects like Computer Science

Hi All,

Greetings from LMV Group

We are hiring for a Frontend developer position.

Experience required - 1.5 to 6 years

Skill set required - React js, Html, Material UI, CSS, JavaScript

Location - somajjiguda, Hyderabad

JavaScript, jQuery, Angular or node, HTML, CSS, API consumption, DB knowledge, building responsive web apps. 

We are looking for a digital marketing intern eager to learn the ins and outs of marketing online, from strategy to execution. Interns will work with the digital and field marketing team to learn how marketing works across spaces and assist in the day to day digital marketing activities of INKPROG applications.

Responsibilities include: 

1. Create SEO strategies, techniques and tactics to improve the website's organic reach on all major search engines.
2. Modify website architecture, content, linking and other factors to improve SEO positions for target keywords.
3. Learn and execute SEM strategies and Internet marketing methods like pay per click advertising and paid directories.
4. Monitor and mitigate website's performance with the help of analytics tools and digital measurement methods.
5. Learn and implement social media campaigns (Facebook, Twitter, Instagram, etc.) and digital campaigns using Google AdWords.
6. Work with graphics and content team for ads, creative and artwork for PPC campaigns.
7. Generate and share content daily that builds meaningful connections.
8. Setting up and optimizing company pages within each social media platform
9. Continuously improve by capturing and analyzing the appropriate social data/ metrics, insights and best practices, and then acting on the information.
10. Analyze Past Content to Improve Posts
11. Optimize Visual Content
12. Target Website Visitors with Social Ads
13. Create a Social Media Channel Plan

Greetings from SMARK Info Solutions!!

We are writing to you from SMARK Info Solutions we are a young company with a technically capable, entrepreneurial, and sophisticated team.

We are reaching out to you for Full-stack Senior Software Engineer (SSE) opportunity with one of our client here in Hyderabad.

The Role

The Full-stack Senior Software Engineer (SSE) in this role will support development and design teams to build scalable web applications and products.

Responsibilities include (but are not limited to):

Support delivery of software components including design and writing/reviewing code

Work within and across Agile to design, develop, test, and implement technical solutions across a full-stack of development tools and technologies

The Candidate

The ideal Full-stack Senior Software Engineer has strong coding skills, has a solid design aesthetic and is determined to create great user experiences.

Key Requirements and Qualifications:

• 3-9 years of professional experience with designing, implementing, deploying, and maintaining front end web applications and related backend services
• Must have worked on Java Spring & Hibernate Framework with strong experience in JavaScript/ Angular-JS, Core Java, J2EE and other related technologies
• Knowledge of Web Service implementation (Restful and SOAP)
• Hands on experience in OOAD and Design Patterns
• Knowledge of Data Structures and Algorithm
• Front-end experience with Angular, JavaScript, HTML, CSS, JQuery, Type Script, ES6
• Experience in JS frameworks (Angular/AngularJS,) and willingness/ability to learn new frameworks if required
• Knowledge of professional software engineering practices and best practices
• Strong communication, organization and project management skills.