11+ SAP BADI Jobs in Chennai | SAP BADI Job openings in Chennai

Job Description

SAP HR Technical Lead support Consultant will analyze and propose technical solutions for

Production issues raised as incidents and work towards closure. Work closely with Technical Team

and Functional Consultants. Provide effort estimation for any break fixes that are needed,

feasibility study, unit testing, technical review, and mentor/guide the technical team.

Essential Functions:

• Must be able to work on rotational shifts.

• Must have experience on 2-3 SAP Payroll implementations

• SAP HR ABAP development or support experience. Must have experience and expert knowledge

of ABAP development objects including Dialog programming, User-exits, BADIs, Smart Forms

and/or Adobe Forms, ALV, BAPIs, RFCs, and other SAP development tools.

• Must have worked on payroll implementation projects.

• Must have good experience in SAP HR ABAP and SAP UI5/Fiori applications using SAP Web IDE.

• Must have hands-on experience and technical proficiency in Object Oriented ABAP (OOPs) with

expertise in WRICEF development.

• Must have strong ABAP debugging skills

• Manage the support team of Functional associates, Technical associates and Scrum masters

focused on delivering and maintaining products for the Human resources domain.

• Work with solution architects and help define business processes and system architecture

• Support the team in ensuring that the Incidents, production bugs are resolved within the given

SLA

• Ensure that RCA is done and the systems (HRO/payroll) are stabilized

• Ensure compliance with security practices/guidelines and relevant technology standards

• Experience and worked on HR Interfaces.

• Support experience in SAP and the cross-function relationship between modules for forms,

reports, interfaces, enhancements, BDC, LSMW, BADI, BAPI, workflow, and other development

work

• Strong knowledge and understanding of SAP Transport layers, IDOCs and interfaces and the

different kinds of Transport Request and SAP best practices in handling transports

• Understanding of all the key enhancements spots (BADIs and User Exits) and how to best

leverage them to meet customer-specific requirements with minimal risk

• Exemplary troubleshooting skills and ability to drive root cause analysis on incidents and

problems

• Must have good experience in HR ABAP Programming. Extensively worked on PA, OM, Time &

Payroll.

• Must have good experience in SAP ESS/MSS modules of HR and all submodules of HR with

specialization in Payroll. Also, worked on PCRs in HR.

• Must have good knowledge on configuring and customizing various HCM Modules i.e. Personnel

Administration, Organizational Management, Time Management, Payroll, ESS/MSS

Required Education and Experience:

• Bachelor’s Degree or equivalent experience

• 8-12 Years of SAP ABAP/HR ABAP experience

• Strong application support experience for a large client

Preferred Education and Experience:

• SAP payroll technical knowledge

• Excellent written and verbal communication skills

• Good logical and analytical skills

• Ability to work independently and guide the technical team

• Worked on ticket handling tool service now.

Additional Eligibility Qualifications: An ideal candidate will have a minimum of 2-3 SAP HCM

Payroll support projects and 8-12 years of experience as SAP HCM ABAP developer.

send cv to vinay.sharmaatcodersbrain.com

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Skills- .net, asp.net, SPFX, MVC, API, SQL, angular, javascript, jquery, devops, sharepoint, .net core, GitHub, agile, Angular JS, .net framework

Location: Chennai, Bangalore, Kochi, Coimbatore, Hyderbad

Requirement:

We are looking for dotnet developer with the skillset of

1. Dot Net. Sharepoint Online, SPFX (3-6yrs exp)
2. Dot Net. Sharepoint Online, SPFX, Knowledge Management, Power BI(6-9yrs exp)
3. Dot Net, SQL(3-6yrs exp)
4. Dotnet framework, Asp.Net, C#.Net, SQL Server(3-6yrs exp)
5. .net, SQL, Angular(3-6yrs exp)
6. MVC .net,.Net core,API & SQL Server,Angular,Agular JS(3-6yrs exp)
7. .Net, ASP .Net, MS SQL Server, Agile, GitHub, ADO(3-6yrs exp)
8. ASP.Net, javascript, J query(3-9yrs exp)
9. MVC.Net, SQL, Jquery, DevOps, GitHub(3-6yrs exp)

JOB PURPOSE

-------------

• Develop .NET Core applications using React JS reusable components as per need / client specifications
• This is a hands-on role which involves writing code, testing, and deploying finished web applications and libraries

MAJOR ACCOUNTABILITY

----------------------

• Design, rapid prototype, and implement a scalable, reliable and maintainable node based web application
• Enforce code quality through test driven development
• Enhance, refactor, and continuously improve the existing codebase
• Collaborate closely with team to define product requirements
• Aggressively collect, analyse, and act on data about product performance
• Communicate effectively with technical and non-technical people
• Proactive in keeping your skills updated

ESSENTIAL SKILLS & EXPERIENCE

-------------------------------

• Excellent working knowledge of .NET Core, React JS, JavaScript.
• 4-6 year's overall .NET development experience (At least 2 years of experience in React JS)
• Experience in working with databases - SQL and Non-SQL Databases
• Experience in any visualization JS libraries like D3 JS / Charts JS / Sync Fusion / Fusion Charts will be an added advantage.
• GraphQL
• Hooks 
• Redux / Flux 
• TypeScript 

EDUCATION

-----------

• Minimum education: Any Graduate BE / B.Tech would be desirable
• Languages: Excellent English written & spoken

6 - 12 years of professional experience with any of the below stacks:  

∙MERN stack: JavaScript - MongoDB - Express - ReactJS - Node,  

∙MEAN stack: JavaScript - MongoDB - Express - AngularJS - Node.js

Requirements:

∙Professional experience with JavaScript and associated web technologies (CSS, semantic HTML). 

∙Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment. 

∙Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions. 

∙Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems. 

∙Comfort working in a highly agile software development process. 

∙Positive and solution-oriented mindset. 

∙Experience owning a project from concept to production, including proposal, discussion, and execution. 

∙Strong sense of ownership with the eagerness to design and deliver significant and impactful technology solutions. 

∙Demonstrated ability to work closely with other parts of the organization.

• HIL testing with dSPACE, Software in loop validations
• Vector tools (CANape & CANalyzer)
• Service tools like ET, EST, EDT, and other tools including CADetWIN, CAT ET, Forcast, ESP.
• Knowledge and experience in protocols including J1939, CAN, CDL (Internal) and Ethernet
• Understanding and Hands-on experience with HIL hardware/harness
• Automation logics, Python, CCAT scripting, Simulators, Control and Automation desk

Experience, responsibilities, expectations from role:

• 3-4 years of Validation or Automation Experience.
• Ability to work in a product development organization with strong focus on Quality and delivery as per commitment to customers.
• Passion to delve into complex existing code, product modules and come up with the optimal solution for the problem at hand.
• Willingness to be flexible and stretch when there are critical needs within the organization.
• Excellent communication and team working skills which is expected among a global team set up.
• Develop the Test plans, validate the Features.
• Perform Regression, Mandatory & Change specific validation.
• Investigate and Support DSN team on the issues reported from the customers in the field.
• Able write the Python Scripts by looking into the Test plans.
• Acquaintance of CANape, CANalyzer Tools, MRET test setup’s

• 32-bit Microcontroller knowledge is essential (ARM Cortex based micro-controllers (STM32).
• Esp32 architecture knowledge is essential.
• Strong experience in C, C++, Free-RTOS
• Strong experience in CUBEMX IDE, MDK Version 5 – Keil, Arduino IDE environment
• Good knowledge in HW and communication protocols like CAN, SPI, UART, I2C, USB 
• Good knowledge in TFT Displays and Sensors is added advantage
• Good knowledge of implementation of motor controls as required, pulse width modulation schemes (PWM).
• Good knowledge of power electronics (TRIACs, MOSFETs, IGBTs, gate drivers) and require protections (Over/under voltage/current).
• Document firmware designs, specifications, test plans, revisions and produce test reports

SKILL AND EXPERIENCE REQUIRED:

• 2+ years of experience in Java skills.
• 2+ years of hands-on HTML5/CSS3 experience.
• Experience with popular JavaScript frameworks such as ReactJs or Angular 2.0; experience preferred.
• Experience of working with HTTP 1.1, and HTTP/2.
• Experience with RESTful APIs and JSON RPC.
• Ability to write clean, bug-free code that is easy to understand and easily maintainable.
• Experience following Git workflows.
• Working knowledge of DevOps tools (e.g., Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc.).

We are the largest online legal service providers in India. Our business is technology driven and our app is already servicing customers across India and abroad. We have offices in Chennai and Bangalore.

Our dev team comprises of seasoned and experienced developers along with Senior Resources for mentoring. We are looking forward to expand our team.

Job brief

Do you like writing mean and clean Ruby code? Come join our team and help us build amazing things.

We’re looking for someone with a passion for programming and for writing beautiful code.  You will join a team of exceptional developers working in a fast-paced environment to deliver world-class software.

Responsibilities

• Write clean, maintainable and efficient code.

• Design robust, scalable and secure features.

• Drive continuous adoption and integration of relevant new technologies into design.