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

Role: SAP EAM Mobility Consultant / Lead

Experience: 6+ Years

Required Skills & Keywords:

SAP EAM / PM, SAP Mobility, Enterprise Asset Management

Managing Technical Objects: Equipment, Functional Locations, BOMs, Installed Base

Work Order Management, Notifications, Preventive Maintenance

Task Lists, Maintenance Items, Maintenance Plans

Measurement Points, Warranties, Serial Numbers

Capacity Requirements Planning, Work Clearance Management

Workflow in SAP EAM & PM, Standard Reports

Functional Specifications, TDD, Unit Testing, Integration Testing

SAP Support Projects, User Support, Incident & Escalation Management

Client Interaction, Status Reporting, Onsite–Offshore Coordination

Exposure to ASAP, ITIL, Solution Manager\

Preferred:

SAP PM Certification | ITIL 4 Foundation

Basic ABAP knowledge

#SAPEAM #SAPPM #SAPMobility #SAPConsultant #EnterpriseAssetManagement

#PreventiveMaintenance #WorkOrderManagement #SAPJobs #HiringNow #Hyderabad #Bengaluru

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

Role & Responsibilities

drives large-scale data modernization and AI readiness for global enterprises. We are looking for an experienced Data Modeler to design, standardize, and maintain enterprise data models across our modernization initiatives — ensuring consistency, quality, and business alignment across cloud data platforms.

The person will be responsible for translating business requirements and data flows into robust conceptual, logical, and physical data models across multiple domains (Customer, Product, Finance, Supply Chain, etc.). You will work closely with Data Architects, Engineers, and Governance teams to ensure data is structured, traceable, and optimized for analytics and interoperability across platforms like Snowflake, Dremio, and Databricks.

Key Responsibilities-

• Develop conceptual, logical, and physical data models aligned with enterprise architecture standards.
• Engage with Business Stakeholders: Collaborate with business teams, business analysts and SMEs to understand business processes, data lifecycles, and key metrics that drive value and outcomes.
• Value Chain Understanding: Analyze end-to-end customer and product value chains to identify critical data entities, relationships, and dependencies that should be represented in the data model.
• Conceptual and Logical Modeling: Translate business concepts and data requirements into conceptual and logical data models that capture enterprise semantics and support analytical and operational needs.
• Physical Data Modeling: Design and implement physical data models optimized for performance and scalability
• Semantic Layer Design: Create semantic models that enable business access to data via BI tools and data discovery platforms.
• Data Standards and Governance: Ensure models comply with enterprise data standards, naming conventions, lineage tracking, and governance practices.
• Implement naming conventions, data standards, and metadata definitions across all models.
• Collaboration with Data Engineering: Work closely with data engineers to align data pipelines with the logical and physical models, ensuring consistency and accuracy from ingestion to consumption.
• Manage version control, lineage tracking, and change documentation for models.
• Participate in data quality and governance initiatives to ensure trusted and consistent data definitions across domains.
• Create and maintain a business glossary in collaboration with the governance team.

Ideal Candidate

• Strong Enterprise Data Modeller profile (Modern Data Platforms)
• Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms
• Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools
• Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.
• Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.
• Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams
• Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
• Preferred (Experience 1) – Should have familiarity with data governance, metadata management, lineage, and business glossary tools such as Collibra, Alation, or Microsoft Purview.
• Preferred (Experience 2) – Exposure to data integration pipelines and ETL frameworks such as Informatica, DBT, Airflow, or similar tools.
• Preferred (Data Management) – Understanding of master data management (MDM) and reference data management principles.
• Preferred (Domain) – Experience working with high-tech or manufacturing data domains, including customer, product, or supply chain data models

We are looking for a full-time DevOps Engineer to support and advance application delivery, infrastructure, and operational excellence initiatives. This role enables secure, reliable, and scalable releases across Clarity portals, integrations, and internal platforms, supporting modernization and consolidation efforts within the Microsoft ecosystem.

Job Responsibilities:

DevOps, CI/CD G Release Management :

• Design, build, and maintain CI/CD pipelines using Azure DevOps.
• Own and improve the release management process in partnership with engineering leadership.
• Standardize branching strategies, build definitions, and deployment patterns.
• Support controlled releases with approvals, rollback strategies, and audit trails.

SharePoint G DevOps Integrations

• Integrate SharePoint-based solutions with Azure DevOps pipelines and workflows.
• Align SharePoint customization and deployment practices with DevOps standards.
• Enable traceability between development work items, documentation, and releases.

Infrastructure G Linux Deployments

• Support and manage Linux server deployments.
• Automate infrastructure provisioning using Infrastructure as Code.
• Ensure secure, stable, and scalable environments across all stages.

Incident Management G Operational Support

• Collaborate with development teams and non-technical stakeholders during incidents.
• Communicate status, impact, and resolution clearly to leadership.
• Participate in root cause analysis and preventive improvements.

Security, Compliance G Governance

• Embed security and compliance controls into pipelines.
• Support HIPAA and benefits data protection requirements.
• Maintain documentation and audit readiness.

Required Skills:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 5+ years in DevOps or Infrastructure Engineering.
• Strong experience with Azure DevOps.
• Experience integrating SharePoint with DevOps workflows.
• Hands-on experience with Linux server deployments.
• Experience working in regulated or compliance-driven environments.

Role : Senior Technical Recruiter - US Market

Location : Hyderabad(Onsite)

Shift : 7:00 PM to 4:00 AM(IST)

Full-time

Role Overview :

We are looking for an experienced Senior Technical Recruiter with proven leadership capabilities and deep expertise in the US staffing market. The ideal candidate will have a strong background hiring for AI, Product-based, and SaaS organizations, along with the ability to mentor recruiters, drive hiring strategy, and partner closely with stakeholders to deliver high-quality talent at scale.

Key Responsibilities :

• Lead end-to-end recruitment for complex technical roles across AI, Product, and SaaS domains in the US market
• Partner with hiring managers, engineering leaders, and business stakeholders to understand hiring needs and workforce planning
• Drive hiring strategy, market intelligence, and talent mapping for niche and high-demand skill sets
• Mentor, guide, and review the work of junior recruiters to improve quality, speed, and candidate experience
• Manage the full recruitment lifecycle: sourcing, screening, interviewing, offer negotiation, and onboarding support
• Utilize advanced sourcing techniques (LinkedIn, Boolean, job boards, referrals, ATS, talent pools)
• Ensure compliance with US staffing regulations, hiring practices, and documentation standards
• Build and maintain strong pipelines for roles including Software Engineering, AI/ML, Data, Product, Cloud, DevOps, and Architecture
• Track and report recruitment metrics (time-to-hire, conversion ratios, quality of hire)
• Strengthen employer branding and candidate engagement for US-based clients and roles

Required Experience & Skills :

• 5+ years of experience in US Technical Recruitment / US Staffing
• Strong hiring exposure in AI, Product-based, and SaaS organizations
• Hands-on experience recruiting for complex technical roles across multiple tech stacks
• Proven leadership or mentoring experience within a recruitment team
• Excellent understanding of the US recruitment lifecycle, time zones, and client expectations
• Expertise in Boolean search, LinkedIn Recruiter, ATS tools, and sourcing platforms
• Strong stakeholder management, communication, and negotiation skills
• Ability to work in a fast-paced, high-volume, high-quality hiring environment

Preferred Qualifications :

• Experience working with product companies, startups, or global SaaS firms
• Prior experience managing or scaling recruitment teams
• Exposure to diversity hiring initiatives in the US market
• Excellent analytical and reporting skills

AI-Native Software Developer Intern

Build real AI agents used daily across the company

We’re looking for a high-agency, AI-native software developer intern to help us build internal AI agents that improve productivity across our entire company (80–100 people using them daily).

You will ship real systems, used by real teams, with real impact.

If you’ve never built anything outside coursework, this role is probably not a fit.

What You’ll Work On

You will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.

Examples of problems you may tackle:

Internal AI agents for:

• Knowledge retrieval across Notion / docs / Slack
• Automated report generation
• Customer support assistance
• Process automation (ops, hiring, onboarding, etc.)
• Decision-support copilots
• Prompt engineering + structured outputs + tool-using agents

Building workflows using:

• LLM APIs
• Vector databases
• Agent frameworks
• Internal dashboards
• Improving reliability, latency, cost, and usability of AI systems
• Designing real UX around AI tools (not just scripts)

You will own features end-to-end:

• Problem understanding
• Solution design
• Implementation
• Testing
• Deployment
• Iteration based on user feedback

What We Expect From You

You must:

• Be AI-native: you actively use tools like:
• ChatGPT / Claude / Cursor / Copilot
• AI for debugging, scaffolding, refactoring
• Prompt iteration
• Rapid prototyping
• Be comfortable with at least one programming language (Python, TypeScript, JS, etc.)
• Have strong critical thinking
• You question requirements
• You think about edge cases
• You optimize systems, not just make them “work”
• Be high agency
• You don’t wait for step-by-step instructions
• You proactively propose solutions
• You take ownership of outcomes
• Be able to learn fast on the job

Help will be provided but you will not be spoonfed.

Absolute Requirement (Non-Negotiable)

If you have not built any side projects with a visible output, you will most likely be rejected.

We expect at least one of:

• A deployed web app
• A GitHub repo with meaningful commits
• A working AI tool
• A live demo link
• A product you built and shipped
• An agent, automation, bot, or workflow you created

Bonus Points (Strong Signals)

These are not required but will strongly differentiate you:

• Built projects using:
• LLM APIs (OpenAI, Anthropic, etc.)
• LangChain / LlamaIndex / custom agent frameworks
• Vector DBs like Pinecone, Weaviate, FAISS
• RAG systems
• Experience deploying:
• Vercel, Fly.io, Render, AWS, etc.
• Built internal tools for a team before
• Strong product intuition (you care about UX, not just code)
• Experience automating your own workflows using scripts or AI

What You’ll Gain

You will get:

• Real experience building AI agents used daily
• Ownership over production systems
• Deep exposure to:
• AI architecture
• Product thinking
• Iterative engineering
• Tradeoffs (cost vs latency vs accuracy)
• A portfolio that actually means something in 2026
• A strong shot at long-term roles based on performance

If you perform well, you won’t leave with a certificate, you'll leave with real-world building experience.

Who This Is Perfect For

• People who already build things for fun
• People who automate their own life with scripts/tools
• People who learn by shipping
• People who prefer responsibility over structure
• People who are excited by ambiguity

Who This Is Not For

Be honest with yourself:

• If you need step-by-step instructions
• If you avoid open-ended problems
• If you’ve never built anything outside assignments
• If you dislike using AI tools while coding

This will be frustrating for you.

How To Apply

Send:

• Your GitHub
• Links to projects (deployed preferred)
• A short note explaining:
• What you built
• Why you built it
• What you’d improve if you had more time

Strong portfolios beat strong resumes.

At Prolifics, we are currently implementing multiple solutions on Tosca Automation and we are looking to hire talented Tosca Architect for our development centre in India. This position would be based out of location and is a permanent position.

If you are looking for a high growth company with rock-solid stability, if you thrive in the energetic atmosphere of high profile projects, we want to talk to you today! Let’s connect and explore possibilities of having you onboard the Prolifics team!

Job Title: Performance Test Manager

Location: Hyderabad

Educational Qualification: B.Tech/BE/M.Tech/MCA/M.Sc

• Good Communications Skills
• Minimum 10 years of experience in Performance testing
• Strong Experience in Load Testing
• Experience in Neoload
• Experience in Performance Monitoring tools
• Strong experience in designing load testing strategies and leading the activities from planning, preparation, execution and reporting phases
• Knowledge on Application Performance Monitoring tools Experience in working with middleware protocols like Web services (XML, JSON), MQ and technologies involving microservices architecture.

About us:

Prolifics Corporation Limited is a Global Technology Solutions Provider with presence across North America (USA and Canada), Europe (UK and Germany), Middle East & Asia. In India, we have off shore development centers: 3 in Hyderabad & 1 in Pune. For more than 40 years, Prolifics has transformed enterprises of all sizes including over 100 Fortune 1000 companies by solving their complex IT challenges. Our clients include Fortune 50 and Fortune 100 companies across a broad range of industries including Financial Services, Insurance, Government, Healthcare, Telecommunications, Manufacturing and Retail. We rank consistently in Dream Companies to Work For and Dream Employer of the Year ranking from World HRD Congress, ranked 7 in 2019. We encourage you to visit us on www.prolifics.com or follow us on Twitter,LinkedIn, Facebook, YouTube and other social media to know more about us.

Salesforce developer
Exp: 7-9Years

Location: Noida & Hyderabad

• Expertise and industry experience working with Salesforce (Lightning web components (LWC), Apex, SOQL, SOSL, Rest/SOAP/GraphQL Integration)

• Salesforce Admin, Platform Developer 1 / Platform Developer 2 and Salesforce Service Cloud Certification