11+ Desktop administration Jobs in Hyderabad | Desktop administration Job openings in Hyderabad

A Desktop Support Engineer is responsible for providing technical support and assistance to end-users in an organization. This role involves troubleshooting hardware and software issues, ensuring that desktop systems are functioning efficiently, and maintaining a high level of customer satisfaction. 

Key Responsibilities:

- Respond to user inquiries and provide technical support via phone, email, or in-person.

- Diagnose and resolve hardware and software problems, including operating systems, applications, and network connectivity issues.

- Install, configure, and upgrade desktop hardware and software, ensuring compliance with company standards.

- Maintain inventory of desktop equipment and software licenses, ensuring proper documentation and tracking.

- Collaborate with IT teams to implement new technologies and improve existing systems.

- Provide training and support to users on new software applications and tools.

- Assist in the setup and deployment of new workstations and peripherals.

- Monitor and maintain system performance, applying updates and patches as necessary.

- Document technical procedures and solutions for future reference.

Qualifications:

- Bachelor’s degree in computer science, information technology, or a related field, or equivalent experience.

- Proven experience in a desktop support role or similar technical support position.

- Strong knowledge of Windows and macOS operating systems, as well as common software applications.

- Familiarity with networking concepts and troubleshooting techniques.

- Excellent problem-solving skills and the ability to work under pressure.

- Strong communication skills, both verbal and written, with a customer-focused attitude.

- Relevant certifications (e.g., CompTIA A+, Microsoft Certified Desktop Support Technician) are a plus.

This role is essential for maintaining the productivity of employees by ensuring that their desktop environments are operational and efficient. A successful Desktop Support Engineer will be proactive, detail-oriented, and able to work independently as well as part of a team.

1. Azure Integration Developer (Azure Functions, Azure LogicApp, Azure APIM)
   
   

Job Responsibilities:

• Technically sound in Dot Net technology. Good working knowledge & experience in Web API and SQL Server
• Should be able to carry out requirement analysis, design, coding unit testing and support to fix defects reported during QA, UAT phases and at GO Live times.
• Able to work alone or as part of a team with minimal or no supervision from Delivery leads.
• Good experience required in Azure stack of integration technology-Logic app, Azure Function, APIM and Application insights.

Must have skill

• Strong Web API development using ASP.Net Core, Logic app, azure functions, APIM

• Azure Functions
• Azure Logic App
• Azure APIM
• Azure ServiceBus

Desirable Skills

• Azure Event Grid/Hub
• Azure KeyVault
• Azure SQL – Knowledge on SQL query

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

• 5+ years of hands-on ServiceNow development experience.
• 3+ years of dedicated, in-depth experience implementing, configuring, and customizing the ServiceNow SPM/ITBM suite.
• Technical Certifications:
• Must-Have: ServiceNow Certified Implementation Specialist – Project Portfolio Management (CIS-PPM).
• Strongly Required: ServiceNow Certified Application Developer (CAD).
• SPM Module Expertise (Hands-On):
• Demonstrated mastery of the PPM suite (Demand, Project, Portfolio, Resource Management).
• Proven experience with Application Portfolio Management (APM).
• Solid understanding and configuration experience with Agile Development 2.0 and its integration points.
• Platform Skills:
• Expert proficiency in ServiceNow scripting (both client-side and server-side).
• Strong knowledge of the ServiceNow platform architecture, including the Common Service Data Model (CSDM).
• Experience building and consuming REST/SOAP web services.
• Analytical Skills:
• Excellent problem-solving skills with the ability to analyze complex business requirements and translate them into technical designs.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with both technical teams and business leaders.

Preferred Qualifications:

• BS degree in Computer Science or Engineering or equivalent experience

Roles & Responsibilities

Roles and Responsibilities:

• SPM Module Implementation: Lead the design, configuration, development, and implementation of core SPM applications, including:
• Project Portfolio Management (PPM): Including Ideation, Demand, Project, Program, and Portfolio modules.
• Application Portfolio Management (APM): For application inventory, rationalization, and technology portfolio management.
• Agile Development 2.0: Configure and manage stories, epics, themes, and sprints, ensuring seamless integration with PPM.
• Resource Management: Develop and configure solutions for capacity planning, resource allocation, and time management.
• Financial Management: Assist in configuring cost models, budgets, and financial reporting related to projects and portfolios.
• Custom Development & Platform Expertise:
• Develop high-quality, scalable, and maintainable custom solutions using ServiceNow platform capabilities, including Business Rules, Client Scripts, UI Actions, UI Policies, and Flow Designer/Workflows.
• Utilize advanced scripting skills in JavaScript, Glide APIs (GlideRecord, GlideAjax), and HTML/CSS to deliver custom functionality.
• Serve as the technical SME for the SPM module, providing guidance on best practices and platform limitations.
• Integrations:
• Design and implement integrations between ServiceNow SPM and other enterprise systems (e.g., Jira, Azure DevOps, financial systems) using IntegrationHub, REST, and SOAP APIs.
• Stakeholder Collaboration & Support:
• Collaborate with business analysts and stakeholders to gather requirements, create technical designs, and deliver solutions that meet business needs.
• Provide advanced support for SPM applications, troubleshoot complex issues, and perform root cause analysis.
• Reporting and Analytics:
• Create sophisticated reports, Performance Analytics dashboards, and custom visualizations to provide stakeholders with actionable insights into portfolio health, project status, and resource utilization.
• Governance and Maintenance:
• Manage application upgrades, patching, and release cycles for the SPM suite.
• Ensure adherence to coding standards, development best practices, and effective use of update sets for deployments.

Key Responsibilities:

• Design low level specification for the feature/module in consultation with product architect(s).

• Closely work with product managers/owners, architect(s) to understand the business requirements and code optimally.

• Propose and implement different algorithms in software code for high performing, high throughput, and low latency product features.

• Should be able build, make enhancements and maintain existing native web application user interface based on NodeJS, JavaScript or TypeScript, Angular, React, and Next/Vue.

• Develop and maintain generic solutions and utilities that can be integrated into any product.

• Integrate intelligent product performance indicators into the product to periodically monitor and take preemptive actions.

Key skills and experience required for the job:

• Technology: OOAD, Java/J2EE, Data Structures and Algorithms, Design Patterns, Spring Boot, Microservices/Cloud Native architecture, Cloud Foundry, Docker, K8S, RDBMS, SQL, NoSQL, Redis/HazleCast, jUnit, Mockito, Rabbit MQ, JMS, Apache Camel, KAFKA, WebSocket messaging, gRPC, GraphQL, Angular/React/Vue.js

• Source Control: Git, GitLab, GitHub etc.

• Design: UML, ArchiMate, EA Sparx, MS Visio, Lucid Chart, Figma

• DevSecOps: GitHub Workflows, Helm, Jenkins, CloudBees Flow, uDeploy, Nexus Repo, Site Reliability etc.

• Cloud Technologies: MS Azure, AKS, Azure Event Hub/Grid, Azure Storage, GCP, PCF, AKAMAI, APIGEE or equivalent.

• Code Quality: Sonar, MF Fortify, SAST, DAST

• Process: Safe Agile, DevOps, TDD and BDD

• Experience: 6 – 10 Years of software product development using Java/J2EE along with a minimum of 2 years of web user interface development using any TypeScript framework.

• Education: Bachelors/master’s in engineering or equivalent.

• Soft Skills: Communication, Analytical thinking, Problem Solving, Judgement & Decision Making, Planning & Organizing and Teamwork

Nice to have skills for the job:

• APM : Knowledge of AppDynamics, Grafana, Dynatrace, Splunk, Elk

We are looking for a "Customer care Executive" to join our team. 

Preferred: Female

Preferred languages: English, Hindi, Telugu

Roles and responsibilities : 

1.  Manage incoming phone calls.

2. Handle customer complaints, and provide appropriate solutions.

3.  Keep records of customer interactions, and process customer accounts.

4. Excellent communication and presentation skills.

5. Ability to multi-task, prioritize, and manage time effectively.

6. Maintaining a pleasant working environment for your team.

Interested can to reach to contact number/Email in between 11:00 am - 06:00 pm (Mon-Sat)

Regards

Deborah(HR)

USM Infrastructure Pvt Ltd

Jubilee Hills, Road no 10

• Amazon & Flipkart, managing FBA inventories on affiliate platforms and reviews across platforms, managing the brand store on Amazon, maintaining price parity across platforms, coordinating with the in-house logistics teams & ensuring the stock availability in Amazon & Flipkart warehouses to avoid sale loss due to stockouts.                                                                                           

Requirement                     

• Should have exposure of working on D2C (Direct to Consumer)/B2C (Business to Consumer) brands E-commerce websites                                                                   

Skills required    

• prior experience of setting up analytics function from end to end would be desirable, skilled in SQL & data visualization,6+ years of experience in analytics function is desirable,
• Excellent communication skills,
• Calm under pressure; you have a sense of urgency but channel it into productively working through any issues