11+ Red Hat Enterprise Linux Jobs in Hyderabad | Red Hat Enterprise Linux Job openings in Hyderabad

1. Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
2. Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
3. Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
4. Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
5. Analytics and analysis of data and provide insights and recommendations
6. Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
7. Work with the product team in developing new features, identifying solution gaps, etc.​
8. Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.​

1. At least 2+ years of experience in IT Infrastructure Management
2. Experience in working with large-scale IT infra, including applications, databases, and networks.​
3. Experience in working with monitoring tools, automation tools
4. Hands-on experience in Linux and scripting.
5. Knowledge/Experience in the following technologies will be an added plus:​ ​ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.

Role: FPGA Design & Validation Engineer

Location: Kokapet, Hyderabad

Work Mode: Work from Office – 5 days/week

Key Requirements

• 5+ years of relevant experience in FPGA Design and Validation
• Hands-on experience validating FPGA designs on physical boards
• Experience with board-level debugging and hardware bring-up
• Hands-on experience using Oscilloscopes for hardware/debugging activities
• Experience with TCL scripting
• Good understanding of Lint and CDC (Clock Domain Crossing)
• Experience with Spirent or other traffic generator tools is an added advantage
• Knowledge of AI Agents and Prompt Engineering is a plus

The ideal candidate would have a combination of FPGA design, board-level validation, hardware debugging and lab testing experience.

Role Summary

We are looking for a seasoned Full Stack Developer with strong backend expertise in PHP (Laravel/Symfony) and modern frontend experience using React (Vue.js or Angular exposure is a plus). The ideal candidate should possess a full-stack mindset with experience in building scalable REST APIs and interactive UI applications.

Key Responsibilities

• End-to-end feature development (Backend + Frontend)
• Design and develop scalable, secure, and maintainable applications
• Build and optimize REST APIs and reusable UI components
• Participate in technical design discussions and code reviews
• Mentor junior developers and ensure coding best practices
• Collaborate with QA, DevOps, and Architects
• Focus on performance tuning and security enhancements

Must-Have Skills

• Strong hands-on experience in PHP (Laravel/Symfony)
• Experience building and consuming REST APIs
• Expertise in React.js (Vue.js/Angular acceptable)
• Strong knowledge of JavaScript/TypeScript
• Solid understanding of HTML5, CSS3
• Experience with scalable and maintainable application architecture

Nice-to-Have Skills

• Full-stack exposure with Node.js
• Experience with MongoDB / NoSQL databases
• Familiarity with Docker, CI/CD pipelines, Cloud platforms
• Knowledge of HCM and Payroll domain

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

Preferred qualifications:

• Master's degree in a technology or a business related field.
• Experience in designing AI interfaces that handle latency and failures gracefully, with preferred experience in HR product management.
• Ability to design quantitative frameworks that track real-time model performance, grounding accuracy, system degradation, and hallucination rates.
• Ability to lead complex, ambiguous technical initiatives and aligning high-profile, cross-functional teams toward shared goals.
• Deep technical fluency in generative AI mechanics.

About the job

We put our users first. The world is constantly evolving, and we're looking for Product Managers who are adaptable, innovative, and excited to build products that impact millions of people every day.

In this role, you'll work cross-functionally to guide products from conception to launch, bridging the technical and business worlds. You'll break down complex problems into actionable steps that drive product development.

Our Product Management team partners closely with engineers, designers, marketers, and other cross-functional teams to build innovative, world-class products. You'll lead products through the entire execution lifecycle, from strategy and planning to positioning, launch, and continuous improvement, ensuring our solutions deliver exceptional value to users.

The People Operations (POps) Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging data and Artificial Intelligence/Machine Learning (AI/ML), the team optimises HR processes, enhances employee experiences, and drives organisational efficiency.

In this role, you'll help shape, define, and deliver AI-powered agentic products that transform HR operations and improve the employee experience. As part of the Corporate Engineering organisation, you'll build scalable business solutions, delivering the tools, platforms, and experiences that enable employees worldwide to work more effectively and create impactful products and services.

Responsibilities

• Define the multi-year AI-native product goal and technical strategy, mapping rapidly evolving foundational models to consumer breakthroughs that achieve sustainable product-market fit.
• Write comprehensive Product Requirements Documents (PRDs) accounting for non-deterministic software behavior, establishing explicit guidelines for system instructions, fine-tuning, Retrieval-Augmented Generation (RAG) ingestion pipelines, and safety classifiers.
• Partner with researchers and infrastructure engineers to co-design model requirements, optimizing latency, context windows, compute budgets, and token utilization.
• Pioneer innovative frameworks for multi-agent execution, asynchronous system tracking, and human-in-the-loop validation to deliver contextual, ambient, and non-chatbot intelligence.
• Implement robust Large Language Models (LLM) evaluation systems tracking factual alignment while leading cross-functional alignment with Trust, Safety, Legal, and global Policy teams.

 Key Responsibilities

• Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
• Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
• Perform data wrangling, cleansing, and transformation using Python and SQL
• Collaborate with data scientists to integrate Generative AI models into analytics workflows
• Build dashboards and reports to visualize insights using tools like Power BI or Tableau
• Ensure data quality, governance, and security across all data assets
• Optimize performance of data pipelines and troubleshoot bottlenecks
• Work closely with stakeholders to understand data requirements and deliver actionable insights

🧪 Required Skills

Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker

📚 Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• 3+ years of experience in data engineering or data analytics
• Hands-on experience with Databricks, PySpark, and AWS
• Familiarity with Generative AI tools and frameworks is a strong plus
• Strong problem-solving and communication skills

🌟 Preferred Traits

• Analytical mindset with attention to detail
• Passion for data and emerging technologies
• Ability to work independently and in cross-functional teams
• Eagerness to learn and adapt in a fast-paced environment

Exp. Level: 5+ Yrs

Proven experience as a. NET Developer

Familiarity with the ASP. NET core framework, SQL Server, Web API, and Microservices

Understanding of Agile methodologies

Excellent troubleshooting and communication skills

Required Skills: ASP. Net Core Web API, and React Js

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ID: linkedin.com/in/ranjini-c-n-36b674131

• Over +7 years of professional experience in analyzing, designing, developing and deploying client server web applications using .NET Core, C#, ASP.NET MVC and WEB API.

• Responsible for lead, develop and maintain .NET Core web applications and coordinate with other developers to maintain efficient, reusable, and reliable coding standards.

• Experience in writing .NET Core Web API using JWT tokens with a deep understanding of how to streamline data payloads for mobile and low bandwidth devices.

• Worked on .NET design patterns such as MVC including Dependency Injection (DI), and any custom/hybrid framework as designed by the Architects.

• Proficient developing real-time project, modern UI technology experience in Blazor (Web Assembly / Server) using with Dapper and MudBlazor.

• Extensive experience in conceptual data modeling, build out database design and schema, performing SQL query optimization and stored procedures using Microsoft SQL Server.

• Hands on experience in creating, deploying and managing reports using Crystal Reports. Participate in unit test and integration testing. Familiarity with Agile (Scrum) methodologies.

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler

Wanted Experienced Dot Net Developers
Experienced candidates with the following skill ASP.NET 4.0, Ajax, WCF, MVC, WebAPI, ASP.NET Core API, JQuery, Windows Services and SQL Server 2008 and above.

1.5 - 5 Years

UG - Any Graduate
PG - Any PG Course

Hyderabad

1. 1.5+ Years of experience in .Net, ASP.Net and C#, WCF/API and REST services.
2. Should be able to write clean and good scalable code.
3. Hands on experience with CSS, JavaScript and jQuery
4. Strong knowledge in OOPS concepts.
5. Knowledge of T SQL with SQL server 2008 R2/2012 including Stored Procedures, Triggers & User Defined Functions.
6. Good to have CSS3 and HTML5 knowledge.
7. Good analytical and communication skills are required.
8. Preference will be given to the candidates who can do client interaction.