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

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.

• • facilitate and maintain relationships between  organization and vendors/partners
  • negotiating contracts, creating standards for the vendors, and finding the best available vendors
  • Good stakeholder management and 3-4 years of experience working in a similar set up where they have handled the Contract hiring piece
  • Prior experience in MIS, tracking of profiles, sourcing candidates, scheduling
  • Exp in Vendor management, assessing vendor performance, clearing PO’s, empanelment of vendors and creating SOP’s.
  • Establishing the process (create a flow chart on process and circulate to all businesses)
  • Maintaining vendor database and keeping resumes ready skill wise.
•  

Job Title : Talent Acquisition Sourcers

Roles and responsibilities:

• Sourcing candidates from various job portals.
• Conducting the initial screening rounds.
• Scheduling interviews with candidates and panel members.
• Job Posting for Portals, Social Media and External Sources.
• Preparing the Resource tracker Weekly, Monthly, Quarterly MIS.
• Conducting the Weekend Recruitment Drives.
• Worked on PPT and various ways of presenting data as a story/theme.
• Have managed high volume of data and MIS in past.

Requirement:

• MBA (HR) / Graduate
• Experience 2-6yrs into sourcing candidates from Job portals & have spent 70% doing IT recruitment & 30% non-it
• Location : Bangalore, Delhi, Mumbai, Chennai
• Ability to articulate confidently
• Excellent communication skills (written & verbal)
• Strong analytical skills
• Contract period : 1year

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 

Analytics Job Description

We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will

partner closely with leaders across the organization, working together to understand the how

and why of people, team and company challenges, workflows and culture. The team is

responsible for delivering data and insights that drive decision-making, execution, and

investments for our product initiatives.

You will work cross-functionally with product, marketing, sales, engineering, finance, and our

customer-facing teams enabling them with data and narratives about the customer journey.

You’ll also work closely with other data teams, such as data engineering and product analytics,

to ensure we are creating a strong data culture at Blend that enables our cross-functional partners

to be more data-informed.

Role : DataEngineer 

Please find below the JD for the DataEngineer Role..

  Location: Guindy,Chennai

How you’ll contribute:

• Develop objectives and metrics, ensure priorities are data-driven, and balance short-

term and long-term goals

• Develop deep analytical insights to inform and influence product roadmaps and

business decisions and help improve the consumer experience

• Work closely with GTM and supporting operations teams to author and develop core

data sets that empower analyses

• Deeply understand the business and proactively spot risks and opportunities

• Develop dashboards and define metrics that drive key business decisions

• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,

and Workato

• Design our Analytics and Business Intelligence architecture, assessing and

implementing new technologies that fitting

• Work with our engineering teams to continually make our data pipelines and tooling

more resilient

Who you are:

• Bachelor’s degree or equivalent required from an accredited institution with a

quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist

• Must have strong SQL and data modeling skills, with experience applying skills to

thoughtfully create data models in a warehouse environment.

• A proven track record of using analysis to drive key decisions and influence change

• Strong storyteller and ability to communicate effectively with managers and

executives

• Demonstrated ability to define metrics for product areas, understand the right

questions to ask and push back on stakeholders in the face of ambiguous, complex

problems, and work with diverse teams with different goals

• A passion for documentation.

• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a

dynamic environment.

• A bias towards communication and collaboration with business and technical

stakeholders.

• Quantitative rigor and systems thinking.

• Prior startup experience is preferred, but not required.

• Interest or experience in machine learning techniques (such as clustering, decision

tree, and segmentation)

• Familiarity with a scientific computing language, such as Python, for data wrangling

and statistical analysis

• Experience with a SQL focused data transformation framework such as dbt

• Experience with a Business Intelligence Tool such as Mode/Tableau

Mandatory Skillset:

-Very Strong in SQL

-Spark OR pyspark OR Python

-Shell Scripting

Required Skills:

• 4+ years of experience in embedded software development.
• 2 - 4 years of hands-on experience in C/C++ programming.
• Knowledge of TCP/IP internals and common network protocols such as DHCP, DNS, IPV4/IPV6, NAT
• In-depth knowledge of Layer 2 and Layer 3 protocols (Ethernet, IP, TCP/UDP, MPLS, BGP, OSPF)
• In-depth knowledge of RDK-B architecture, TR-069/TR-181, and networking stacks
• Work on TR-069, TR-181 data models, and DOCSIS / DSL / GPON technologies
• Experience and knowledge on IEEE802.11/Wi-Fi protocols such as WPA, RADIUS, WPS, 802.11n/ac/ax/be, mesh networking

The ESAB Project Enterprise – SAP S/4HANA Technical & Integration Lead will be a seasoned SAP S/4HANA champion, fluent in the language of integrations, technical complexities and automated testing. You will thrive in the dynamic world of connecting systems and orchestrating flawless data flow. In this role, you will be the linchpin between our core SAP S/4HANA system and the vast ecosystem of connected applications and external data sources. You will lead a team of technical specialists, defining integrations, implementing solutions, establishing automated testing, and ensuring seamless data exchange across the organization.

What you will do

• Lead the design, development, and implementation of complex integrations between SAP S/4HANA and other enterprise systems, cloud applications, and data sources.
• Mastermind the technical architecture of integrated solutions, leveraging SAP Cloud Integration (CPI), API Management, and other relevant technologies.
• Evaluate and implement industry best practices for secure and efficient data exchange using various integration patterns (e.g., API, middleware, cloud-based integrations).
• Work closely with business stakeholders and developers to understand integration requirements and translate them into technical solutions.
• Manage and prioritize integration projects, ensuring timely delivery within budget and scope.
• Monitor and troubleshoot integration performance, identifying and resolving issues proactively.
• Establish test automation tools to optimize testing efforts and improve efficiency.
• Stay up-to-date on the latest SAP S/4HANA integration technologies and best practices, continuously upskilling yourself and your team.
• Lead knowledge sharing and training initiatives to enhance the team's expertise in SAP S/4HANA and integrations.

What we are looking for

• 7+ years of experience working with SAP S/4HANA and ECC.
• Proven track record of successfully leading and delivering complex S/4HANA integration projects.
• In-depth understanding of integration technologies like SAP Cloud Integration (CPI), API Management, middleware, and data migration tools.
• Solid knowledge of SAP ABAP, SAP Basis, and SAP Fiori architecture.
• Experience with cloud-based integration platforms and cloud-native technologies.
• Experience with test automation tools like Tricentis.
• Strong analytical and problem-solving skills.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Leadership qualities and the ability to motivate and mentor others.

Education Requirements

·        Not applicable

Preferred

·   Understanding of manufacturing industry

Competencies & Behaviors Needed

·      Exceptional communicator at all employee levels including senior executives.

·      Strong proponent of ESAB’s values and behaviors and EBX principles.

·      Drives continuous improvement.

·      Effective at building relationships and trust.

·      Strong collaboration skills across functions and business platforms.

·      Negotiates with associates with a respectful give-and-take approach, where decisions are shared.

·      Comfortable working in a global matrix organization.

·      Results-oriented with the ability to make decisions and to follow through on programs and developed policies.

·      Bias for action; a sense of urgency; initiative-taker; moves with speed.

·      Focus on delivering results and continuous improvement.

·      Manages workload efficiently and effectively.

·      Agile mind; quick on one’s feet.

·      Prioritizes for maximum impact.

·      Good at synthesizing data and distilling key points.

·      Can dive deep into detail to support root cause analysis yet understands the big picture.

·      Insightful, deductive reasoner, fact-based analytical person.

·      Influencing and driving performance without authority.

Additional Key Attributes

·      Integrity, credibility, and character with demonstrated ethical behaviors.

·      A collaborator and leader with self-confidence, humility, and consultative skills to positively influence the business.

·      A tenacious, operationally minded individual with a strong work ethic.

Job Description

• Be a champion for technical solutions on the Microsoft platform with a keen understanding of Dynamics NAV/BC development practices, and a good knowledge of other development techniques. Should have done upgrades from previous versions and data migration from various legacy applications.
• Provide capability to develop sector-specific templates to enhance the out of the box Dynamics NAV/BC functionality, giving a unique selling point and also a resaleable asset.
• Work closely with the architecture team to design and develop our most complex customer needs, providing development only where these requirements cannot be met through configuration. Creating high quality and sustainable client solutions and project documentation.
• Meet and exceed customer expectations of business knowledge, skills and behavior. Identify business/project risk and mitigate or communicate as necessary.
• Participate in pre-sales activities as requested.
• Support practice development activities such as defining and configuring industry-specific templates.

Responsibilities:

• Be a champion for technical solutions on the Microsoft platform with a keen understanding of Dynamics NAV/BC development practices, and a good knowledge of other development techniques.
• Work closely with the architecture team to design and develop our most complex customer needs, providing development only where these requirements cannot be met through configuration.
• Provide capability to develop sector-specific templates to enhance the out of the box Dynamics NAV/BC functionality, giving a unique selling point and also a resaleable asset.
• Support practice development activities such as defining and configuring industry-specific templates.
• Participate in Pre-sales activities as and when required.

Technical Skills:

Primary Skills Required(Dynamics NAV/BC)

• Extensive experience with Dynamics NAV/BC up to the latest versions
• Broad Dynamics NAV/BC module understanding covering all core modules and additional add-on solutions
• Direct experience in consultancy and solution architecture within a Microsoft Gold Partner environment
• Track record of Dynamics NAV/BC implementation experience either as a team member or team leader.
• Knowledge of NAV/BC implementation and end to end implementation
• Experience with NAV/BC interfacing and integration. Experience in gathering technical requirement. upgrades and migration knowledge is important
• Beneficial to know Agile and Sure Step methodologies
• Experience in other technologies such as D365, SQL, Power BI, SSAS, SharePoint along with knowledge of Azure and .Net;
• Strong verbal and written communication skills, along with well-developed interpersonal skills and an ability to relate to clients and colleagues

Secondary Skills:

• Knowledge of SQL Server, MS Azure, Power BI, SSRS.(Required)
• Good to have someone with Auto domain expertise. Should have very good experience in client handling

Soft Skills Required:

Strong personal organization and time management skills

Job Description

Cyber Threat Intelligence & Threat Hunting - Subject Matter Expert (B3-2)

Responsibilities:

Perform threat research, create actionable threat advisories, and derive hunting queries based on the evolving threat vectors.

Understand APT groups, Conduct deep dive technical analysis of cyber-attack tools, tactics, and procedures. Create hypothesis and perform active threat hunting.

Minimum Requirements:

10+ years of overall experience, 7+ years of experience in cyber threat intelligence, malware analysis (Reverse engineering)

Hands-on experience with writing threat hunting hypothesis & active threat hunting

Experience with YARA rule and OpenIOC signature creation.

Experience with multi-tiered mission-critical systems.

Experience in opensource sandbox and honeypots.

Preferred Certification

GIAC Cyber Threat Intelligence (GCTI)

C| TIA (Certified Threat Intelligence Analyst)

CCTIA by the NICCS

• Ability to work effectively in a team environment Pleasant, professional, and courteous personality skill
• Excellent verbal and written communication skills
• Providing Voice support to Internal and External End Users. The job will require you to handle inbound calls / emails / chats regarding technical issues for end users.
• Perform problem cause analysis
• Resolve customer queries and achieve customer delight.
• Ability to Identify Opportunity and Implement Process Improvements

Requirements:

• Retrieve Data from Databases

SSRS developers optimize SQL server queries to retrieve data efficiently and quickly. As

teams submit requests for different ways of doing things, SSRS developers work with them to find solutions that meet their needs.

• Design Data Solutions

To create and design best-practice data warehouse solutions that support business reporting tasks. This is achieved using different programs and software, such as Microsoft Excel, MS SQL Server, and Tableau.

• Create and Maintain Reporting Processes

To maintain a record of the different reporting processes in place. Evolve ways & means for a more effective data management.

• Resolve IT and Data Issues
• Provide Delivery Plans and Estimates for Projects