11+ HDL Jobs in Chennai | HDL Job openings in Chennai

Oracle Cloud HCM Technical 

Experience- 6 – 12 years 

Location- Hyderabad, Chennai, Bangalore, Pune, Kolkata, Noida, Gurgaon, Mumbai 

1.Practitioner/expert level knowledge in at least 2 of the following tools: HDL, HCM Extracts, 

BIP Reports, OTBI Reports, REST Web services, Fast Formula 

2.In depth knowledge in at least two of HCM Cloud Modules: 

∙Core HR   

∙Absences   

∙Benefits   

∙Payroll   

∙Workforce Compensation 

∙OTL 

∙Taleo 

∙OLC 

∙Oracle recruit. 

1.Cloud -certification will be an advantage 

2.Very good communication skills and excellent problem-solving skills. 

3.Direct client interaction experience will be an advantage

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 

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.

Kindly Check the Roles and Responsibilities of the US IT Recruiter

• Responsible for handling IT requirements from US-based clients.
• Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.
• Sourcing from Job Portals (Monster, Dice, Career builder, Yahoo Hot Jobs), Making job postings on the Job Portal.
• Must be having the capability to work with a team or individually.
• Maintain close contact with candidates/Vendors/ recruiters/offshore team.
• Publish progress reports to management every week.

• Python with Powershell (who worked in Security related product Development(First Pref)/Networking.

Key Responsibilities

• Collaborate in the design, implementation, and deployment of successful software applications in support of our Threat management platforms.
• Developing backend components to enhance performance and receptiveness, server-side logic, and highly responsive web applications.
• Performance tuning and automation of application.
• Enhancing the functionalities of current software systems.
• Understand system interdependencies and limitations.
• Functionally decompose complex problems into simple, straightforward solutions.
• Rightly estimate the task and take ownership of building production-ready software solutions.
• Collaborate with other teams to implement features based on business rules and visual design.

Minimum qualification & experience

• Engineering graduate.
• 4 years of demonstrated professional experience in delivering and operating large-scale applications.
• Strong software development skills in python including python frameworks like Django, Flask, etc.
• Experience with software development, Web frameworks and database technologies, e.g., REST APIs, and automated scripts.
• Experience with current development technologies, methodologies and workflows including CI/CD, Docker, Git, and Jenkins preferred.
• Experience with microservice development and dockerized application development is a PLUS.
• Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
• Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.
• Working familiarity with basic Linux administration.
• https://ind01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcybersecurityguide.org%2Fcareers%2F&;data=05%7C01%7Cmadhvi.1%40neweraindia.com%7C71e5f8231a514be638bf08da656eee89%7Cc04e2addbf474beabf38e722114ec31f%7C0%7C0%7C637933824369629597%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=5ezbPi2xWTVZVsmDSzinf6eC37Mr6zWQpfivsSWa1A0%3D&reserved=0" target="_blank">Experience in the cybersecurity field especially with threat intelligence or security orchestration is a plus.

Job description

The ideal candidate will oversee the online marketing strategy for the organization by planning and executing digital marketing campaigns. This candidate will launch advertisements and create content to increase brand awareness. This candidate will have previous marketing experience and be able to monitor the company's social media presence.

Key Skills

• Keyword research
• On-page keyword targeting
• Knowledge of WordPress
• SEMrush, keyword tool.io, ahref’s
• Google analytics
• Google webmaster
• Generating Sitemap of website
• Indexing the website on various search engines
• Microsoft Excel
• Yoast SEO
• Advanced Link building skills required ( Guest Blogging, Skyscraper Technique, relationship-based Link Building, Broken Link Building.)
• Good in writing and editing contents

Roles & Responsibilities

• On-page SEO optimization
• Off-page SEO (Link Building Backlinks)
• Social media marketing
• Checking & removing Duplicate content
• Formatting of content for better ranking
• Email marketing
• Running Facebook ads
• Running Google PPC, Display & remarking campaigns

Qualifications

• Excellent understanding of digital marketing concepts
• Experience with business to customer social media and content generation
• Strong creative and analytical skills

• Bachelors in Computer Science, Information Systems or equivalent.
• 6 years experience delivering highly available web/mobile applications including 1-3 years as Senior/Lead developer.
• Prior experience in retail domain is a plus.
• 3 years of experience working with distributed teams.
• Deep knowledge of UI Libraries / Frameworks, API (REST), API Management and building scalable and high performance Web APIs.
• Must have experience building websites using Javascript and Java technologies (e.g. Typescript, Spring Boot etc.). Search Engine and Native App development experience is a plus.
• AWS Serverless Cloud native services experience with Lambda functions, SNS, SQS, DynamoDB, API Gateway etc.
• Strong knowledge of Caching frameworks, data structures, algorithms, operating systems, and distributed systems.
• Strong understanding of databases, NoSQL data stores, storage and distributed persistence technologies.
• Strong communication and presentation skills.
• Passionate about enabling next generation experiences.
• Experience with automated testing, deployment pipelines and cloud based infrastructure

• Develop omni-channel digital solutions leveraging serverless and micro services in a cloud based platform to develop backend services.
• Design high/low level solutions, contribute towards architecture and technical roadmap.
• Lead technical implementation/delivery.
• Host/Lead technical discussions.
• Champion software development best practices, test driven development, CI and CD.
• Build cloud native and highly cost efficient solutions.
• Innovate, Unlearn and Disrupt. Research next generation frameworks and technologies.
• Embrace change. 

• Provide the team with a vision of the project objectives
• Responsible for finalizing and documenting requirements from customer

• Implementing high-level requirements and to produce robust solutions, within predefined timelines, and scope limitations
• Spearhead and Co-ordinate development activity required for the Project (Automation scripts, Tool development, )
• Ensure Quality with on time delivery of agreed deliverable

• Demonstrated expertise in a variety of application development, technology concepts,practices, and procedures

• Strong experience in Databases, SQL Programming, Data Conversion/Migration
• Good Experience in developing Automation scripts and using RPA tools
• Should have led a team and be able to mentor others to improve their skills
• Good Problem-Solving Ability and Analytical Skills
• Must have passion for their work