11+ Oracle Clusterware Jobs in Chennai | Oracle Clusterware Job openings in Chennai

Job Description & Responsibilities:

Selected engineer's day-to-day responsibilities include:

• Performs Database Administration tasks in Oracle & MS/MY SQL. Also performs basic DBA tasks in

SQL Server and DB2 environments as necessary.

• Designs and builds simple to complex database structures from data models.

• Installs, configures and patches Oracle.

• Implements HA and DR systems using Data guard and RAC.

• Builds and manages Data Guard Physical/Logical Standby Databases using Data Guard Broker

• Provides rotating 24x7 on-call support for company's Oracle, SQL Server, and DB2 environments as

necessary.

• Participates in design reviews as required to ensure database design meets application

requirements.

• Designs, maintains, documents and executes database utilities to provide information regarding

database activity.

• Proactively performs database monitoring and performance tuning tasks.

• Identify and provide solutions to performance issues in multiple database environments.

• Provides automation to standard DBA tasks. Able to develop scripts on UNIX and Windows

platforms as necessary.

• Reviews and enforces adherence to the company's Architecture, as well as database design and

usage standards.

• Understands database high availability technologies and guides the company in implementing

appropriate solutions.

• Performs other duties as assigned.

Location : Chennai, Tamil Nadu

Joining : Immediate – 15 days

Education, Experience & other requirements

• B.S. degree from an accredited university.

• Must have solid Oracle RAC , Golden Gate & Data Guard experience.

• 3+ years of extensive experience with Oracle database installation / configuration best practices

and Database upgrade/migration approaches.

• Experience installing, building, upgrading and supporting Oracle RAC environment, ASM,

Grid/Cluster.

• In-depth knowledge and hands-on experience in the installation, configuration and

troubleshooting of Oracle products and patches, including Oracle 12c, RAC, ASM, Clusterware,

GoldenGate, Dataguard, Oracle Database Appliance (ODA), Oracle Enterprise Manager 12c.

• Experience in Oracle 12c RAC based environment - architecture, installation, building, upgrading

and maintenance of Oracle RAC based environment in production.

• Extensive experience in Oracle DataGuard replication and physical standby for Disaster recovery

• Working experience of Oracle Database Appliance.

• Strong knowledge of OEM 12C grid monitoring configuration.

• Strong working experience with RMAN configuration, Job maintenance and backup & recovery

• Experience in database problem identification, problem diagnosis and resolution.

• Experience in building data architecture models and enforcing enterprise architecture standards

and guidelines.

• Excellent communication – ability to explain a technical problem to management.

• Ability to work on high performing teams and deliver under pressure situations.

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 

JOB DESCRIPTION/PREFERRED QUALIFICATIONS:

REQUIRED SKILLS/COMPETENCIES:

Programming Languages:

• Strong in Python, data structures, and algorithms.
• Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.

Machine Learning Frameworks:

• Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).

Deep Learning Techniques:

• Proficiency with PyTorch or TensorFlow/Keras
• Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
• Familiarity with optimization (Adam, SGD), dropout, batch norm.

LLMs & RAG:

• Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
• Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).
• Prompt engineering, function/tool calling, JSON schema outputs.

Data & Tools:

• SQL fundamentals; exposure to data wrangling and pipelines.
• Git/GitHub, Jupyter, basic Docker.

WHAT ARE WE LOOKING FOR?

• Solid academic foundation with strong applied ML/DL exposure.
• Curiosity to learn cutting-edge AI and willingness to experiment.
• Clear communicator who can explain ML/LLM trade-offs simply.
• Strong problem-solving and ownership mindset.

MINIMUM QUALIFICATIONS:

• Doctorate (Academic) Degree and 2 years related work experience; Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

MUST-HAVES:

• Education/qualification:  Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges.

• Doctorate (Academic) Degree and 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years

• Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing

• 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras

• Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)

QUESTIONNAIRE: 

Do you have at least 5 years of experience with Python, Deep Learning, Machine Learning, Algorithm Development, and Image Processing? Please mention the skills and years of experience:

Do you have experience with PyTorch or TensorFlow / Keras?

• PyTorch
• TensorFlow / Keras
• Both

How many years of experience do you have with PyTorch or TensorFlow / Keras?

• Less than 3 years
• 3 to 3.5 years
• 3.5 to 4 years
• More than 4 years

Is the candidate willing to relocate to Chennai?

• Ready to relocate
• Based in Chennai

What type of company have you worked for in your career?

• Service-based IT company
• Product company
• Semiconductor company
• Hardware manufacturing company
• None of the above

Job Description

We are seeking a highly skilled Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) and CI/CD automation to lead cloud infrastructure initiatives. The ideal candidate will design and implement robust CI/CD pipelines, automate deployments, ensure platform reliability, and drive continuous improvement in cloud operations and DevOps practices.

Key Responsibilities:

• Design, develop, and optimize end-to-end CI/CD pipelines using Jenkins, with a strong focus on Declarative Pipeline syntax.
• Automate deployment, scaling, and management of applications across various GCP services including GKE, Cloud Run, Compute Engine, Cloud SQL, Cloud Storage, VPC, and Cloud Functions.
• Collaborate closely with development and DevOps teams to ensure seamless integration of applications into the CI/CD pipeline and GCP environment.
• Implement and manage monitoring, logging, and ing solutions to maintain visibility, reliability, and performance of cloud infrastructure and applications.
• Ensure compliance with security best practices and organizational policies across GCP environments.
• Document processes, configurations, and architectural decisions to maintain operational transparency.
• Stay updated with the latest GCP services, DevOps, and SRE best practices to enhance infrastructure efficiency and reliability.

Mandatory Skills:

• Google Cloud Platform (GCP) – Hands-on experience with core GCP compute, networking, and storage services.
• Jenkins – Expertise in Declarative Pipeline creation and optimization.
• CI/CD – Strong understanding of automated build, test, and deployment workflows.
• Solid understanding of SRE principles including automation, scalability, observability, and system reliability.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes – GKE).
• Proficiency in scripting languages such as Shell, Python, or Groovy for automation tasks.

Preferred Skills:

• Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).
• Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.
• Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).
• GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.

Skills

Gcp, Jenkins, CICD Aws,

Nice to Haves

Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).

Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.

Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).

GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.

******

Notice period - 0 to 15days only

Location – Pune, Trivandrum, Kochi, Chennai

Software Engineer for Java

• Understanding of object-oriented programming and design patterns
• Strong with Java programming and Java Servlets.
• Proficient in API design and development using RESTful services (JSON, XML etc)
• Source code management using GIT
• Knowledge in Mongo DB and SQL or any equivalent No-SQL and Relational databases. 
• Experience working with Bootstrap, JavaScript, jQuery & HTML would be preferred.
• Experience in Node JS would be an added advantage. 

We are looking "SAP CPI/PI/PO" for Reputed Client @ Chennai Permanent Role.

Experience: 3-8 Yrs

• Should have worked on at least 2 integration projects with SAP Cloud Integration CPI 

• Prefer work experience on developing CPI flows to integrate with Cloud for customer, Hybris /commerce cloud, SuccessFactors, S4HANA & MDG. 

• Experience on Groovy scripts, Java, XSLT . 

• Should have worked on implementations with complex mappings and different adaptors like OData, SOAP, SF, IDoc, SFTP, Process Direct, JMS etc 

• Expert in operate and monitor integration scenarios and worked with Cloud monitoring tools. 

• Experience on integrating Cloud systems with on premise S4HANA and Database systems. 

• Worked with API Management and API Gateways for secure connectivity. 

• Extensive knowledge and experience on packaged content / OOB and customizes the standard artifacts. 

• Able to configure SAP PI/PO adapters like SOAP, IDOC_AAE, Proxy, RFC, REST, JDBC, SFTP, AS2, EDI Separator. 

• SAP PI/PO integration experience on XI CONTENT objects and Enterprise services provided by SAP. 

• Good in JAVA, UDF, custom adapter module developments. 

• Extensive knowledge on SAP PI/PO NWA, Issue analysis, Error handling & Performance tuning. 

• Knowledge on BTP is an added advantage. 

• Team player, good communication skills. 

Roles and Responsibilities

§ Writing, editing and publishing engaging content for various social networks, including Instagram, Linkedin, Twitter and Facebook etc.

§ Tracking and reporting on social media responses by analyzing traffic to the site

§ Update our social media pages with compelling company news, events, celebrations or solutions and services

§ Respond to questions and comments on our social media pages in a timely and accurate manner

§ Maintaining a visible online on social media presence and adhering to the marketing goals

§ Increasing the company's awareness and readership by using relevant advertising techniques

§ Optimize social media content (language, message, tone) on the basis of the behaviour of our target audience

§ Familiarity with paid advertisement and aware about different websites, and tools for creating graphics, images and video content

§ To create a range of engaging digital content such as Marketing and      

 Promotional videos and Reels to be used across a variety of online

 platforms and social media channels.

§ To help us maximise our online profile and develop our ever-growing social media presence through the creation of video driven strategies and digital media content.

§ Pays attention to trends on Instagram Reels creating and analyzing what works for our business.

§ Coordinate with the creative department to create advertising/engagement posts (e.g. for Company Events, Job posts, etc.)

§ Contribute to the creation of various content materials including: Blogs, Articles, Website Pages, Email templates, Social Media posts etc

§ Develop a deep understanding of MHFAI’s business, brand voice, and target audiences.

§ Develop posts and articles on a wide range of topics that resonate with our target audience and drive traffic to our website

§ Proofread and edit content to ensure high-quality standards, including grammar, spelling, and punctuation

§ Continuously discover and implement new editing technologies and      industry best practices to maximize efficiency

§ Requirements and skills

§ 3+ years of solid experience in digital content marketing or related fields

§ Excellent written and oral Communication skills

§ The ability to create original web content with images or videos

§ Proven work experience as a Social Media content writer or a similar role

§ Hands-on experience using various social media platforms to advertise

§ Proven record of excellent writing demonstrated in a professional portfolio

§ Ability to work independently with little or no daily supervision

§ Working knowledge of SEO, analytics tools, and keyword research

§ Strong research skills and the ability to synthesize complex information into clear and concise content

§ Creative thinking and the ability to generate innovative ideas

We are looking for a competent Executive Secretary to manage the Chairman’s office. You will be the one to organize and maintain his schedule and assist them by performing a variety of administrative tasks.

Executive secretaries must be quick professionals with great time-management and multitasking abilities. It is with their diligence and competence in their work that executives can focus on their managerial responsibilities without worrying for other tasks.

The goal is to contribute to the efficiency of the overall business by ensuring all assigned administrative duties are carried on timely and efficiently.

• Maintain executive’s agenda and assist in planning appointments, board meetings, conferences etc.
• Attend meetings and keep minutes
• Track the minutes and ensure that commitments made are kept up.
• Coordinate and ensure that all MIS  reaches the Chairman’s office in time.
• Receive and screen phone calls and redirect them when appropriate
• Handle and prioritize all outgoing or incoming correspondence (e-mail, letters, packages etc.)
• Make travel arrangements for executives
• Handle confidential documents ensuring they remain secure
• Prepare invoices or financial statements and provide assistance in bookkeeping
• Monitor office supplies and negotiate terms with suppliers to ensure the most cost-effective orders
• Maintain electronic and paper records ensuring information is organized and easily accessible
• Conduct research and prepare presentations or reports as assigned

• Proven experience as executive secretary or similar administrative role
• Proficient in MS Office and PC /Laptop handling
• In depth knowledge of office management including filing.
• Familiarity with basic research methods and reporting techniques
• Excellent organizational and time-management skills
• Outstanding communication and negotiation abilities
• Integrity and confidentiality
• Degree in business administration or relative field preferred