11+ Oracle Linux Jobs in Mumbai | Oracle Linux Job openings in Mumbai

Main tasks

• Implementation, operating and monitoring of LS system solutions on-premise and in the cloud
• Analysis and sustainable troubleshooting of system failures
• Support in the area of information and IT security

Qualification profile

• Successfully completed training or studies in the field of IT
• Experience in operating on-premise, public and private cloud solutions
• Young professionals are welcome
• Good English skills
• Knowledge in the following areas
• Oracle Database
• Oracle Application Server
• Oracle Linux
• Oracle Linux KVM
• Oracle Weblogic

Focus: Selling courses (Travel & Tourism, Makeup, Podcasting)

Candidate Requirements:

Experience: Minimum 1 year in the Ed-Tech industry with Strong communication and sales skills

Location: Goregaon East

Compensation: Fixed salary up to ₹6.5 LPA + Uncapped Incentives

Work Schedule: Monday to Saturday

Working Hours: 11:30 AM – 8:30 PM

Age Criteria - Max upto 35 years (36 years or more will not be considered)

Required Skills

·      Experienced developer with hands-on expertise in Java Spring Boot: Spring Boot Data, Spring Boot Integration, Spring Boot Messaging, Spring Boot Web, Spring Boot Security, and Spring Boot AOP., MySQL, REST API, SOAP APIs, JavaScript, Angular, Tomcat, Drools, Docker, Kubernetes.

·      Strong understanding of MicroServices architecture, design patterns and best practices.

·      Designing and Developing web applications using Microservices on Java Spring Boot, testing using jUnit & jMeter, deploying using Maven, Jenkins, Docker & Kubernetes, monitoring using ELK and associated technologies.

·      Excellent problem-solving skills and ability to troubleshoot technical issues effectively. Troubleshoot and resolve technical issues, ensuring the stability and performance of applications.

Responsibilities

·      Implement low-level designs and coding for complex software systems.

·      Collaborate with cross-functional teams and Business Analysts to understand business requirements and translate them into technical solutions.

·      Implement best practices for software development, code reviews, and quality assurance.

We are seeking a hands-on and technically strong Generative AI Engineer to join the AI Platform Capabilities team as part of a Platform Implementation Partner engagement. In this role, you will design, build, and deploy enterprise-grade Generative AI platform capabilities across multiple Local Business Units operating on both GCP and Azure environments.

The role focuses on engineering production-ready and reusable GenAI components across the full AI stack, including Decision & Orchestration Layers, Execution Runtime Layers, and Build & Lifecycle Layers. You will work closely with implementation partners and Data & AI teams to ensure scalable, enterprise-compliant AI capabilities are delivered within project timelines. This is a deeply technical engineering role with strong emphasis on implementation and operationalization rather than client management.

Key Responsibilities:

• Design and implement enterprise-grade RAG pipelines including ingestion, chunking, embeddings, vector search, retrieval logic, and evaluation frameworks.
• Build multi-agent AI systems with orchestration, semantic routing, memory management, workflow execution, and agent communication capabilities.
• Develop centralized LLM Gateway solutions covering model routing, observability, caching, rate limiting, and policy enforcement.
• Implement scalable GenAIOps, AgentOps, and MLOps frameworks for deployment, monitoring, evaluation, and governance of AI systems.
• Build scalable AI services and REST APIs using Python and deploy them on cloud-native infrastructure.
• Implement AI governance, safety guardrails, audit logging, PII protection, and compliance frameworks.
• Integrate AI solutions into CI/CD pipelines and provision infrastructure using Infrastructure-as-Code practices.

Must-Have Skills:

• Strong hands-on experience with Generative AI, RAG pipelines, embeddings, vector databases, and retrieval evaluation.
• Experience building agentic AI systems including orchestration frameworks, semantic routers, reasoning engines, and memory management.
• Expertise with LLM Gateway implementations, tool integrations, event-driven architectures, and AI runtime systems.
• Solid understanding of GenAIOps, AgentOps, and MLOps principles and tooling.
• Strong experience with GCP AI/ML ecosystem including Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Storage.
• Excellent Python programming skills for AI pipelines, APIs, and automation workflows.
• Experience implementing AI governance, safety, compliance, and monitoring frameworks.
• Hands-on experience with CI/CD pipelines and Terraform-based infrastructure automation.

Nice-to-Have Skills:

• Experience working in multi-cloud environments across GCP and Azure.
• Familiarity with LangChain, LlamaIndex, RAGAS, DeepEval, or Vertex AI Rapid Eval.
• Exposure to Knowledge Graphs, Document Intelligence platforms, and Agent Marketplace concepts.
• Experience with enterprise AI-ready data layers including Vector Stores, Feature Stores, and Embedding Infrastructure.
• BFSI domain knowledge including regulatory compliance and data sovereignty considerations.
• Google Cloud Professional Machine Learning Engineer certification.
• Experience working in large-scale enterprise transformation programs. 

We are from Grups Automation , Providing solution in Automation Industry

Job Profile : Sales CordinatorResponsibilities : ( Sending offer and followup for an order , Payment and Dispatch,Coordination between Company and Clients )

1. Min Qualification : Under Graduate ( HSC )Experience : Fresher to 2 YearGender : M/ FLocation : Gauraipad , Vasai East and Vasai West near Station Joining time : At earliest CTC : 1.2 to 2.5 Lacs/Yr : As per performance Interview Duty Time - 9.30 to 6Weekly off : Sundayn Commitment : 2 years

• Product Manager leads multiple inter-dependent work-streams, each with massive business potential and scale, immediately:
• Complete end-to-end product design for web-based Ed-Tech Platform with blockbuster in-market results as we go from MVP to scaled product.
• Lead complexity of creating a platform that should be absolutely delightful for kids 6-14 while delivering perceived academic value to parents.
• Have a global aesthetic—the product will expand globally in 3 months time and aesthetic should transcend cultural boundaries to deliver a true global experience.
• Have strong detail orientation—the product will have inter-dependent flows on both front-end as well as teacher/admin/ops back-end.

• 7-10 years of experience with at least 6 years of experience as a Product Manager
• Scaled consumer product experience
• Building a product from scratch and grown to 2x or 3x.
• Good to have candidates from IIT/NIT/BITS Pilani and Top colleges