Shine Scraper
/jobs/batchBatch Job Details
Fetch up to 10 full job ads in one call by ID or URL. Jobs Shine no longer has are listed under errors.
QUERY PARAMS
Up to 10 Shine job IDs or job URLs, comma-separated.
Example: 19680754,19702695,19731708
{
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{
"id": "19680754",
"title": "Web Solutions Engineer - Backend & AI Integration",
"link": "https://www.shine.com/jobs/web-solutions-engineer-backend-ai-integration/google-india-pvt-ltd/19680754",
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"id": 769865,
"name": "Google India Pvt Ltd",
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"website": "https://about.google",
"domain": "about.google",
"size": "10,001+ employees",
"headquarters": "Hyderabad, India",
"founded_year": 2004,
"description": "Google India Private Limited is a subsidiary of Google LLC, focusing on providing a range of internet-related services and products, including search engines, online advertising technologies, cloud computing, software, and hardware. The company aims to organize the world's information and make it universally accessible and useful, serving millions of users and businesses across India.",
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"twitter": "https://x.com/Google",
"facebook": "https://www.facebook.com/Google",
"instagram": "https://www.instagram.com/google/",
"youtube": "https://www.youtube.com/google",
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"description_text": "Web Solutions Engineer, Technology and Insights Partnership Systems, Youtube India Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Math or a related quantitative field, or equivalent practical experience. 4 years of experience in full-stack or back-end software development and system design. Experience with distributed data processing (e.g., BigQuery, Spark), event streaming (e.g., Kafka), and scalable communication protocols (e.g., gRPC, Protocol Buffers). Experience working with database technologies (e.g. SQL, NoSQL). Preferred qualifications: 4 years of experience designing and optimizing databases. Experience working with systems for collaborative code reviews, version control, continuous integration, and automated testing. Ability to manage ambiguous requirements and influence both technical and non-technical stakeholders (Product Managers, UX Designers, Business Leaders). Strong systems fundamentals with prior experience working with, or an eagerness to master, agentic AI frameworks and LLM tooling (e.g., LLMs, Agentic harnesses, Vector Embeddings, and RAG). About the job The Content Partnerships Systems team within Technology and Insights (T&I) is the technical engine that powers YouTube's relationships with its global creators and partners. We develop the critical infrastructure and tooling used by Strategic Partner Managers to drive channel growth, manage complex portfolios, and optimize product activations. Our systems manage the end-to-end partner lifecyclefrom propensity modeling and incentive tracking to complex CRM workflowsensuring our business teams can deliver tailored, data-driven support to the creator ecosystem. As this ecosystem scales, our team is evolving. Our mission is anchored in our core pillars: AI Integration, Scalability, and Sustainability. Google's Web Solutions Engineers (WSE) develop the software-based solutions for complex business problems. We are looking for someone who is interested in automation, building scalable solutions, and demonstrating deep software engineering best practices. As an Web Solutions Engineer on the YouTube Technology and Insights team, you will focus primarily on backend service architecture, high-throughput data pipelines, and API integrations that connect with client web applications and partner portals. You understand the importance of code quality and test coverage. You have a strong bias towards action and a passion for providing smart, scalable solutions. Excellent communication skills are a must, as you will interact frequently and closely with our stakeholders from around the world and across different teams (Product, UX, Data Engineering and TPgM). You will have the opportunity to learn and grow inside YouTube. We need our engineers to be versatile and passionate to address new problems as we continue to push technology forward for the benefit of our users. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun and we do it all together. Responsibilities Design, build, and maintain backend service layers and APIs which integrate seamlessly with web-based client applications to deliver automated workflows and actionable insights to end-users. Design, build, and deploy AI-powered solutions (Single and Multi-Agent systems with Retrieval-augmented generation (RAG); versioned prompt libraries; skills; evals) using Googles Agent Development Kit. Deliver high-quality code and tests, ensuring the reliability, security, and accuracy of deployed solutions, including testing and evaluation frameworks for deterministic and model-based outputs. Write and review technical design documents for scalable systems. Develop project plans and deliver engineering projects on time and within budget with minimal guidance. Develop new approaches to solving business problems at scale, including opportunities to use rule-based and AI-based automations to eliminate operational friction and technical debt. Collaborate across time zones and act as a trusted technical representative on cross-functional projects. Experience Level Mid Level .",
"description_html": "Web Solutions Engineer, Technology and Insights Partnership Systems, Youtube India Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Math or a related quantitative field, or equivalent practical experience. 4 years of experience in full-stack or back-end software development and system design. Experience with distributed data processing (e.g., BigQuery, Spark), event streaming (e.g., Kafka), and scalable communication protocols (e.g., gRPC, Protocol Buffers). Experience working with database technologies (e.g. SQL, NoSQL). Preferred qualifications: 4 years of experience designing and optimizing databases. Experience working with systems for collaborative code reviews, version control, continuous integration, and automated testing. Ability to manage ambiguous requirements and influence both technical and non-technical stakeholders (Product Managers, UX Designers, Business Leaders). Strong systems fundamentals with prior experience working with, or an eagerness to master, agentic AI frameworks and LLM tooling (e.g., LLMs, Agentic harnesses, Vector Embeddings, and RAG). About the job The Content Partnerships Systems team within Technology and Insights (T&I) is the technical engine that powers YouTube's relationships with its global creators and partners. We develop the critical infrastructure and tooling used by Strategic Partner Managers to drive channel growth, manage complex portfolios, and optimize product activations. Our systems manage the end-to-end partner lifecyclefrom propensity modeling and incentive tracking to complex CRM workflowsensuring our business teams can deliver tailored, data-driven support to the creator ecosystem. As this ecosystem scales, our team is evolving. Our mission is anchored in our core pillars: AI Integration, Scalability, and Sustainability. Google's Web Solutions Engineers (WSE) develop the software-based solutions for complex business problems. We are looking for someone who is interested in automation, building scalable solutions, and demonstrating deep software engineering best practices. As an Web Solutions Engineer on the YouTube Technology and Insights team, you will focus primarily on backend service architecture, high-throughput data pipelines, and API integrations that connect with client web applications and partner portals. You understand the importance of code quality and test coverage. You have a strong bias towards action and a passion for providing smart, scalable solutions. Excellent communication skills are a must, as you will interact frequently and closely with our stakeholders from around the world and across different teams (Product, UX, Data Engineering and TPgM). You will have the opportunity to learn and grow inside YouTube. We need our engineers to be versatile and passionate to address new problems as we continue to push technology forward for the benefit of our users. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun and we do it all together. Responsibilities Design, build, and maintain backend service layers and APIs which integrate seamlessly with web-based client applications to deliver automated workflows and actionable insights to end-users. Design, build, and deploy AI-powered solutions (Single and Multi-Agent systems with Retrieval-augmented generation (RAG); versioned prompt libraries; skills; evals) using Googles Agent Development Kit. Deliver high-quality code and tests, ensuring the reliability, security, and accuracy of deployed solutions, including testing and evaluation frameworks for deterministic and model-based outputs. Write and review technical design documents for scalable systems. Develop project plans and deliver engineering projects on time and within budget with minimal guidance. Develop new approaches to solving business problems at scale, including opportunities to use rule-based and AI-based automations to eliminate operational friction and technical debt. Collaborate across time zones and act as a trusted technical representative on cross-functional projects. Experience Level Mid Level .",
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"posted_at": "2026-10-02T01:38:53Z",
"expires_at": "2026-12-01T01:38:51Z",
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{
"id": "19702695",
"title": "Sr. Cloud Solution Architect (Mumbai)",
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"website": "https://microsoft.com",
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"description": "Microsoft Corporation is a global technology company that develops, licenses, and supports a wide range of software products, services, and devices. Its core offerings include the Windows operating system, Microsoft Office suite, and Azure cloud services, addressing the needs of individuals, businesses, and organizations for productivity, collaboration, and cloud computing solutions.",
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"description_text": "Overview\nWith more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S;) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsofts products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers expectations in every interaction, whether in-product, digital, or human-centered. CE&S; is responsible for all up services across the company, including consulting, customer success, and support across Microsofts portfolio of solutions and products. Join CE&S; and help us accelerate AI transformation for our customers and the world.\nWe are looking for a Cloud Solution Architect (CSA) to help customers bring their AI-powered applications to production scale on Azure. In this customer-facing role, youll lead technical engagements across design, build, and operations, removing blockers and accelerating adoption of Azure AI, App Services, GitHub, and data platforms. As part of the Cloud + AI Apps team, you will deliver engagements leveraging existing Repeatable IP and execution engines with accountability for delivery excellence, consumption growth, and successful deployment for the customer. You will ensure production readiness of mission-critical workloads and contribute to reusable IP that scales impact. Youll be certified in priority workloads like Azure AI Foundry, AKS, Cosmos DB, and GitHub, and collaborate with customer executives, developers, and engineers to turn innovation into real-world outcomes.\n\nResponsibilities\nEngage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction.\nLead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure .",
"description_html": "Overview \nWith more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S;) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsofts products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers expectations in every interaction, whether in-product, digital, or human-centered. CE&S; is responsible for all up services across the company, including consulting, customer success, and support across Microsofts portfolio of solutions and products. Join CE&S; and help us accelerate AI transformation for our customers and the world. \nWe are looking for a Cloud Solution Architect (CSA) to help customers bring their AI-powered applications to production scale on Azure. In this customer-facing role, youll lead technical engagements across design, build, and operations, removing blockers and accelerating adoption of Azure AI, App Services, GitHub, and data platforms. As part of the Cloud + AI Apps team, you will deliver engagements leveraging existing Repeatable IP and execution engines with accountability for delivery excellence, consumption growth, and successful deployment for the customer. You will ensure production readiness of mission-critical workloads and contribute to reusable IP that scales impact. Youll be certified in priority workloads like Azure AI Foundry, AKS, Cosmos DB, and GitHub, and collaborate with customer executives, developers, and engineers to turn innovation into real-world outcomes. \n\nResponsibilities \n Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. \n Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure .",
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"description_text": "Job Details at a Glance Location Bangalore, Karnataka, India Company Capgemini Experience 0-2 years Qualification Relevant technical qualification and demonstrated shipping experience Eligible Batch 2023, 2024, 2025, 2026 Job Type Full Time Salary Not Disclosed Industry Technology Key Skills Python SQL AWS GCP Azure APIs CI/CD AI Python Gen AI Engineer at Capgemini Full Details & How to Apply Capgemini is seeking a Python Gen AI Engineer in Bangalore, Karnataka, India to design and deploy Generative AI applications, offering hands-on experience with technologies like Python and SQL . This role is crucial for developing enterprise-grade AI solutions that directly impact how organizations leverage technology. The demand for skilled professionals in AI and machine learning is surging, making the Python Gen AI Engineer role at Capgemini particularly significant. As businesses increasingly adopt AI-driven solutions, this position plays a vital role in shaping the future of technology services, ensuring that organizations can effectively utilize advanced AI capabilities. Capgemini is a leader in technology services, empowering employees to shape their careers. With a focus on innovation and collaboration, Capgemini fosters a culture that encourages continuous learning and professional growth, making it an ideal environment for aspiring engineers. This position is suitable for candidates with 0-2 years experience , specifically those from the eligible batches of 2023, 2024, 2025, and 2026 graduates . Applicants should possess a relevant technical qualification and demonstrated shipping experience . Salary details are Not Disclosed . In this role, you will gain experience with technologies such as AWS , GCP , Azure , and tools like LangChain and LlamaIndex . This experience will not only enhance your technical skill set but also open doors to advanced career opportunities in AI and software development. Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Python Gen AI Engineer at Capgemini is to innovate and implement Generative AI applications that enhance enterprise solutions through advanced data processing and AI integration. Design and develop Generative AI applications using Python , ensuring robust functionality and performance for enterprise-grade solutions. Build and optimize Retrieval-Augmented Generation (RAG) pipelines utilizing LangChain and LlamaIndex to enhance AI application capabilities. Collaborate with data engineers and AI specialists to integrate enterprise data sources with LLMs , ensuring seamless data flow and accessibility. Develop scalable ETL pipelines using Python and SQL to prepare structured and unstructured data for AI applications. Implement and maintain Vector Database solutions for semantic search and contextual information retrieval, enhancing user experience. Document processes and support the operationalization of GenAI solutions , ensuring clarity and efficiency in deployment. Troubleshoot and resolve issues related to AI applications , ensuring smooth production operations and minimal downtime. This role fosters an ownership culture where engineers directly impact the success of AI solutions , driving innovation and efficiency within Capgemini . Required Skills & Technical Competencies The Python Gen AI Engineer role requires a robust skill profile in various technical areas essential for developing and deploying AI solutions . Technical Skills Python entry essential for developing Generative AI applications and executing data engineering tasks. SQL entry used for developing ETL pipelines to manage both structured and unstructured data. AWS entry critical for deploying and operationalizing AI solutions in cloud environments. GCP entry utilized for cloud-based deployment of Generative AI applications and data management. Azure entry important for integrating AI solutions within cloud infrastructures. APIs entry leveraged for connecting various data sources and enhancing AI application functionality. CI/CD entry applied for automating deployment processes of AI applications to ensure continuous integration. AI entry foundational for understanding and implementing Generative AI technologies. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and practical application of these technologies. Eligibility Criteria This role is designed for candidates with a relevant technical qualification and a keen interest in AI and data engineering . A relevant technical qualification is required to understand the complexities of AI and data engineering. Eligible batches for this role",
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