10 Azure Search Jobs

As a Senior Manager, Full-Stack in our company located in Bangalore, you should have a solid background in .Net Core / ASP. Net Core, ReactJS, and Database technologies. It is essential that you possess a minimum of 5-6 years of experience with Asp.Net Core and 3-4 years of experience with React/React.Js. In this role, you will be responsible for both people management (50 PERCENT) and technical duties (50 PERCENT), which include managing direct reports, conducting performance appraisals, and engaging in coding and development tasks. Your expertise should cover server-side development using ASP .NET Core, client-side development with ReactJS, and familiarity with SQL or NoSQL databases such as SQL Server, Azure CosmosDB, or MongoDB. Additionally, experience with Rest API, GraphQL, Elastic Search or Azure Search, API Management Platforms like Apigee or Azure APIM, working with large datasets, developing reusable frameworks, and knowledge of cloud native application architecture patterns are highly desirable. As part of the role, you should be well-versed in architecting applications in Microsoft Azure, designing APIs, developing RESTful web services, utilizing DevOps Tools for CI/CD, implementing secure application development practices, and working in agile environments. The ideal candidate will have a background in IT/Computers-Software industry, previous experience as a Senior Technical Architect, and possess key skills in React, React.Js, .Net Core, Asp.Net Core, SQL, NoSQL, Technical Management, and Full Stack development. A Bachelor's or Master's degree in relevant fields such as B.Sc, B.Com, M.Sc, MCA, B.E, or B.Tech is required for this position. If you believe you have the skills and experience we are looking for, please send your resume to Resume.Augusta@augustainfotech.com.,

As a Full Stack Developer, you will be responsible for leading the development of our React/.NET(core) based web application while ensuring synchronization with our backend Azure SQL Server and Cosmos databases. Your responsibilities will include leading the development of our React/.NET(core) -based online application, ensuring synchronization with NO SQL database preferably COSMOS DB and our Azure SQL Server on the backend. You will also develop and maintain scalable and secure full-stack web applications, build and maintain RESTful APIs, optimize existing APIs for maximum performance, ensure proper testing and deployment of all web applications, and maintain and update development roadmaps and timelines. Additionally, you will work in a fast-paced Agile development environment. To be successful in this role, you should have 3-5 years of experience in web programming and software development. Hands-on experience in Data Structures, Object-Oriented Programming, Architectures like REST, Json APIs, Microservices, Solid Principles & Design Patterns, as well as at least 1 project implementation as a Full Stack Developer is a must. You should also have experience in developing web applications and user interfaces using technologies such as ASP.NET Core (C#), Entity Framework/ADO.NET, SQL, Web API & Json services, Angular.js, React/Redux, React Server-Side Rendering (SSR), CSS (LESS, SASS, etc.), front-end frameworks, Object-Oriented JavaScript, and JavaScript. Strong knowledge of Dependency Injection, IoC Containers, and Life Cycles is required. Experience with tools like Azure Devops, GIT version tracking, branching/merging, Visual Studio or Visual Studio Code, and Postman is also necessary. Proven experience in Azure platform services including Azure Web/API Apps, Azure Functions, Azure Service Bus, Azure Cosmos DB, Azure SQL, Azure Redis, Azure Search, and Azure Data Factory is required. Experience working with No-SQL databases like Azure Cosmos DB, Cloud technologies, Queue, Pub/Sub, Cache mechanisms, data integration, and 3rd party APIs is preferred. You should also have experience in application performance monitoring, profiling applications, and detecting/fixing bottlenecks. Familiarity with JIRA and Agile (Scrum & Kanban) practices is beneficial. Strong problem-solving skills, attention to detail, and the ability to work independently are essential, along with good written and verbal communication skills.,

As a Senior Data Engineer at JLL Technologies, you will: Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc Unify, enrich, and analyze variety of data to derive insights and opportunities Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org Mentor other members in the team and organization and contribute to organizations growth. What we are looking for: 6+ years work experience and bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc. 3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools Independent and able to manage, prioritize & lead workload What you can expect from us: Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...

What we are looking for: 6+ years work experience and bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc. 3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools Independent and able to manage, prioritize & lead workload

Job Description. Position: Junior AI Engineer. Type: Full-time. Worksite: Work from the Office. Work Location: NIBM Pune (Kondhwa). Experience Level: 3 to 5 Years. Team: AI Engineering & Product Delivery. Technology: Full-Stack AI Systems (LLMs & Product Integration). Role Overview. We are hiring a Junior AI Engineer to support the development of intelligent microservices and LLM-powered experiences. This is a hands-on development role focused on implementing backend services, integrating prompt workflows, and building APIs to deliver real-time insights. You’ll work closely with both the senior AI architect and the product team to bring AI capabilities to life.. Core Responsibilities. Implement and maintain AI-driven APIs and microservices using Python (FastAPI) and async workflows.. Integrate LLM models for tasks such as dynamic content generation, candidate evaluations, and smart recommendations.. Build embedding pipelines for search, matching, and personalization features using tools like FAISS or LangChain.. Collaborate with the product team to iterate on features and refine user-facing AI experiences.. Assist in prompt creation, validation, and performance tuning using available LLMOps toolchains.. Handle data modeling, schema updates, and metadata tracking in PostgreSQL and MongoDB.. Support CI/CD, logging, and deployment processes in a cloud-native infrastructure setup.. Required Skills. 3–6 years of experience in backend or full-stack engineering, with at least 1 year of applied experience in AI or LLM-integrated systems.. Strong experience in Python, especially with FastAPI or Flask, and asynchronous programming.. Familiarity with OpenAI APIs, LangChain, or similar libraries for prompt-based workflows.. Experience working with REST APIs, JSON schemas, and cloud databases (PostgreSQL, MongoDB).. Exposure to containerized development, CI/CD practices, and logging/monitoring tools.. Willingness to collaborate closely with product and design teams, taking ownership of full implementation cycles.. Tech Stack. Languages & Frameworks: Python (FastAPI, Pydantic), JavaScript/React (basic familiarity preferred). AI & LLM Tools: OpenAI API, LangChain, LlamaIndex, FAISS (or Azure Cognitive Search). Data & Storage: PostgreSQL, MongoDB, Redis. Infra & Deployment: Docker, GitHub Actions, Azure Container Apps (preferred). Event & Async: Kafka or Event Hubs, Celery, AsyncIO tasks. Security & DevOps: JWT, OAuth2, Key Vault (preferred), logging (Sentry), monitoring (Grafana, Prometheus). Show more Show less

We are looking for a Strategic thinker, have ability grasp new technologies, innovate, develop, and nurture new solutions. a self-starter to work in a diverse and fast-paced environment to support, maintain and advance the capabilities of the unified data platform. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of cloud infrastructure technologies and platform engineering experience. Responsibilities Working with the application teams to prioritize new requests for functionality. Specifically, new user-facing functionality (e.g., the ability to ingest IoT data, subscription-based consumption, etc.) Addressing internal functionality (e.g., monitoring and alerting based on application performance, automated testing frameworks, etc.) Managing respective support queues (e.g., Ingest, Prepare, Storage and Consume, etc.) Note: agreed upon SLAs will be established post burn-in period Manage backlog via effective sprint planning based on feedback from the application teams. Mentoring and coaching the application teams on tools, technology and design patterns. Ensuring that the production environment is well built and that there is a clear escalation path for production issues Ensuring solution architecture meets JLL's requirements including, but not limited to, those regarding cloud spend, scalability, performance, etc. Developing infrastructure that is scalable, reliable, and monitored. Building a relationship with Cloud providers, to take advantage of their most appropriate technology offerings. Collaborating with the application team leads to ensure that the application teams' needs are met through the CI/CD framework, component monitoring and stats, incident escalation. Lead teams for a discovery and architecture workshop, influence client architects, and IT personnel Guide other architects working with you in the team. Adapt communications and approaches to conclude technical scope discussions with various Partners, resulting in Common Agreements. Deliver an optimized infrastructure services design leveraging public, private, and hybrid Cloud architectures and services Act as subject matter and implementation expert for the client as related to technical architecture and implementation of proposed solution using Cloud Services Inculcating "infrastructure as code" mentality in the Platform team overall. Create and maintain incident management requests to product group/engineering group. Analyse Complex application landscapes, anticipate potential problems and future trends, assess potential solutions, Impacts, and risks to propose cloud roadmap & solution architecture Develop and implement cloud architecture solutions based on AWS/Azure/GCP Cloud when assigned to work on delivery projects. Analyse client requirements, propose for overall Application modernization, migrations and green field implementations Experience in implementing and deploying a DevOps based, end to end cloud application. Sounds like you? To apply you need to be: Experience & Education Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Worked with Cloud delivery team to provide technical solutions services roadmap for customer. Knowledge on creating IaaS and PaaS cloud solutions in Azure Platform that meet customer needs for scalability, reliability, and performance Technical Skills & Competencies Must have experience in application development on Azure Cloud. Must possess business level understanding of enterprise application systems to drive innovations and transformations. Should have very good understanding of Cloud Native services and how they ascribe to application requirements. Minimum of 3-5 years of relevant experience with, API ingestion, file ingestion, batch transformation, metadata management, monitoring, pub/sub consumption, RDBMS ingestion and real-time transformation. Minimum of 3-5 years using the following technology or equivalent:GithubActionns, Azure DevOps, Azure Functions, Azure Batch using Python, C#, or NodeJS, Azure APIM , Azure Event Hub, Azure Data Lake Storage (Gen 2), Azure Monitor, Azure Table Storage, Azure Databricks, Azure SQL Database, Azure Search, Azure Cosmo Data Store, and Azure SignalR. Work with infrastructure team and deploy applications on cloud using blue green or brown field deployments. Ability to provide holistic and right scale cloud solutions that addresses scalability, availability, service continuity (DR), and performance and security requirements. Help customers by supporting scalable and highly available applications leveraging cloud services. Scripting and Automation skills using CLI, Python, PowerShell Clear understanding of IAM roles and policies and how to attach them to business entities and users. Provide deep development knowledge with respect to cloud architecture, design patterns. Design understanding and experience in RDBMS, NoSQL and RDS. Exposure to PaaS technologies and Containers like Docker, Kubernetes. Should understand costing oerent cloud services. Should have experience with Azure Cloud Infrastructure. Should have experience with CI CD tools such as Azure Devops, GitHub, Github Actions. Understanding of Application architecture and Enterprise Architecture is a must. What we can do for you: Youll join an entrepreneurial, inclusive culture. One where we succeed together across the desk and around the globe. Where like-minded people work naturally together to achieve great things. Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you... Apply today! Location: On-site Bengaluru, KA Scheduled Weekly Hours: 40 If this job description resonates with you, we encourage you to apply even if you dont meet all of the requirements. Were interested in getting to know you and what you bring to the table! JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLLs recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy . Jones Lang LaSalle (JLL) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process including the online application and/or overall selection process you may contact us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our page > I want to work for JLL.

What this job involves: JLL, an international real estate management company, is seeking an Data Engineer to join our JLL Technologies Team. We are seeking candidates that are self-starters to work in a diverse and fast-paced environment that can join our Enterprise Data team. We are looking for a candidate that is responsible for designing and developing of data solutions that are strategic for the business using the latest technologies Azure Databricks, Python, PySpark, SparkSQL, Azure functions, Delta Lake, Azure DevOps CI/CD. Responsibilities Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements. Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate. Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform. Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org. Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data. Using PySpark and Spark SQL, extract, manipulate, and transform data from various sources, such as databases, data lakes, APIs, and files, to prepare it for analysis and modeling. Build and optimize ETL workflows using Azure Databricks and PySpark. This includes developing efficient data processing pipelines, data validation, error handling, and performance tuning. Perform the unit testing, system integration testing, regression testing and assist with user acceptance testing. Articulates business requirements in a technical solution that can be designed and engineered. Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of JLL data. Implement data security best practices, including data encryption, access controls, and compliance with data protection regulations. Ensure data privacy, confidentiality, and integrity throughout the data engineering processes. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Experience & Education Minimum of 4 years of experience as a data developer using Python, PySpark, Spark Sql, ETL knowledge, SQL Server, ETL Concepts. Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Experience in Azure Cloud Platform, Databricks, Azure storage. Effective written and verbal communication skills, including technical writing. Excellent technical, analytical and organizational skills. Technical Skills & Competencies Experience handling un-structured, semi-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues Hands on Experience and knowledge on real time/near real time processing and ready to code Hands on Experience in PySpark, Databricks, and Spark Sql. Knowledge on json, Parquet and Other file format and work effectively with them No Sql Databases Knowledge like Hbase, Mongo, Cosmos etc. Preferred Cloud Experience on Azure or AWS Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams.

We are looking for a Senior Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. As a Data Engineer 2 at JLL Technologies, you will: Contributes to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate What we are looking for: 4+ years overall work experience and bachelor's degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Minimum of 3 years of experience as a data developer using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. Excellent technical, analytical and organizational skills. Effective written and verbal communication skills, including technical writing. Hands-on engineering lead who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security etc Hands-on Experience for building Data Pipelines in Cloud. Experience in working with databases especially SQL server databases. Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs