144 Azure Cosmosdb Jobs

Job Role Key Tasks & Responsibilities Development of highly performant public facing REST API's and associated system integrations in an Azure hosted environment. Documentation of API's conforming to the Open API 3.x framework. Participating in code reviews, design workshops, story/ticket elaboration, etc. Review existing legacy implementations and input from the architecture team, and aid in designing and building appropriate solutions on the new platform following best practices. Ensure that the new platform is developed, tested and hosted in the most secure, scalable manner. Aid in the automation of testing and deployments of all deliverables. Required Skills C#, Microsoft SQL Server or Azure SQL, Azure CosmosDB, Azure Service Bus, Azure Function Apps, Auth0, WebSockets Strong development experience in C# and .NET core technologies built up across a range of different projects Experience of developing API's which conform as much as possible to REST principles in terms of Resources, Sub Resources, Responses, Error Handling Experience of API design and documentation using Open API 3.x / YAML / Swagger Experience of development, deployment and support within an Azure Environment, with an understanding of security and authorisation concepts Performance tuning of APIs and Azure Functions Ability and willingness to learn quickly and adapt to a fast-changing environment, with a strong interest in continuous improvement and delivery. Strong problem-solving skills and a good understanding of the best practices and the importance of Test Automation processes. Some familiarity with AWS, and especially ElasticSearch would be beneficial but not mandatory. Education and Professional Membership Educated to Degree Level or equivalent, preferably in Computer Science or related subject Azure Certifications an advantage Mandatory Competencies Programming Language - .Net - .NET Core Beh - Communication and collaboration Programming Language - Other Programming Language - C# Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Database - Database Programming - SQL

We are currently seeking a Software Developer_325633 to join our team in Bangalore, Karntaka (IN-KA), India (IN). Role: Software Developer Responsibilities - 1. Design, develop, and maintain responsive and enterprise web applications using Angular, NodeJS, TypeScript and Azure Services 2. Implement scalable server-side applications using Node.js and Express.js or other Node.js frameworks 3. Utilize and integrate various Microsoft Azure services (e.g., Azure Functions, Azure App Service, Azure SQL Database, Azure Cosmos DB, Azure Storage, Azure DevOps) for building, deploying, and managing applications 4. Develop and integrate RESTful APIs to facilitate communication between system layers 5. Collaborate with UI/UX designers, product managers, and developers to translate requirements into technical specifications and deliver features that meet business objectives 6. Optimize application performance, scalability, and security across the full stack 7. Implement best practices for quality code, security, and maintainability 8. Participate in code reviews, providing constructive feedback and ensuring adherence to coding standards 9. Troubleshoot, debug, and resolve issues across the application stack in a timely manner 10. Stay up-to-date with emerging technologies and industry trends in Node.js, Angular, TypeScript, and Azure 11. Contribute to the entire software development lifecycle, including requirements gathering, design, development, testing, deployment, and support 12. Work effectively in an Agile development environment Requirements - 1. Bachelor's degree (Computer Science/Information Technology/Electronics & Communication/ Information Science/Telecommunications) 2. 8+ years of experience in implementing/designing solutions using web based application technologies 3. Good work experience in web application on Azure cloud platform and object-oriented concepts 4. Proven experience implementing multi layer web based applications architecture 5. Critical thinker and good problem-solver 6. Good oral and written communication skills 7. Good team player, self-starter, and good analytical skills Skills NodeJS Full stack 1) JavaScript/TypeScript, Angular 2) API, Axios, WebSocket 3) Express.js, RESTful, GraphQL APIs 4) PostgreSQL 5) JWT, OAuth 6) Redis 7) Azure Cloud Azure Functions & Azure Service - 1) Event triggers and bindings - Trigger functions (HTTP requests, timers, queues, blob storage events, etc.) and use input/output bindings 2) Integrations - Azure Functions & Azure services (Event Grid, Service Bus, Cosmos DB) 3) Security - OAuth, API keys 4) Azure Data Services Azure Data Factory 5) Azure DevOps Services - Pipelines, Boards, Repos, Artifacts 6) Azure Integration Services - Service Bus, Event Grid Good to Have/Know - 1) Microsoft Certified: Azure Developer Associate or other relevant Azure certifications 2) Experience with containerization technologies like Docker and Kubernetes 3) Knowledge of serverless architectures (e.g., Azure Functions) 4) Familiarity with testing frameworks (e.g., Jasmine, Karma for Angular; Jest, Mocha for Node.js)

.net API Developer Grade G4 G5 Job Description: 1. Responsible for developing APIs for reinsurance placements and other processes with external parties. The Sr. API developer will be responsible for designing and building Enterprise APIs to grow and support digital footprint. 2. Lead the development of new application components using the Microsoft technology stack - You will also be in charge of implementation, documentation, and integration of a variety of software platforms through the REST API framework 3. Create technical specifications based on functional requirements and industry based best practices. Required Qualifications Good understanding of and experience in working on Microsoft Azure (IAAS) 6 to 8 years as a ASP.Net Core programmer Ability to work with Architect in designing application architecture Extensive experience on .NET (especially Web APIs, ORM, etc.) Experience developing applications using Azure PaaS services including Azure Insights, Azure Functions, Azure Key Vault, Azure Logic App, Azure Service Bus, Azure AKS, Azure Cosmos DB and Azure Storage Experience with database technologies and SQL proficient Ability to understand and analyze existing applications and provide guidance on major enhancements. Experience leading a team of developers and QAs. Ability to troubleshoot issues and provide resolution. Help team members to resolve technical issues. Experience into story point estimation. Experience into Agile project development 4+ years demonstrated strong knowledge and proficiency in the following development methodologies: o Object oriented development o Component based development o Design patterns

Shift Timings:12:30 pm to 9:30 pm Job Summary: We are hiring a Full-time Azure Developer to join our growing technology team. This hybrid role offers the opportunity to work in-office for 4 days and remotely for 1 day each week. The ideal candidate will be experienced in developing cloud-native applications using Azure PaaS services such as Azure Functions, Logic Apps, Cosmos DB, Service Bus, and API development using .NET. Key Responsibilities: Design, develop and implement technical solutions in Microsoft Azure environments using .NET and other programming languages Work with business analysts and end users to define system requirements Work with the functional testers to ensure accuracy and solution integrity Frequently communicate with users, and team members during program development to review progress and ensure that requirements have been met. Evaluate best approach to solve problems Present solutions and recommendations to stakeholders. Provide technical training and mentoring to other teams and team members Requirements: Excellent Written/Oral communication skills in English Minimum 2 years of development experience is required on below technologies: o Azure Logic Apps o Azure Service Bus Design, develop, and deploy scalable and secure cloud solutions using Microsoft Azure PaaS services. Create and manage Azure Functions, Logic Apps, and App Services to support business workflows. Develop and integrate RESTful APIs using .NET/.NET Core (C#) with backend services. Work with Cosmos DB for scalable, distributed data storage and querying. Implement messaging and event-driven solutions using Azure Service Bus. Follow best practices for coding, security, performance tuning, and Azure resource management. Leverage Azure DevOps for version control, CI/CD pipelines, and automated deployments. Collaborate with cross-functional teams including architects, testers, and business analysts. Monitor and troubleshoot deployed applications using Azure Monitor, Application Insights, and Log Analytics. Document code, architecture, and processes in a clear and maintainable format. Required Skills: 4+ years of hands-on development experience on Microsoft Azure. Strong expertise in: Azure Functions Azure Logic Apps Azure Cosmos DB Azure Service Bus Azure API Management C# .NET .NET Core RESTful API Development Experience with other Azure PaaS Services like App Services, Key Vault, Storage Accounts, etc. Good understanding of CI/CD, source control (Git), and Azure DevOps pipelines. Strong debugging, performance tuning, and problem-solving skills. Solid understanding of cloud security, authentication (OAuth, Azure AD), and RBAC. Preferred Qualifications: Microsoft Certifications such as AZ-204 (Azure Developer) or AZ-400 (DevOps Engineer). Knowledge of Infrastructure as Code using ARM templates or Bicep. Familiarity with Agile methodologies and modern software development practices. Work Culture & Benefits: Hybrid work setup: 4 Days in Office, 1 Day Remote Competitive salary and performance-based bonuses Collaborative, inclusive, and growth-driven work environment Opportunity to work on enterprise-grade Azure projects with cutting-edge tools How to Apply: Please share your updated resume along with the following details: Total Experience Current CTC Expected CTC Notice Period Current Location Mandatory Key Skills API development,.NET.,Azure PaaS services,ARM templates,Azure DevOps,CI/CD,RESTful API Development,Azure*,Logic Apps*,Cosmos DB*,Service Bus*

Role Overview: As an AWS Senior Developer at PwC - AC, you will collaborate with the Offshore Manager and Onsite Business Analyst to comprehend the requirements and take charge of implementing end-to-end Cloud data engineering solutions such as Enterprise Data Lake and Data hub in AWS. Your role will involve showcasing strong proficiency in AWS cloud technology, exceptional planning and organizational skills, and the ability to work as a cloud developer/lead in an agile team to deliver automated cloud solutions. Key Responsibilities: - Proficient in Azure Data Services, Databricks, and Snowflake - Deep understanding of traditional and modern data architecture and processing concepts - Proficient in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services - Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines using Python / Java - Building stream-processing systems with solutions like Storm or Spark-Streaming - Designing and implementing scalable ETL/ELT pipelines using Databricks and Apache Spark - Optimizing data workflows and ensuring efficient data processing - Understanding big data use-cases and Lambda/Kappa design patterns - Implementing Big Data solutions using Microsoft Data Platform and Azure Data Services - Exposure to Open-Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search - Driving adoption and rollout of Power BI dashboards for finance stakeholders - Well-versed with quality processes and implementation - Experience in Application DevOps tools like Git, CI/CD Frameworks, Jenkins, or Gitlab - Guiding the assessment and implementation of finance data marketplaces - Good communication and presentation skills Qualifications Required: - BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA - Certification on AWS Architecture desirable - Experience in building stream-processing systems with Storm or Spark-Streaming - Experience in Big Data ML toolkits like Mahout, SparkML, or H2O - Knowledge in Python - Worked in Offshore / Onsite Engagements - Experience in AWS services like STEP & Lambda - Good Project Management skills with consulting experience in Complex Program Delivery - Good to have knowledge in Cloud - AWS, GCP, Informatica-Cloud, Oracle-Cloud, Cloud DW - Snowflake & DBT Additional Details: Travel Requirements: Travel to client locations may be required as per project requirements. Line of Service: Advisory Horizontal: Technology Consulting Designation: Senior Associate Location: Anywhere in India Apply now if you believe you can contribute to PwC's innovative and collaborative environment, and be a part of a globally recognized firm dedicated to excellence and diversity.,

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Java Full Stack Development Good to have skills : Spring Boot Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will be a member of Group HR Technology within the Group Operations & Technology Office (GOTO), which is simplifying and digitizing our HR application landscape along our technology strategy. Together with your colleagues you will be focusing on providing and building Human Resources-related solutions to provide the best candidate & employee experience throughout the whole lifecycle. Roles & Responsibilities:-Design, develop, and improve the digital products and technology services we provide to our internal clients and employees.-Apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment.-Ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements.-Build observability into our solutions to monitor production health, help to resolve incidents, and remediate the root cause of risks and issues.-Continuously up-skill, learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.Professional & Technical Skills: - High proficiency and 8+yrs of technical experience in programming languages:Java- Experience in REST API Design- Experience in GraphQL Schema DesignExperience with NoSQL Data Modeling (Azure Cosmos NoSQL)- Experience in Data Streaming (Confluent Kafka)- Experience with Spring Boot, Spring Batch, Spring Cloud- Hands-on experience in Authentication and Authorization (OAuth 2.0, MSFT EntraID)- Familiar with Azure Cloud Services (App Services, Azure Monitor, API Management, etc) Additional Information:- The candidate should have minimum 5 years of experience in Java Full Stack Development.- A 15 years full time education is required. Qualification 15 years full time education

12+ years experience working in an IT environment 12+ years experience as a software developer using the following development languages: C#, .NET core 8+ year experience in Microsoft Azure functions 8+ years experience using Microsoft Visual Studio 8+ years experience using a relational database (e.g. Microsoft SQL Server, Oracle, etc.) 6+ year experience using Azure Cosmos DB or a NoSQL database Demonstrated project experience regarding estimates, planning and deliverables with a high degree of accountability. Proven ability working with business, engineering and R&D teams to translate needs to Application Development teams Excellent communication skills Work Location: Bangalore

Responsibilities: Design and deliver training programs for Azure technologies. Collaborate with stakeholders on learning needs analysis. Ensure knowledge transfer through interactive sessions. Design & Solution Architecture/ Architecture Enablement Food allowance Health insurance Provident fund Annual bonus

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: Azure Data Factory . Experience: 5-8 Years .

Connects- We are hiring for .Net Azure Full Stack Developer with 6+ years of experience to join our team immediately. Responsiblities: Experience working with Microsoft .Net technologies; experience working with reactJs Excellent knowledge of Front-end frameworks/libraries - React JS Extensive experience in web development, application development, component development using Microsoft technologies like .Net Framework 4.6+, .Net Core, C#, ASP.NET MVC 5, ASP.NET, ADO.NET, XML and Web Services. Good knowledge of technologies and frameworks like Microsoft .Net framework (.Net Core), ASP.Net (MVC), C#, Entity Framework Knowledge of Modern authentication mechanisms on Azure (MFA, Client credentials, OBO, and the like) Middleware integration mechanisms like MuleSoft, and API Gateway Leverage and use Architecture artifacts, design & patterns to develop solutions for high-performance along with managing and reviewing all software source code, branching & merging, configuration management, and build & deployment processes for multiple environments. Excellent oral and written communication skills and the ability to clearly articulate to all project members and stakeholders. If interested in the above requirement, please reply with the below requested details to deepankumar.j@htcinc.com at the earliest. Total Exp- Exp in .Net Core- Exp in Azure- Exp in React- Exp in Entity Framework- Official Notice Period- Last working date(if any):- Current CTC- Expected CTC- Offers Holding any- Current Location- Preferred Location- Interested for 3 Days Work from Office? - Date of Birth(DOB)- F2F Availability- Alternate Mobile No-Any Gap in Carrier / Education- Interested in (2 PM - 10:30 PM Shift)- Thanks Deepan - TA Team deepankumar.j@htcinc.com

Job Title : Senior AI Engineer - Developer Experience Required : 3 - 5 Years About Happiest Minds: Happiest Minds is a next-generation digital transformation and IT services company. We specialize in helping businesses harness the power of innovative technology to improve efficiency and enhance customer experiences. Our commitment to staying at the cutting edge of technology drives us to seek talented individuals who share our passion for excellence. Job Description: We are seeking a Senior AI Engineer - Developer to join our dynamic team at Happiest Minds. The ideal candidate will have a solid background in software development with a strong focus on AI applications and frameworks. You will be responsible for designing, implementing, and maintaining AI-driven solutions that leverage cloud technologies to deliver exceptional value to our clients. Key Responsibilities: - Design, develop, and implement AI applications and algorithms that meet business requirements. - Collaborate with cross-functional teams to understand project requirements and integrate AI solutions. - Utilize Spring and Spring Boot for building scalable and efficient applications. - Work with cloud services, specifically Azure App Service and AWS (Lambda, S3), to deploy and manage AI solutions. - Manage and interact with databases such as MySQL and Azure Cosmos DB for data storage and retrieval. - Conduct code reviews to ensure code quality and adherence to best practices. - Stay updated on emerging technologies and industry trends to integrate into solutions as applicable. - Troubleshoot and resolve issues in existing AI solutions and applications. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Minimum of 3 years and maximum of 5 years of relevant experience in software development. - Strong proficiency in Java with experience in Spring and Spring Boot frameworks. - Hands-on experience with cloud platforms, specifically Azure (Azure App Service, Azure Cosmos DB) and AWS (Lambda, S3). - Solid understanding of database management and querying with MySQL. - Experience in deploying AI models and applications in production environments. - Excellent problem-solving skills and ability to work independently or as part of a team. - Effective communication skills, both verbal and written. What We Offer: - Competitive salary and benefits package. - A collaborative and innovative work environment. - Opportunities for professional growth and development. - A chance to work on cutting-edge technologies and impactful projects.

Job Title: Senior AI Engineer - Developer Experience: 3 - 5 years About Us : At Happiest Minds, we believe in harnessing the power of technology to create innovative solutions that drive business value and enhance customer experiences. As a vibrant and forward-thinking organization, we are committed to fostering a culture of growth and creativity. Join us to be part of a team that is redefining the future of technology. Job Overview: We are looking for a skilled and passionate Senior AI Engineer - Developer to join our team. The ideal candidate will have 3 to 5 years of experience in developing cutting-edge AI solutions and will be responsible for designing, implementing, and maintaining AI-driven applications. This role requires strong expertise in ASP.NET Web API, Azure services, and NoSQL databases, enabling our company to deliver exceptional AI solutions to our clients. Key Responsibilities: - Design, develop, and deploy applications using ASP.NET Web API. - Implement and manage applications on Azure App Service for seamless integration and performance. - Utilize Azure Storage and Azure Cosmos DB to efficiently handle large volumes of data. - Work with MongoDB for flexible and scalable data storage solutions. - Collaborate with cross-functional teams to define, design, and deliver innovative AI solutions. - Optimize applications for maximum speed and scalability. - Conduct code reviews and provide constructive feedback to team members. - Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain cutting-edge. - Troubleshoot and resolve performance issues, bugs, and bottlenecks in applications. Required Skills and Qualifications: - Bachelor’s degree in Computer Science, Engineering, or a related field. - 3 to 5 years of professional experience in software development, with a focus on AI solutions. - Strong expertise in ASP.NET Web API development. - Hands-on experience with Azure App Service, Azure Storage, and Azure Cosmos DB. - Proficiency in MongoDB, with a solid understanding of NoSQL database concepts. - Familiarity with machine learning frameworks and AI methodologies. - Strong problem-solving skills and a meticulous attention to detail. - Excellent communication and collaboration skills. - Ability to work independently and as part of a team in a fast-paced environment. What We Offer: - A dynamic and inclusive work environment. - Opportunities for professional growth and advancement. - Comprehensive benefits package, including health, retirement, and wellness programs. - Work-life balance

The Team Our team is on an exciting journey to build Kensho SparkAssist, S&P Globals internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. Whats in it for you: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments. Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies. Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward. Responsibilities: Develop clean, high-quality Python code that is easy to read and maintain. Solve complex problems by analyzing and isolating issues efficiently. Champion best practices in coding and serve as a subject matter expert. Design and implement solutions to support key business needs. Engineer components and common services using Python. Produce system design documents and lead technical walkthroughs. Collaborate effectively with both technical and non-technical partners to achieve project goals. Continuously improve the architecture to enhance system performance and scalability. Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement Basic Qualifications: 5+ years of experience in designing and building solutions using distributed computing. Proven experience in implementing and maintaining web applications in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design. Experience with CI/CD pipelines to automate the deployment and testing of software. Proficient programming skills in high-level languages, particularly Python. Solid knowledge of cloud platforms such as Azure and AWS. Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL Ability to quickly define and prototype solutions with continual iteration within challenging timelines. Strong communication and documentation skills for both technical and non-technical audiences. Generative AI Expertise: Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures. Embedding Techniques: Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems. Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis. Preferred Qualifications: Machine Learning and NLP: Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions. Cloud Platforms: Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Collaboration and Leadership: Ability to lead, train, and mentor team members effectively. Proven experience of working with Kensho SparkAssist for your daily workflows as well as being a Owner or Co-Owner Working on inner-source and open-source AI projects and libraries.

**Job Title:** Data Architect - Azure Data Engineering **Company:** Happiest Minds **Location:** Bangalore **Job Type:** Full-Time **Minimum Years of Experience:** 10 **Maximum Years of Experience:** 15 --- **About Happiest Minds:** At Happiest Minds, we are committed to providing innovative digital transformation solutions that empower businesses and enhance user experiences. We value creativity, collaboration, and a commitment to quality, and we are seeking like-minded individuals who are passionate about leveraging technology to drive positive change. --- **Job Description:** We are looking for an experienced **Data Architect** with a deep understanding of data management and analytics to join our dynamic team. As a Data Architect at Happiest Minds, you will play a crucial role in designing, creating, and managing our data solutions to support business initiatives and improve data-driven decision-making capabilities. **Key Responsibilities:** - Design and implement scalable data architectures that leverage modern data platforms and technologies. - Develop, optimize, and maintain data pipelines using PySpark and Azure Databricks. - Utilize Azure Cloud Services and Azure Cosmos DB for data storage, processing, and analysis. - Collaborate with cross-functional teams to understand data requirements and ensure data solutions align with business objectives. - Manage the lifecycle of data management practices, including data collection, mining, and governance. - Ensure data quality, integrity, and security across all data solutions. - Stay current with industry trends and emerging technologies to inform best practices in data architecture. - Mentor other team members and promote a culture of learning and innovation within the team. **Required Skills and Qualifications:** - Minimum of 10 years and a maximum of 15 years of experience in data architecture, data management, or related fields. - Proficiency in PySpark for big data processing and analytics. - Extensive experience with Azure Databricks for data engineering and analytics. - Strong understanding of Azure Cloud Services, including Azure Data Lake, Azure Data Factory, and Azure Machine Learning. - Experience with Azure Cosmos DB for building and managing globally distributed databases. - Solid background in data management, data mining, and data collection techniques. - Familiarity with data governance and compliance frameworks. - Excellent problem-solving skills and the ability to communicate complex concepts to technical and non-technical stakeholders. - A bachelor's or master's degree in Computer Science, Information Technology, or a related field is preferred. **Why Join Happiest Minds?** - Work with a talented and diverse team of professionals who are passionate about technology and innovation. - Opportunity for professional growth and development in a dynamic and empowering environment. - Competitive salary and benefits package. - Flexibility and work-life balance. --- **How to Apply:** If you are a seasoned Data Architect with a passion for data and a desire to make a significant impact, we invite you to apply. Please send your resume and a cover letter to [Insert Application Email] or apply through our careers page: [Insert Careers Page Link]. Happiest Minds is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us in our mission to create a happier and smarter world through technology! Roles and Responsibilities **Job Title:** Data Architect - Data **Company Name:** Happiest Minds **Experience Required:** 10 to 15 years **Roles and Responsibilities:** 1. **Data Architecture Design:** - Lead the design and implementation of scalable data architectures to support data initiatives. - Define data modeling and data integration strategies aligned with business requirements. 2. **Technology Implementation:** - Utilize Azure Cloud Services to build and deploy data solutions that are efficient and secure. - Implement and optimize data pipelines using PySpark and Azure Databricks to process large datasets. 3. **Data Management:** - Oversee data management strategies, including data collection, mining, storage, and retrieval. - Ensure high data quality and integrity through the establishment of robust data governance practices. 4. **Database Development:** - Design and manage data solutions on Azure Cosmos DB to meet evolving business needs. - Monitor and enhance database performance, ensure availability, and implement backup and recovery procedures. 5. **Collaboration and Leadership:** - Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. - Provide technical leadership and mentoring to junior team members in data-related technologies and best practices. 6. **Data Strategy:** - Develop and execute data strategies that drive business intelligence and analytics capabilities within the organization. - Assess and recommend tools and technologies for improving data processes and workflows. 7. **Continuous Improvement:** - Stay up-to-date with emerging technologies and industry trends in data architecture and cloud services. - Proactively identify areas for improvement and implement solutions that enhance data processing efficiencies. 8. **Documentation and Reporting:** - Create comprehensive documentation of data architectures, workflows, and processes. - Report on the status of data initiatives and provide updates to stakeholders on project developments. **Required Skills:** - Minimum of 10 years of experience in data architecture and management. - Proficiency in PySpark and Azure Databricks for big data processing. - Expertise in Azure Cloud Services and Azure Cosmos DB. - Strong understanding of data management, mining, and collection techniques. - Excellent problem-solving skills and ability to work collaboratively in a team environment. **Preferred Qualifications:** - Experience in a leadership role within data architecture projects. - Familiarity with data governance frameworks and best practices. - Strong analytical skills and the ability to communicate complex technical concepts to non-technical stakeholders. **Why Join Happiest Minds?** - Be part of a dynamic and innovative team committed to leveraging data for impactful business outcomes. - Opportunity for professional growth and continuous learning in cutting-edge data technologies.

The Team Our team is on an exciting journey to build Kensho Spark Assist, S&P Globals internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. What You Stand to Gain: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments. Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies. Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward. Responsibilities: Develop clean, high-quality Python code that is easy to read and maintain. Solve complex problems by analyzing and isolating issues efficiently. Champion best practices in coding and serve as a subject matter expert. Design and implement solutions to support key business needs. Engineer components and API functions using Python. Produce system design documents and lead technical walkthroughs. Collaborate effectively with both technical and non-technical partners to achieve project goals. Continuously improve the architecture to enhance system performance and scalability. Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement. Basic Qualifications: 8+ years of experience in designing and building solutions using distributed computing. Proven experience in implementing and maintaining web applications in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design. Experience with CI/CD pipelines to automate the deployment and testing of software. Proficient programming skills in high-level languages, particularly Python. Solid knowledge of cloud platforms such as Azure and AWS. Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL Ability to quickly define and prototype solutions with continual iteration within challenging timelines. Strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Generative AI Expertise: Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures. Embedding Techniques: Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems. Machine Learning and NLP: Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions. Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis. Cloud Platforms: Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Collaboration and Leadership: Ability to lead, train, and mentor team members effectively.

Role & responsibilities Total IT Experience 6 to 12 years with in-depth knowledge and hands-on experience in C#, ASP.NET MVC, web Api, Unit testing and React / Angular. Strong experience and in-depth knowledge in .Net Core, C#, ASP.NET Core, Webapi, EF Core, ASP .Net MVC, REST AP Design and Implementation. 2+ years in designing applications, applying design patterns and principles. • 2+ years of experience in RESTful Http services design using Swagger/Open API, Implementation, API Security, Governance, Microservice principles and implementation. Strong experience in serverless architecture and implementation using Azure Functions, Logic Apps etc. Strong experience in cloud native app development and integration services i.e., Function, Logic Apps, API Manager, Service Bus, Event Grid, Even Hub, Storage, Caching. etc. Strong experience in Azure deployment, monitoring and operation automation using services (App Service, AKS, VM, DevOps. etc.) Good to have Azure services: Load Balancer, VM, Infra Automation, Routing... Etc... 2+ years of experience with SQL Server / PostgreSQL / MySQL or any RDBMS integration using EF Core and SQL tasks i.e., writing stored procedures, complex SQLs, performance tuning, handling transactions. Strong experience in Java script, jQuery, Bootstrap, Html 5, CSS3 • Strong experience in unit testing, mocking frameworks, integration testing and code quality tools and frameworks. Working knowledge of Webpack, CLI and Agile Scrum framework • Strong in unit testing and integration testing. Good to have knowledge in one of the cloud platforms like AWS/GCP/PCF • Familiar with Continuous Integration methodologies and tools, including Jenkins. Good to have: Exposure to Microservices, Docker and Kubernetes. • Excellent Communication and Presentation skills.

The Senior Cloud Network Administrator is responsible for managing and operating the organization's Azure and AWS cloud-based network infrastructure. This role involves building and managing Azure ExpressRoute, AWS Direct Connect, virtual networks, DMZs, cloud firewalls, and proxies to ensure the stability, integrity, and efficient operation of the cloud-based information systems that support core organizational functions. The administrator will also handle day-to-day incidents, changes, and problem records, and should have experience with ITSM processes and tools such as ServiceNow or similar. Responsibilities: Build, manage, and maintain the company's Azure and AWS cloud-based infrastructure. Establish and manage Azure ExpressRoute and AWS Direct Connect to ensure secure and reliable network connectivity. Design and implement virtual networks within Azure and AWS environments. Build and manage DMZs in Azure and AWS to provide an additional layer of security. Implement and manage cloud native and 3rd party firewalls to protect cloud-based resources. Set up and manage proxies to control and secure internet access. Enable and configure monitoring for cloud network infrastructure. Monitor alerts and address issues promptly to ensure minimal disruption to services. Handle day-to-day incidents, changes, and problem records, ensuring they are resolved within SLAs. Use ITSM processes and tools such as ServiceNow to manage incidents, changes, and problem records. Create and maintain comprehensive documentation of the cloud-based infrastructure. Technical skills Network Architecture: Understanding of network infrastructure including routers, switches, firewalls, and associated network protocols and concepts. Proficiency in Azure and AWS cloud services: The administrator should have a deep understanding of Azure and AWS network related services, including Azure ExpressRoute, AWS Direct Connect, virtual networks, DMZs, cloud firewalls, and INAC proxies. Proficiency in Problem-Solving: Strong problem-solving skills are needed to troubleshoot and resolve issues that arise in the cloud infrastructure. Network Monitoring Tools: Experience with network monitoring tools such as Wireshark, iPerf, etc. Basic Network Security: Knowledge of network security measures, firewalls, intrusion detection systems, and other industry-standard techniques and practices. IT Service Management (ITSM): Experience with ITSM processes and tools such as ServiceNow is crucial for managing incidents, changes, and problem records. Certifications: Certifications such as CCNA, CCNP, Azure Administrator Associate, AWS Certified SysOps Administrator, or similar can demonstrate a high level of technical proficiency. Qualifications: Bachelors degree in computer science, Information Technology, or a related field. Overall 5+ years real experience as Senior Cloud Network Administrator and troubleshooting network incidents and problems. Experience with Azure and AWS cloud network services and understanding of network architecture. Excellent written and verbal communication skills to collaborate with cross-functional teams and communicate technical information to non-technical stakeholders. Certifications such as CCNA, CCNP, Azure Administrator Associate, AWS Certified SysOps Administrator, or similar are advantageous.

Your Role Develop and deploy Generative AI models using Azure OpenAI (GPT, Codex, DALLE). Implement RAG pipelines using Azure AI Search and vector databases. Design and validate solution architectures for LLM-based applications. Build APIs and microservices to integrate AI models into business workflows. Use tools like LangChain, Semantic Kernel, or similar for orchestration. Monitor and optimize model performance, latency, and cost. Collaborate with data scientists, software engineers, and product teams. Ensure compliance with data privacy, security, and responsible AI guidelines. Your Profile Strong experience with Azure cloud services (Azure OpenAI, Azure Functions, Azure AI Search). Proficiency in Python and frameworks like LangChain or Semantic Kernel. Experience with MLOps tools (e.g., MLflow, Azure ML). Familiarity with LLMs (GPT, LLaMA, Claude) and GenAI concepts. Knowledge of vector databases (e.g., FAISS, Pinecone, Azure Cosmos DB). Understanding of NLP, prompt engineering, and model fine-tuning. Experience with containerization (Docker) and CI/CD pipelines. What you"ll love about working here Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

About The Role Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Your experience and skills You must have: Minimum 8 years experience as an Azure application developer. Expert in programming C# with MS Visual Studio with front-to-back development skills in Angular/React and .NET. Strong experience with Azure Functions and developing Azure Function Apps. Expert-level knowledge of Azure Cosmos DB and MS SQL Server. MS Graph API experience. Full understanding and appreciation for the DevOps process, subscriptions, build pipelines. Experience with Terraform and ARM templates for infrastructure as code. Detailed understanding of OAuth, token management, identity services, app registrations, HashiCorp integration. Experience working in an Agile environment, SDLC deployment processes, and change management in a regulated environment. Nice to have: Office 365- detailed understanding of M365 access and entitlements model for Teams, SharePoint Online, groupified and standalone sites, link permissions etc. SharePoint development experience using CSOM + REST Mandatory Skills: FullStack Microsoft .NET Smart Web App . Experience5-8 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Connects- We are hiring for .Net Azure Full Stack Developer with 6+ years of experience to join our team immediately. Responsiblities: Experience working with Microsoft .Net technologies; experience working with reactJs Excellent knowledge of Front-end frameworks/libraries - React JS Extensive experience in web development, application development, component development using Microsoft technologies like .Net Framework 4.6+, .Net Core, C#, ASP.NET MVC 5, ASP.NET, ADO.NET, XML and Web Services. Good knowledge of technologies and frameworks like Microsoft .Net framework (.Net Core), ASP.Net (MVC), C#, Entity Framework Knowledge of Modern authentication mechanisms on Azure (MFA, Client credentials, OBO, and the like) Middleware integration mechanisms like MuleSoft, and API Gateway Leverage and use Architecture artifacts, design & patterns to develop solutions for high-performance along with managing and reviewing all software source code, branching & merging, configuration management, and build & deployment processes for multiple environments. Excellent oral and written communication skills and the ability to clearly articulate to all project members and stakeholders. If interested in the above requirement, please reply with the below requested details to deepankumar.j@htcinc.com at the earliest. Total Exp- Exp in .Net Core- Exp in Azure- Exp in React- Exp in Entity Framework- Official Notice Period- Last working date(if any):- Current CTC- Expected CTC- Offers Holding any- Current Location- Preferred Location- Interested for 3 Days Work from Office? - Date of Birth(DOB)- F2F Availability- Alternate Mobile No-Any Gap in Carrier / Education- Interested in (2 PM - 10:30 PM Shift)- Thanks Deepan - TA Team deepankumar.j@htcinc.com

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Conversational Text AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs, multi-system integrations. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Conversational Text AI Platform: Build and maintain Conversational Text AI system using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process. Develop core infrastructure and reusable components to support the deployment of conversational AI systems. Work on orchestration, prompt engineering, and LLM-powered integrations. Implement scalable solutions integrated with respective echo systems and enterprise data platforms. Contribute to the design of modular, extensible, enterprise-grade architectures. Fine-tune & optimization for speed, accuracy, performance and maintainability across business units. Contribute to CI/CD automation and maintain operational stability of application services.Generative AI & Model Optimization: Fine-tune LLMs/SLMs with proprietary NBFC data. Perform distillation, quantization of LLMs for edge deployment. Evaluate and run LLM/SLM models on local/edge server machines.Self-Learning Frameworks: Build self-learning systems that adapt without full retraining (e.g., learn new rejection patterns from calls). Implement lightweight local models to enable real-time learning on the edge. Key Decisions / Dimensions Platform Design & Delivery, Model Selection, Customization (if any) & Testing: Choosing the right model for various task and actions. Selecting appropriate model so that tasks can complete in efficient manner. Defining reusable components in the platform. Delivery using configuration approach should be first preference, in case that does not work should go for customization. Defining configuration parameters and incorporate them as platform design. Testing and end to end testing of the project deliverable. Load balancing between different models. Always have switch on/switch off feature. Must have all services backed up on primary/HA & DR servers.Prompt Engineering: Prompt Design & Development: Crafting prompts that guide AI systems to produce desired outputs for various applications, such as text generation, translation, question answering, and creative writing. Testing and Evaluation: Analysing the effectiveness of prompts and refining them based on results to ensure accurate and relevant responses. Bias Mitigation: Designing prompts that minimize bias and ensure fair and equitable outcomes from AI systems. Major Challenges Support from other platform owners Building a Conversational Text AI BOT that doesn't just answer but negotiates with human-like reasoning. Running large AI models in low-latency, low-bandwidth environments without cloud dependency. Getting the end-to-end domain knowledge Managing data and information security of the application. Required Qualifications and Experience Educational Qualifications Educational Background: Bachelors or Masters degree in computer science, Engineering, or a related field. Experience: 47 years of experience in AI/ML, with exposure to Python, Node.JS, JavaScript, HTML/CSS, Redis, Postgres, Azure COSMOS, DevOps, CI/CD. Strong programming s in languages such as Python, Node.JS, JavaScript, HTML/CSS. Familiarity with Redis, Postgres, Vector Embeddings, Speech-to-Text & Text-to-Speech Services, Azure COSMOS, DevOps, CI/CD, Lang-Chain or Lang-Graph. Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows Strong understanding of prompt engineering, tool calling, and agent orchestration.

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Conversational Text AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs, multi-system integrations. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Conversational Text AI Platform: Build and maintain Conversational Text AI system using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process. Develop core infrastructure and reusable components to support the deployment of conversational AI systems. Work on orchestration, prompt engineering, and LLM-powered integrations. Implement scalable solutions integrated with respective echo systems and enterprise data platforms. Contribute to the design of modular, extensible, enterprise-grade architectures. Fine-tune & optimization for speed, accuracy, performance and maintainability across business units. Contribute to CI/CD automation and maintain operational stability of application services.Generative AI & Model Optimization: Fine-tune LLMs/SLMs with proprietary NBFC data. Perform distillation, quantization of LLMs for edge deployment. Evaluate and run LLM/SLM models on local/edge server machines.Self-Learning Frameworks: Build self-learning systems that adapt without full retraining (e.g., learn new rejection patterns from calls). Implement lightweight local models to enable real-time learning on the edge. Key Decisions / Dimensions Platform Design & Delivery, Model Selection, Customization (if any) & Testing: Choosing the right model for various task and actions. Selecting appropriate model so that tasks can complete in efficient manner. Defining reusable components in the platform. Delivery using configuration approach should be first preference, in case that does not work should go for customization. Defining configuration parameters and incorporate them as platform design. Testing and end to end testing of the project deliverable. Load balancing between different models. Always have switch on/switch off feature. Must have all services backed up on primary/HA & DR servers.Prompt Engineering: Prompt Design & Development: Crafting prompts that guide AI systems to produce desired outputs for various applications, such as text generation, translation, question answering, and creative writing. Testing and Evaluation: Analysing the effectiveness of prompts and refining them based on results to ensure accurate and relevant responses. Bias Mitigation: Designing prompts that minimize bias and ensure fair and equitable outcomes from AI systems. Major Challenges Support from other platform owners Building a Conversational Text AI BOT that doesn't just answer but negotiates with human-like reasoning. Running large AI models in low-latency, low-bandwidth environments without cloud dependency. Getting the end-to-end domain knowledge Managing data and information security of the application. Required Qualifications and Experience Educational Qualifications Educational Background: Bachelors or Masters degree in computer science, Engineering, or a related field. Experience: 47 years of experience in AI/ML, with exposure to Python, Node.JS, JavaScript, HTML/CSS, Redis, Postgres, Azure COSMOS, DevOps, CI/CD. Strong programming s in languages such as Python, Node.JS, JavaScript, HTML/CSS. Familiarity with Redis, Postgres, Vector Embeddings, Speech-to-Text & Text-to-Speech Services, Azure COSMOS, DevOps, CI/CD, Lang-Chain or Lang-Graph. Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows Strong understanding of prompt engineering, tool calling, and agent orchestration.

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Conversational Text AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs, multi-system integrations. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Conversational Text AI Platform: Build and maintain Conversational Text AI system using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process. Develop core infrastructure and reusable components to support the deployment of conversational AI systems. Work on orchestration, prompt engineering, and LLM-powered integrations. Implement scalable solutions integrated with respective echo systems and enterprise data platforms. Contribute to the design of modular, extensible, enterprise-grade architectures. Fine-tune & optimization for speed, accuracy, performance and maintainability across business units. Contribute to CI/CD automation and maintain operational stability of application services.Generative AI & Model Optimization: Fine-tune LLMs/SLMs with proprietary NBFC data. Perform distillation, quantization of LLMs for edge deployment. Evaluate and run LLM/SLM models on local/edge server machines.Self-Learning Frameworks: Build self-learning systems that adapt without full retraining (e.g., learn new rejection patterns from calls). Implement lightweight local models to enable real-time learning on the edge. Key Decisions / Dimensions Platform Design & Delivery, Model Selection, Customization (if any) & Testing: Choosing the right model for various task and actions. Selecting appropriate model so that tasks can complete in efficient manner. Defining reusable components in the platform. Delivery using configuration approach should be first preference, in case that does not work should go for customization. Defining configuration parameters and incorporate them as platform design. Testing and end to end testing of the project deliverable. Load balancing between different models. Always have switch on/switch off feature. Must have all services backed up on primary/HA & DR servers.Prompt Engineering: Prompt Design & Development: Crafting prompts that guide AI systems to produce desired outputs for various applications, such as text generation, translation, question answering, and creative writing. Testing and Evaluation: Analysing the effectiveness of prompts and refining them based on results to ensure accurate and relevant responses. Bias Mitigation: Designing prompts that minimize bias and ensure fair and equitable outcomes from AI systems. Major Challenges Support from other platform owners Building a Conversational Text AI BOT that doesn't just answer but negotiates with human-like reasoning. Running large AI models in low-latency, low-bandwidth environments without cloud dependency. Getting the end-to-end domain knowledge Managing data and information security of the application. Required Qualifications and Experience Educational Qualifications Educational Background: Bachelors or Masters degree in computer science, Engineering, or a related field. Experience: 47 years of experience in AI/ML, with exposure to Python, Node.JS, JavaScript, HTML/CSS, Redis, Postgres, Azure COSMOS, DevOps, CI/CD. Strong programming s in languages such as Python, Node.JS, JavaScript, HTML/CSS. Familiarity with Redis, Postgres, Vector Embeddings, Speech-to-Text & Text-to-Speech Services, Azure COSMOS, DevOps, CI/CD, Lang-Chain or Lang-Graph. Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows Strong understanding of prompt engineering, tool calling, and agent orchestration.

The primary objective of this role is to design, develop, and maintain databases that meet the organization's requirements for storing and analyzing financial data. You will also be responsible for ensuring data integrity, security, and performance across various database platforms. Your tasks Design, develop, and optimize relational and non-relational databases to support the organization's financial data needs. Implement data models, schemas, and indexing strategies to optimize database performance and scalability. Collaborate with data engineering and software development teams to integrate database solutions into our applications and services. Perform database tuning, monitoring, and troubleshooting to ensure high availability and reliability. Implement data security measures, including access control and encryption, to protect sensitive financial information. Develop and maintain documentation for database design, configuration, and best practices. Stay current with emerging database technologies and trends to drive continuous improvement and innovation . You need to have Bachelor's degree in software engineering, Computer Science or a related field. Minimum 5+ years of experience as a database developer. Proven experience as a database developer or administrator, with expertise in relational databases such as MySQL and non-relational databases such as MongoDB, Elasticsearch, and Redis. Strong SQL skills and experience with database optimization techniques. Experience working with large datasets and complex data models in a financial or similar domain. Proficiency in database performance tuning, monitoring, and troubleshooting. Excellent problem-solving and analytical skills, with the ability to collaborate effectively in a team environment. Familiarity with data security best practices and compliance standards (e.g., GDPR, PCI DSS). Capability to work in multiple projects simultaneously. Experience with cloud-based database platforms such as Amazon RDS, Google Cloud SQL, or Azure Cosmos DB. Knowledge of distributed database systems and big data technologies (e.g., Hadoop, Spark). Experience with data warehousing solutions and ETL processes. Familiarity with DevOps practices and tools for database automation and CI/CD. Previous experience in the financial services industry or a similar regulated environment.

Seeking an experienced software engineer to develop highly visible and widely used tools, drivers and data integration products in the AstraDB, Apache Cassandra and DataStax Enterpriseecosystem. In this role, you will join a small team of talented engineers developing products that help developers succeed in efficiently delivering business value in high-scale applications. You will take ownership of projects and must be willing to jump in to help customers. What you will do : ? Participate in design and development of connectivity and data integration projects, including CQL drivers and analytics libraries for data pipelines (such as Cassandra Analytics) ? Integration work involving AstraDB, DSE, Apache Cassandra™, and other big data technologies, such as Apache Spark ? Resolve challenging and diverse customer issues ? Foster the development community surrounding both proprietary, and open source products ? As a team, own both development and quality aspects for all products ? Research and implement improvements of the product as well as the development infrastructure ? Perform regular code reviews ? Maintain product documentation, white papers, and educational materials ? Write technical blog posts relating to our technologies ? Ongoing education around relevant technologies Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise ?4+ years of experience in software engineering ?Deep Expertise in at least one of the high-level, multi-paradigm languages with a preference for Java, Go, and/or Python ?Experience with any distributed database (such as DataStax Enterprise, Apache Cassandra, Amazon DynamoDB, Azure CosmosDB, or other cloud native database products) ?Command of asynchronous and concurrent programming concepts ?Knowledge of high-performance, low-latency network programming ?Being comfortable working with and contributing to open-source projects Preferred technical and professional experience ?Familiarity with creating and running containerized applications ?Experience with cloud environments for build and deployment ?Experience with large scale data processing pipelines, such as Apache Spark ?Familiarity with cloud-native technologies (e.g. Kubernetes) and object storage systems (e.g., AWS S3, GCP GCS, Azure Blob) ?Effective technical experience with Git and GitHub ?Experience with Jenkins, GitHub Actions or other CI/CD systems ?Proven ability to collaborate well in a globally distributed team environment