341 Cosmos Jobs - Page 2

Job Title: Azure Architect Location: Remote Experience: 10+ Years JOB JOB description: Designing, implementing, and managing Azure cloud infrastructure as per clients business requirements. Excellent experience on PAAS services, Dynatrace implementation and monitoring, large cloud deployments, Native tools in Azure (Azure Monitor, Services Health and Azure Advisor) Architecting and Developing cloud solutions. Ensuring the security, scalability, and reliability of the Azure environment. Promoting and evangelizing Azure cloud computing. Working with IT professionals and other related team members. Strong understanding of features and capabilities of the Microsoft Cloud Platform (Security, Firewalls, RedisCache, Key Vault, Service Bus, ASR, Networking, OMS, Blob Storage, Resource Groups, NSG, Application Insights, SQL Server, Sql DB, Load-Balancers, front doors, Cosmos DB accounts, Terraform, Automation stuffs like using of PowerBi and PowerShell scripting). Understanding on Kubernetes architecture. Understanding of cost-saving strategies and implementation for IaaS and PaaS solutions. Continuously monitor cloud expenditures and identify opportunities to reduce costs without compromising performance or scalability. Identify automation opportunities to drive cost efficiencies across cloud environments. Drive architecture and technical discussion to lead cloud security, privacy, and compliance decisions scale, performance, agility, HA/DR considerations. Guide the team in setting up and managing monitoring and observability tools to ensure system reliability and performance. Implement CI/CD based application development methodology using tools like Jenkins/TFS/PowerShell. Work with clients to ensure smooth and successful implementation, delivery and deployment of complex solutions like Dynatrace, Finops, and IBM Turbonomic. Note: Preferably Microsoft Employee How to Apply: Interested professionals are invited to submit their resume and cover letter to vidhya.prabhakaran@HTCinc.com Please include "Azure Architect" in the subject line.

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 7+ Yrs total experience in Data Engineering projects & 4+ years of relevant experience on Azure technology services and Python Azure Azure data factory, ADLS- Azure data lake store, Azure data bricks, Mandatory Programming languages Py-Spark, PL/SQL, Spark SQL Database SQL DB Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc. Data Warehousing experience with strong domain Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Candidates must have experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems 10 - 15 years of experience in data engineering and architecting data platforms 5 – 8 years’ experience in architecting and implementing Data Platforms Azure Cloud Platform. 5 – 8 years’ experience in architecting and implementing Data Platforms on-prem (Hadoop or DW appliance) Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow. Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc Candidates should have experience in delivering both business decision support systems (reporting, analytics) and data science domains / use cases

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: Comprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proficient in .Net Core with React or Angular Experience in Agile teams applying the best architectural, design, unit testing patterns & practices with an eye for code quality and standards. AZURE FUNCTION, AZURE SERVICE BUS, AZURE STORAGE ACCOUNT- MANDATORY AZURE DURABLE FUNCTIONS AZURE DATA FACTORY, AZURE SQL OR COSMOS DB(DATABASE)Required Ability to write calculation rules and configurable consolidation rules Preferred technical and professional experience Excellent written and verbal interpersonal skills for coordinating across teams. Should have at least 2 end to end implementation experience. Ability to write and update the rules of historical override

We are looking for Senior MongoDB Developer to join our technology team at Clarivate. The successful candidate will be responsible for the design, implementation, and optimization of MongoDB databases to ensure high performance and availability, both on-premises and in the cloud. About You experience, education, skills and accomplishments At least 8 years of experience in NoSQL databases management such MongoDB (Primary), Azure CosmosDB and AWS DocumentDB, performance tuning, and architecture design. Bachelors degree in computer science, Information Technology, or a related field, or equivalent experience Proven work experience as a MongoDB/Cosmos/DocumentDB Performance, Data Modelling (Document), and Architecture Expert. Experience with database architecture and design to support application development projects. Knowledge of MongoDB/Cosmos/DocumentDB features such as Sharding and Replication. (IMP) Proficient understanding of code versioning tools such as Git. Experience with both on-premises and cloud-based database hosting. It would be great if you also had In-depth understanding of database architectures and data modelling principles Good knowledge of modern DevOps practices and the adoption in database development Experience in dealing with Data migrations from relational to NoSQL. What will you be doing in this role? Design and implement database schemas that represent and support business processes. Develop and maintain database architecture that supports scalability and high availability, both on-premises and in the cloud. Optimize database systems for performance efficiency. Monitor database performance and adjust parameters for optimal database speed. Implement effective security protocols, data protection measures, and storage solutions. Run diagnostic tests and quality assurance procedures. Document processes, systems, and their associated configurations. Working with DBAs and development teams to develop and maintain procedures for database backup and recovery. About the team: A Database Management Service team covers a wide range of tasks essential for maintaining, optimizing, and securing databases. One end of spectrum consists of infrastructure DBAs and the other end being DB specialists (SME) with a Devops mindsight and will partner heavily with the DBAs, Application and devops teams. We've a philosophy and open mindset to learning new technology that enhances the business objectives and we encourage and support growth across the team profile to become deeply knowledgeable in other Databases technologies. Hours of work This is a full-time opportunity with Clarivate. 9 hours per day including lunch break

Overview The Sustainability & Climate Engineering team is responsible for building and maintaining MSCI’s issuer-facing platform. This platform is strategically critical, serving as the interface between MSCI’s core data products and external issuers—supporting key datasets, with further expansions planned. The team ensures high availability, compliance with regulatory obligations and a seamless user experience through robust backend services and scalable architecture. Responsibilities Design, develop, and maintain scalable backend services using Java (Reactive programming) as part of the Data Provisioning application. Build and enhance event-driven flows using Azure Service Bus , and manage data workflows with Azure Cosmos DB . Collaborate closely with Product, QA, DevOps, and Frontend teams to implement new features, improve existing functionality, and ensure high system performance and reliability. Participate in system design discussions, code reviews, and continuous improvement efforts. Support regulatory and compliance features by ensuring traceability, data correctness, and issuer communication mechanisms. Ensure smooth deployment and monitoring of services on Azure App Services in collaboration with cloud infrastructure teams. Qualifications Strong experience with Java , particularly with Spring Boot and Reactive Java (e.g., Project Reactor, WebFlux) or similar reactive programming frameworks. Hands-on experience with Azure cloud services , especially Cosmos DB , Azure Service Bus , and deployment via Azure App Services . Experience in building and maintaining microservices architectures and asynchronous processing flows. Familiarity with Delta Tables , Spark , or Databricks is a plus. Strong problem-solving skills and ability to work in a collaborative, agile environment. Excellent communication skills and ability to partner effectively with cross-functional stakeholders. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

You are a Full-time Azure Developer joining a growing technology team with a hybrid work setup of 4 days in-office and 1 day remote each week. You will be responsible for designing, developing, and implementing technical solutions in Microsoft Azure environments using .NET and other programming languages. Working closely with business analysts and end users, you will define system requirements, ensure solution accuracy, and review progress during program development. You will evaluate the best approach to problem-solving, present solutions to stakeholders, and provide technical training to other teams. Your role requires excellent written and oral communication skills in English, with a minimum of 2 years experience in Azure Logic Apps, Azure Service Bus, and developing scalable cloud solutions using Azure PaaS services. You will create and manage Azure Functions, Logic Apps, and App Services, integrate RESTful APIs using .NET, work with Cosmos DB for data storage, and implement messaging solutions with Azure Service Bus. Following best practices for coding, security, and performance tuning is crucial, along with leveraging Azure DevOps for version control and automated deployments. Collaboration with cross-functional teams, monitoring deployed applications, and documenting processes are also key responsibilities. The ideal candidate will have 4+ years of hands-on development experience on Microsoft Azure, strong expertise in Azure Functions, Logic Apps, Cosmos DB, and Service Bus, along with proficiency in C#, .NET, .NET Core, and RESTful API development. Familiarity with CI/CD, Git, Azure DevOps, and cloud security is essential, as well as solid debugging and problem-solving skills. Preferred qualifications include Microsoft Certifications like AZ-204 or AZ-400, knowledge of Infrastructure as Code, and experience with Agile methodologies. In return, you can expect a competitive salary, performance-based bonuses, a collaborative and growth-driven work environment, and the opportunity to work on enterprise-grade Azure projects with cutting-edge tools. If you meet the requirements and are excited about this opportunity, please share your updated resume along with details of your total experience, current CTC, expected CTC, notice period, and current location. Skills required for this role include cloud security, CI/CD, Microsoft Azure, Azure Cosmos DB, OAuth, .NET, Azure AD, Cosmos, Azure, Git, RBAC, Azure Functions, Azure Service Bus, .NET Core, PaaS, Azure Logic Apps, C#, Azure API Management, Azure DevOps, and RESTful API development.,

Job Description: Key Responsibilities **Text Embeddings & NLP** -Must have 3+ Years of experience on traditional ML. -Must have 3+ Years of experience working as Data scientist. Design and implement pipelines leveraging text embeddings for semantic search, classification, clustering, and document retrieval. - Work with embedding techniques such as TF-IDF, Word2Vec, GloVe, FastText, and transformer-based models including BERT, Sentence-BERT, OpenAI, and Azure OpenAI embeddings. - Apply dimensionality reduction methods (PCA, t-SNE, UMAP) to analyze and visualize embedding spaces. - Use cosine similarity, Euclidean distance, and approximate nearest neighbor algorithms like FAISS and ScaNN for similarity search and clustering. - Integrate embedding outputs into downstream applications such as intent detection, topic modeling, semantic deduplication, document ranking, and retrieval systems. **Traditional Machine Learning & Statistical Modeling** - Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering. - Employ statistical inference techniques including hypothesis testing, confidence intervals, bootstrapping, Bayesian inference, multicollinearity diagnostics, residual analysis, and time series forecasting (ARIMA, SARIMA). - Evaluate model performance using ROC/Precision-Recall curves, AUC, confusion matrices, F1-score, lift/gain charts, and KS statistics. - Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability. **Experimentation & Causal Inference** - Design and analyze A/B and multivariate tests, DOE experiments, and sophisticated causal inference methods including propensity score matching, causal forests, and difference-in-differences. - Translate experimental results into clear, actionable business insights that drive measurable outcomes. **Data Engineering & Productionization** - Develop scalable data pipelines using PySpark, SQL, and Azure Data Factory on platforms including Azure Data Lake, Databricks, MongoDB, and Cosmos DB. - Deploy machine learning solutions with FastAPI, Docker containers, and Azure App Services endpoints, while monitoring model health with MLflow and model drift. **Collaboration & Leadership** - Partner effectively with engineering, product, and business teams to define problem statements and deliver impactful solutions. - Lead technical discussions, perform code reviews, and mentor junior data scientists to foster technical growth. - Communicate complex analytical insights clearly to both technical and non-technical stakeholders. Required Skills and Qualifications Hands-on experience in machine learning, statistical modeling, and NLP applications. - Deep expertise in text embeddings and their real-world applications. - Proficiency in Python, PySpark, and SQL. - Strong foundation in statistical inference, model diagnostics, and evaluation metrics. - Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models. - Proven ability to design, execute, and interpret experiments with statistical rigor. Preferred (Good-to-Have) Skills - Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs. - Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services. - Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems. Day-to-Day Responsibilities You will architect and implement advanced NLP and machine learning pipelines leveraging diverse text embeddings for semantic search, classification, and clustering tasks. Applying sound statistical modeling and causal inference techniques, you will lead experimentation efforts and build scalable data workflows using PySpark, SQL, and Azure services. Cross-functional collaboration will be a core part of your role as you translate analytical insights into strategic business outcomes.

vConstruct , a Pune based Construction Technology company seeks a Full Stack Tech Lead to develop our critical Enterprise Applications. Successful candidate will be part of a cross-functional team that will be responsible for the full software development lifecycle from the conception to the deployment. Responsibilities Understand and analyze the business requirements. Design and implementation of the overall application architecture. Ensure the design is built for speed and scalability. Conduct and participate in meetings with various levels of users and management Create high level estimate for the release to understand the size of the project Contribute to sprint grooming, planning meetings add necessary details Guide the Team Technically and should be able to manage the tasks for the Team Follow and contribute to best practices both in terms of technology and process Review code of the developers to ensure adherence to best practices and correctness of implementation Manage deployment across environments by coordinating integration testing Ensure the delivery quality and timelines within sprints and release Research emerging technologies and maintain awareness of current platform roadmaps to assist with developing strategic plans Implementation of the user interface Design and deployment of the database. Writing effective APIs Skills At least 5 to 10 years of industry experience and skilled in below, Experience coaching and mentoring team members Experience in conducting code reviews and creating a collaborative development environment Familiarity with design patterns Experience designing and developing solutions for Azure/cloud. Excellent analytical, communication and teamwork skills Understanding of Agile frameworks and Tools Backend programming language & frameworks specifically C#, ASP .NET Core, Node.js Web fundamentals such as HTML, CSS, JavaScript and jQuery JavaScript frameworks such as Angular and React Experience with Microsoft SQL Server; Familiarity with Mongo or Cosmos DB is a plus. Experience developing REST APIs Design and implementation of continuous integration and deployment Working knowledge in Python will be an advantage Education Bachelors or masters degree with specialization in Computer Science or related field About vConstruct: vConstruct specializes in providing high quality Building Information Modeling, Lean Construction, Integrated Project Delivery and Software Solutions for global construction projects. vConstruct is a wholly owned subsidiary of DPR Construction, USA. The Software Unit for vConstruct works on many interesting problems in Construction Technology. It works across different set of software technologies such as Web Applications, Workflow Management, Analytics, Machine Learning and IoT. For more information, please visit www.vconstruct.com. DPR Construction is a commercial general contractor and construction manager in USA specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great thingsgreat teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com.

Role and Responsibilities: Build, design, and deploy solutions, new integrations/APIs (.NET). Update existing API functionalities (enhancements or bugfixes) on Azure Services (APIM, Azure functions). Develop front-end applications using Angular/Angular js and database development using MSSQL, MySQL, Cosmos DB Develop scalable and secure microservices using .Net core, Docker and Kubernetes Work with CI/CD regards to the deployment, management, and operation of applications on Azure, ensuring optimal performance. Design, develop, and optimize OpenAI-powered applications, chatbots, and AI-based customer support systems. Mandatory Skills Experience with Microsoft Azure services like Azure functions, API Management, App services, Azure data factory, Key vault, App insights, Azure DevOps. Proficiency in scripting and programming languages such as C#, Angular js, Angular and T SQL Excellent problem-solving and troubleshooting skills. Good to Have Experience with OpenAI GPT models and their practical applications. Experience with Cursor or similar AI code editors, Azure AI studio and RAG architectures Knowledge of security best practices like PCI and compliance standards for cloud environments. Working knowledge at least one of Redis, Rabbit MQ and Couchbase Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams. Education UG: B. Sc in Any Specialization, B. Tech/B.E. in Any Specialization Key Skills C#, .Net (ver 8,6, 3.1), MS SQL Server, My SQL, Azure Services (Functions, API Management, Data factory, Devops, App Insights), CI/CD, Redis, Cosmos DB, Rabbit MQ, Couch base Location Malad West, Mumbai Notice Period: Immediate to 30 Days

We are seeking an experienced Senior Azure .NET Developer with a strong background in developing scalable cloud-based applications and services. The ideal candidate will have extensive experience working with .NET (8.0, 6.0), .NET Core, and Azure services, along with a solid understanding of AI/ML and OpenAI large language models (LLMs). The role also requires hands-on experience in CI/CD pipelines, containerization, and database technologies. Prior team leadership or mentoring experience is highly desirable. Key Responsibilities Design, develop, and maintain cloud-native applications using .NET 8.0, 6.0, and .NET Core frameworks. Build and deploy microservices and serverless functions leveraging Azure Functions and other Azure services such as Azure API Management (APIM), Cosmos DB, and Azure DevOps. Implement and manage CI/CD pipelines using Azure DevOps or similar tools to ensure smooth, automated deployments. Develop and maintain containerized applications using Docker. Work closely with data teams and architects to design solutions incorporating MSSQL Server and Cosmos DB. Integrate AI/ML capabilities and OpenAI large language models into applications to enhance functionality. Ensure high code quality, unit testing, and adherence to best practices in software development. Collaborate with cross-functional teams including product owners, UX/UI designers, and QA to deliver high-quality software products. Provide technical leadership and mentorship to junior developers, and support team lead activities when required. Participate in architectural discussions and provide input on system design and enhancements. Troubleshoot and resolve complex technical issues in production environments. Stay updated with the latest industry trends and Azure innovations to continuously improve the product and processes. Required Skills and Experience Minimum 7 years of experience in .NET development , including expertise in .NET 8.0 and 6.0, and .NET Core. Strong hands-on experience with Azure services , including but not limited to: Azure API Management (APIM) Azure Functions Azure DevOps (CI/CD pipelines) Expertise in containerization technologies like Docker . Proficient in database management with MSSQL Server and Cosmos DB . Practical experience with AI, Machine Learning (ML), and OpenAI Large Language Models (LLMs) . Knowledge of best practices in cloud-native application development. Experience in building and deploying scalable, resilient microservices. Previous experience in team leadership or mentoring is a plus. Strong problem-solving skills and ability to troubleshoot complex systems. Excellent communication and collaboration skills. Educational Qualification Bachelors or Master’s degree in Computer Science, Information Technology, or a related field.

Role and Responsibilities: Design, code and implement scalable, maintainable, secure cloud solutions using .NET, .Net Core and Microsoft Azure. Implement DevOps practices, including continuous integration and continuous deployment (CI/CD) pipelines. Develop front-end applications using Angular/Angular js and database development using MSSQL, MySQL, Cosmos DB Develop scalable and secure microservices using .Net core, Docker and Kubernetes Oversee the deployment, management, and operation of applications on Azure, ensuring optimal performance. Design, develop, and optimize OpenAI-powered applications, chatbots, and AI-based customer support systems. Mentor junior developers to resolve technical hurdles and ensure clean, efficient code delivery. Mandatory Skills In-depth knowledge of cloud computing concepts and experience with Microsoft Azure services like Azure functions, API Management, AKS, App services, Azure data factory, Key vault, App insights, Azure DevOps. Proficiency in scripting and programming languages such as Angular js, Angular, T SQL and C#. Experience with OpenAI GPT models and their practical applications. Experience with Cursor or similar AI code editors, Azure AI studio, OpenAI API, Lang Chain and RAG architectures Knowledge of security best practices like PCI and compliance standards for cloud environments. Excellent problem-solving and troubleshooting skills. Worked knowledge of at least one of Redis, Rabbit MQ and Couchbase Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams. Education UG: B. Sc in Any Specialization, B. Tech/B.E. in Any Specialization Key Skills C#, .Net (ver 8,6, 3.1), MS SQL Server, My SQL, Azure Services (Functions, API Management, Data factory, Devops, App Insights, AKS), CI/CD, Docker, Kubernetes, Redis, Cosmos DB, Rabbit MQ, Couch base, Open AI, ML, OpenAI API, Lang Chain Location Malad West, Mumbai Notice Period: Immediate to 30 Days

Exp - 5 to 8 yrs Loc - Hyderabad Posi - Permanent FTE Must have skills - Java, Spring boot, Microservices, Hibernate, Angular, Rest API (good to have)

About the Role: We are looking for an Azure Data Engineer 4+ years of expertise in Azure Databricks, Azure Data Factory, Azure DevOps, Azure Storage/ Data Lake and Analytics development. , Relational database and SQL language. Requirements: Create ER diagrams and write relational database queries. Generate database objects and maintain referential integrity. Configure, deploy and maintain database. Participate in development and maintenance of Data warehouses Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Proficient in Azure SQL, Cosmos DB and Azure Synapse. Provide technical design, coding assistance to the team to accomplish the project deliverables as planned/scoped. #LI-Hybrid #LI-AS1

The role of a Senior ETL Developer at Elevondata Labs, Gurgaon, DLF Phase IV involves designing and developing enterprise data warehouse (EDW), data analysis, and reporting solutions while ensuring the maintenance of software solutions aligns with business objectives. As an ETL Developer, you will be responsible for developing database interfaces for on-premise and online multi-tier web and client-server applications. Your role will also involve maintaining databases, understanding business requirements, and translating them into effective solutions. You must possess strong experience in utilizing tools and systems within the MS SQL Server BI Stack, including SSIS, SSRS, TSQL, PowerPivot, PowerBI, Power Query, MDX, and DAX. Proficiency in SSAS Tabular models and the ability to efficiently stage and shape data from data warehouses into reporting and analytics solutions are essential. Additionally, you should have a deep understanding of database fundamentals, including relational database design, multidimensional database design, OLTP, and OLAP. Key responsibilities include managing data warehouse and business intelligence systems, designing and developing enterprise data warehouse solutions, and monitoring all components for integrity, stability, and high availability. You will collaborate with business users and programmer analysts to conceptualize and develop the DW solution, review and analyze data from multiple sources, and design ETL solutions. Conducting performance tests, training end users, and working on Microsoft Azure Cloud are also part of your primary responsibilities. Desirable skills include experience with Big Data Technologies such as Azure Data Lake, USQL, and Cosmos, as well as Microsoft Azure Cloud services. Certification as a Microsoft Certified Solution Expert (MCSE) in Business Intelligence and Microsoft Certified Solutions Developer is a plus. Proficiency in developing business intelligence solutions using Power BI and Tableau is advantageous. To excel in this role, you should be adept at working in an onshore/offshore model with flexibility, as well as in Agile/DevOps environments. Strong communication skills, both written and verbal, along with excellent presentation and facilitation abilities, are crucial for effective collaboration and project success.,

As the Lead Frontend Engineer at Leap Wallet, you will be responsible for spearheading the development and scaling of the Elements SDK. This SDK aims to become an indispensable tool for developers in the Cosmos ecosystem and beyond, focusing on aspects such as performance, usability, and integration ease. You will design, develop, and optimize the Elements SDK to ensure a seamless and intuitive developer experience. Additionally, you will lead the Elements frontend team, fostering a culture of excellence, innovation, and continuous improvement. Your role will also involve playing a pivotal part in the integration process. This includes engaging with interested developers, participating in demo and pitch calls, and guiding them from proof of concept to final integration and launch. It is essential to cultivate deep engagement with the Cosmos developer community and collaborate closely with backend engineers and product managers to align the SDK's development with market needs and user expectations. Furthermore, you will be responsible for developing comprehensive documentation and tutorials to empower developers to easily integrate and leverage the SDK. The ideal candidate for this position should have at least 6 years of frontend development experience, with a strong focus on SDK or API development. Proficiency in React, JavaScript, and TypeScript is essential, coupled with a passion for creating developer-focused tools. Experience in deploying scalable products for a global audience and proactive engagement with developer communities are highly valued. Knowledge of blockchain technologies, especially Cosmos, would be advantageous. Familiarity with CI/CD pipelines, automated testing frameworks, and Figma is also beneficial. Experience in an early-stage setup is a plus. Bonus points will be awarded for experience in building performant UI animations on Mobile, CI/CD for mobile apps, automated testing integrations, working on blockchains or fintech space, and being an early engineer in previous roles. In return, Leap Wallet offers a competitive compensation package on par with the market, along with ESOPs/Tokens. Remote work and flexible work hours are provided to suit your needs. You will also have access to flexible time off and the opportunity to influence the perks provided by the company. This is an exciting opportunity for a skilled Frontend Engineer to lead the development of a cutting-edge SDK at Leap Wallet and make a significant impact in the crypto space and beyond.,

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Primary Skills: Net/C# (SOLID, Webservice/Microservices) Backend (C#, SQL,Web services calls) SQL Server/Cosmos DB Visual Studio, Git Testing (Unit testing/MOQ/Subsitute/etc) Minimum 1+ years as working Technical Development Lead Secondary Skills: Cloud(Azure) Agile/SAFe(process, ceremonies) Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

" Job Title : Azure Data Engineer Job Location - India Job Description: Must Skills: Microservices Architecture & Async Messaging Understanding of event-driven design Experience designing loosely coupled microservices. Familiarity with event sourcing and message-driven workflows. Microsoft Purview APIs & Data Governance Experience integrating with Microsoft Purview REST APIs. Understanding of metadata management and data cataloguing Power BI Reporting Experience with developing Power BI report using Power BI Desktop Experience with managing data source connects for Power BI Vnet Data Gateway Experience with managing access to Power BI Workspace and Reports Experience: An awareness of Azure Logic Apps would also be very beneficial. Containerization & Azure Container Apps Proficiency with Docker Experience deploying and maintaining Azure Container Apps. Familiarity with container orchestration and scaling strategies. Azure Cosmos DB & NoSQL Databases Experience with Cosmos DB SQL API and query optimizations. Azure Storage & Scalable Data Storage Experience designing efficient Table Storage schemas. Experience with managing blob files Understanding of PartitionKey\/RowKey indexing for fast lookups. Monitoring & Observability with Azure Monitor Experience setting up Azure Monitor, Application Insights, and Log Analytics. Ability to analyse logs, track performance metrics, and set up alerts. Understanding of distributed tracing for microservices DevOps & CI\/CD Pipelines Experience with Azure DevOps for CI\/CD. Knowledge of container registry management (ACR).

Required Technical Skills (Must-Have): Programming Languages: C#, .NET Core API Development: Web API (RESTful) Database Technologies: SQL Server, Entity Framework (EF Core) Azure Cloud Services (PaaS): Azure Cosmos DB Azure Storage Accounts Azure Key Vault Managed Identity Strong understanding of Cloud-native application design patterns Solid grasp of secure coding practices and API security Roles & Responsibilities: Design, develop, and maintain high-performance C#/.NET Core based APIs and backend services Build and integrate cloud-native solutions using Azure PaaS offerings Implement data models and manage database operations with SQL Server and Entity Framework Core Develop secure and scalable solutions leveraging Key Vault , Managed Identity , and best practices for identity and access management Write clean, maintainable, and testable code with proper documentation Collaborate with cross-functional teams including DevOps, Architects, and QA to ensure seamless delivery Monitor, optimize, and troubleshoot applications in Azure environments Adhere to CI/CD pipelines and DevSecOps standards for application lifecycle management Participate in code reviews and contribute to team knowledge sharing and process improvement Azure, C#, Dotnet Core, Entity Frame, Sql

As a Dot .NET developer with a minimum of 6 years of experience, you will be expected to have proficiency in working with .NET Core microservices, SQL Server, Azure, and Cosmos. The ideal candidate should be well-versed in developing applications using these technologies and should have a strong understanding of software development principles. This position is based in multiple locations including Noida, Gurugram, and Bangalore. The candidate should be willing to work in any of these locations as per the company's requirement. The selected candidate is expected to join immediately, hence no notice period is allowed for this position. The ability to adapt to a fast-paced work environment and collaborate effectively with team members is essential for success in this role.,

SUMMARY Job Description: ASP.NET Developer with Cloud Expertise - Build fail-safe healthcare systems on Azure at scale(On-site only) Location : Ahmedabad, India (Onsite) Experience Level : 3-5 Years Employment Type : Full - time About Ajmera Infotech Ajmera Infotech is a planet-scale engineering powerhouse with 120+ elite developers shipping mission-critical software for NYSE-listed clients. We architect high-stakes systems where failure is not an option think HIPAA-regulated platforms, multi-cloud scale, and real-time data pipelines. Why You’ll Love It Code-first, TDD culture engineers write specs, not just code Healthcare impact your work safeguards patient data and powers critical decisions Deep Azure immersion PaaS, AKS, Functions, Event Grid, and more Microservices done right service boundaries, observability, resilience patterns Career acceleration mentorship, vertical mobility, and architectural exposure Key Responsibilities Architect and develop secure, scalable .NET micro-services hosted on Azure Implement mission-critical back-end features with performance and compliance top of mind Lead Azure-native service integration (e.g., Azure Functions, App Services, Key Vault, Service Bus) Apply domain-driven design, TDD/BDD, and CI/CD pipelines to ship reliable code Collaborate across DevSecOps, product, and compliance teams to uphold HIPAA standards Monitor, troubleshoot, and continuously improve systems in production Requirements Must-Have Skills 3-5 years of .NET development experience (C# preferred) Strong command of Azure PaaS , including App Services, Azure Functions, and Cosmos DB Proven track record with microservices , event-driven architecture, and API design TDD/BDD, Git workflows, CI/CD (Azure DevOps or GitHub Actions) Hands-on with authentication, authorization, and encryption best practices Understanding of HIPAA , OWASP Top 10 , and secure coding practices Nice-to-Have Skills Azure Kubernetes Service (AKS), Docker, Infrastructure as Code (ARM/Bicep/Terraform) Messaging systems like Azure Event Grid, Service Bus, or Kafka Experience with performance tuning, load testing, and cost optimization in cloud apps Familiarity with logging and telemetry (App Insights, ELK, Grafana) Past contributions to healthcare products or EMR/EHR systems Benefits Competitive salary package with performance-based bonuses. Comprehensive health insurance for you and your family. Flexible working hours and generous paid leave . High-end workstations and access to our in-house device lab. Sponsored learning: certifications, workshops, and tech conferences.

Key Responsibilities **Text Embeddings & NLP** - Design and implement pipelines leveraging text embeddings for semantic search, classification, clustering, and document retrieval. - Work with embedding techniques such as TF-IDF, Word2Vec, GloVe, FastText, and transformer-based models including BERT, Sentence-BERT, OpenAI, and Azure OpenAI embeddings. - Apply dimensionality reduction methods (PCA, t-SNE, UMAP) to analyze and visualize embedding spaces. - Use cosine similarity, Euclidean distance, and approximate nearest neighbor algorithms like FAISS and ScaNN for similarity search and clustering. - Integrate embedding outputs into downstream applications such as intent detection, topic modeling, semantic deduplication, document ranking, and retrieval systems. **Traditional Machine Learning & Statistical Modeling** - Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering. - Employ statistical inference techniques including hypothesis testing, confidence intervals, bootstrapping, Bayesian inference, multicollinearity diagnostics, residual analysis, and time series forecasting (ARIMA, SARIMA). - Evaluate model performance using ROC/Precision-Recall curves, AUC, confusion matrices, F1-score, lift/gain charts, and KS statistics. - Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability. **Experimentation & Causal Inference** - Design and analyze A/B and multivariate tests, DOE experiments, and sophisticated causal inference methods including propensity score matching, causal forests, and difference-in-differences. - Translate experimental results into clear, actionable business insights that drive measurable outcomes. **Data Engineering & Productionization** - Develop scalable data pipelines using PySpark, SQL, and Azure Data Factory on platforms including Azure Data Lake, Databricks, MongoDB, and Cosmos DB. - Deploy machine learning solutions with FastAPI, Docker containers, and Azure App Services endpoints, while monitoring model health with MLflow and model drift. **Collaboration & Leadership** - Partner effectively with engineering, product, and business teams to define problem statements and deliver impactful solutions. - Lead technical discussions, perform code reviews, and mentor junior data scientists to foster technical growth. - Communicate complex analytical insights clearly to both technical and non-technical stakeholders. Required Skills and Qualifications Hands-on experience in machine learning, statistical modeling, and NLP applications. - Deep expertise in text embeddings and their real-world applications. - Proficiency in Python, PySpark, and SQL. - Strong foundation in statistical inference, model diagnostics, and evaluation metrics. - Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models. - Proven ability to design, execute, and interpret experiments with statistical rigor. Preferred (Good-to-Have) Skills - Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs. - Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services. - Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems. Day-to-Day Responsibilities You will architect and implement advanced NLP and machine learning pipelines leveraging diverse text embeddings for semantic search, classification, and clustering tasks. Applying sound statistical modeling and causal inference techniques, you will lead experimentation efforts and build scalable data workflows using PySpark, SQL, and Azure services. Cross-functional collaboration will be a core part of your role as you translate analytical insights into strategic business outcomes. Location: IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg Job ID R-72059 Date posted 06/26/2025

Seize the opportunity to be at the forefront of digital innovation in the reinsurance sector by joining us as a Backend Engineer for SwiftRe , our innovative platform providing quick, efficient, and user-friendly solutions for facultative reinsurance business. About the Role We have an open Backend Engineering position where we need your expertise while you can grow further. We are looking for an experienced Engineer who can contribute to our team and deliver high-quality code. As a Backend Engineering, you will work in an agile squad alongside Technical Squad Leads who code, provide technical expertise, and assist with solution design. Our Backend is written in C# running on .NET version 8 and leveraging various Azure Cloud Services (e.g., AKS, Cosmos DB, PostgreSQL, ASB). The Backend serves various user specific Frontends written in Angular. SwiftRe is an Azure Cloud based application that Has a worldwide user base Is highly integrated into the full value chain of Swiss Re (including core legacy services) Must fulfill high security and compliance standards Uses state of the art technology stacks We work in an agile setup where empowerment of the team is of highest value. About You Nobody is perfect and meets 100% of requirements. If you, however, meet some of the criteria below and are genuinely curious about the world of software engineering, we will be happy to meet you. We are looking for a passionate and experienced Backend Engineer with a background in .NET/C# . You should be a collaborative, ready to support the successful delivery of our innovative features and solutions, in a fast-paced and agile environment. If you possess traits and experience that match most of the below, we would love to hear from you: 5+ years of experience with .NET/C# ideally with focus transactional enterprise applications Familiarity with relational and non-relational database technology/concepts Experience in (micro-) service solution design using synchronous and asynchronous integration patterns Educational Background in Computer Science, Engineering, or a related field. Excellent Communication Skills in English, both written and verbal, to effectively interact with the team and st About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134460

Skill: Site Reliability Engineer (Java, Splunk, Dynatrace, Devops) Experience range: 5 - 10 years Location: Bangalore As a Site Reliability Engineer in the CPC Team , you will work with L2, Other dependent Applications, Platform team, DevOps and Engineering practitioners to proactively maintain mission-critical infrastructure, cloud platforms, microservices, tools, and processes that will ensure the highest levels of availability and reliability of CPC applications. Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What youll do: Incident triage, Escalation and Resolution : Triage site-impacting production issues by quantifying impact, severity and urgency, analyzing systems for quick remediation, engaging the right teams for recovery [Reduce MTTE Mean Time to Engage], and focusing on immediate restoration [ Reduce MTTR Mean Time to Restore] of large-scale enterprise systems. Alert, Monitoring, Log analysis : Detect and analyze monitoring graphs and alerts to identify systems causing production impacts with various tools like Grafana, Prometheus, MMS, Service Now, JIRA, Dynatrace, Splunk etc [Reduce MTTD Mean Time to Detect]. Enhance Alerting solutions : Design and implement JavaScript for the integration of alerting tool with service API endpoints with various tools like ServiceNow, Spotlight, Splunk, and xMatters. Requires knowledge of: Monitoring and alerting tools; Monitoring metrics and key performance indicators (for example, availability, MTBF, MTTR); SLIs and SLOs (for example, request latency, availability, error rates, saturation); Distributed tracing; Alerting logic. To demonstrate awareness of the metrics used to monitor software or system performance. Monitors current performance data to ensure adherence to defined SLOs and SLIs for simple applications/systems. Demonstrates awareness of the different types of alerts generated by the monitoring tools. Demonstrates awareness of infrastructure and application metrics. Disaster Recovery Planning : Requires knowledge of: Disaster recovery procedures and processes; Enterprise disaster recovery systems. To work with business partners to identify and document critical applications. Performance and Optimization : Requires knowledge of: Unix/Linux performance optimization tuning; Java/NodeJS/Tomcat/Apache tuning and optimization; Chaos tools to utilize established criteria (for example, probability of failure, frequency of failure) to measure site reliability. Monitors site reliability conditions and new reliability requirements. Work on Product Enrichment ; Content Services projects at Walmart: Develop enterprise monitoring and utilize tooling software solutions such as Grafana, Splunk etc, to improve visibility, pro-actively detect issues and restore system availability. Develop Tools and support: Design and develop solutions for widespread internal communications for cloud applications support or workflows for infrastructure availability issues with various internal applications with multiple programming languages like Java, JavaScript (React, Node JS), Python and Shell programming technologies like Prometheus, Database Query languages. Design and develop a UI tool to display Item Content Quality data on a dashboard using AngularJS, ReactJs, HTML5 ; CSS3 etc To create and maintain Playbooks. Steps to perform correct analysis on the issues and engage correct teams for CPC, Dependent downstream services and Platform teams. To handle Deployments. Streamline the deployments process and handle the responsibility as a single team. Understand and explore Post validations and back out steps to make app more resilient. Coordinate with platform teams for non-app releases like VM upgrades, DB Maintenance, and other component environment related tasks. Participate in rotating on-call duties and work across different time zone with a multi-national team Responsible for timely root cause analysis [RCA] of production issues. Develop reusable tooling and processes to drive and improve customer experience and lower operational costs. Understand DevOps Industry best practices Help teams to build highly Observable and Resilient systems Collaborate with developers to capture requirements and understanding pain points Build reusable tools, library, dashboards which can be used across DevOps/SRE teams What youll bring: Bachelors degree in Computer Science, Engineering or related discipline 5+ years of hands-on related to SRE, Operations ; Development experience with Java Script, Java, Restful services, Git, Maven, Jenkins, DevOps, Containerization, Docker, Kubernetes, Azure, Google cloud, Kafka, Azure Cosmos, Azure SQL, Mega cache CI/CD ,Prometheus, Grafana, Splunk etc. Automation and Self-healing: Demonstrate knowledge of scripting and software development for automation and self-healing of multi-cloud environments. Help enhance existing solutions by developing automation with Docker, Kubernetes and working with DevOps and Engineering partners. Excellent end to end technical understanding of core infrastructure, cloud services, platforms, and micro-services. Ability to effectively triage be able to detect and determine symptom vs cause. Identify and drive continuous improvement efforts to reduce waste (eliminate, automate or streamline). Influence the design of system architecture and tactical solutions. Familiar with log centric tooling. Produce time series data and reusable dashboards for use both during and post event.