82 Event Hub Jobs - Page 2

Exp - 5 to 8 yrs Loc - Bengaluru Pref - Local candidates Mode - Hybrid (2 days from office) Posi - Permanent FTE Must have skills - Java, Spring boot, Multithreading, Logging, Angular, Kafka & Azure cloud

Hiring For Azure Integration Architect with 11 to 14 Years of experience for Remote. Remote opportunity Opportunity- Immediate Joiner only Mandatory Skill set- .net Azure integration CI/CD Azure API Mgmt Azure APIM Azure Function Manage Identity Required Candidate profile It is purely Architect with Azure integration role.

Experience Required: 8+Years Mode of work: Remote Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture,Azure Data Factory, Pyspark, Python, SQL, Spark Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within 14th July 2025) Responsibilities Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks. Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights. Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions. Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features. Provide technical guidance and expertise to junior data engineers and developers . Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering. Contribute to the continuous improvement of data engineering processes, tools, and best practices. Requirements: Bachelors or masters degree in computer science, engineering, or a related field. 10+ years of experience as a Data Engineer with a focus on building cloud-based data solutions. Mandatory skills: Azure DataBricks, Eventhub, Kafka, Architecture, Azure Data Factory, Pyspark, Python, SQL, Spark Strong experience with cloud platforms such as Azure or AWS. Proficiency in Apache Spark and Databricks for large-scale data processing and analytics. Experience in designing and implementing data processing pipelines using Spark and Databricks. Strong knowledge of SQL and experience with relational and NoSQL databases. Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services. Good understanding of data modelling and schema design principles. Experience with data governance and compliance frameworks . Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills to work effectively in a cross-functional team. Interested candidate can share your resume to OR you can refer your friend to Pavithra.tr@enabledata.com for the quick response.

We are looking for a skilled Java + Azure Lead with 9 to 15 years of experience in software development, including at least 2 years as a lead. The ideal candidate should have expertise in Java coding, Springboot, Design Patterns, Microservice Architecture, and development experience in Azure Cloud. Roles and Responsibility Lead high-performance teams by providing hands-on guidance and individual contributions. Collaborate closely with Technical and Product Managers to define and plan projects and activities. Develop and implement an architecture strategy. Facilitate team collaboration towards software engineering best practices and solutions that meet customer needs. Ensure high-quality code is produced and maintained through code reviews and frequent defect prevention activities. Work closely in small teams to create well-integrated products in short design cycles with good documentation and reusable artifacts. Job Minimum 9+ years of software development experience, with at least 2+ years as a lead. Strong Core JAVA and Design Principles. Proficient in J2EE with Spring, JPA, and Hibernate. Experience with Spring Boot, RESTful Web Services, and Microservices. Working experience on RDBMS/MySQL databases. Proficient in documenting processes and code using standard tools like POSTMAN, Swagger, etc. Proficient with Azure services. Basic understanding of Caching (Redis) and Search/Index Platform (Elastic Search). Experience with Agile/Scrum/Kanban methodologies. Strong proficiency in Microsoft Azure services such as Cosmos DB, Event Hub, and partitioning.

OverviewWe are seeking a skilled and proactive Support Engineer with deep expertise in Azure cloud services, Kubernetes, and DevOps practices. with 5+ years of industry experience with same technologies. The ideal candidate will have experience working with Azure services, including Kubernetes, API management, monitoring tools, and various cloud infrastructure services. You will be responsible for providing technical support, managing cloud-based systems, troubleshooting complex issues, and ensuring smooth operation and optimization of services within the Azure ecosystem. Key Responsibilities: Provide technical support for Azure-based cloud services, including Azure Kubernetes Service (AKS), Azure API Management, Application Gateway, Web Application Firewall, Azure Monitor with KQL queries Manage and troubleshoot various Azure services such as Event Hub, Azure SQL, Application Insights, Virtual Networks and WAF. Work with Kubernetes environments, troubleshoot deployments, utilizing Helm Charts, check resource utilization and managing GitOps processes. Utilize Terraform to automate cloud infrastructure provisioning, configuration, and management. Troubleshoot and resolve issues in MongoDB and Microsoft SQL Server databases, ensuring high availability and performance. Monitor cloud infrastructure health using Grafana and Azure Monitor, providing insights and proactive alerts. Provide root-cause analysis for technical incidents, propose and implement corrective actions to prevent recurrence. Continuously optimize cloud services and infrastructure to improve performance, scalability, and security. Required Skills & Qualifications: Azure Certification (e.g., Azure Solutions Architect, Azure Administrator) with hands-on experience in Azure services such as AKS, API Management, Application Gateway, WAF, and others. Any Kubernetes Certification (e.g CKAD or CKA) with Strong hands-on expertise in Kubernetes Helm Charts, and GitOps principles for managing/toubleshooting deployments. Hands-on experience with Terraform for infrastructure automation and configuration management. Proven experience in MongoDB and Microsoft SQL Server, including deployment, maintenance, performance tuning, and troubleshooting. Familiarity with Grafana for monitoring, alerting, and visualization of cloud-based services. Experience using Azure DevOps tools, including Repos and Pipelines for CI/CD automation and source code management. Strong knowledge of Azure Monitor, KQL Queries, Event Hub, and Application Insights for troubleshooting and monitoring cloud infrastructure. Solid understanding of Virtual Networks, WAF, Firewalls, and other related Azure networking tools. Excellent troubleshooting, analytical, and problem-solving skills. Strong written and verbal communication skills, with the ability to explain complex technical issues to non-technical stakeholders. Ability to work in a fast-paced environment and manage multiple priorities effectively. Preferred Skills: Experience with cloud security best practices in Azure. Knowledge of infrastructure as code (IaC) concepts and tools. Familiarity with containerized applications and Docker. Education: Bachelors degree in Computer Science, Information Technology, or a related field, or equivalent work experience.

1. Data Engineer Azure Data Services 2. Data Modelling NO SQL and SQL 3. Good understanding of Spark, Spark stream 4. Hands on with Python / Pandas / Data Factory / Cosmos DB / Data Bricks / Event Hubs / Stream Analytics 5. Knowledge of medallion architecture, data vaults, data marts etc. 6. Preferably Azure Data associate exam certified.

PositionTech Lead API Platform Team (Azure, Terraform, Kubernetes) Overview: We are seeking a highly skilled Tech Lead to spearhead our API Platform Team. This role demands a profound expertise in Azure services and advanced skills in Terraform and Kubernetes. Key Responsibilities and : Proven experience as a Tech Lead or Senior role in Azure, Kubernetes and Terraform. Extensive Expert-level knowledge and experience with Azure services such as AKS, APIM, Application Gateway, Front Door, Load Balancers, Azure SQL, Event Hub, Application Insights, ACR, Key Vault, VNet, Prometheous, Grafana, Storage Account, Monitoring, Notification Hub, VMs, DNS and more. Extensive Expert-level knowledge and hands-on experience in design and implement complex Terraform modules for Azure and Kubernetes environments, incorporating various providers such as azurerm, azapi, kubernetes, and helm. Extensive Expert-level knowledge and hands-on experience in deploy and manage Kubernetes clusters (AKS) with a deep understanding of Helm chart writing, Helm deployments, and AKS addons, Application Troubleshooting, monitoring with Prometheus and Grafana, GitOps and more. Lead application troubleshooting, performance tuning, and ensure high availability and resilience of APIs deployed in AKS and exposed internally and externally through APIM. Drive GitOps, APIOps practices for continuous integration and deployment strategies. Strong analytical and problem-solving skills with a keen attention to detail. Excellent leadership skills and ability to take ownership to deliver platform requirements in a faster pace. Qualifications: Bachelors or masters degree in Computer Science, Engineering, or a related field. Certifications in Azure, Kubernetes and Terraform are highly preferred.

1. Data Engineer Azure Data Services 2. Data Modelling NO SQL and SQL 3. Good understanding of Spark, park stream 4. Hands on with Python Pandas / Data Factory / Cosmos DB / Data Bricks / Event Hubs / Stream Analytics 5. Knowledge of medallion architecture, data vaults, data marts etc. 6. Preferably Azure Data associate exam certified.

OverviewWe are seeking a skilled and proactive Support Engineer with deep expertise in Azure cloud services, Kubernetes, and DevOps practices. with 5+ years of industry experience with same technologies. The ideal candidate will have experience working with Azure services, including Kubernetes, API management, monitoring tools, and various cloud infrastructure services. You will be responsible for providing technical support, managing cloud-based systems, troubleshooting complex issues, and ensuring smooth operation and optimization of services within the Azure ecosystem. Key Responsibilities: Provide technical support for Azure-based cloud services, including Azure Kubernetes Service (AKS), Azure API Management, Application Gateway, Web Application Firewall, Azure Monitor with KQL queries Manage and troubleshoot various Azure services such as Event Hub, Azure SQL, Application Insights, Virtual Networks and WAF. Work with Kubernetes environments, troubleshoot deployments, utilizing Helm Charts, check resource utilization and managing GitOps processes. Utilize Terraform to automate cloud infrastructure provisioning, configuration, and management. Troubleshoot and resolve issues in MongoDB and Microsoft SQL Server databases, ensuring high availability and performance. Monitor cloud infrastructure health using Grafana and Azure Monitor, providing insights and proactive alerts. Provide root-cause analysis for technical incidents, propose and implement corrective actions to prevent recurrence. Continuously optimize cloud services and infrastructure to improve performance, scalability, and security. Required Skills & Qualifications: Azure Certification (e.g., Azure Solutions Architect, Azure Administrator) with hands-on experience in Azure services such as AKS, API Management, Application Gateway, WAF, and others. Any Kubernetes Certification (e.g CKAD or CKA) with Strong hands-on expertise in Kubernetes Helm Charts, and GitOps principles for managing/toubleshooting deployments. Hands-on experience with Terraform for infrastructure automation and configuration management. Proven experience in MongoDB and Microsoft SQL Server, including deployment, maintenance, performance tuning, and troubleshooting. Familiarity with Grafana for monitoring, alerting, and visualization of cloud-based services. Experience using Azure DevOps tools, including Repos and Pipelines for CI/CD automation and source code management. Strong knowledge of Azure Monitor, KQL Queries, Event Hub, and Application Insights for troubleshooting and monitoring cloud infrastructure. Solid understanding of Virtual Networks, WAF, Firewalls, and other related Azure networking tools. Excellent troubleshooting, analytical, and problem-solving skills. Strong written and verbal communication skills, with the ability to explain complex technical issues to non-technical stakeholders. Ability to work in a fast-paced environment and manage multiple priorities effectively. Preferred Skills: Experience with cloud security best practices in Azure. Knowledge of infrastructure as code (IaC) concepts and tools. Familiarity with containerized applications and Docker. Education: Bachelors degree in Computer Science, Information Technology, or a related field, or equivalent work experience.

1. 6+ years of experience as a DevOps/Build & Release Engineer framework in application configurations, code compilation, packaging, building, managing and releasing code from one environment to another environment. 2. Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes and Managed Docker orchestration and Docker containerization using Kubernetes. 3. Experienced working as a DevOps Engineer on various technologies/applications like SVN, GIT, Ant, Maven, Artifactory, Jenkins, Open Shift Containers(OCP), Chef, Docker, Kubernetes, Azure cloud, App services, Function Apps, Storage accounts, Data Lake, Event Hubs, Event Grids, Azure DevOps, and AWS DevOps. 4. Experienced in version control tools like TFS, VSTS, SVN, Bitbucket and GITHUB. 5. Extensive experience using MAVEN, ANT as build tools for the building of deployable Artifacts from source code 6. Experience worked on Groovy, Jenkins, Azure DevOps, AWS DevOps, Build Pipelines, Release pipelines for continuous integration and for End-to-End automation for all build and deployments. Version Control SystemsGIT, Subversion (SVN) Operating SystemsRHEL Linux CI/CD ToolsJenkins, Artifactory, Nexus, Azure DevOps, kafka ContainersDocker, Kubernetes, Packer, OCP(Open shift container) Scripting LanguagesJava scripting, Unix Shell scripting, PowerShell Web ServersTomcat, Apache, IIS, JBOSS, Spring boot Cloud PlatformsAzure, AWS DatabasesOracle, Mongo DB, Couchbase Project Management ToolsMS Office, MS Project Bug Tracking Tools JIRA

Strong experience in Azure Datafactory,Databricks, Eventhub, Python,PySpark ,Azure Synapse and SQL Azure Devops experience to deploy the ADF pipelines. Knowledge/Experience with Azure cloud stack. Responsible for building scalable data pipelines using Azure Data Factory and Databricks to support data ingestion and transformation.

Excellent communication and presentation skills. Extensive experience in Azure stack Azure Data bricks, Azure Synapse, ADLS, Azure SQL DB, Azure Data Factory, CosmoDB, Analysis Services, Event Hub etc.. Excellent experience in data processing using Azure Data bricks, complex data transformation using Pyspark or Python and building end to end data pipeline using Azure Data bricks Experience in job scheduling using Oozie or Airflow or any other ETL scheduler Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala. Good experience in designing & delivering data analytics solutions using Azure Cloud native services. Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design Documentation of solutions (e.g. data models, configurations, and setup). Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies. Experienced in internal as well as external stakeholder management

Immediate Openings on Devops Azure _Gurgaon Skill:Devops Azure Notice Period: Immediate . Employment Type: Contract. Job Posting Title: Software Development Specialist (DevOps) Top 3 skills: Microsoft Azure\ Dev Ops \ .Net Work location: Chennai \ Bangalore Shift timings: Involves multiple shifts Experience 7 plus years Qualifications: DevOps skill set with maybe 8-10 yrs and also can manage and provide technical guidance to the current team Skilled on Microsoft Azure cloud - ideally Azure Fundamentals certified OR Computer Science/Information Systems Management degree. Familiar with PaaS and IaaS - VMs, Storage, EventHub, Service Fabric Cluster (SFC), Azure Kubernetes Service (AKS), CosmosDB, SQL Server, IoT Hub, Databricks, KeyVault, Datalake Understand the concept of Internet of Things (IoT) - telemetry, ingestion, processing, data storage, reporting Familiarity with tools - Octopus, Bamboo, Terraform, Azure DevOps, Jenkins, Github, Ansible (Chef and Puppet would be ok as well) Familiarity with container orchestration platform (e.g., Kubernetes) Some experience with Powershell, Bash, Python Understanding the difference between NoSQL and SQL databases, and how to maintain them Understanding of monitoring and logging systems (ELK, Prometheus, Nagios, Zabbix, etc) Independent thinker - why does it break, what can I proactively do to fix it Required Strong English communication (written and oral) skills Release Management: Release Management of new software via Tools Understand release management SOP = QA - Load Test - Stage Environment - PROD Create/Manage monitoring and alerting systems and as needed to meet SLAs Comfortable with both Linux and Windows administration Working in agile teams, build, test and maintain aspects of CICD Pipeline Evangelize with Engineering, Security, and cross functions on Ops Best Practices Firmware release - OTA (over the air) Launch new mobile app / release new version of the existing mobile app - Appstore / Playstore Participate in RCCAs when needed Maintain documentation & best practices (Wiki & Runbooks) Work with teams to set up standard alerts that can be placed in ARMs & CI\CD Support product NPI onboarding Metric gathering on usage & distribution of that data Migration of the service from one platform to another/one service provider to another Participate in early phases of NPIs sprints when Arch tech runways are defined Take part on the tech bridges to support the troubleshooting effort when necessary Periodic audits to ensure no security issues/relevant access to the required team members (user access cleanup) Support continuous delivery of programs in which patches, new versions, and bug fixes are more frequently deployed to end users without sacrificing stability or reliability Support on-call during off-hours crisis Incident Management / Alerting / Monitoring: Responsible for Tier 2 support that includes end-2-end ownership of incidents from the time they enter the service line through closure for connected devices Responsible for 24X7 Major Incident Management support Respond, resolve, & escalate tickets in a timely manner Implement corrective actions needed to mitigate security risks Ensure all tickets requiring follow-up work and/or calls are resolved. (End-2-end incident resolution support) Ensure all the components are within MON purview.

Bachelors degree (Computer Science), masters degree or Technical Diploma or equivalent At least 8 years of experience in a similar role At least 5 years of experience on AWS and/or Azure At least 5 years of experience on Databricks At least 5 years of experience on multiples Azure and AWS PaaS solutions: Azure Data Factory, MSSQL, Azure storage, AWS S3, Cognitive search, CosmosDB, Event Hub, AWS glue Strong knowledge of AWS and Azure architecture design best practices Knowledge of ITIL & AGILE methodologies (certifications are a plus) Experience working with DevOps tools such as Git, CI/CD pipelines, Ansible, Azure DevOps Knowledge of Airflow, Kubernetes is an added advantage Solid understanding of Networking/Security and Linux English language on the Business Fluent level is required Curious to continuously learn and explore new approaches/technologies Able to work under pressure in a multi-vendor and multi-cultural team Flexible, agile and adaptive to change Customer-focused approach Good communication skills Analytical mind-set Innovation

Role & responsibilities Cloud Technologies, Senior Lead Engineer, Full Stack Developer Job Responsibilities Design, develop cloud-based applications using Azure (primary) and other Cloud platforms (preferably AWS). Design, develop web applications, desktop applications using.NET Core, C#, javascript, REST APIs, Azure, IoTHub, Event Hubs, Queues, Topics, WPF, SQL Server, Elastic Search, Redis. Work closely with onsite, offshore and cross functional teams, Product Management, UI/UX developers, Web and Mobile developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery of IoT/Cloud Applications Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program. Technical delivery responsibilities, for an agile team consisting of developers and SQA members. Work closely with enterprise architect, technical guidance for the junior team members. Education -BE/ BTech/MTECH / MCA/ MS degree in Computer Science or Electrical, Electronics Experience/Qualifications Required Technical Skills/Education: • Assertive communication, strong analytical, problem solving, debugging, and leadership skills. • 7-10 years of Cloud software development experience under Agile development life cycle processes and tools • Must have experience working with project management tools such as Jira, Rally, or AZDO. • Must have experience with source control tools like Bit Bucket and/or Git • Strong understanding of cloud technologies including SaaS, PaaS, and IaaS • Experience in Microservices Architecture. • Solid hands-on experience in Azure Cloud Design and Deployment; Good understanding of Cloud Design Patterns • Develop messaging solutions using SQS, SNS, Topics, Queues, Session Queues • Develop apps that use WS-federation, OAuth, and SAML-P endpoints. • Hands-on experience using Azure Redis, Event Hubs, Service Bus, Storage Accounts. • Hands-on design and implementation of transient fault handling for services, respond to throttling, Application Request Routing (ARR) affinity. • Troubleshoot and resolve concurrency issues in database. • Design for High Availability, Scalability, geographical fault tolerant highly available database solutions • Create normalized and highly scalable logical and physical database design and switch between different database technologies like Oracle, SQL Server, Elastic databases. • Good Hands-on experience diagnosing performance bottlenecks, wait stats, SQL query monitoring, review and optimization strategies. • Thorough experience in cache and non-relational databases like Cosmos/Dynamo DB etc. • Hands on experience on Angular 13+, HTML, SCSS, usage of third-party components like, Sync fusion • Hands-on development using distributed logging frameworks and diagnostics/dashboards using AppInsights • Sound knowledge and hand-on experience using Application lifecycle management, DevOps, CI/CD pipelines using YAML templates and infra as code. • Measure latencies, query execution times and propose and drive database/query optimization techniques. • Mobile first approach in designing applications and strong TDD fundamentals. • Thorough knowledge and hands-on developing ARM templates and PowerShell scripts. • Good understanding of the IOS/Android App submission and integration needs and impact on the cloud development. Preferred Technical Skills/Education: • Knowledge on capabilities of cloud platforms like AWS. • Good understanding of the Linux, Windows Operating systems, evolution and differences. • Knowledge in data science, handling big data. Additional Comments This individual be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and an ability to work on multiple projects and function in a team environment

Experience Required: 8+Years Mode of work: Remote Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture,Azure Data Factory, Pyspark, Python, SQL, Spark Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within July 4th 2025) Responsibilities Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks. Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights. Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions. Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features. Provide technical guidance and expertise to junior data engineers and developers . Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering. Contribute to the continuous improvement of data engineering processes, tools, and best practices. Requirements: Bachelors or masters degree in computer science, engineering, or a related field. 10+ years of experience as a Data Engineer with a focus on building cloud-based data solutions. Mandatory skills: Azure DataBricks, Eventhub, Kafka, Architecture, Azure Data Factory, Pyspark, Python, SQL, Spark Strong experience with cloud platforms such as Azure or AWS. Proficiency in Apache Spark and Databricks for large-scale data processing and analytics. Experience in designing and implementing data processing pipelines using Spark and Databricks. Strong knowledge of SQL and experience with relational and NoSQL databases. Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services. Good understanding of data modelling and schema design principles. Experience with data governance and compliance frameworks . Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills to work effectively in a cross-functional team. Interested candidate can share your resume to OR you can refer your friend to Pavithra.tr@enabledata.com for the quick response.

Position: .NET Full Stack Azure Developer Location: Hyderabad Job Description: We are seeking a proficient .NET Full Stack Developer with 3 to 8 years of experience to join our team in Hyderabad. The ideal candidate will have extensive hands-on experience with C#, .NET Core, Web API, MVC, SQL, and Entity Framework, along with front-end technologies such as Angular or React, Razor, and a solid understanding of design patterns and principles. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Experience: 3 to 8 years of experience in full-stack web application development. Technical Skills: Back-End: Proficiency in C#, .NET Core, Web API, MVC, SQL, and Entity Framework. Front-End: Experience with Angular or React, Razor, HTML, CSS, JavaScript, jQuery, and Twitter Bootstrap. Design: Strong understanding of Design Patterns, OOP concepts, and design principles. Testing: Experience in writing unit and integration tests. Azure: Experience with Azure Web Apps, Azure Functions, Azure Storage, and Azure SQL. Additional Knowledge: Familiarity with Microservices, Containerization (Docker), Kubernetes, Cosmos DB, Service Bus, and Event Hubs is a plus. Version Control: Proficiency in CI/CD processes and version control systems such as Git, SVN, or Azure DevOps. Soft Skills: Strong verbal and written communication skills. Excellent analytical and problem-solving abilities. Ability to work collaboratively in a team environment. Willingness to travel abroad based on customer requirements. Preferred Qualifications: Experience supporting US clients or working with US-based teams. Knowledge of data structures, distributed computing, and integrating complex high-volume data from various sources. Experience in troubleshooting and performance optimization of applications and databases.

Hiring For Azure Integration Developer with 8-13 Years of experience for Remote Opportunity- Immediate Joiner only Mandatory Skill set- .net Azure integration CI/CD Azure API Mgmt Azure APIM Azure Function Manage Identity

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

We are seeking a highly skilled Azure Integration Specialist with 5+ years of overall experience to join our team. The ideal candidate will possess strong expertise in Azure Integration Services and will be responsible for designing, developing, and deploying integration solutions to ensure seamless business operations. This role requires hands-on experience with Azure API Management (APIM), Azure Service Bus, Azure Logic Apps, Azure Event Grid, and Azure Data Factory (ADF). Mandatory Skills: Azure API Management (APIM) : Expertise in API gateway configurations, security policies, and monitoring. Azure Logic Apps : Experience in orchestration and workflow automation for business processes. Azure Service Bus : Proficiency in building decoupled and reliable messaging architectures. Azure Event Grid : Hands-on experience with event-driven design and real-time notifications. Azure Data Factory (ADF) : Proficiency in designing and managing ETL pipelines and data integration solutions. Good to have: Power Automate : Knowledge of lightweight end-user workflows for alerts, approvals, and other automation tasks. Responsibilities: Design, develop, and implement robust integration solutions using Azure Integration Services. Manage and secure APIs with Azure API Management (APIM), including implementing policies for security, throttling, and transformations. Create and orchestrate workflows using Azure Logic Apps for batch jobs, file workflows, and SFTP integrations. Build and maintain asynchronous messaging solutions with Azure Service Bus to enable decoupled communication. Develop event-driven architectures leveraging Azure Event Grid for seamless event propagation. Implement ETL processes and handle large-scale data movement using Azure Data Factory (ADF). Collaborate with cross-functional teams to understand business requirements and ensure optimal integration solutions. Monitor and troubleshoot integration services to maintain system performance and reliability.

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

We're Hiring | Platform Engineer @ Xebia Locations: Bangalore | Bhopal | Chennai | Gurgaon | Hyderabad | Jaipur | Pune Immediate Joiners (015 Days Notice Period Only) Valid Passport is Mandatory Xebia is on the lookout for passionate Platform Engineers with a strong mix of Azure Infrastructure as Code (IaC) Terraform and Data Engineering expertise to join our Cloud Data Platform team. What You'll Do: Design & deploy scalable Azure infrastructure using Terraform Build & optimize ETL/ELT pipelines using Azure Data Factory, Databricks, Event Hubs Automate infra provisioning, enforce security/governance via IaC Support CI/CD workflows with Git , Azure DevOps Work with VNETs, Key Vaults, Storage Accounts, Monitoring Tools Use Python, SQL, Spark for data transformation & processing What Were Looking For: Hands-on experience in Azure IaC + Data Engineering Strong in scripting, automation, & monitoring Familiarity with real-time & batch processing Azure certifications (Data Engineer / DevOps) are a plus Must have a valid passport Interested? Send your CV along with the following details to: vijay.s@xebia.com Required Details: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Location Notice Period / Last Working Day (if serving notice) Primary Skill Set LinkedIn Profile URL Do you have a valid passport? (Yes/No) Please apply only if you haven't applied recently or aren't already in the process with any open Xebia roles. Let’s build the future of cloud-native data platforms together!

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 Non-Degree Program 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

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

SUMMARY Job Role: Node.js with Azure Developer Location: Pune Experience: 5+ years Must-Have: The ideal candidate should possess a minimum of 4 years of relevant experience in Node.js with Azure Development. We are seeking a motivated and skilled Azure AAD Developer with expertise in crafting cloud-based solutions using Microsoft Azure and Node.js. This position is perfect for an individual who is enthusiastic about advancing in cloud-native development and contributing to the creation of scalable integration solutions. What You Will Do: Develop and manage integration workflows utilizing Azure Logic Apps and Azure Functions. Aid in the implementation of messaging solutions using Azure Service Bus, Event Grid, and Event Hub. Provide support for API development and management using Azure API Management. Work collaboratively with senior developers and architects to deliver scalable cloud solutions. Participate in code reviews, testing, and deployment processes. What You Will Need: Education & Experience: 4 to 6 years of experience in software development, with a minimum of 2+ years in Azure. BE/BTech degree in a technical field or equivalent combination of education and experience. Knowledge, Skills & Abilities: Proficiency in Node.js and JavaScript development. Experience in API and RESTful service development. Exposure to Azure integration tools and messaging services. Cloud Development Experience Azure (App services, API Management, Azure Function, Azure Logic Apps) AZ-204 certification is a plus. Hands-on experience with Azure Logic Apps, Azure Functions, Azure messaging services, API Management, Azure Service Bus, Event Grid, and Event Hub. Strong problem-solving and communication skills. [ Reporting Relationships: ]() Will report to a Manager, Product Delivery and has no direct reports. Working Conditions: The work environment will primarily be an air-conditioned office setting requiring the employee to sit for prolonged periods while concentrating on a computer screen. Requirements Requirements: 4-6 years of software development experience, with at least 2+ years in Azure BE/BTech degree in a technical field or equivalent combination of education and experience Proficiency in Node.js and JavaScript development AZ-204 certification is a plus