11759 Microsoft Azure Jobs - Page 45

Develop code and test case scenarios by applying relevant software craftsmanship principles and meet the acceptance criteria Complete the assigned learning path and contribute to daily meetings Deliver on all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles Take part in team ceremonies be it agile practices or chapter meetings Deliver high-quality clean code and design that can be re-used Actively, work with other Development teams to define and implement API's and rules for data access Perform bug-free release validations and produce test and defect reports Contribute to developing scripts, configuring quality and automating framework usage Run and maintain test suites with the guidance of seniors Support existing data models, data dictionary, data pipeline standards, storage of source, process and consumer metadata Profile required Strong inclination for programming skills. Complete understanding of front, middle and back-end programming concepts. Proficiency in one of the programming languages is added advantage. Ability to use designing and automation tools. Basic knowledge of CI practices. High learning agility. Excellent team player. Good communication skills. Basic knowledge of datasets in data catalog. Ability to manage and communicate data warehouse plans to internal stakeholders. Relevant experience required: min 12 years in Development and a technical consultant Candidates must possess ample knowledge and experience in .Net IntelliJ IDE for development, eclipse IDE, GIT for version control Hibernate, spring boot and Rest API Jenkins for automating build and deployment process Experience in cloud and azure implementation

Design, development and testing of components / modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a datalake architecture Contribute to the design, development and deployment of new features new components in Azure public cloud Contribute to the evolution of REST APIs in TOP enhancement, development and testing of new APIs Ensure the processes in TOP provide an optimal performance and assist in performance tuning and optimization Release Deployment Deploy using CD/CI practices and tools in various environments development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed Follow Agile at Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira. Organize training sessions on the core platform and related technologies for the Tribe / Business line to ensure the platform evolution is continuously updated to relevant stakeholders Profile required Around 4-6 years of experience in IT industry, preferably banking domain Expertise and experience in Java (java 1.8 (building API, Java thread, collections, Streaming, dependency injection/inversion), Junit, Big-data (Spark, Oozie, Hive) and Azure (AKS, CLI, Event, Key valut) and should have been part of digital transformation initiatives with knowledge of Unix, SQL/RDBMS and Monitoring Development experience in REST APIs Experience in managing tools GIT/BIT Bucket, Jenkins, NPM, Docket/Kubernetes, Jira, Sonar Knowledge of Agile practices and Agile at Scale Good communication / collaboration skills

Design, development and testing of components / modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a datalake architecture Contribute to the design, development and deployment of new features new components in Azure public cloud Contribute to the evolution of REST APIs in TOP enhancement, development and testing of new APIs Ensure the processes in TOP provide an optimal performance and assist in performance tuning and optimization Release Deployment Deploy using CD/CI practices and tools in various environments development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed Follow Agile at Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira. Organize training sessions on the core platform and related technologies for the Tribe / Business line to ensure the platform evolution is continuously updated to relevant stakeholders

Microsoft office 365, powershell scripting, entra ID, Azure AD, security policies, compliance settings, microsoft 365 administration, Exchange Online, Teams, One Drive Job Summary Looking for a Microsoft Office 365 Engineer with 46 years of experience in managing and supporting M365 services. The role focuses on administration, user lifecycle management, issue resolution, and security for core Microsoft 365 tools like Exchange Online, Teams, OneDrive, and Entra ID (Azure AD). Key Responsibilities: Administer and support M365 services Exchange Online, Teams, OneDrive, and SharePoint. Manage user provisioning/deprovisioning and access through Entra ID (Azure AD) . Handle day-to-day troubleshooting and serve as escalation point for M365-related issues. Monitor service health and perform system audits. Automate tasks using PowerShell scripts. Implement and support security policies , MFA , and compliance settings . Requirements: 4 to 6 years of hands-on experience with Microsoft 365 administration. Proficiency in Exchange Online , Teams , OneDrive , and Azure AD . Good knowledge of PowerShell scripting. Experience in email security, licensing, and compliance features. Strong communication and problem-solving skills.

Design, development and testing of components / modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a datalake architecture Contribute to the design, development and deployment of new features new components in Azure public cloud Contribute to the evolution of REST APIs in TOP enhancement, development and testing of new APIs Ensure the processes in TOP provide an optimal performance and assist in performance tuning and optimization Release Deployment Deploy using CD/CI practices and tools in various environments development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed Follow Agile at Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira. Organize training sessions on the core platform and related technologies for the Tribe / Business line to ensure the platform evolution is continuously updated to relevant stakeholders Around 4-6 years of experience in IT industry, preferably banking domain Expertise and experience in Java (java 1.8 (building API, Java thread, collections, Streaming, dependency injection/inversion), Junit, Big-data (Spark, Oozie, Hive) and Azure (AKS, CLI, Event, Key valut) and should have been part of digital transformation initiatives with knowledge of Unix, SQL/RDBMS and Monitoring Development experience in REST APIs Experience in managing tools – GIT/BIT Bucket, Jenkins, NPM, Docket/Kubernetes, Jira, Sonar Knowledge of Agile practices and Agile@Scale Good communication / collaboration skills

Design, development and testing of components / modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a datalake architecture Contribute to the design, development and deployment of new features new components in Azure public cloud Contribute to the evolution of REST APIs in TOP enhancement, development and testing of new APIs Ensure the processes in TOP provide an optimal performance and assist in performance tuning and optimization Release Deployment Deploy using CD/CI practices and tools in various environments development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed Follow Agile at Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira. Organize training sessions on the core platform and related technologies for the Tribe / Business line to ensure the platform evolution is continuously updated to relevant stakeholders Profile required Around 4-6 years of experience in IT industry, preferably banking domain Expertise and experience in Java (java 1.8 (building API, Java thread, collections, Streaming, dependency injection/inversion), Junit, Big-data (Spark, Oozie, Hive) and Azure (AKS, CLI, Event, Key valut) and should have been part of digital transformation initiatives with knowledge of Unix, SQL/RDBMS and Monitoring Development experience in REST APIs Experience in managing tools GIT/BIT Bucket, Jenkins, NPM, Docket/Kubernetes, Jira, Sonar Knowledge of Agile practices and Agile at Scale Good communication / collaboration skills

your Role In this Role you play key role in Maintain document repository of all contractual documents including change orders, SOWs, obligation artifacts etc. Extract and tracker the contractual obligations systematically by categorizing the criticality, priority and business impact. Interface with external and internal stakeholders for adequacy of coverage and support. Your Profile Contract Review and Analysis Review and Identify critical terms and risks in IT/BPO outsourcing Contracts. Identify contractual deliverables and obligations of the parties. Interpret contract language and provide analysis and recommendation to the Client Contract abstraction, administer and manage contracts post execution. Track and monitor contract deliverable an Working with Contract Management tools What you love about working here You can shape your with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders Skills (competencies)

Your Role We are hiring a GCP Kubernetes Engineer with 912 years of experience. Ideal candidates should have strong expertise in cloud-native technologies, container orchestration, and infrastructure automation. This is a Pan India opportunity offering flexibility and growth. Join us to build scalable, secure, and innovative cloud solutions across diverse industries. Design, implement, and manage scalable, highly available systems on Google Cloud Platform (GCP). Work with GCP IaaS componentsCompute Engine, VPC, VPN, Cloud Interconnect, Load Balancing, Cloud CDN, Cloud Storage, and Backup/DR solutions. Utilize GCP PaaS servicesCloud SQL, App Engine, Cloud Functions, Pub/Sub, Firestore/Cloud Spanner, and Dataflow. Deploy and manage containerized applications using Google Kubernetes Engine (GKE), Helm charts, and Kubernetes tooling. Automate infrastructure provisioning using gcloud CLI, Deployment Manager, or Terraform. Implement CI/CD pipelines using Cloud Build for automated deployments. Monitor infrastructure and applications using Cloud Monitoring, Logging, and related tools. Manage IAM, VPC Service Controls, Cloud Armor, and Security Command Center. Troubleshoot and resolve complex infrastructure and application issues. Your Profile 6+ years of cloud engineering experience with a strong focus on GCP. Proven hands-on expertise in GCP IaaS, PaaS, and GKE. Experience with monitoring, logging, and automation tools in GCP. Strong problem-solving, analytical, and communication skills. What you"ll love about working here You can shape yourcareer with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work oncutting-edge projects in tech and engineering with industry leaders or createsolutions to overcome societal and environmental challenges.

Your Role We are hiring an Azure ARC Engineer with 69 years of experience for our Bangalore and Mumbai locations. Candidates should have strong skills in hybrid cloud management, Azure services, and infrastructure automation. Join our dynamic team to drive innovation and deliver scalable, secure cloud solutions across enterprise environments. Azure Arc Implementation & Management Configure and manage Azure Arc to extend Azure services across on-premises, multi-cloud, and edge environments. Hybrid Cloud Integration Design and maintain seamless hybrid cloud solutions integrating on-premises infrastructure with Azure. Cloud Infrastructure Design Build scalable, secure, and cost-effective infrastructure using Azure services. Automation & IaC Develop automation scripts using ARM templates, Azure CLI, and PowerShell for streamlined deployments. Monitoring & Optimization Use Azure Monitor and Log Analytics to track performance and optimize resource usage. Security & Compliance Implement best practices for security, manage access controls with Azure AD and RBAC, and ensure policy compliance. Technical Support Provide expert-level support and troubleshooting for Azure Arc and related services. Documentation & Reporting Maintain detailed documentation and generate reports on infrastructure performance and incidents. Your Profile Azure Arc & Hybrid Cloud Expertise Deep understanding of Azure Arc and hybrid cloud architecture. Automation & Scripting Proficient in PowerShell, Azure CLI, and ARM templates. Cloud Infrastructure Management Experience with Azure VMs, storage, networking, and governance tools. Monitoring & Performance Tuning Skilled in Azure Monitor, Log Analytics, and cost optimization. Security & Identity Management Strong knowledge of Azure AD, RBAC, and cloud security best practices. What you"ll love about working here You can shape yourcareer with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work oncutting-edge projects in tech and engineering with industry leaders or createsolutions to overcome societal and environmental challenges.

Your role We are hiring a Cloud FinOps Professional with 912 years of experience for our Bangalore location. The ideal candidate will drive cloud cost optimization, financial governance, and cross-functional collaboration. Strong expertise in cloud platforms, budgeting, and cost analysis is essential. Join us to shape efficient cloud financial strategies. Define, create, and update cloud cost optimization strategies and plans. Measure, improve, and communicate financial performance and savings outcomes. Ensure process adherence and prioritize tasks aligned with FinOps goals. Approve savings plans and facilitate collaboration across engineering and finance teams. Provide FinOps best practice guidance and support integration with tools like Cloudability . Implement automation strategies such as autoscaling, rightsizing, and cost alerts. Enable budget management features based on user roles and access levels. Maintain detailed documentation and reporting on cloud spend and optimization efforts. Your Profile Hands-on experience with AWS, Azure, or GCP cloud platforms. Expertise in cost optimization , financial analysis , and FinOps principles . Proven ability to perform rightsizing, budget reviews, and generate FinOps reports. Familiarity with FinOps frameworks and cloud financial governance. Strong communication, collaboration, and problem-solving skills. What you"ll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.

Your role We are seeking an experienced and highly motivated Cloud Security Engineer to lead the implementation and optimization of security solutions across our public and hybrid cloud infrastructure. This role requires hands-on expertise in Microsoft Defender for Cloud, Cloud Access Security Broker (CASB), Cloud Workload Protection Platforms (CWPP), and Cloud Security Posture Management (CSPM) tools. The ideal candidate will be responsible for ensuring robust visibility, security, and compliance across all cloud-native assets, workloads, and applications. Design, deploy, and manage cloud-native security architectures across Azure, AWS, and GCP environments. Implement and optimize Microsoft Defender for Cloud, CASB solutions, and CWPP/CSPM tools to secure cloud workloads and assets. Monitor cloud environments for anomalies, vulnerabilities, and potential threats. Ensure compliance with regulatory standards (e.g., ISO, NIST, GDPR, HIPAA) and internal security policies. Conduct risk assessments and threat modeling of cloud services and applications. Collaborate with DevOps and Cloud Engineering teams to embed security into CI/CD pipelines. Develop automated security alerts, incident responses, and logging mechanisms. Provide recommendations for cloud architecture adjustments to strengthen security posture. Create and maintain documentation for cloud security strategies, policies, and procedures. Your profile Hands-on experience with Microsoft Defender for Cloud and CASB solutions (e.g., Microsoft Defender for Cloud Apps). Proven expertise with CWPP and CSPM platforms (e.g., Prisma Cloud, Wiz, Microsoft Defender CSPM). Strong understanding of cloud platforms Azure, AWS, GCP. Proficiency in scripting languages (e.g., PowerShell, Python) and infrastructure-as-code (e.g., Terraform, ARM templates). Knowledge of cloud security frameworks and best practices. Familiarity with SIEM solutions and cloud-native logging (e.g., Azure Monitor, AWS CloudWatch). Relevant certifications (e.g., Microsoft CertifiedAzure Security Engineer Associate, CISSP, CCSP, AWS Certified Security Specialty) are highly preferred. Excellent communication skills and stakeholder management experience.

Your role We are hiring an AWS & Terraform Engineer/SME/Architect with experience range 6 to 15 years for preferrably Bangalore location. Ideal candidate should be responsible for designing, implementing, and maintaining our cloud infrastructure. Ability to provision and manage the compute, storage and network services using Terraform. Good knowledge on Amazon EKS (Elastic Kubernetes Service) and database technologies. Work closely with our engineering, operations, and security teams to ensure that our platform is robust, scalable, and secure. Develop and maintain Infrastructure as Code (IaC) templates using Terraform for provisioning and managing AWS resources. Experience with Terraform state management and version control (e.g., Git). Manage Kubernetes clusters on Amazon EKS, including deployment, scaling, and monitoring of containerized applications Implement security best practices and ensure compliance with industry standards (e.g., HIPAA, GDPR) for cloud infrastructure and databases. Set up monitoring tools and implement performance tuning strategies to optimize the performance of cloud infrastructure and databases. Should have delivered 2-3 Projects on terraform from scratch. Good to have exposure on terraform enterprise Hands on Exposure to commonly used AWS services through automation EC2, Route53, EFS,S3, VPC endpoints, KMS, AWS Certificate Manager Experience in working on any of AWS Services such RDS, Elasticache, FSXonTap is nice to have Your profile Proficient in using Terraform to define and manage infrastructure as code. Experience with Terraform state management and version control (e.g., Git). Ability to design, implement, and maintain Terraform modules including entire lifecyle of terraform workflows Should have delivered 2-3 Projects on terraform from scratch. Good to have exposure on terraform enterprise Hands on Exposure to commonly used services through automation EC2, Route53, EFS,S3, VPC endpoints, KMS, AWS Certificate Manager What you"ll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.

Your role We are looking for an experienced OpenShift Administrator for Mumbai, Pune, Chennai, Hyderabad with 46 years of hands-on expertise in managing containerized applications, Kubernetes clusters, and CI/CD pipelines. The ideal candidate is proficient in automation, monitoring, and security best practices, with strong troubleshooting and scripting skills, and a solid DevOps mindset. Manage OpenShift management components and tenant environments. Implement, administer, and support OpenShift platforms and workloads. Perform workload migration from Docker to OpenShift. Maintain operational health of OpenShift and Kubernetes orchestration platforms. Install, upgrade, patch, and monitor container platform ecosystems. Troubleshoot and resolve issues in OpenShift clusters. Apply critical patches and ensure platform security. Collaborate with technical teams to support containerized application deployments. Maintain CI/CD pipelines using tools like Jenkins and Harness. Use configuration management tools such as Ansible and Chef. Administer and maintain RHEL Linux systems. Participate in the support and management of OpenShift container platforms. Your Profile OpenShift, Kubernetes, Docker CI/CD toolsJenkins, Harness Configuration toolsAnsible, Chef RHEL Linux administration Scripting and automation Security patching and monitoring What you"ll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.

3+ years of experience as a Snowflake Developer or Data Engineer. Strong knowledge of SQL, SnowSQL, and Snowflake schema design. Experience with ETL tools and data pipeline automation. Basic understanding of US healthcare data (claims, eligibility, providers, payers). Experience working with largescale datasets and cloud platforms (AWS, Azure,GCP). Familiarity with data governance, security, and compliance (HIPAA, HITECH).

8+ Years experience with atleast 2+ years exp as a Scrum Master Good understanding of scrum methodologies and processes. Finance Domain experience is mandatory Good Communication and Stakeholder Management skills Location: NAB Gurgaon 3-4 days a week mandatory from office. Mandatory Competencies Agile - Agile - SCRUM Beh - Communication GF and A - Finance and accounts domain knowledge Agile - Agile - sAFE Scaled Agile

Essential Skills/Basic Qualifications: 8+ year experienced DevOps professionals with in-depth Devops experience ( teamcity , nolio / jenkins , PowerShell scripting, Gitlab) and any add on tech Excellent experience in managing environments and DevOps tools. Knowledge and proven experience in one of the scripting languages (preferably PowerShell, Python, Bash). Knowledge and strong practical experience with CI/CD pipelines - Git, GitLab, deployment tools, Nexus, JIRA, TeamCity/Jenkins, Infrastructure-as-a-Code (Chef, or alternatives) Good knowledge of Unix systems and basic understanding of Windows servers Experience in troubleshooting Database issues. Knowledge of middleware tools like Solace, MQ Good collaboration skills Excellent verbal and written communication skills. Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Desirable skills/Preferred Qualifications: Good understanding of ITIL concepts (IPC, ServiceFirst) Experience with Ansible, other Configuration Management tools. Experience with Monitoring Observability solutions Elastic Search stack, Grafana, AppD. Experience with AWS or any other major Public Cloud service, as well as Private Cloud solutions, Big Data (Hadoop) Knowledge and practical experience with any database - MS SQL Server, Oracle, MongoDB, other DBMS. Strong muti-tasking and ability to re-prioritize activities, based on ever-changing external requirements. Stress resistance and ability to work and deliver results under pressure from the numerous parties. Creative thinking and problem solving, mindset oriented towards continuous improvement and delivering service of excellent quality. As a DevOps Engineer, responsibilities include: Work with technical leads and developers to understand applications architecture and business logic and contribute to deployment and integration strategies. Environment Management functions (building new environments refreshing existing ones). Providing operational stability for the key environments. Diagnosis and resolution of environment defects found during SIT and UAT test phases. Engineering DevOps Project Work, e.g., optimization of DevOps delivery (CI/CD). Contribute to the design of lightning-fast DevOps processes, including automated build, release, deployments, and monitoring, to reduce the overall time to market of various new and existing software components. Contributing to the delivery of complex projects in collaboration with global teams across Barclays, to develop new or enhance existing systems. Strong appreciation of development and DevOps best practices. Education Qualification Bachelors degree in Computer Science/Engineering or related field or equivalent professional qualification Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Cloud - Azure - Azure Bicep, ARM Templates, Powershell Development Tools and Management - Development Tools and Management - CI/CD Operating System - Operating System - Unix Database - Sql Server - SQL Packages Database - Oracle - Database Design Beh - Communication and collaboration

Looking for smart, curious and highly motivated engineers from an Application Support or Test Automation background, who have good experience in Python and SDLC . The ideal candidate who has the desire to work on Gen AI projects would have enrolled themselves in some Gen AI courses, and should have done some reading/exploration by themselves. The ideal candidate should have 4-10 years of practical work experience in areas like - integrating/managing APIs, async programming frameworks/libraries, state management , concurrency , containerization and telemetry. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Python - Python UI - Typescript Beh - Communication

Design, implement, and maintain data pipelines for processing large datasets, ensuring data availability, quality, and efficiency for machine learning model training and inference. Collaborate with data scientists to streamline the deployment of machine learning models, ensuring scalability, performance, and reliability in production environments. Develop and optimize ETL (Extract, Transform, Load) processes, ensuring data flow from various sources into structured data storage systems. Automate ML workflows using ML Ops tools and frameworks (e.g., Kubeflow, MLflow, TensorFlow Extended (TFX)). Ensure effective model monitoring, versioning, and logging to track performance and metrics in a production setting. Collaborate with cross-functional teams to improve data architectures and facilitate the continuous integration and deployment of ML models. Work on data storage solutions, including databases, data lakes, and cloud-based storage systems (e.g., AWS, GCP, Azure). Ensure data security, integrity, and compliance with data governance policies. Perform troubleshooting and root cause analysis on production-level machine learning systems. Skills: Glue, Pyspark, AWS Services, Strong in SQL; Nice to have : Redshift, Knowledge of SAS Dataset Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker ETL - ETL - AWS Glue DevOps/Configuration Mgmt - Cloud Platforms - AWS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) Database - Sql Server - SQL Packages

1. C#, Microsoft SQL Server or Azure SQL, Azure Cosmos DB, Azure Service Bus, Azure Function Apps, Auth0, Web Sockets 2. Strong development experience in C# and .NET core technologies built up across a range of different projects 3. Experience of developing API's which conform as much as possible to REST principles in terms of Resources, Sub Resources, Responses, Error Handling 4. Experience of API design and documentation using Open API 3.x YAML Swagger 5. Some familiarity with AWS, and especially Elastic Search would be beneficial but not mandatory. 6. Azure Certifications an advantage Mandatory Competencies Programming Language - .Net Full Stack - Angular Programming Language - .Net - .NET Core Beh - Communication and collaboration Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Cloud - Azure - ServerLess (Function App Logic App) Database - Sql Server - SQL Packages Programming Language - Other Programming Language - C# Middleware - API Middleware - Microservices Middleware - API Middleware - API (SOAP, REST)

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. 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

We are searching for a highly skilled and experienced Lead Software Engineer with expertise in Node.js to join our dynamic team. As a core member of our team, you will play a pivotal role in architecting, developing, and maintaining innovative applications while mentoring junior developers and driving technical excellence. Responsibilities Collaborate with product managers, designers, and developers to develop high-quality, responsive, and user-friendly web applications Design and implement architecture, ensuring code reusability, modularity, and scalability Write clean, efficient, and maintainable code using HTML, CSS, and JavaScript Develop server-side applications and RESTful APIs using Node.js, ensuring optimal performance and scalability Conduct code reviews, provide constructive feedback, and mentor junior developers to foster a culture of continuous improvement and growth Stay up to date with the latest trends and best practices in development and contribute innovative ideas to enhance the overall development process Collaborate with the quality assurance team to ensure thorough testing and bug fixing Troubleshoot and resolve production issues in a timely manner Requirements 8-13 years in software development, with at least 5 years as a Node.js developer Proven work experience as a Lead Developer (1+ year) Strong proficiency in Node.js and experience in building server-side applications and RESTful APIs In-depth knowledge in JavaScript, including ES6+ and TypeScript Knowledge of functional and object-oriented programming Hands-on experience in Nest Hands-on experience in Azure Proficiency with RESTful APIs Adept at writing Unit Tests Proficient understanding of code versioning tools, such as Git Nice to have Hands-on experience in GraphQL and Apollo

We are searching for a highly skilled and experienced Lead Software Engineer with expertise in Node.js to join our dynamic team. As a core member of our team, you will play a pivotal role in architecting, developing, and maintaining innovative applications while mentoring junior developers and driving technical excellence. Responsibilities Collaborate with product managers, designers, and developers to develop high-quality, responsive, and user-friendly web applications Design and implement architecture, ensuring code reusability, modularity, and scalability Write clean, efficient, and maintainable code using HTML, CSS, and JavaScript Develop server-side applications and RESTful APIs using Node.js, ensuring optimal performance and scalability Conduct code reviews, provide constructive feedback, and mentor junior developers to foster a culture of continuous improvement and growth Stay up to date with the latest trends and best practices in development and contribute innovative ideas to enhance the overall development process Collaborate with the quality assurance team to ensure thorough testing and bug fixing Troubleshoot and resolve production issues in a timely manner Requirements 8-13 years in software development, with at least 5 years as a Node.js developer Proven work experience as a Lead Developer (1+ year) Strong proficiency in Node.js and experience in building server-side applications and RESTful APIs In-depth knowledge in JavaScript, including ES6+ and TypeScript Knowledge of functional and object-oriented programming Hands-on experience in Nest Hands-on experience in Azure Proficiency with RESTful APIs Adept at writing Unit Tests Proficient understanding of code versioning tools, such as Git Nice to have Hands-on experience in GraphQL and Apollo

Job Title: AI Engineer – GenAI & ML Solutions Location: Pune / Mumbai (Hybrid Work Model) Experience: 2–4 Years (Minimum 2 Years in AI Development) Industry: Credit Rating & Financial Analytics About Us: Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state of the art solutions. As we embark on our next growth phase, we’re looking for a passionate AI Engineer to propel our AI capabilities into the future — redefining how financial intelligence is powered and delivered. Why Join Us? Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques. Collaborate with dynamic global teams spanning finance, technology, and client solutions. Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes. Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. What You’ll Do: Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We’re Looking For: Experience & Skills: 4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: - Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: - Computer Science - Any Engineering discipline - Mathematics or related quantitative fields.

Job Title: Senior AI Engineer – GenAI & ML Solutions Location: Pune / Mumbai (Hybrid Work Model) Experience: 4–7 Years (Minimum 2 Years in AI Development) Industry: Credit Rating & Financial Analytics About Us: Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state of the art solutions. As we embark on our next growth phase, we’re looking for a passionate AI Engineer to propel our AI capabilities into the future — redefining how financial intelligence is powered and delivered. Why Join Us? Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques. Collaborate with dynamic global teams spanning finance, technology, and client solutions. Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes. Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. What You’ll Do: Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders — to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We’re Looking For: Experience & Skills: 4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: - Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: - Computer Science - Any Engineering discipline - Mathematics or related quantitative fields.

Job Summary We are seeking a highly skilled Sr. Developer with 6 to 9 years of experience in Azure Databricks Azure Data Factory Azure ML Studio ML Ops Docker AI & ML Concepts Machine Learning Artificial Intelligence Kubernetes Terraform and Azure Machine Learning. The ideal candidate will work from our office during day shifts and will not be required to travel. This role is crucial in driving our AI and ML initiatives to enhance our business solutions and impact society positively. Responsibilities Develop and implement advanced machine learning models using Azure ML Studio to solve complex business problems. Design and manage data pipelines with Azure Data Factory to ensure efficient data flow and processing. Utilize Azure Databricks for big data analytics and machine learning model training. Implement ML Ops practices to streamline the deployment and monitoring of machine learning models. Use Docker to containerize applications and ensure consistent environments for development and production. Apply AI and ML concepts to create innovative solutions that improve business processes. Collaborate with cross-functional teams to integrate machine learning models into existing systems. Manage Kubernetes clusters to orchestrate containerized applications. Use Terraform for infrastructure as code to automate the provisioning of cloud resources. Ensure version control and collaboration using GIT for all development activities. Provide technical guidance and mentorship to junior developers on the team. Conduct code reviews to maintain high-quality standards and best practices. Stay updated with the latest advancements in AI and ML to continuously improve our solutions. Qualifications Must have extensive experience with Azure Databricks Azure Data Factory and Azure ML Studio. Should have a strong understanding of ML Ops practices and Docker. Must be proficient in AI & ML Concepts Machine Learning and Artificial Intelligence. Should have experience with Kubernetes and Terraform for managing cloud infrastructure. Must be skilled in using GIT for version control and collaboration. Nice to have experience in other cloud platforms and related technologies. Should possess excellent problem-solving skills and the ability to work in a team environment. Must have strong communication skills to effectively collaborate with stakeholders. Should be detail-oriented and able to manage multiple tasks efficiently. Must be committed to continuous learning and staying updated with industry trends. Should have a proactive approach to identifying and addressing potential issues. Certifications Required Azure Data Engineer Associate Azure AI Engineer Associate Certified Kubernetes Administrator