Responsibilities Adhere to processes, policies and procedures laid down by the organization with respect to Service Delivery / Project Delivery.  Enhance service levels to build customer trust & satisfaction & attain high level of CSAT.  Able to transform our customers Security on their Microsoft platforms through designing and implementing Microsoft Security technologies in the cloud.  Perform discovery, analysis, design, build, test and deployment of solutions.  Providing Projects plans, Scope and SOPs etc.  Comfortable meeting with clients and leading workshops.  Work with other consultants and sales team members to design and execute the technical implementation of Enterprise Mobility + Security solutions based on client requirements and design specifications.  Recommend a solution that aligns with the customer’s business needs and requirements (discuss benefits and risks). Experience Minimum 5 + Years of experience on Microsoft EMS Implementation & Deployment  Microsoft Certification on MS – 100, MS – 101, MS – 500 will be preferred & expected.  Deep and validated understanding of Microsoft Enterprise Mobility and Security technologies. 

Responsibilities  Lead end-to-end implementation of Microsoft Purview solutions for enterprise clients.  Design and deploy Data Mapping strategies and build a Unified Data Catalog.  Develop and enforce Data Governance frameworks aligned with regulatory and business requirements.  Configure and manage Data Loss Prevention (DLP) policies and Information Protection rules.  Implement and monitor Insider Risk Management protocols.  Drive adoption of Data Security Posture Management (DSPM) and DSPM for AI across client environments.  Collaborate with cross-functional teams including Security, Compliance, Legal, and IT Operations.  Provide technical documentation, training, and guidance to stakeholders.  Ensure alignment with regulatory standards and internal governance policies. Qualification & Experience Proven hands-on experience with Microsoft Purview in enterprise environments.  Strong understanding of data classification, sensitivity labels, and compliance policies.  Experience configuring and managing DLP, Information Protection, and Insider Risk Management. 

Responsibilities Conduct continuous monitoring and review of applicable High-Risk Deal Desk (HRDD) transactions to ensure compliance with internal policies. Provide guidance to stakeholders and approve or decline transactions based on compliance assessments. Review contracts, proposals, tenders, and supporting documentation to identify inconsistencies and potential risks, and recommend mitigation actions. Assess compliance with company policies and supplier requirements, identifying areas for improvement. Deliver trainings and awareness sessions to promote understanding of HRDD requirements across the organization. Engage with stakeholders on a daily basis to gather information necessary for analysis and decision-making. Provide recommendations for corrective actions to address identified issues and control gaps. Maintain accurate, detailed, and well-organized records; prepare comprehensive reports on activities and findings. Participate in internal and external audits, liaise with auditors, and support document collection processes. Contribute to the preparation of HRDD reports. Support continuous improvement of the HRDD process. Identify transactions that were not subject to prior review using available analytical tools and data sources. Actively contribute to embedding ethics and compliance principles across the organization.  Stakeholder management, with flexibility to support both India and APAC regions based on requirements.

ResponsibilitiesHandle L3 / major storage incidents Perform root cause analysis and preventive actions Design storage solutions for performance, availability, and scalability Lead storage migrations and consolidations Implement replication, snapshots, and DR solutions Optimize performance (IOPS, latency, throughput) Automate provisioning and reporting Lead firmware upgrades and platform refreshes Mentor L1/L2 engineers Technical Skills Advanced SAN/NAS architecture Storage performance tuning Replication technologies (SRDF, SnapMirror, Remote Copy) Storage virtualization Automation (Python, PowerShell, Ansible) Advanced troubleshooting tools

ResponsibilitiesExperienced and results-driven DevOps professional with 8–10 years of expertise focused on automating and optimizing infrastructure, continuous integration, and service reliability across cloud environments. Proficient in a comprehensive toolset essential for modern DevOps practices:Continuous Integration & Deployment (CI/CD): Deep knowledge of CI/CD pipelines leveraging Jenkins and Spinnaker for reliable software delivery automation, Operating Systems & Scripting: Proficiency in command-line interface (CLI) skills on Linux, coupled with extensive experience in automation scripting using Bash and Shell scripting languages, Monitoring & Observability: Experienced in implementing and managing enterprise-level monitoring and logging solutions, specifically Datadog, Splunk, and Dynatrace, to ensure system performance and rapid issue resolution, Version Control & Secrets Management: Adept at using Git and Bitbucket for source code management. Proficient in securing sensitive data and credentials using HashiCorp Vault., Service & Incident Management: Practical experience with service desk and workflow management tools, including Jira Service Management and ServiceNow.Service & Incident Management: Practical experience with service desk and workflow management tools, including Jira Service Management and ServiceNow.

ResponsibilitiesUse-case discovery & requirements Partner with business teams to understand workflows, pain points, and desired outcomes.Convert use cases into clear specs: user stories, data needs, constraints, and success metrics (what “good” looks like)Build prototypes using AI tools & lightweight engineering Rapidly build POCs/MVPs using AI tools and LLM APIs.Build simple internal apps or utilities (scripts, dashboards, small web apps) to prove value quickly.Experimentation & evaluation Run comparisons across model/tool choices; document findings and recommend what to scale.Create small test sets / evaluation rubrics so the team can measure quality over time.Knowledge management support (migration + automation) Support KM data migration and cleanup (structuring and tagging metadata) to make the knowledge base easily discoverable and usable via Gemini.Assist with pilots for internal KM search workflows (e.g., controlled testing before org-wide rollout)Qualification & ExperienceCuriosity, speed, and willingness to iterate based on feedback. CS / IS (or equivalent) background; comfortable writing code (Python/ JavaScript). Familiarity with LLM APIs, prompt engineering, embeddings, RAG, building basic web apps. Ability to talk to non-technical stakeholders, capture requirements, and explain trade-offs. Outcome-oriented, comfortable with ambiguity, and able to ship incremental improvements.

ResponsibilitiesData Management & Cleaning: Assist in cleaning, organising, and managing large datasets (survey, administrative, or satellite data) with a strong emphasis on accuracy and consistency. Geospatial & Remote Sensing Analysis: Support spatial data analysis using GIS tools such as QGIS, ArcGIS, or Google Earth Engine, including basic raster processing and mapping tasks. Programming & Data Processing: Write and maintain well-documented code in Python, R, or SQL for tasks such as data transformation, analysis, and automation of workflows. Collaborative Research Support: Work closely with senior researchers and fellow interns to contribute to policy-relevant research projects, including background research and data analysis. Qualification & ExperienceMaster’s, M.Phil., or Ph.D. in disciplines: Economics, Statistics, Computer Science, Geography, Urban Planning, Public Policy, Environmental Studies, or Related Quantitative Fields Proficiency in Python / R / SQL / GIS tools (QGIS, ArcGIS, or GEE) along with any data visualization tools (Tableau, Power BI, Plotly, etc.) is a must Any previous exposure to spatial econometrics/ machine learning/geospatial analytics/remote sensing will be advantageous Previous internship experience in working with large datasets(surveys, admin data, or satellite/remote sensing) is preferred Strong presentation skills with the ability to communicate complex ideas effectively Exceptional critical thinking and problem-solving skills Display strong interpersonal skills, humility, willingness to listen and excitement to learn at all times Self-driven, curious and adaptable personality with the ability to produce accountable work

ResponsibilitiesDevelop and test computer vision models using real-world and curated datasets. Handle image data preprocessing, annotation, and dataset management. Implement computer vision and deep learning techniques under the guidance of senior engineers. Evaluate model performance, benchmark results, and document findings clearly. Collaborate with the team to understand requirements and iterate on solutions. Support the AI engineering team with experimentation, applied research and prototyping.Qualification & ExperienceProficiency in Python with the ability to write scripts and handle data processing workflows. Basic familiarity with OpenCV, NumPy, TensorFlow, or PyTorch (at least one). Understanding of fundamental deep learning concepts (training, validation, loss functions, overfitting). Basic knowledge of image data handling and preprocessing. Awareness of modern AI concepts such as LLMs or Generative AI. Candidate of B.Tech / BCA / BSc / MCA / M Tech / Any equivalent degree (pursuing or completed). Prior project or coursework or certification specifically involving computer vision tasks.Familiarity with model fine-tuning or transfer learning approaches. Familiarity with YOLO and Pipelines Awareness of modern AI concepts such as LLMs or Generative AI. Understanding of model evaluation metrics such as precision, recall, and mAP.

ResponsibilitiesDesign, develop, and execute manual and automated test cases across functional, regression, integration, and end-to-end testing scenarios. Conduct API testing for REST, SOAP, and GraphQL APIs to validate functionality, reliability, and performance. Perform security and vulnerability testing to ensure data integrity and access control across systems. Use tools like Postman, cURL, Selenium, PyTest, RestAssured, and JMeter for test execution and automation. Participate in requirement analysis, prepare test plans, test scenarios, and maintain traceability. Log, track, and retest defects in collaboration with development teams using tools like Jira or open source tools. Contribute to CI/CD pipelines by integrating automated tests for continuous validation. Collaborate with developers, product managers, and DevOps teams to identify quality gaps and enhance overall product reliability. Maintain comprehensive test documentation, including test results, coverage reports, and improvement recommendations.Qualification & ExperienceExcellent in both manual and automation testing across multiple domains (functional, regression, API, and security). Knowledgeable about API architecture, HTTP methods, status codes, headers, and data formats (JSON, XML). Proficient with testing tools such as Postman, cURL, Selenium, JMeter, and open-source automation frameworks. Familiar with test management and bug-tracking tools like Jira, TestRail, or Zephyr. Skilled in API, performance, and security testing concepts. Strong in analytical thinking, debugging, and problem-solving. (Nice to have) Experience integrating automation with CI/CD pipelines (e.g., Jenkins, GitLab CI). (Nice to have) Prior experience or internship in QA, development testing, or product validation environments.

ResponsibilitiesYou w’ll convert Software Packages into Dockerfile(s) Maintain and map the life-cycle of a software component/package using Docker Implement and monitor tools like GitLab, GitHub Implement and improve monitoring and alerting. Experience in the tools like Nagios, Zabbix Implement cluster and broker technologies using Docker Implement and manage CI/CD pipelines preferably using Jenkins/Jenkins-X, Argo CD Implement an auto-scaling system for our Kubernetes nodes. Install various open-source components and debug issues related to software package installation in Docker/Kubernetes Environments, ELK, Kafka, Cassandra.Qualification & ExperienceOperations or systems administration experience, particularly on Linux. Passionate about Open Source Technologies and experience in dealing with open source packages. Knowledge on Docker, and/or cloud deployment technologies Strong understanding with container networking on Docker. Knowledge in Linux Internals and Shell/AWK/Sed scripting and Terraform Understanding application deployment by using CI/CD. Knowledge with monitoring tools like Prometheus, Grafana, Datadog, etc. Familiar with OCI, AWS, GCP, Azure and PaaS, IaaS, SaaS B.E or B.Tech in Computer Science or Electronics/Electrical is a MUST.