Experience Required: Minimum 1 to 3 years of hands-on experience in cloud-based contact center platforms like Amazon Connect, Genesys Cloud, Twilio Flex, Avaya Cloud, etc. with expertise in designing, implementing, and supporting enterprise-grade contact center solutions. Role Description: Candidate should be leading solutioning, consulting and will play a crucial role in client demos, new deal support, and advanced feature enablement across Amazon Connect or other equivalent platforms. Resource should be able to go beyond Day 2 operations, working closely with clients and sales teams to design scalable solutions, propose platform enhancements, and showcase new capabilities (AI/ML, integrations, automation). Key Responsibilities: Design and architect scalable contact center solutions on Amazon Connect or similar platforms. Propose enhancements and innovations such as AI-driven interactions, conversational AI, multimodal channels, and advanced reporting. Partner with sales teams for client discussions, workshops, proposals, and RFPs. Build and deliver proof-of-concepts (POCs) and live demos highlighting contact center capabilities (AI/ML, Lex/Polly or equivalents, third-party integrations). Design and implement contact flows, queues, routing profiles, chatbots, and dashboards. Integrate with enterprise directories (AD DS, Azure Entra ID, Okta), CRMs (Dynamics, Salesforce), ITSM tools (ServiceNow, others). Provide input for Day 2 managed services model (team structure, billing mechanisms, optimization strategies). Implement conversational flows (Amazon Lex or similar NLP engines). Leverage multi-language text-to-speech (TTS) tools like Amazon Polly or platform equivalents. Enable multimodal channels: voice, chat, SMS, WhatsApp, web, mobile apps. Design custom reporting (CDR, wallboards, customer journey analytics). Implement post-call surveys, callbacks, compliance workflows (PINs, TC playback). Drive best practices for governance, scalability, and cost optimization. Required Skills Expertise: Strong background in cloud contact center platforms (Amazon Connect or similar). Hands-on experience with integrations (AWS Lambda/APIs, CRMs, ITSMs, SSO providers like Okta/AD). Knowledge of call center processes: IVR, routing, workforce optimization, reporting. Familiarity with AI/ML features (NLP, chatbots, automation). Certifications (Preferred but not mandatory): AWS Certified Solutions Architect (Associate/Professional) OR equivalent cloud certification. AWS Machine Learning / AI Specialty or other NLP/AI-related certifications. Platform certifications (Amazon Connect, Genesys Cloud CX, Twilio Flex, etc.) are a plus. nan
Day-to-day operational and technical support for Azure cloud IaaS/PaaS and all Server systems on Linux/Windows Platform. Proficient in Azure Cloud IaaS, PaaS administration and monitoring. Be part of the team that supports customers Cloud deployments in 24x7 operational support system Participation on SEV1/2 Incidents, Problems & Changes Should be aware of ITIL processes manage Escalations as well as customer interaction Improve monitoring and alerting systems by appropriate usage of automation tools The candidate should manage all activities in cloud environment To be in the roster call out and be available for on-call support as needed. Plan & implement service continuity measures, i.e., backup/restore procedures & disaster recovery plan, to ensure continuous operation of the business. Qualifications/Skills: Working knowledge on: Microsoft Azure, Unix, Windows Experience implementing, monitoring and maintaining Microsoft Azure solutions. Deployment, testing, delivery and maintece for the full life cycle of activities related to Systems and subscriptions on Public Cloud Designing and implementing solutions leveraging Cloud Components: COMPUTE, STORAGE, NETWORK, SECURITY, GOVERNANCE Compute: Deploy, manage, and monitor VM s, VMSS, Azure App Services, etc Storage: Tables, Files, Disk, Blobs, Data Lake, Data Share, Backup Network: Virtual Networks, Virtual WAN, VPN (S2S, P2S), DNS, Firewall, Content Delivery, Load Balancer, Application Gateway and Traffic manager Backup : Azure recovery service vault, Business continuity, ASR, Backup Policies Update Management: Kace, Azure Update Management, WSUS Security : Azure AD, On-Prem AD , Front Door, Key Vault. Goverce : Azure Portal, Cloud Shell, Azure Monitor, Azure Advisor. Azure Featured Components: App Service, API Management, Event Hub, Functions App Ability to identify issue at Azure level and resolve PowerShell and Unix shell scripting skills Linux system administration tasks including configuration, troubleshooting, and automation. Excellent written and verbal communication skills Education and Experience Requirements: 5-8 years of IT Infrastructure related experience. 3+ years of experience with Windows supporting enterprise class applications. Minimum 3 years of experience in Azure administration Knowledge of AWS will be a plus Experience in Sentinel, Security Centre, Microsoft Defender for Cloud will be big plus Bachelor s degree in computer science or a related field Preferred Certifications - Microsoft Certified: Azure Administrator Associate Experience with Linux and Windows Server environments knowledge of CICD, ARM, Bicep, Terraform/Ansible for automation will be a plus. ITSM Technologies (JIRA, ServiceNow) awareness and usage Problem solving skills and ability to think algorithmically Able to work under pressure and odd hours Non-Technical / Soft Skills Good team player/leader Self learner
Job Title: AWS Data Engineer Company Name: NCSi Job Description: NCSi is seeking a skilled AWS Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing and building robust data pipelines, developing data integration processes, and optimizing database performance in cloud environments. You will work collaboratively with data scientists, analysts, and other stakeholders to ensure data accuracy, reliability, and accessibility across the organization. Your role will also involve implementing best practices in data governance and security, as well as leveraging AWS services to support data analytics and reporting needs. Key Responsibilities: - Design, develop, and maintain data pipelines using AWS services such as AWS Glue, Amazon Redshift, and Amazon S3 - Collaborate with data scientists and other team members to gather requirements and create data solutions that meet business needs - Optimize databases and data processing workflows for performance and efficiency - Implement data governance and security protocols - Troubleshoot and resolve data issues quickly and effectively - Monitor and optimize cloud expenditures related to data storage and processing - Stay updated with the latest AWS features and data engineering best practices Skills and Tools Required: - Proficiency in AWS services, specifically AWS Glue, Amazon Redshift, Amazon S3, and AWS Lambda - Strong knowledge of SQL and experience with NoSQL databases - Familiarity with ETL (Extract, Transform, Load) processes - Experience with data modeling and data warehousing concepts - Knowledge of programming languages such as Python, Java, or Scala - Understanding of data governance and security best practices - Strong problem-solving skills and attention to detail - Excellent communication and teamwork abilities - Experience with version control systems (e.g., Git) Preferred Qualifications: - Bachelors degree in Computer Science, Information Technology, or a related field - Experience in working with large datasets and big data technologies (e.g., Amazon EMR, Apache Spark) - AWS Certified Data Analytics or Big Data certification is a plus Join NCSi and contribute to our mission of leveraging data to drive innovation and business success. If you have a passion for data engineering and the AWS ecosystem, we encourage you to apply!
1 Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks 2 Ensure data pipelines run smoothly and efficiently 3 Developing scalable and re-usable frameworks for ingesting of data sets 4 Integrating the end-to-end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times 5 Working with event based / streaming technologies to ingest and process data 6 Working with other members of the project team to support delivery of additional project components (API interfaces, Search) 7 Evaluating the performance and applicability of multiple tools against customer requirements 8 Technically competent in Cloud and Databricks to provide technical advice to the team and to be involved in issue resolution 9 Provide on-call support and afterhours/weekend support as needed 10 Fulfill Service Requests related to Data Analytics platform 11 Lead and drive optimization and continuous improvement initiatives 12 Play gate-keeping role and conduct technical review of the changes as part of release management 13 Understand various data security standards and adhere to the required data security controls in the platform 14 Lead the design, development, and deployment of advanced data pipelines and analytical workflows on the Databricks Lakehouse platform. 15 Collaborate with data scientists, engineers, and business stakeholders to build and scale end-to-end data solutions. 16 Own architectural decisions and ensure adherence to data goverce, security, and compliance requirements. 17 Mentor a team of data engineers, providing technical guidance and career development. Implement CI/CD practices for data engineering pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins. Essential for this role: Education and Qualifications: Bachelor s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent. Minimum seven plus years of experience in data analytics field Experience with Azure/AWS Databricks Experience in building and optimizing data pipelines, architectures and data sets Excellent experience in Scala or Python, PySpark and SQL Ability to troubleshoot and optimize complex queries on the Spark platform Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS Hands on experience in performance tuning and optimizing code running in Databricks environment Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment Technical / Professional Skills : Excellent communication skills / should interact directly with the customer Azure/AWS Databricks Python / Scala / Spark / PySpark HIVE / HBase / Impala / Parquet Sqoop, Kafka, Flume Very Strong SQL and RDBMS Airflow Jenkins / Bamboo Github / Bitbucket Nexus Knowledge on Delta Live Tables (DLT) will be an added advantage Good to have: Relevant accredited certifications for Azure, AWS, Cloud Engineering, and/or Databricks Data Engineering expertise in Big Data Management using Cloudera, Python, Hive, Scala, Data Warehouse, Data Lake, AWS, Azure
Essential for this role: Education and Qualifications: Bachelor s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent. Minimum seven plus years of experience in data analytics field Experience with Azure/AWS Databricks Experience in building and optimizing data pipelines, architectures and data sets Excellent experience in Scala or Python, PySpark and SQL Ability to troubleshoot and optimize complex queries on the Spark platform Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS Hands on experience in performance tuning and optimizing code running in Databricks environment Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment Technical / Professional Skills : Excellent communication skills / should interact directly with the customer Azure/AWS Databricks Python / Scala / Spark / PySpark HIVE / HBase / Impala / Parquet Sqoop, Kafka, Flume Very Strong SQL and RDBMS Airflow Jenkins / Bamboo Github / Bitbucket Nexus Knowledge on Delta Live Tables (DLT) will be an added advantage Good to have: Relevant accredited certifications for Azure, AWS, Cloud Engineering, and/or Databricks Data Engineering expertise in Big Data Management using Cloudera, Python, Hive, Scala, Data Warehouse, Data Lake, AWS, Azure 1 Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks 2 Ensure data pipelines run smoothly and efficiently 3 Developing scalable and re-usable frameworks for ingesting of data sets 4 Integrating the end-to-end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times 5 Working with event based / streaming technologies to ingest and process data 6 Working with other members of the project team to support delivery of additional project components (API interfaces, Search) 7 Evaluating the performance and applicability of multiple tools against customer requirements 8 Technically competent in Cloud and Databricks to provide technical advice to the team and to be involved in issue resolution 9 Provide on-call support and afterhours/weekend support as needed 10 Fulfill Service Requests related to Data Analytics platform 11 Lead and drive optimization and continuous improvement initiatives 12 Play gate-keeping role and conduct technical review of the changes as part of release management 13 Understand various data security standards and adhere to the required data security controls in the platform 14 Lead the design, development, and deployment of advanced data pipelines and analytical workflows on the Databricks Lakehouse platform. 15 Collaborate with data scientists, engineers, and business stakeholders to build and scale end-to-end data solutions. 16 Own architectural decisions and ensure adherence to data goverce, security, and compliance requirements. 17 Mentor a team of data engineers, providing technical guidance and career development. Implement CI/CD practices for data engineering pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins.
Responsibilities (Automation Developer ODC) Develop automation scripts, applications, APIs that adhere to standard software development methodologies (documentation, code reviews, unit testing etc.). Develop and enhance product features that provide automation, fault detection, recovery, diagnostics, system monitoring, telemetry, dashboard, and reporting. Implement software integrations between systems and applications both client and server-side. Write technical documentation. Troubleshoot, debug and upgrade software. Requirements Bachelor s degree in Computer Science, Computer Engineering, or a software related discipline. At least 3 years of working experience. Good knowledge and hands-on experience in backend and web application developments (Microsoft PowerApps, Microsoft PowerBI, MS-Copilot, Linux, Web-Service API, Python, MySQL, PostgreSQL DB etc.). Working knowledge of SDLC and Agile development methodologies (Scrum, DevOps, CI/CD). Certification in Microsoft PowerApps, Microsoft s Copilot Studio, ITIL and relevant programming languages, etc. would be an added advantage. Understanding with automation, containerisation, and orchestration using tools such as GitHub, Ansible, Chef, Docker, Jenkins, SonarQube, Kubernetes, Jira etc. would be an added advantage. Good organizational and task management skills. Good in English communication, both verbal and written
We are seeking a highly skilled and experienced Network Security Engineer to join our team. The ideal candidate will have a strong background in network security, hands-on experience with advanced security tools, and the ability to design and enforce security policies. Responsibilities: Develop and implement network security policies and procedures. Monitor and analyze network traffic to identify and mitigate security threats. Perform regular security audits and vulnerability assessments. Respond to and investigate security incidents and breaches. Maintain and update firewall configurations and other security tools. Collaborate with IT teams to design secure network architectures. Provide guidance and mentorship to junior security engineers. Stay current with emerging cyber threats and security trends. Skills: Firewall management Palo-Alto, FortiGate, Checkpoint, ASA Routing and switching Network traffic analysis Virtual Private Network (VPN) technologies Cisco umbrella Meraki switch, WLC and AP. Good hands on troubleshooting experience with LAN and WAN SD-WAN Load-Balancer
Job Summary: The Intune Administrator is responsible for deploying, configuring, and managing Microsoft Intune to ensure secure and efficient management of the organizations Devices, mobile devices and applications. The role involves collaborating with various IT teams to implement security policies, troubleshoot issues, and provide end-user support. Key Responsibilities: Intune SME / L2 roles and responsibilities - Experience 3+ years in Intune operations. Responsible for installation/implementation and configuration of Profiles/ policies. Major role includes providing Solutions, Implementation, configuration and troubleshooting of various platforms. (Windows, Android & iOS) Intune Compliance and configuration profiles (Policies) for all the platforms (Windows10/11, Android & iOS) PowerShell scripts for creating policies and pushing them via Intune. Windows 10 update Rings and Windows 10 features updates. Application packaging and deploying via Intune. Windows 10 Autopilot via Intune Bitlocker Encryption through Intune. Security Baseline policy deployment Intune Deployment Profiles. (Azure AD Join & Hybrid Join) Azure AD Users and Groups Conditional Access Policies. Creating technical Documentation for new or existing services and Report creation. Intune Tenant Administration End-Points Life cycle management like feature update, upgrades etc. Assisting in design and implementation of the IT infrastructure, troubleshooting and provide solutions for problems and conflicts. Azure AD Password policies. Application Delivery infrastructure design and deployment for Windows 10, Android, iOS. Maintain an awareness of current developments in Digital Workplace and conduct research and development of new technologies. Provide advice, both reactively and pro-actively, to customers, projects and colleagues. Coordinate project activities across customer, vendor and teams (Cloud, Server, Network etc). Intune Troubleshooting. Intune Reports & Endpoint analytics. Microsoft Defender. Coordinating service set up in the customer environment. Configuration of Windows Autopilot, deployment of OS upgrades and application along with MDM, MAM policies Manage, maintain, support, troubleshoot and optimize mobile solution presently in place while making suggestions and adjustments to future needs. Understanding of SSO and MFA technologies for SaaS applications. Understanding of Azure AD Connect and Azure AD directory service for managing cloud identity. Application onboarding, provisioning & deployment via Intune platform. Good knowledge on application packaging. Supporting Proof of Concept for new services/technologies. Deliver all services following ITIL methodology for Service Creation & Creating SOW. Requirements: Diploma/ Degree in Information Technology, Electrical / Electronic, Information Systems or equivalent discipline Required 6-8 Yrs experience and 3+ years of relevant experience in Intune administration Good analytical and problem-solving skills Possess initiative with positive working attitudes and customer services oriented Independent, resourceful and goal-oriented Strong teamwork, communication and interpersonal skills Manage and mentor a team of 3-5. ITIL v4 Foundation Certification (Good to have) 24x7, After office hours on-call standby
NCS Pte Ltd is looking for Java Fullstack Developer to join our dynamic team and embark on a rewarding career journey. A Java Full Stack Developer is responsible for designing, developing and maintaining the full stack of an application using Java programming language. They are expected to have expertise in both front - end and back - end development, as well as the ability to integrate the two. Key responsibilities include : Design, develop, and maintain both client - side and server - side applications. Write clean, efficient, and well - documented code. Develop and implement RESTful APIs. Collaborate with other developers to integrate user - facing elements with server side logic. Test and debug applications. Stay up to date with emerging trends and technologies in web development. Requirements for the role include : Strong experience with Java and Java - based web development frameworks. Good knowledge of front - end technologies such as HTML, CSS, JavaScript, and Angular or React. Experience with databases (e. g. , MySQL, MongoDB) and ORM (Object Relational Mapping) frameworks. Familiarity with Agile software development methodologies. Good understanding of RESTful API design. Ability to write well - documented, reusable, and testable code. Disclaimer : This job description has been sourced from a public domain and may have been modified by Naukri. com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.