413 Network Administration Jobs - Page 6

Develop, maintain, and optimize automation scripts using Python and Bash. Understanding of cloud infrastructure using VMware and OpenStack. Design and execute stability, capacity, and robustness test plans to evaluate software performance under different conditions. Analyse test results and provide actionable insights to development teams for performance improvements. Collaborate with developers and product teams to understand application requirements and define performance criteria. Develop and maintain automated test scripts for performance testing. Monitor application performance in production and identify areas for improvement. Document testing processes, results, and findings clearly and comprehensively. Stay current with industry trends and best practices in performance and robustness testing. Manage the end-to-end life cycle of VNFs, including deployment, scaling, upgrading, and retirement

This role involves the development and application of engineering practice and knowledge in the following technologiesStandards and protocols, application software and embedded software for wireless and satellite networks, fixed networks and enterprise networks; connected devices (IOT and device engineering), connected applications (5G/ edge, B2X apps); and Telco Cloud, Automation and Edge Compute platforms. This role also involves the integration of network systems and their operations, related to the above technologies. - Grade Specific Focus on Connectivity and Network Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

This role involves the development and application of engineering practice and knowledge in the following technologies Standards and protocols, application software embedded software for wireless and satellite networks, fixed networks enterprise networks connected devices IOT and device engineering, connected applications 5G edge, B2X apps and Telco Cloud, Automation and Edge Compute platforms. This role also involves the integration of network systems and their operations, related to the above technologies. - Grade Specific Focus on Connectivity Network Engineering. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward. Skills (competencies)

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. Its everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance. Accentures S&C Global Network Data & AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, youll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. Were not just focused on increasing revenues our technologies and innovations are making millions of lives easier and more comfortable. But above all, were doing this responsibly and inclusively to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but thats why people love it here. You will be working with famous brands and household names no worrying about how to explain what you do to your family again! We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and were looking for the very best in the field to help us meet our ambitious goals in this space.Qualification Responsibilities: As a client-facing in Responsible AI, you will consult with Accentures clients on how todesign & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of clients business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Skillset : Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3 10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. Its everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance. Accentures S&C Global Network Data & AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, youll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. Were not just focused on increasing revenues our technologies and innovations are making millions of lives easier and more comfortable. But above all, were doing this responsibly and inclusively to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but thats why people love it here. You will be working with famous brands and household names no worrying about how to explain what you do to your family again! We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and were looking for the very best in the field to help us meet our ambitious goals in this space.Qualification Responsibilities: As a client-facing in Responsible AI, you will consult with Accentures clients on how todesign & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of clients business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Skillset : Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3 10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. Its everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance. Accentures S&C Global Network Data & AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, youll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. Were not just focused on increasing revenues our technologies and innovations are making millions of lives easier and more comfortable. But above all, were doing this responsibly and inclusively to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but thats why people love it here. You will be working with famous brands and household names no worrying about how to explain what you do to your family again! We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and were looking for the very best in the field to help us meet our ambitious goals in this space. Responsibilities: As a client-facing in Responsible AI, you will consult with Accentures clients on how todesign & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of clients business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Qualification Skillset : Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3 10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

To be UpdatedQualification To be Updated

Skill required: Network Operations - Problem Management Designation: Network & Svcs Operation Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Helps transform back office and network operations, reduce time to market and grow revenue, by improving customer experience and capex efficiency, and reducing cost-to-serveLooking for a candidate who has expertise in Networking and has good knowledge on fundamentals of NetworkThis team is responsible for managing problems caused by information technology infrastructure errors to minimize their adverse impact on business and to prevent their recurrence by seeking the root cause of those incidents and initiating actions to improve or correct the situation. What are we looking for May represent the team and actively help in the preparation of documents to support tenders for contracts Clean order validation of customer requirements to ensure smooth provisioning Allocated work by the Inbox Manager and then plans and manages own workload in line with team performance targets and customer satisfaction Liaises with various other departments including pre sales, product management, customer services and sales teams to ensure accurate data capture and provisioning Raises all orders and MACD requests onto the various CRM systems to ensure order completion is in line with SLA and accurate billing Proactively keeps the customer updated at all key stages of the order cycles May attend and actively contributes to customer service reviews to build and strengthen relationships Adhere to all documented processes & procedures Manage ad hoc projects and undertake additional tasks and responsibilities to ensure timely service deliveryAccurate records will be maintained to ensure MACD change requests can be completed in a timely manner, thus ensuring maintenance of a green order book and quality of service May work on multiple orders at once Supports both Consumer & Business accounts across the business Supports customers with contracts for multiple solutions across multiple 3rd party suppliers Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Skill required: Network Billing Operations - Problem Management Designation: Network & Svcs Operation Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Helps transform back office and network operations, reduce time to market and grow revenue, by improving customer experience and capex efficiency, and reducing cost-to-serveGood Customer Support Experience preferred with good networking knowledgeThis team is responsible for managing problems caused by information technology infrastructure errors to minimize their adverse impact on business and to prevent their recurrence by seeking the root cause of those incidents and initiating actions to improve or correct the situation. What are we looking for Revenue AssuranceExcel AnalyticsAbility to perform under pressureProblem-solving skillsDetail orientationResults orientationCommitment to quality Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

As an Enterprise Infrastructure Architect, you will be a part of the Fiserv s Technical Services team responsible for designing and implementing large-scale reliable platforms and applications across Cloud and On-Premises. working closely with internal technology teams, business teams, peer infrastructure & application architects. The Enterprise Infrastructure Architect will lead the technical effort to deliver infrastructure solutions that are technically sound, resilient to failure, operationally supportable, and meets the requirements of the business. You will be tasked with being the subject matter expert for our cloud and on-premises environments and be part of a team that builds and supports new applications. Delivery of the infrastructure solution requires a variety of skills, such as: cloud architecture, network, security, AI/ML and hands-on configuration of the cloud and On-Premises infrastructure. A high degree of collaboration with development and other teams is required to provide right level of agility within a defined delivery process. The role is required to be performed from Fiserv India offices providing overlap with US working hours for all 5 working days in a week. What you will do: Drive the technical roadmap, architecture, design, and solution architecture for enterprise application in Multi-Cloud and On-Premises environments. Lead the assessment, gap analysis, process improvement, and design of the end-state operating model for the platform. Design, build, and maintain platforms that support Cloud infrastructure, DevOps pipelines, and tools to manage various Monolithic and Microservices-based enterprise applications. Collaborate with cross-functional project teams to implement highly available infrastructure solutions for a multitude of cloud technologies. Develop and document comprehensive architecture blueprints outlining the configuration, integration, and implementation details. Research, evaluate, and recommend appropriate On-Prem & Cloud technologies, tools, and platforms to enhance enterprise capabilities. Establish best practices and the development/implementation of an enterprise CI/CD roadmap Stay updated with industry trends and emerging technologies to make informed decisions. Implement robust security measures to safeguard infrastructure systems (Cloud & On-Premises), including access controls, encryption, and vulnerability assessments. Collaborate with software developers, network engineers, and other IT professionals to ensure seamless integration of systems with other enterprise applications and services. Perform capacity planning to anticipate future infrastructure requirements. Design scalable solutions that can handle increasing workloads efficiently. Create detailed technical documentation, including system configurations, procedures, and troubleshooting guides. Collaborate effectively with stakeholders, project managers, and other team members to achieve project goals. Provide technical leadership and guidance to the team members that need the support. Participate in automation initiatives to achieve operational maturity. Use the core infrastructure engineering principles of change management, monitoring, emergency response, capacity planning, and production readiness reviews to run the infrastructure. Partner with security engineers and develop plans and automation to aggressively and safely respond to new risks and remediate security vulnerabilities. Technology Roadmap: Develop a technology roadmap that outlines the evolution and growth of the infrastructure to meet current and future business needs. Integration Planning: Plan the integration of new technologies into existing systems, considering compatibility, scalability, and security requirements. Security and Compliance: Collaborate with cybersecurity professionals to ensure that infrastructure designs adhere to security best practices and regulatory compliance. Solution Recommendations: Propose tailored solutions and recommendations to address clients infrastructure challenges, considering technology, budget, and business requirements. Implementation Support: Provide support during the implementation phase, working with internal teams or external vendors to ensure successful deployment of recommended solutions. What you will need to have: An Enterprise Infrastructure Architect needs to have the following key skills/behaviors: 17+ years of extensive experience in designing and implementing enterprise infrastructure solutions. Strong proficiency in both Linux distributions (e.g., Red Hat Enterprise Linux, Ubuntu Server) and Windows server platforms In-depth knowledge of system and network administration, virtualization, and cloud technologies. Experience in AWS/Azure/GCP managed services and infrastructure management Experience with configuration management tools (e.g., Ansible, Puppet) and containerization technologies (e.g., Docker, Kubernetes). Needs to have one OS Platform Certification, Red Hat Certified Engineer (RHCE) or Red Hat Certified Architect (RHCA) or Linux Professional Institute Certification (LPIC) or MCSA Professional certification and a Cloud associate certification, AWS/Azure/GCP Certified Solutions Architect or similar cloud certifications. Familiarity with scripting/programming languages (e.g., Bash, Python, PowerShell, Ansible, Terraform) for automation tasks. Should have solid experience in cloud-based AI and machine learning services offered by major providers such as AWS, Azure, and Google Cloud Platform Experience with CI/CD toolset (Gitlab, Harness, Jenkins, Github) Strong understanding of the OSI Model and how it relates to cloud computing. Expert level in managing the lifecycle of IaaS VMs - troubleshoot VM boot issues, Backup/Restore VM and Disks (Snapshot and Recovery Vault), Imaging, Resizing and Scaling VMs Exceptional analytical skills and the ability to see the connections between layers of business operations. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. What would be great to have: AWS/Azure/GCP Certifications: Solutions Architect Professional, or DevOps Engineer Professional. Cloud Security Posture/Governance/Entitlement management & Network Security knowledge Background in fintech or similar domains. Familiarity with agile and DevOps cultures. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Storage Area Networks (SAN) Architecture and Design Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will provide ongoing technical support and maintenance for production and development systems and software products. You will be responsible for configuring services on various platforms and implementing technology at the operating system-level. Your role will involve L1 and L2 troubleshooting and providing hardware/software support. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Ensure smooth functioning of production and development systems.- Perform regular maintenance and updates on software products.- Troubleshoot and resolve hardware and software issues.- Configure services on different platforms.- Implement technology at the operating system-level.- Collaborate with software vendors and brands.- Conduct L1 and L2 troubleshooting.- Provide basic and intermediate level support.- Manage and maintain server and network areas.- Ensure data integrity and security.- Monitor system performance and identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Storage Area Networks (SAN) Architecture and Design.- Good To Have Skills: Experience with virtualization technologies.- Strong understanding of server and network architecture.- Experience with hardware and software troubleshooting.- Knowledge of operating systems and software solutions.- Familiarity with different software vendors and brands.- Ability to perform L1 and L2 troubleshooting.- Excellent problem-solving and analytical skills. Additional Information:- The candidate should have a minimum of 5 years of experience in Storage Area Networks (SAN) Architecture and Design.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Lumen is seeking a highly skilled Network Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining network infrastructure to support our cutting-edge technology solutions. The ideal candidate will possess a strong understanding of networking concepts and protocols, as well as experience with both hardware and software components of network systems. Key Responsibilities: - Design and configure network systems, including routers, switches, and firewalls, to ensure optimal performance and security. - Monitor network performance and troubleshoot issues to ensure high availability and reliability of services. - Collaborate with cross-functional teams to support network-related projects and initiatives. - Implement security measures to ensure the integrity and confidentiality of data transmitted across the network. - Stay up-to-date with emerging technologies and industry trends to recommend improvements to existing network infrastructure. - Provide technical support and guidance to internal teams and customers as needed. Qualifications: - Bachelor s degree in Computer Science, Information Technology, or a related field. - Proven experience as a Network Engineer or in a similar role. - Strong knowledge of networking protocols (TCP/IP, BGP, OSPF, etc.) and technologies. - Experience with network monitoring tools and diagnostics. - Relevant certifications such as CCNA, CCNP, or equivalent are preferred. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration abilities. At Lumen, we value innovation, integrity, and teamwork. If you are passionate about building and maintaining robust network systems and are looking to make a meaningful impact, we encourage you to apply for this exciting opportunity. We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately.

Project Role : Operations Engineer Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement. Must have skills : Network Infrastructures Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Operations Engineer, you will support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement. Your typical day will involve ensuring the smooth functioning of production systems and services, addressing operational issues, and adhering to service agreements. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Monitor and maintain the performance of production systems.- Troubleshoot and resolve operational issues efficiently.- Implement changes to production systems as per operational requirements.- Collaborate with team members to optimize system performance.- Document operational procedures and best practices for future reference. Professional & Technical Skills: - Must To Have Skills: Proficiency in Network Infrastructures.- Strong understanding of network protocols and configurations.- Experience with network monitoring tools such as Wireshark or Nagios.- Knowledge of network security principles and best practices.- Hands-on experience in configuring routers, switches, and firewalls. Additional Information:- The candidate should have a minimum of 3 years of experience in Network Infrastructures.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Operations Engineer Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement. Must have skills : Network Infrastructures, Wireless, Meraki & Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : -Bachelors degree in information technology related field of study with a network/software engineeri Summary :As an Operations Engineer, you will support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement. You will play a crucial role in ensuring the smooth functioning of network infrastructures and providing technical support to resolve any issues that may arise. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Ensure the smooth functioning of network infrastructures.- Provide technical support to resolve any issues that may arise.- Collaborate with cross-functional teams to troubleshoot and resolve network-related problems.- Monitor network performance and identify areas for improvement.- Implement network security measures to protect against unauthorized access. Professional & Technical Skills: - Must To Have Skills: Proficiency in Network Infrastructures.- Strong understanding of network protocols and technologies.- Experience with network troubleshooting and diagnostic tools.- Knowledge of network security principles and best practices.- Good To Have Skills: Experience with cloud networking technologies. Additional Information:- The candidate should have a minimum of 2 years of experience in Network Infrastructures.- This position is based at our Gurugram office.- A Bachelor's degree in information technology related field of study with a network/software engineering focus is required. Qualification -Bachelors degree in information technology related field of study with a network/software engineeri

Skills Required : Experience with monitoring, network diagnostic and network analytics tools, Understanding of Network protocols Education/Qualification : B.Tech / M.Tech.

Greetings from Squirrel Softech Services – SAP Partner Company. AWS Networking (VPC, Subnets, NAT, Route 53) Linux Server Administration Network Troubleshooting Security Groups, NACLs, IAM Cloud Monitoring Tools Strong Communication

Location: Trivandrum Technopark Campus Experience: 10 - 12 years Employment Type: Full-time | On-site (US Shift) Role Overview: We are looking for a dynamic and skilled Network Engineer / Administrator with CCNA certification and a minimum of 10 years of hands-on experience in managing network infrastructure, firewalls, VPNs, and security systems. This role demands excellent communication skills and direct interaction with international clients , making client engagement and issue resolution a key part of the job. Role & responsibilities : Design, implement, and support network infrastructure for internal systems and client environments. Configure and troubleshoot routers, switches, firewalls, VPNs, and wireless networks. Monitor network performance and security, ensure uptime, and proactively resolve issues. Maintain system documentation, logs, and reports for audits and analysis. Interact regularly with international clients to understand requirements, provide updates, and deliver resolutions. Implement network policies, security standards, and best practices. SDN, SDWAN hands-on Experience Work closely with cross-functional teams including server admins, cloud engineers, and IT support teams. Provide Level 2/3 support for escalated network issues. Participate in client meetings, system audits, and infrastructure improvement initiatives. Required Skills & Qualifications 10 - 12 years of relevant experience in Network Engineering or Network Administration. Must have active CCNA certification . (Additional certifications like CCNP or security certifications are a plus.) Solid knowledge of Cisco hardware, networking protocols, VLANs, DNS, DHCP, routing, and switching. Experience working with firewalls, VPNs, IDS/IPS systems. Prior experience in a client-facing role with international customers is mandatory . Excellent verbal and written communication skills. Ability to manage and prioritize multiple tasks in a fast-paced environment. Bachelors degree in Computer Science, Information Technology, or related field. What We Offer: Opportunity to work in global environments and client projects. A collaborative, growth-oriented work culture. Exposure to cutting-edge technologies in infrastructure management. Competitive compensation and performance-linked benefits.

Education BE/B.Tech Master of Computer Application Work Experience Role & Responsibilities at Job: Defining Cloud Road Map, Security Management, approach & architecture Examine cloud apps and software on a regular basis Create and manage cloud-based systems Design & implement Axtria cloud privacy in collaboration with IT security Respond to technical difficulties in a timely and competent manner Cloud services Budgeting and continuous cost optimization, Ensuring cloud cost is always at optimum level, keeping track of how much cloud resources are being used and ensuring that the system is running smoothly. Translating project-specific requirements into a cloud structure that meets those requirements, as well as considering the project's resource use and scalability requirements. Designing the cloud environment from a comprehensive perspective, ensuring that it satisfies all Axtria needs Bringing new Axtria products into the cloud environment to completion. Provide training and assistance to all employees whose jobs need them to interact with the cloud structure. Working with CE and Business teams (as well as Axtria clients) to understand their requirements and put in place cloud solutions to satisfy those requirements Conducting migrations to transfer tools and other aspects into the cloud as needed. Using automation technologies to accomplish effective server administration for the business Successful execution of all the projects to complete OTOBOS Architecture Design & Build infra solutions on AWS/Azure Continuously enhancing knowledge and skills to remains abreast of the industry trends and updates on information security issues and data privacy topics Excellent communication and advocacy skills, both verbal and written, with the ability to understand and communicate technical and as well as compliance requirements Strong documentation skills in writing process documents, guidelines, checklists etc. Skill Set required: In-depth analytical skills Project and resource management skills IT architecture, infrastructure and cloud development Engineering and software architecture design DevOps practices Network administration, System and data security Business analysis techniques and processes Various operating systems, Database management, Web platforms In-depth knowledge of coding language(s) Qualifications: BE / BTech - CS ; IS Hands-on Scripting AWS Certified Solutions Architect Microsoft Certified Azure Solutions Architect Expert Google Professional Cloud Architect Behavioural Competencies Customer focus Problem solving Learning on the fly Drive for result Technical Competencies LINUX VmWare LAN

MG Road, Bangalore (Work from Office)- 6 Days Working Role & responsibilities Key Responsibilities Assist the IT Manager in planning and leading all computer-related activities within the organization Supervise and maintain the companys computing infrastructure (hardware, software, network, and security systems) Ensure network security, data backup systems, and disaster recovery protocols are robust and regularly updated Analyse system performance, identify vulnerabilities, and implement timely solutions Manage voice, video, and data communications systems Conduct audits and ensure proper documentation for compliance Oversee configuration and maintenance of servers, workstations, and networking equipment Support domain controller, Active Directory, firewall, and VPN applications Prepare and execute preventive maintenance schedules Implement IT audit findings and adhere to SOPs Technical Skills & Qualifications Bachelors degree in Computer Science or MCA Hands-on experience in network setup, system administration, and infrastructure troubleshooting Understanding of CAT5/6 cabling, switches, LAN/WAN, wireless networks, and Windows server environments Working knowledge of Active Directory, firewalls, VPNs, and backup systems Diploma in Computer Hardware & Networking is an added advantage

experience with Aruba Switching and Aruba Wireless technologies configuring and managing FortiGate Firewalls for security and access controls OSPF and BGP( IGP/EGP) ITIL processes CCNP and CCNA are highly preferred. security policy implementations

HPE Aruba networking skill is mandatory. HPE Aruba networking skill is must for the candidate. Establishes and maintains network performance. Builds network configurations for L2/L3 connections. Troubleshoots network between upstream to server connectivity CryoEM HPE high performance systems HPE Aruba networking IP management Establish/design network and system configuration and directing system installation. Defines, documents, and enforces network standards. Maximizes performance by troubleshooting network problems and outages and scheduling upgrades. Update servers and network equipment. Collaborates with network and server architects on network optimization. Secures network system by establishing and enforcing policies and defining and monitoring access. Network change, capacity management, and life cycle support Other network related responsibilities. Preferred candidate profile Perks and benefits

Position summary Gruve is looking for a skilled IT Systems Administrator to support and enhance our organization’s IT infrastructure with a primary focus on Microsoft technologies while also managing a diverse range of systems and platforms. This role involves overseeing server and network operations, supporting cloud and on-prem environments, and ensuring security, performance, and availability across IT assets. The ideal candidate has strong experience in Microsoft ecosystems while also being comfortable with general IT systems and network management. Key Responsibilities Microsoft Environment Management Administer Windows Server (2016/2019/2022), Active Directory , Group Policy , and DNS/DHCP services. Manage Microsoft 365 suite, including Exchange Online , Teams , SharePoint , and OneDrive . Support Azure Active Directory integration, Intune /Endpoint Manager for device policies, and cloud security controls. Create and maintain PowerShell scripts to automate administrative tasks and deployments. General Systems Administration Deploy, configure, and maintain physical and virtual servers (VMware, Hyper-V). Monitor system performance, availability, and capacity; proactively resolve bottlenecks or outages. Administer Linux servers for specific workloads or services (if applicable). Manage IT assets, inventory, and lifecycle planning. Network and Security Operations Maintain enterprise networking equipment: firewalls, switches, routers, VPNs (Cisco, Ubiquiti, or equivalent). Ensure robust network security , including patching, antivirus, endpoint protection, and SIEM integration. Implement and manage backup/recovery solutions and participate in disaster recovery planning/testing. Cloud and SaaS Support Manage hybrid environments involving Azure , AWS , or Google Cloud platforms. Support cloud-based storage, identity, and SaaS applications beyond Microsoft (e.g., Zoom, Slack, Atlassian). End-User and Tier 2/3 Support Provide escalated support for desktops, software, network connectivity, and account access. Collaborate with helpdesk and engineering teams to address recurring issues and implement root cause fixes. Documentation and Process Improvement Maintain up-to-date system/network documentation, runbooks, and change logs. Identify opportunities for automation, optimization, or standardization across the IT environment. Basic Qualifications Bachelor’s degree in computer science, Information Technology, or related field. 3–5+ years of experience in IT systems/network administration with significant Microsoft exposure. Windows Server, Active Directory, Azure AD, Microsoft 365 Cloud platforms like Azure, AWS, or GCP Endpoint management tools like Intune, or Jamf (for Mac) Preferred Qualifications VMware or Hyper-V Linux systems Cisco CCNA (LAN/WAN/VPN management) Work Environment Must be comfortable supporting global teams and working in PST or overlapping time zones when required.

Role & responsibilities: Responsible for complete IT Infrastructure management of the organization Provided functional and technical support, troubleshooting, and diagnosing Hardware and Software problems, including Desktop, Laptop, LAN, and Remote Systems Responsible for Procurement and Vendor Management E-Mail Client Configuration & Troubleshooting of Outlook Express, MS Outlook Maintenance of System Database, Inventory and Back up Providing remote support at pan India level Essential Skills: Excellent interpersonal and communication skills Requisite networking and Operating system knowledge Working Knowledge of MS office and other relevant software's Strong aptitude for customer relationships and willingness to travel.

Required experienced Network Administrator to manage and support our web portal infrastructure. Candidate will be responsible for ensuring high availability, optimal performance, and robust security across all servers and network components.

Job summary : System Analysts need strong analytical skills , problem-solving abilities, and a basic understanding of software development and business processes . If you're looking for a more detailed job description, you can check out this resource. Let me know if you need insights on skills or career growth! Job Title : System Analyst Location : Chennai ,Hyderabad ,Bangalore Experience : 0-2 Responsibilities: Analyse current systems and workflows to identify areas for improvement. Assist in gathering and documenting business requirements. Support the design and implementation of new systems or enhancements. Collaborate with developers and stakeholders to ensure system functionality. Conduct testing and validation of system changes. Qualifications: Bachelors degree in information systems, Computer Science, or related field. Basic understanding of system development life cycle (SDLC). Strong analytical and documentation skills. Familiarity with business process modelling tools is a plus. Effective communication and teamwork skills.