620 Vlan Jobs

Clear Pass: Job Description TAC Designation: Engineer Networking Role: L1 Engineer Location: Chennai (Ambit IT Park) Shifts: Flexible to work in Night Shifts Job Responsibility: Troubleshoot/Diagnose all Level 1 issues from the customers and driving satisfactory resolution of the issues. Troubleshoot Product, Codes and Configuration issues Ensure consistent customer satisfaction Document all communication with customers in the CRM Interface with international customers (via Phone Support) Timely handoff (escalation) of cases that require technical or political to L2 TAC Primary Skills: OSI layers detailed understanding of each layers function and relevant protocols that operates at each level TCP/IP thorough understanding and clear explanation about windowing/handshake mechanism MAC header structure and use of each fields IP header structure and use of each fields ARP how ARP works in a Layer 2 and Layer 3 communication Mac address table fields and how a switch uses MAC table for switching decisions ARP table and how a switch uses ARP table Routing Table fields and how a Router uses routing table for routing decisions DHCP protocol messages (clear understanding of DORA process) DHCP operation in layer 2 and layer 3 scenarios (server & client in same vlan or different VLAN) thorough understanding of Broadcast domain and Collision Domain thorough understanding of Unicast, Multicast and Broadcast traffic thorough understanding of Subnetting, Vlan, VTP, 802.1q, STP, Linkage thorough understanding of RIP (version 1 and 2) and OSPF (link states, LSA types, area types, router types, neighbor communication) Difference between Routing and Routed protocols Good troubleshooting approach (from Level 1 to 7 of OSI) Look into Wireshark capture ARP learning process and it's flavour How switch learns the mac address DHCP server and Client communication in same network and different network OSI headers Protocol and port number working OSI layer model and its learning of encapsulation and decapsulation IP Addressing and Subnetting Difference between layer two and three switch DHCP, Switching and Routing with OSI headers STP Vlan Trunk and Access port how switch learns the mac address How ARP learns the mac address in same subnet and different subnet Difference between hub, layer2 switch and layer 3 switch and router DHCP DORA process sender IP, mac and port number and destination IP, mac and port number OSI: how to troubleshoot in network with help of OSI model. Data link header Ip header TCP header

Job Summary NetApp is developing new portfolio of data-centric storage platforms and services to help the world's leading organizations harness their data in new and interesting ways. The Core Software team is a high-performance engineering team responsible for building the fundamental software to manage the ONTAP software product. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud and on premise solutions. This position requires an individual to be creative, team-oriented, a quick learner and driven to produce results. This is a wonderful opportunity to work on a high-powered team delivering an industry changing product within an extremely high growth sector of the tech industry. As a software engineer you will work as part of an exceptionally talented engineering team responsible for driving product development and strategy. The overall focus of the team will be on delivering innovative technologies to address competitive market and customer requirements with enterprise-class product quality and time-to-market. The team will also be responsible for maintenance & enhancements to existing technologies & products. Essential Functions • Apply current software engineering skills and use up-to-date technologies to contribute to team deliverables • Contributions to Design, Coding, Debug & Test, Performance analysis & improvement tasks • Contributions to technical discussions within the immediate team and across functions • Be a technical resource to other engineers and across functions • Willingness to work on additional tasks and responsibilities that will contribute towards team, department and company goals. Job Requirements • Knowledge and experience in computer operating systems, hardware architecture and design, data structures and standard programming practices; systems programming in C is highly desirable • Experience with development with C/C++ in LINUX/UNIX environments • Strong algorithms, data structures and multi-threaded programming experience is preferred. • Ability to work collaboratively with other engineers • Knowledge of storage or cloud technologies • Strong oral & written communication skills • Knowledge of Networking Protocols – TCP / IP, UDP / IP, VLAN etc. is preferable Education Typically requires a Bachelor's degree with a minimum of 2 years relevant experience, a Master's degree with no experience, or equivalent work experience.

The role involves designing, solutioning, and supporting complex IP/MPLS and Segment Routing networks for government and enterprise clients. The individual will collaborate closely with customers, sales, and engineering teams to deliver high-quality network solutions, drive large-scale infrastructure projects, and provide technical leadership in pre-sales engagements, with a focus on innovation, scalability, and performance. You have: Bachelors degree in engineering with 10+ years of industry experience, including at least 4 years in a customer-facing role. Strong expertise in IP/MPLS and Segment Routing network design and architecture. Solid understanding of protocols and technologies such as Netconf, Telemetry, and gRPC. Hands-on experience on IP/MPLS router. Proven track record in pre-sales or solutioning for IP routing networks across government, large enterprises, MSOs, or service providers. Good understanding of Data Centre Fabric (DCF) solutions and SDN architectures. Strong communication and presentation skills with the ability to engage stakeholders and customers effectively. Experience in large-scale IP infrastructure projects (e.g., BharatNet) or with clients such as PGCIL, RailTel is highly desirable. Interpret internal and external business challenges and recommend best practices to enhance products, services, and processes. Leverage deep organizational and market knowledge to integrate cross-functional efforts and achieve strategic objectives. Contribute to strategic planning and decision-making within the professional domain. Solve complex problems using advanced analytical thinking and sound judgment. Contribute to the development of frameworks and concepts that guide the professional direction of the organizational unit. Serve as a subject matter expert and professional leader within the team, often acting as a go-to resource for best practices. Lead functional teams or projects of moderate complexity, managing resources, resolving day-to-day team challenges, and ensuring timely delivery. Support staff development and performance by providing mentorship, direction, and technical expertise.

About us One team. Global challenges. Infinite opportunities. At Viasat, we re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What you'll do The Customer Engineering team is a group of highly technical engineers who are tasked with maintaining and developing the reliability, scalability, and performance of the Service to different Enterprise Customers. The Customer Engineering Team is empowered to drive technical resolutions across the technology stack from hardware through to application and all stops in between. The team is also responsible to build and maintain Alerts to proactively monitor the service and act as the technical liaison between Customer facing teams and the Engineering teams. The day-to-day As a Site Reliability Engineer, you will Identify and investigate potential and actual customer performance problems, recommend, and prioritize remediation, and assess effectiveness of remediation actions Participate in and provide feedback on product design, especially regarding reliability and availability Drive initiatives with partner teams to improve the reliability and performance of the Service through improved system design Drive a culture of intolerance to manual activity which results in a highly automated environment delivering scalable solution Work Closely with Customer facing teams (Technical Account Mangers and Program Teams) to understand and prioritize the Customer issues Drive monitoring and automation initiatives Create and present Performance reports for technical and management stakeholders Work closely with Engineering teams to communicate and prioritize the service impacting issues Reproduce and test the Customer issues in the Lab Develop Automated scripts and tools to Enable monitoring of the Service Be part of on-call rotations What you'll need 5+ years experience in troubleshooting and triage of network issues in a fast paced environment, to support customers. 5+ years experience in Network Operations or Product Support Advanced knowledge of modern programming languages, especially Python An ability to understand large complex systems and a passion to constantly improve environments Strong networking knowledgeTCP/IP, IPSEC, VPN, NAT, Routing Protocols, AAA L2 L3 protocol OSPF, BGP, ISIS, STP, VLAN, NAT, Firewall, DHCP Set priorities and work efficiently in a fast-paced environment Demonstrated ability to deliver results on time with high quality and attention to detail Demonstrated ability to work with ambiguous requirements, adapt, and learn Experience with data analytics tools(Splunk, Kibana) Keen (data-driven) decision making skills under incomplete information Excellent face-to-face and remote customer rapport Bachelor s degree in electrical engineering, Computer Science, or Computer Engineering Up to 10% travel What will help you on the job Preferences Experience analyzing data and trending to gain operational efficiencies Telecom or related operational service experience, especially wireless networks Previous technical role in a DevOps/SRE workflow Experience with Satcom technology Experience/knowledge GCP, AWS, Big Query EEO Statement Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click

About us One team. Global challenges. Infinite opportunities. At Viasat, we re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What you'll do The successful candidate will work on a mission-critical software development program of work. We are looking for a candidate with a strong software development background as well as team lead, or technical mentorship experience. In this role, you will understand the technical landscape, set the direction for the team, find ways to move forward when obstacles arise. The day-to-day Participate in system design/definition efforts. Drive software architecture/design/implementation efforts Participate in DevOps efforts Play the Lead role for a Scrum team What you'll need 10+ years in C, C++ and related scripting experience Expert in Linux, OS concepts, TCP/IP stack and Networking Experience leading software development projects Good to have knowledge on Containers, Kubernetes, SDWAN What will help you on the job Proven experience driving towards a goal or key objectives. Bachelor's Degree in Computer Science, or related field Travel up to 10% EEO Statement Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click

Senior Software Development Engineer (G10) Req 1443763 Meet the Team The team is responsible for design, development and delivery of Cisco NFVIS (Network Function Virtualization Infrastructure Software) product which is built upon Linux KVM technologies and deployed in marque customer deployments. NFVIS enables customers to manage the customers VM (Virtual Machines) and Container lifecycles (both Cisco and 3rd Party). It is supported uniquely on Cisco custom hardware (ENCS, c8200-ucpe, c8300-ucpe) and Cisco General Compute HW (UCS-C series) and provisioned through Cisco SD-WAN orchestrator or built-in local NFVIS-GUI. The team has complete ownership of CI/CD with automation for the features and manages release collaterals (including security) for image posting. The team operates in high-touch model for key customer accounts to take relevant features through the adoption cycle in customer deployment. Team also works closely with rest of Cisco ecosystem like SDWAN, Thousand Eyes, Security & Trust Org, Cisco HW, Compute and Collaboration teams Your Impact You're Senior Software Engineer and will design, develop, and release in a dynamic agile environment, using modern methodologies and open-source tools. Whether a new feature or a bug fix, you will own your work and deliver the most elegant and scalable solutions, all while learning and growing your skills. You will work and collaborate with autonomous, multi-functional team of makers, doers, and disruptors who love to tackle real problems and meet real customer needs. Minimum Qualifications Expert level experience in Linux, understanding of Kernel, virtualization technologies such as qemu, libvirt, kvm Expert level experience in Python, YANG, NetConf/REST API implementation. Expert level experience with networking concepts and protocols (DHCP, Bridges, VLAN, etc) A degree in Computer Science or related field and 10+ of experience Preferred Qualifications Work closely with cross functional teams to design and develop new features Work closely with fellow developers on software / system architecture Write specification documents and unit test plan Create estimates and schedules The candidate should be self-driven and have a background in build processes, scripting, and python automation. Automation using CI/CD pipelines and version control systems like Git

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)

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.

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

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Enterprise Network Operations Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time educationKey Responsibilities -Provide L2 Network Support and troubleshooting-Deliver the result by adhered to the defined processes like ISO 20000, ISO27001, BS25999-Flexibility towards working on shifts.-Good understand of the Network Architecture of the Organization and ability to deliver results as per the timelines.-Front End Internal, External, and client audits and work towards the closure of the findings. Technical Experience Mandatory--------------Strong technical knowledge on configuring and troubleshooting any of the firewalls preferably Juniper SRX or Palo Alto-Strong technical knowledge on configuring and troubleshooting Switching and Routing Additional Skills-------------------Knowledge on Cloud Technology-Knowledge on Scripting-Knowledge on Wireless Technology-SSL VPN Configuration and Troubleshooting Professional Attributes -Excellent verbal and written communication skills.-Customer handling skills and good interpersonal skills -Ability to take complete ownership of the tasks -High level of initiative and innovative ideas-Positive Attitude towards work-Ability to work as Team-Work independently with minimal assistance Additional Information -Certification on Cloud Technology Education:Any Degree or 3 Year Diploma 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

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Infrastructure Specialists at Kyndryl are project-based subject matter experts in all things infrastructure – good at providing analysis, documenting and diagraming work for hand-off, offering timely solutions, and generally “figuring it out.” This is a hands-on role where your feel for the interaction between a system and its environment will be invaluable to every one of your clients. There are two halves to this role: First, contributing to current projects where you analyze problems and tech issues, offer solutions, and test, modify, automate, and integrate systems. And second, long-range strategic planning of IT infrastructure and operational execution. This role isn’t specific to any one platform, so you’ll need a good feel for all of them. And because of this, you’ll experience variety and growth at Kyndryl that you won’t find anywhere else. As an OpenStack Architect and Engineer, he/she will be responsible for designing, deploying, managing, and optimizing private cloud infrastructure solutions using OpenStack and collaborate with cross-functional teams to ensure high availability, scalability, and performance of the cloud environment, catering to the business's evolving needs. Also troubleshoot issues, automate infrastructure processes, and provide strategic direction for future cloud deployments. Key Responsibilities: 1. Open Source & OpenStack Architecture Design, develop, and implement open-source cloud solutions with OpenStack, Kubernetes, and containerized platforms . Architect highly scalable, secure, and resilient private/public cloud infrastructure aligned with business goals. Integrate open-source tools and frameworks into cloud and on-premises environments. Develop governance models and best practices for open-source adoption. 2. Deployment & Optimization Deploy, configure, and manage OpenStack services (Nova, Neutron, Swift, Glance, Keystone, Cinder). Optimize performance, scalability, and security of open-source architectures . Implement automation, orchestration, and CI/CD pipelines for cloud workloads. 3. Security & Compliance Implement security best practices in open-source environments , including IAM, encryption, and network segmentation. Ensure compliance with industry standards and data protection regulations. Collaborate with security teams to enhance threat detection and mitigation . 4. Cloud Integration & Migration Support hybrid/multi-cloud strategies , integrating OpenStack with AWS, Azure, and Google Cloud . Migrate workloads from legacy systems to open-source cloud platforms . Work with network, storage, and application teams to enable seamless cloud adoption. 5. Collaboration & Mentorship Work closely with developers, DevOps, and infrastructure teams to enable open-source adoption. Mentor and guide junior engineers , ensuring skill development in open-source technologies. Contribute to the open-source community , participating in forums and contributing to projects. Your future at Kyndryl There are lots of opportunities to gain certification and qualifications on the job, and you’ll continuously grow as a Cloud Hyper scaler. Many of our Infrastructure Specialists are on a path toward becoming either an Architect or Distinguished Engineer, and there are opportunities at every skill level to grow in either of these directions. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience Deep expertise in OpenStack architecture , deployment, and operations. Strong knowledge of Linux administration (RHEL, Ubuntu, CentOS). Proficiency in Kubernetes, Docker, and container orchestration . Hands-on experience with Terraform, Ansible, Puppet, or Chef for automation. Networking expertise with SDN, vLANs, VPNs, and OpenStack Neutron . Experience with Ceph, Swift, and distributed storage solutions . Solid understanding of cloud-native security and IAM frameworks. Proficiency in scripting languages like Python, Bash, or Go . Preferred Technical and Professional Experience Experience with hybrid cloud solutions integrating OpenStack with AWS, Azure, or GCP . Familiarity with DevOps, CI/CD, and GitOps workflows . OpenStack or cloud-related certifications Contributions to open-source projects or active participation in communities. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: At least 3-6 years of relevant hands-on technical experience in WLAN/Linux driver development with a record of strong managerial and individual technical achievement Strong programming skills in C Must have hands on experience working in the Linux kernel & Linux kernel device drivers Must have hands on experience working in networking components in the Linux Kernel Must have hands on experience in Networking driver development; Ethernet and Wireless LAN driver development is preferred Must have hands on experience in solving complex system issues with good problem solving skills Should be able to work in aggressive, high pressure environment Should be able to interact with team members and other teams across geos to clearly identify the requirements and plan within resource constraints WLAN driver experience is an added advantage Able to travel aboard Excellent communication skills Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Experience- 3-6 years of relevant hands-on technical experience

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Work as part of WIFI Host driver team on tasks that are related to WIFI Standard protocols- WIFI7/WIFI8. You will be working on wireless drivers, hostapd/wpa_supplicant, protocol, and other features across the range of our wireless access point solutions. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. 1. 4+ years of experience in software feature development using C/C++ programming languages2. Good Understanding of Linux Kernel internals and experience with low level kernel programming such as writing/modifying device drivers preferred3. Good knowledge of network protocols such as TCP/UDP/IPv4/IPv6/ARP/DHCP4. Good understanding of Linux network stack and any experience with wireless LAN (WiFi) device drivers is a plus

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As an Engineer in the EasyMesh Group, you will be part of a team that implements functional aspects of EzMesh features in QCOM WiFi Chipsets, that will work in tandem with device drivers running on the host processors and its commercialization. You would be involved in implementation of standard features, its testing and commercialization to different ODMs. You will be working on cutting edge WiFi technologies, solving challenging performance issues from some of the leading WiFi ODMs & OEMs across the globe on their sometimes-high pressure & tough timelines. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Skills/Experience Overall experience of at least 1-3 years which includes minimum 1-2 years of C programming At least 1-2 years of relevant hands-on technical experience in WLAN standards with a record of strong individual technical achievement - Strong programming skills in C - Must have hands on working experience working on real-time embedded systems - Experience in working on Firmware in small memory footprint processors is a BIG plus - Hands on experience in Networking driver development, Ethernet and Wireless LAN driver development preferred - Excellent verbal and written communication skills - Experience in EasyMesh / SON technology is a BIG plus. Need to be a team player

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Summary - We are seeking experts with a robust background in the field of deep learning (DL) to design state-of-the-art low-level perception (LLP) as well as end-to-end AD models, with a focus on achieving accuracy-latency Pareto optimality. This role involves comprehending state-of-the-art research in this field and deploying networks on the Qualcomm Ride platform for L2/L3 Advanced Driver Assistance Systems (ADAS) and autonomous driving. The ideal candidate must be well-versed in recent advancements in Vision Transformers (Cross-attention, Self-attention), lifting 2D features to Bird's Eye View (BEV) space, and their applications to multi-modal fusion. This position offers extensive opportunities to collaborate with advanced R&D teams of leading automotive Original Equipment Manufacturers (OEMs) as well as Qualcomm's internal stack teams. The team is responsible for enhancing the speed, accuracy, power consumption, and latency of deep networks running on Snapdragon Ride AI accelerators. A thorough understanding of machine learning algorithms, particularly those related to automotive use cases (autonomous driving, vision, and LiDAR processing ML algorithms), is essential. Research experience in the development of efficient networks, various Neural Architecture Search (NAS) techniques, network quantization, and pruning is highly desirable. Strong communication and interpersonal skills are required, and the candidate must be able to work effectively with various horizontal AI teams. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 1+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORPhD in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications: Good at software development with excellent analytical, development, and problem-solving skills. Strong understanding of Machine Learning fundamentals Hands-on experience with deep learning network design and implementation. Ability to define network from scratch in PyTorch, ability to add new loss function, modify network with torch.fx. Adept at version control system like GIT. Experience in neural network quantization, compression, pruning algorithms. Experience in deep learning kernel/compiler optimization Strong communication skills Principal Duties and Responsibilities: Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations. Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions. Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development. Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same. Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers. Conducts complex experiments to train and evaluate machine learning models and/or software independently.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Infrastructure Specialists at Kyndryl are project-based subject matter experts in all things infrastructure – good at providing analysis, documenting and diagraming work for hand-off, offering timely solutions, and generally “figuring it out.” This is a hands-on role where your feel for the interaction between a system and its environment will be invaluable to every one of your clients. There are two halves to this role: First, contributing to current projects where you analyze problems and tech issues, offer solutions, and test, modify, automate, and integrate systems. And second, long-range strategic planning of IT infrastructure and operational execution. This role isn’t specific to any one platform, so you’ll need a good feel for all of them. And because of this, you’ll experience variety and growth at Kyndryl that you won’t find anywhere else. You’ll be involved early to offer solutions, help decide whether something can be done, and identify the technical and timeline risks up front. This means dealing with both client expectations and internal challenges – in other words, there are plenty of opportunities to make a difference, and a lot of people will witness your contributions. In fact, a frequent sign of success for our Infrastructure Specialists is when clients come back to us and ask for the same person by name. That’s the kind of impact you can have! This is a project-based role where you’ll enjoy deep involvement throughout the lifespan of a project, as well as the chance to work closely with Architects, Technicians, and PMs. Whatever your current level of tech savvy or where you want your career to lead, you’ll find the right opportunities and a buddy to support your growth. Boredom? Trust us, that won’t be an issue. Your future at Kyndryl There are lots of opportunities to gain certification and qualifications on the job, and you’ll continuously grow as a Cloud Hyperscaler. Many of our Infrastructure Specialists are on a path toward becoming either an Architect or Distinguished Engineer, and there are opportunities at every skill level to grow in either of these directions. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience Minimum 7+ years of Technical experience in Network domain. Routing & switching – experiences in configuration & troubleshooting sound knowledge in cisco , aruba & HP product Sound knowledge in OSPF, BGP , MPLS Sound knowledge in HSRP , VPC, STP, VLAN protocol CISCO ACI – experiences in managing & troubleshooting in SPINE & LEAF architecture and sound knowledge in EPG , L3OUT , Interface configurations Understanding cisco Nexus model devices Registering devices in fabric Upgradation & maintenance in cisco ACI Understanding in APIC models CISCO DNAC – Sound knowledge in managing cisco DNAC , cisco ISE & Cisco 9300 switches , cisco Sealth watch , sensor flow LOAD BALANCER – knowledge in F5 LTM , Citrix NetScaler Wireless – work experience in Aruba central to manage wire & Wireless Devices Configuring & pushing the configuration Creating Groups, SSID , Authentication Upgrading the Access Point Onboarding the switches & AP Managing Aruba CPPM Knowledge in On guard deployment Firewall – knowledge’s in managing Cisco FTD & FMC upgradation & troubleshooting knowledge in FTD configuration , onboarding knowledge Access policy , QOS , Prefiltering , HA integration knowledge Palo Alto Firewall - Configuration & troubleshooting Knowledge Strong knowledge Ipsec configuration Understanding in Access policy , Nat , Decrypt policy Managing panaroma Knowledge in Pirsma SASE firewall. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Required Skills Technology | Cisco R and S Network Expert - Level 3 Support Technology | Cisco ACI Expert - Level 3 Support Technology | Fortigate SDWAN Expert - Level 3 Support Technology | Cisco DNAC Expert - Level 3 Support Technology | Viptella SDWAN Expert - Level 3 Support Technology | Riverbed SDWAN Administrator - Level 2 Support Education Qualification : Engineer - B.E / B.Tech / MCA Certification Mandatory / Desirable : Technology | Expert Level Certification - NSE7 / CCIE-Data Center / DNAIE / ENSDWI Delivery Skills: 1. Technology Management: Responsible for overall network technology management for the business. Responsible for planning and execution of new technology roll outs, scope expansion and readiness of team from technology standpoint. Manage SOPs, Knowledge documents, KB articles. Implement technical methodology improvement from past failures and learnings. 2. Restoration and Resolution: Identify the network issue based on troubleshooting and decide on the actions required to be implemented for resolving the issue. Refer to required KEDB or Knowledge bases for known issues/repetitive issues and resolution steps. Implement the resolution steps, execute, validate and update ticket with steps taken and outcome. 3. Triage: Once the resolution steps are completed if the issue is still not resolved or if it s an unknown issue and standard troubleshooting methods did not resolve the issue, escalate the ticket to L3 Network SME and support the troubleshooting process, if there is a bridge, continue on the bridge along with the SME. This support includes coordination with 3rd party network vendor technicians. 4. Process Compliance: - Gather information from vendor, customer, analysis from the troubleshooting/investigation, resolution steps implemented etc. and update the tickets regularly, as per the defined process. - Prepare a detailed report on the plan of action for the existing tickets for the next shift andengineer (Shift Handover Report). - Followthrough and execute the various Escalation Matrix (Vendor , Internal and Customer defined). - Ensure tickets are closed post user/customer communication. - Constantly track tickets for SLA adherence and escalate on deviations as defined in the process. 5. Value Proposition: Understand the existing environment and propose any opportunity of improvement. Look at nagging issues in the environment and come out with Get Around solutions by working with vendors and industry experts

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. We built the Zscaler architecture from the ground up as a platform that could extend to new features and services. Our Product Management team takes hold of this massive opportunity to deliver our customers a growing portfolio of never-before-seen capabilities in threat prevention, visibility, scalability, and business enablement. Our product managers are champions of innovation with a shared vision for Zscaler and the limitless possibilities of cloud security. Join us to make your mark on the planning and product roadmap at the forefront of the world's cloud security leader. We are looking for a Product Support Engineer III to join our team. In this role, you will become the 'go-to' person for consulting with enterprise customers. You will be reporting to Sr Manager, Product Support. You will be responsible for: Providing second-line support to debug security/network issues and assisting customers with testing and troubleshooting alongside Engineering Understanding the customer use-cases to provide input on product and code changes throughout the product cycle Creating entries in our technical support online database to document incident resolutions accurately, especially those not found in our knowledge base Assisting in creating training programs and fostering a team environment by supporting the professional growth of colleagues Mentoring other engineers on advanced troubleshooting, debugging, and case management skills What We're Looking for (Minimum Qualifications) At least 4+ years of experience and good understanding of HTTP and TCP/IP Network transformation technologies such as MPLS, SD-WAN or WAN Optimization The ability to read packet captures Troubleshooting knowledge, design and implementation experience What Will Make You Stand Out (Preferred Qualifications) A background in Internet and Security technologies such as SWG, Sandboxing, Firewalls, DLP, and VPNs A vendor certification such as CCNA or equivalent of it Strong knowledge of web security, network infrastructure, proxies, NGFW, VPNs, and firewalls #LI-Hybrid #LI-RR1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Req ID: 314937 We are currently seeking a Systems Integration Senior Analyst to join our team in Hyderabad, Andhra Pradesh (IN-AP), India (IN). Your Role As a member of the Security Technology Operations (STO) team , the Lv1 Security Technology Analyst will work with a global security toolkit, focusing on Solarwinds, NDR (Gigamon and Extrahop) Flexera and SAS (Safeguard Authentication Services formally known as QAS). The role will be primarily incident and service request focused while working with the more senior team members on various projects and initiatives. Key Responsibilities Excellent incident and request handling Help attain and then maintain SLAs and KPIs Ensure system/application alerts are acknowledged and actioned Escalate issues to STO management and leadership as needed Support patching, upgrades, and configuration changes Assist in managing high-priority incidents and requests related to file transfers Ensure compliance with audit controls and evidence requirements Experience Basic understanding of networking concepts and protocols, including TCP/IP, DNS and firewalls Windows and Linux basic admin Level 1 1-3 years of experience in a security operations role Confidence in troubleshooting Good communication skills

Req ID: 314868 We are currently seeking a Systems Integration Specialist Advisor to join our team in Hyderabad, Andhra Pradesh (IN-AP), India (IN). Key Responsibilities Excellent incident and request handling Help attain and then maintain SLAs and KPIs Run preconfigured reports to support business and cyber requests Ensure system/application alerts are acknowledged and actioned Escalate issues to STO management and leadership as needed Support patching, upgrades, and configuration changes Assist in managing high-priority incidents and requests related to log collection Ensure compliance with audit controls and evidence requirements Experience Basic understanding of networking concepts and protocols, including TCP/IP, DNS, firewalls Basic understanding of Unix/Linux operating system management Familiarity with reporting tools such as PowerBi, PowerPoint, and Excel 1-3 years of experience in a security operations role Confidence in troubleshooting Good communication skills