625 Vlan Jobs

Title : REF72766N-Senior Program Analyst - EIT, 3 to 5 yrs experience, Network Engineer, Mumbai location, immediate joiners Sr.Prgm Analyst- Good Communication Skills- Knowledge and use of Network Management Tools and integration experience with other Tools.- Should be able to understand the network setup to troubleshoot the issues- Able to log Case with Provider and OEM and follow-up till closer - updating and closing the Servicedesk ticket which is getting assigned.- should be able to basic troubleshooting on Router ,Switches and Firewall- Acknowledge the email which are send to network id - Raising the CR or ECR- Changing the VLan as per the Ticket/email- Responding to Solarwind on the alert. Qualifications Graduate Job Location

About the Role: OSTTRA India The RoleCloud Network Engineer The Team: The OSTTRA Technology teamis composed of Capital Markets Technology professionals, who build,supportand protect the applications that operate our network. The technology landscapeincludeshigh-performance, high-volume applications as well as compute intensive applications,leveragingcontemporary microservices, cloud-based architectures The Impact: Together, we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets Whats in it for you: We are seeking a technically excellent, Cloud Network Engineer to join the India team. You will be an organized, hardworking, friendly, and confident individual, with excellent communication and interpersonal skills to fit into the company culture. This is an excellent opportunity to work as a key member of this highly visible global finance team, in a growing business. Responsibilities: Assist in the design, deployment, and management of GCP network services, including VPCs, subnets, firewall rules, load balancers, Cloud DNS, and Cloud VPN. Implement and maintain network security configurations in GCP, adhering to best practices and compliance requirements. Contribute to the automation of network provisioning and configuration using Terraform. Monitor GCP network performance and troubleshoot connectivity issues, ensuring minimal downtime. Collaborate with application development teams to optimize network connectivity and performance for cloud-based applications. Support the integration of on-premises networks with GCP using VPNs or interconnect solutions. Configure and manage Palo Alto firewalls, ensuring network security and access control. Develop and maintain scripts in Python to automate network tasks and improve operational efficiency. Create and maintain comprehensive network documentation, including diagrams, configurations, and procedures. What Were Looking For: Bachelor's degree in Computer Science, Information Technology, Networking, or a related field. Minimum 5 years of experience in network engineering or administration. Solid understanding of fundamental networking concepts and protocols (TCP/IP, DNS, DHCP, routing, switching, VLANs, etc.). Hands-on experience with configuring and managing network devices (routers, switches, firewalls). Experience with Palo Alto Networks firewalls, including configuration and troubleshooting. Proficiency in Python scripting for network automation and scripting tasks. Familiarity with cloud computing concepts and services. Excellent analytical, problem-solving, and troubleshooting skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. The LocationGurgaon, India About Company Statement: OSTTRAis a market leader inderivatives post-trade processing, bringing innovation, expertise, processes and networks together to solve the post-trade challenges of global financial markets. OSTTRA operates cross-asset post-trade processing networks,providinga proven suite of Credit Risk, Trade Workflow and Optimization services.Together these solutions streamline post-trade workflows, enabling firms to connect to counterparties and utilities, manage credit risk, reduce operationalrisk andoptimizeprocessingtodrive post-trade efficiencies. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ years:MarkitServ, Traiana, TriOptima and Reset.These businesses have an exemplary track record of developing and supporting critical market infrastructure and bring together an established community of market participants comprisingall trading relationships and paradigms, connectedusingpowerful integration and transformation capabilities. About OSTTRA Candidates should note that OSTTRAis an independentfirm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global providesrecruitmentservices to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joiningour global team of more than 1,200 posttrade experts. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ yearsMarkitServ, Traiana, TriOptima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group. With an outstanding track record of developing and supporting critical market infrastructure, our combined network connects thousands of market participants to streamline end to end workflows -from trade capture at the point of execution, through portfolio optimization, to clearing and settlement. Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets.Learn more atwww.osttra.com. Whats In It For You Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), BSMGMT203 - Entry Professional (EEO Job Group)

Date 10 Jun 2025 Location: Bangalore, KA, IN Company Alstom Req ID:487687 We create smart innovations to meet the mobility challenges oftoday and tomorrow. We design and manufacture a complete range of transportation systems, from high-speed trains to electric busesand driverless trains, as well asinfrastructure, signalling and digital mobility solutions. Joining us meansjoininga truly global community ofmore than 75000 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact. JOB PURPOSE Reporting to IS & T Network Operations manager the Network Analyst(WAN Engineer) will assist the Network operations team for end to end management of all CPA WAN links underSDWAN platform . The Network WAN Engineerwill be responsible to work along with the team to come up with operationalenhancements at the right time to accelerate the Network Operations team inproviding excellent service to Business. 1. Should have work experience in dealing with day to day Telco / ISP service Provider for Circuit Issues for an Enterprise network. 2. Work hand in hand with Alstoms MSP in identifying circuit related issues. 2. Day to DayNOCOperations. 3. Manage Outages in the Network and push Providers to fix circuit related issues within SLAs 4. Handle Escalations on time to ensure with Minimal Turnaround time. 5. Maintain the Uptime of the network at 100%. 7. Should Monitor the Network and help in planning maintenance activities ( via changes ) timely as notified by different Telco vendors . 8. Should work on building redundancy and elimination of Point of Failures. 9. Should work on Bandwidth Management and Traffic Load Balancing Mechanism whenever applicable. 10.Provide backend support to cross functional teams for new provisioning and Fault Repair. 11.24 * 7 Rotational shifts 12. Should be Responsible for Inventory Management. 14. Prepare and Maintain SOPs of critical Process; perform Process Correction on requirement basis. 15. Should analyze fault trends and plan preventive actions. 16. Should be Responsible for publishing of daily, weekly, monthly reports and statistics reports. MAIN CHALLENGES OF THE ROLE In this context the management of the end to end processes will rely on a multi-supplier ecosystem to coordinate with. The Operations team will have a critical roleto ensure business continuity for around 60,000 employees PROFILE Technical 1. Should have Good Knowledge of Routing & Telco related troubleshooting & debugging 2. Hands-on experience of BGP, MPLS, MPLS L2VPN, MPLS L3VPN, ISIS, OSPF, VLAN, DHCP, PPPoE, WAN, NAT , SDWAN etc 3. Should have worked in Layer-2 and Layer-3 Switches, Edge Routers; preferably on Cisco and Velocloud VCEs. 4. Should have worked on NMS Tools and have understanding of SNMP Protocol. 5. Should have Good understanding of Fiber Technology. 9. Must have donepreferably a Bachelors Degree or Diploma in Computer applications. 10. CCNACertification is Preferred. Communication, leadership, interpersonal and teaming skills Strong oral and written communication skills Strong listening, feedback, negotiation and conflict resolution skills Ability to build trust and work collaboratively Effectively communicate at the business stakeholder, process and technical levels High level of initiative, self-motivation, resourcefulness, collaboration and patience Builds strong networks within and across functions / geography instill a level of confidence in team members and key stakeholders Displays consideration and respect for others Facilitates effective team interaction Acknowledges and appreciates each team member's contributions Manages stakeholder expectations effectively Work management, organization and planning Focuses on the most critical issues that have the highest impact on the organization and business needs Works effectively with ambiguity / fluctuating priorities and constraints Able to manage multiple initiatives with short and long term priorities Able and willing to be hands on and get involved in detail if necessary Customer and Business focus Strong orientation towards internal customers Ability to successfully implement change through relationships built on a local, regional and global level Values and Ethics Self-motivated, self-guided and results-oriented Ability to maintain a high level of confidentiality Treats all others with respect; generates trust and performs role with highest level of integrity Seeks to exceed expectations and acts on feedback An agile, inclusive and responsiblecultureis the foundation of ourcompanywhere diverse people are offered excellent opportunities to grow, learn and advanceintheir careers.We are committed toencouragingour employeesto reach their full potential,while valuing and respecting them as individuals. Job Type:Experienced

Ready to shape the future of work? At Genpact, we don't just adapt to change we drive it.AI and digital innovation are redefining industries and were leading thecharge. Genpact’s AI Gigafactory, our industry-first accelerator, is an exampleof how were scaling advanced technology solutions to help global enterpriseswork smarter, grow faster, and transform at scale. From large-scale models toagentic AI, our breakthrough solutions tackle companies most complexchallenges. If you thrive in a fast-moving, tech-drivenenvironment, love solving real-world problems, and want to be part of a teamthat’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology servicesand solutions company that delivers lasting value for leading enterprisesglobally. Through our deep business knowledge, operational excellence, andcutting-edge solutions we help companies across industries get ahead and stayahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us atgenpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Process Developer, US Payroll, HRO We are looking for someone with deep understanding and understanding of entire US payroll/Time and attendance process for a client. Current requirement is to mirror the US shifts, participate in processing client’s existing Payroll and Time & Attendance processes and technologies to find opportunities for efficiencies, process simplification. Responsibilities • Daily client interactions, working with onshore team on a day to day basis • Be able to review manual processes and define scope for automation/ Improvements • Detail oriented, good communication skills and ability to work independently and within the team environment • Communicate and present to external and internal client as required • Responsible to work with multiple partners • Responsible to align with internal controls and policies and pay attention to details. Qualifications Minimum qualifications • Graduation in Commerce (B.Com) • Meaningful work experience in payroll Process Consulting/ Payroll Operations/Payroll Implementation • Experience on ERPs Preferred qualifications • Good Customer Service skills and analytical skills • ERP Experience Whyjoin Genpact? Be a transformation leader Work at the cutting edge of AI, automation, and digital innovation Make an impact Drive change for global enterprises and solve business challenges that matter Accelerate your career Get hands-on experience, mentorship, and continuous learning opportunities Work with the best Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Comejoin the tech shapers and growth makers at Genpact and take your career in theonly direction that matters Let'sbuild tomorrow together. Genpactis an Equal Opportunity Employer and considers applicants for all positionswithout regard to race, color, religion or belief, sex, age, national origin,citizenship status, marital status, military/veteran status, geneticinformation, sexual orientation, gender identity, physical or mental disabilityor any other characteristic protected by applicable laws. Genpact is committedto creating a dynamic work environment that values respect and integrity,customer focus, and innovation. Furthermore,please do note that Genpact does not charge fees to process job applicationsand applicants are not required to pay to participate in our hiring process inany other way. Examples of such scams include purchasing a 'starter kit,'paying to apply, or purchasing equipment or training.

In this role, you will investigate and resolve reports of malicious, fraudulent, and illegal activity originating from IBM Cloud IP space. By enforcing our Acceptable Use Policy, you will help maintain the reputation and integrity of our network by mitigating abusive activities and eliminating bad actors. Daily efforts include: Investigating and validating incoming abuse reports Opening incident tickets to notify customers of actionable reports Engaging with customers and reporting parties to achieve a timely resolution Monitoring open incidents and enforcing resolution timeframes Mitigating active threats through application of network controls Assisting with escalations from other departments Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 2+ Years of experience. Understanding of SMTP, DNS, HTTP, Network routing, VPN, and other technologies Understanding of spam, phishing, fraud, and other behaviors considered to be abusive Ability to read and analyze multiple log formats Detail-oriented; ability to scrutinize and discern abusive content Customer relations & support Preferred technical and professional experience Prior network security experience Existing knowledge of anti-fraud and/or anti-abuse techniques Basic server administration skills Experience with process documentation Understanding of Digital Millennium Copyright Act, trademark, intellectual property, Safe Harbor Provisions, GDPR, and other United States federal and international legal precedents

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.