1445 Emc Jobs - Page 8

Job Description About the company SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto 'Make Life Simple' inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, colour, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. Join us to shape the future of digital payment in India and unlock your full potential. What’s In It For YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose This role is responsible for taking ownership of Storage and Backup technology Infrastructure and for service uptime / availability, to monitor, administer and support the core service SAN and NAS Storage and Backup infrastructure Role Accountability Provide engineering solutions in the infrastructure space with responsibility for the Storage and Backup Infrastructure environment Interact with application teams/Business to translate service SLAs to technology requirements Interface with vendors/external partners to create /validate Bill of material/quantity to meet the technology requirements Plan for projected growth and ensuring Storage and Backup Infrastructure ecosystem is built to sustain service capabilities over time Manage day-to-day Operations, upgrades & administration and capacity planning, disaster recovery, and security where necessary Ensure Timely procurement of resources for projects and support for vendor contract renewals Assist business continuity and disaster recovery pertaining to Storage and Backup Infrastructure Provide escalation support on critical issues pertaining to Storage and Backup Infrastructure Lead change, incident and problem management pertaining to Storage and Backup Infrastructure, including review of RCA reposts Execute change management and audit processes consistently with documented procedures and generate a new process when there is not an existing process Provide routine maintenance and upgrades to server hardware, including software updates and firmware releases Perform process documentation and compliance adherence Measures of Success Daily availability and uptime of production in case of any disaster and emergencies Optimize cost of Storage & Backup infrastructure operations Ensure compliance with all organization policies / guidelines affecting information processing Periodic & timely reporting of Storage & Backup infrastructure SLA metrics Service uptime / availability % as per agreed SLA Ensure resolution of vulnerabilities within timelines defined as per InfoSec Policy Process Adherence as per MOU Technical Skills / Experience / Certifications Knowledge and experience on Hitachi VSP Series VSPG , VSP 5K, EMC PMAX, VMAX, Unity NAS and 3PAR Storage architecture and administration. Knowledge and experience on Veritas NetBackup 8.X, 9.X, Oracle ZDLRA, Tape Libraries, D2D virtual tape libraries architecture and administration. Knowledge of SAN / NAS Network configurations (SAN switches (Brocade Directors 8510, 8X /Cisco Director Switches, BNA, SAN Navigator, CISCO DCNM. Knowledge on Virtualization & Migration techniques (NDM and UVM). Understanding on SAN fabric, Virtual Fabric (VSAN), FCIP Configuration & management and Host to SAN connectivity. Knowledge on configuring SAN Switches, adding new switch to an existing fabric (ISL & ICL), merging switch fabrics, Trunking, Switch Migrations & Code upgrades. Ability to do Root Cause Analysis on storage and Backup issues. Knowledge of related technologies like Unix/Linux, Windows, VMWare and databases is preferred. Validate and test Architecture and Storage : SAN , NAS , Fabric, SAN Switches, SAN Directors, NFS, CIFS, SMB, All Flash.Backup : Veritas NetBackup , Oracle ZDLRA. Competencies critical to the role Stakeholder management Verbal and written communication Change Management Qualification Masters in Computer Science Preferred Industry IT

Job Description Role: Associate-Client Order Coordinator Location: Bangalore/ Chennai Schedule: 12:00pm to 9:00pm Working model: Hybrid Intro: CSC is an industry leader and a trusted partner to many of the world’s most successful organizations. Our success is built on trust, tenacity, passion, and a commitment to customer service. We work as a team. We always find a way. We are never complacent. We believe that at CSC, relationships come first. Our knowledge of our clients’ businesses, our thorough approach, and our undivided attention to our clients’ needs are what drive our commitment to their success. We treat each client’s business as our own, taking pride and care in everything we do—becoming a true extension of their team. People choose CSC because we are encouraged and empowered to take the initiative to solve problems, build relationships, and collaborate with team members to ensure we make a difference for the people we serve. If you’ve worked in the retail, hospitality, or restaurant industries, you know what it takes to keep customers happy and satisfied. The skills developed in those settings can be easily transferred to make a difference in CSC’s professional business-to-business environment as a Customer Service Associate. And there’s the bonus of not having to work nights, weekends, or holidays. These positions come with CSC’s competitive benefits—paid time off, medical, dental, and 401(k) plans, just to name a few. We’re hiring Customer Service Associates for our Corporate and Legal Services department. A CSA works with a variety of state and internal systems, in addition to working with vendors in many states. These team members have a high degree of attention to detail, ensuring that each document or filing is what the clients requested and that it gets to them promptly. As a CSA, you’ll build a strong knowledge base that provides a solid foundation to work in many other departments at CSC. A successful day on this team is ensuring that CSC can deliver the correct document in the expected time frame, if not before. The most productive team members are committed to customer service, friendly, and proactive. Some of the things you’ll be doing: Responding to internal client inquiries via email or Salesforce chatter Assisting in various EMC/EPS Projects such as Group Split projects, minute book and document uploads, and queues along with various filings such as Annual reports, corporate transparency act and Business licenses. Providing exceptional customer service to both internal and external customers Maintaining and updating customer records including contact updates, and other various updates Managing customer portfolios Be able to communicate with different teams on the progress of a project. Navigating between multiple databases (company records, Navigator, etc.) quickly and accurately Reviewing and processing legal documents Fulfilling customer orders with various jurisdictions Problem solving issues related to customers and documentation. What technical skills, experience, and qualifications do you need? Any Graduate or Freshers are eligible. Transactional or administrative experience (reviewing and evaluating documents) Business to Business Customer Service Experience Legal Compliance experience Proficiency with Microsoft Office Keen attention to detail and accuracy. Ability to thrive in a fast-paced, high-volume environment. Strong comprehension, critical thinking, and problem-solving abilities. Excellent organizational and time management skills. Proficiency in navigating multiple systems quickly. Solid computer skills. Effective written and verbal communication skills. Strong customer service orientation. Flexibility and adaptability. Quick and independent learner. Commitment to CSC values: Service, Teamwork, Agility, Tenacity, and Genuine. About Us CSC is a global business, legal, and financial services company based in Wilmington, Delaware, USA, providing knowledge-based solutions to clients worldwide. We have offices and capabilities in over 140 jurisdictions in the Americas, Europe, Asia Pacific, and the Middle East, and more than 8,000 colleagues. We are the business behind business.® Visit our careers site to learn more about CSC and our commitment to our clients, communities, and each other. CSC is committed to creating a feeling of belonging through a diverse and growth-oriented environment where everyone is valued. CSC colleagues have global career opportunities and excellent benefits, including annual success-sharing bonuses or commission plans based on individual performance. To learn more, visit cscglobal.com/service/careers . We offer a range of support to colleagues with disabilities, ensuring people have the necessary resources to thrive in their roles. We encourage candidates to work closely with our talent acquisition partners to convey their specific needs. Our commitment to accessibility reflects our broader dedication to diversity and belonging, CSC only accepts resumes from employment agencies that are part of our approved supplier program. Resumes submitted from other agencies either to talent acquisition, our hiring leaders, employees, or through any other mechanism other than our supplier process, will not be eligible to claim related fees and the submitted resumes will be considered property of CSC. We encourage candidates to apply directly to our website and not through third-party sources. Disclaimer: The information above describes the general nature and level of work performed by employees in this role. It is not intended to describe all duties, responsibilities, and qualifications. About The Team At CSC®, we’re always looking ahead, finding ways to improve and anticipate the future needs of our customers. Curiosity fuels our innovation and productivity drives our results. This proactive mindset has helped us adapt and create solutions that have enabled businesses to run smoother and smarter for more than 120 years. CSC is committed to attracting, developing, and retaining talented people whose personal values align with ours. We empower our employees to bring the right solutions to market to meet customer demand. That is why we are the premier provider of global solutions for more than 180,000 businesses. CSC is a great place to work with smart and dedicated people. We have been voted a Top Workplace every year since 2006. We offer challenging work and career opportunities. Most positions are filled with internal moves and employee referrals. Employees are eligible for success sharing, bonus, or commission plans based on role and individual performance. CSC offers a competitive and comprehensive benefits package as part of your Total Rewards that includes annual leave, tuition reimbursement, employee referral bonuses, and more. As business needs allow, CSC offers hybrid/remote work schedules in alignment with local regulations. Specific details for this position will be discussed during the interview process.

HCL Tech is conducting a walk-in drive for Electrical Design Engineers in Bangalore Jigani. If you hold a B.Tech/BE degree in Electrical Engineering with 3-8 years of experience, seize the opportunity for a Face to Face Interview on July 26, 2025. Secure your slot by sending your resume to jenifer-d@hcltech.com. #apply : https://lnkd.in/gFcbhZ5F Key Details: - Role Type: Full Time - Qualification: B.Tech/BE graduates - Experience: 3-8 years What We're Seeking: - BE/B.Tech in Electrical Engineering with 3 to 8 years of experience. Job Description: - Selection and qualification of Electrical components used on tools as per requirements. - Preparing schematics using Creo Schematics required for Electrical integration on the tool. - 3D cable routing using Creo. - Knowledge of relevant electrical safety standards and protocols applicable. - Hands-on experience in reading Electrical schematics. - Knowledge on selecting Switch gears, Relays, Connectors (Power & Signal), Sensors, Transformers, and other PD/Controller related components. - Knowledge of relevant electrical safety standards and protocols applicable to qualify the components. - Good Knowledge in Electrical Basic Fundamentals Like EMC, EMI, Earthing, Grounding. - Knowledge on ECR/ECO/ECN Process, Obsolescence/EOL management, PCN request. - Semiconductor domain experience is an added advantage. - Excellent written and verbal communication skills required with good interpersonal skills, able to express concepts and ideas with clarity. - Strong problem-solving and critical thinking skills. - Position is based in Bangalore.

Job Title: Engineer - Network Reliability GCL: C3 Introduction To Role Are you ready to make a difference in a world-leading pharmaceutical company? As a Network Reliability Engineer, you'll be at the forefront of ensuring seamless network operations across continents. With your expertise, you'll support and maintain a robust network infrastructure that powers life-changing medicines. Dive into a dynamic environment where your skills will be pivotal in redefining network connectivity and user experience. Accountabilities Meet delivery targets set by management. Ensure delivery exceeds SLA levels and establish processes for continuous service improvement. Support, maintain, and enhance user experience in network connectivity. Deliver accurate, timely diagnosis and rectification of network faults. Monitor network events using world-class tools and address alert incidents. Resolve or advance incidents/problems/service requests per established procedures. Track and progress-chase incidents to conclusion in line with SLA and quality standards. Work within an ITIL environment for Change and Incident management. Handle incidents/service requests related to LAN/WAN/Wireless/Firewall/Load balancer/Proxy globally. Collaborate with onsite network engineers/ISP for Layer 1/2 troubleshooting. Prepare network reports for management meetings. Expedite change for incident break fix and implement changes after necessary approvals. Essential Skills/Experience A minimum of a bachelor’s Degree is required, with MS or MBA or equivalent experience preferred. 3-5 years’ experience in Network Operations, Troubleshooting. Proven ability in configuring/administrating Cisco routers, Switches (Cisco/Ruckus), Firewall (ASA/Checkpoint), Netscaler Load balancer, Zscaler Cloud-based proxy. Skills in LAN/Switching: Cisco Catalyst series switches, Cisco VSS technology, Nexus switches. Routing: Policy-based routing, Intelligent WAN (iWAN) technology, Handling Cisco ISR/ASR routers, knowledge in dynamic routing protocols such as BGP, EIGRP/OSPF. Security: Good knowledge in ASA, Checkpoint firewalls, Cisco ZBF, Zscaler. Load balancer: Knowledge of Netscaler/F5 load balancer. Experience in resolving tools like Netbrain or equivalent, NMS tools like Solarwinds, EMC SMARTS, Log analysis tools like Splunk, Kiwi or equivalent. Ready to work in rotational shift. Good communication skills, both written and verbal, with excellent presentation skills. Desirable Skills/Experience Strong routing knowledge/Firewall devices from ISP environment preferred. Experience in scripting languages like Python, Perl, TCL or others is an advantage. Understanding of Network Automation & Low code Automation platforms such as Itential is an advantage. Good knowledge of Incident Management/Change management/Problem Management processes. Experience working in globally distributed teams. Knowledge in ticketing systems like Remedy, SNOW. CCNA (R/S or Security) certification required. CCNP/CCSA/CCSE and ITIL certifications are added advantages. Ability to grasp and understand new technological trends/concepts. Must possess good problem-solving and interpersonal skills. Must excel working in team environments. When we put unexpected teams in the same room, we ignite bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and bold world. At AstraZeneca, you'll be part of a team that redefines the industry and changes lives. Our work directly impacts patients by redefining our ability to develop life-changing medicines. We empower the business to perform at its peak by combining ground breaking science with leading digital technology platforms and data. With a passion for data, analytics, AI, machine learning, and more, you'll be at the heart of driving cross-company change to deliver exponential growth. Join us at a crucial stage of our journey to become a digital and data-led enterprise. Ready to take the next step? Apply now and be part of our innovative journey! Date Posted 21-Jul-2025 Closing Date AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Company Description Mercle is building the foundational layer of trust for the digital age with our innovative proof-of-personhood solution. In an increasingly AI-dominated online landscape, verifying unique human identity is paramount. Our hybrid system tackles this challenge head-on by combining Facial Scans with 3D liveness detection, Social Vouches through a decentralized web-of-trust, Behavioral Signals to differentiate human traits from AI mimicry, and the secure, privacy-compliant integration of Existing IDs as a supplementary tier. This modular architecture delivers over 99.9% overall accuracy, ensures privacy via zero-knowledge proofs, and offers global scalability at costs under $0.10 per verification, empowering individuals with control over their digital identity and fostering a more trustworthy online ecosystem. Role Description As Mechanical Design Engineer, you will own the industrial and enclosure design of our biometric scanner. You’ll translate system requirements into manufacturable CAD models, prototype fittings, and work closely with electronics, firmware, and industrial partners to ensure a robust, user-friendly device. Qualifications Expertise in Hardware Development and Hardware Engineering Proficiency in Circuit Design and Electronics Hardware Design Strong understanding of Computer Hardware Excellent problem-solving and analytical skills Ability to work independently and collaborate with remote teams Bachelor's degree in Electrical Engineering, Computer Engineering, or related field Experience in the technology or electronics industry is a plus Key Responsibilities Enclosure & Structural DesignDevelop CAD models for the one‑way mirror housing, camera mounts, matrix display enclosure, and base assembly. Balance aesthetics, ergonomics, and manufacturability (DFM/DFX) for small‑batch production. Thermal & Material EngineeringAnalyze thermal loads from the compute module; design heat‑sinks, vents, or passive cooling features. Select materials (plastics, metals, composites) that meet strength, weight, and finish requirements. Prototyping & ValidationRapidly iterate prototypes using 3D printing, CNC machining, and hand‑assembled mockups. Conduct fit‑and‑function tests; refine tolerances, snap‑fits, and assembly methods. DFM/DFA & Supplier LiaisonPrepare drawings and BOMs for injection molding, sheet‑metal, or small‑batch machining. Coordinate with contract manufacturers and sheet‑metal shops to validate tooling and production runs. Cross‑Functional CollaborationWork with Electronics Engineers to define mounting points, connector cutouts, and cable routing. Partner with Firmware & CV teams to ensure unobstructed sensor fields of view and service access. Documentation & ComplianceProduce detailed CAD drawings, exploded‑view assemblies, and assembly guides. Support regulatory testing (safety, drop‑test) by providing mechanical test plans and design inputs. Required Qualifications Bachelor’s or Master’s in Mechanical Engineering, Industrial Design, or equivalent. 3+ years of experience in consumer‑grade hardware or medical‑device enclosure design. Proficiency with SolidWorks, Fusion360, or equivalent CAD software. Strong understanding of DFM/DFA principles for plastics and metals. Hands‑on prototyping skills (3D printing, CNC, sheet‑metal). Excellent 2D drawing skills and GD&T knowledge. Preferred Skills Experience designing one‑way‑mirror or back‑lit display enclosures. Familiarity with thermal simulation tools (CFD) or hand‑calculated thermal analysis. Background in ergonomic design and human‑factors engineering. Exposure to small‑batch manufacturing processes and vendor management. Knowledge of EMC/EMI enclosure best practices. What we offer A critical role in shaping the first global proof‑of‑personhood hardware. Lean, agile team with direct impact on product design and roadmap. Flexible remote work, regular syncs in Asia‑Bangkok timezone. Competitive salary.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.

Company Description Mercle is building the foundational layer of trust for the digital age with our innovative proof-of-personhood solution. In an increasingly AI-dominated online landscape, verifying unique human identity is paramount. Our hybrid system tackles this challenge head-on by combining Facial Scans with 3D liveness detection, Social Vouches through a decentralized web-of-trust, Behavioral Signals to differentiate human traits from AI mimicry, and the secure, privacy-compliant integration of Existing IDs as a supplementary tier. This modular architecture delivers over 99.9% overall accuracy, ensures privacy via zero-knowledge proofs, and offers global scalability at costs under $0.10 per verification, empowering individuals with control over their digital identity and fostering a more trustworthy online ecosystem. Role Description As our Hardware & Electronics Engineer, you will lead end‑to‑end design and development of the core electronics for Mercle’s biometric scanner. You’ll translate system requirements into robust PCB designs, select and integrate sensors and power components, and collaborate closely with mechanical, firmware, and CV engineers to deliver a production‑ready prototype. Qualifications Expertise in Hardware Development and Hardware Engineering Proficiency in Circuit Design and Electronics Hardware Design Strong understanding of Computer Hardware Excellent problem-solving and analytical skills Ability to work independently and collaborate with remote teams Bachelor's degree in Electrical Engineering, Computer Engineering, or related field Experience in the technology or electronics industry is a plus Key Responsibilities Electronic System Architecture Define block‑level schematics covering power distribution, sensor interfaces (RGB & depth cameras), lighting control, and communications (USB, Ethernet, Wi‑Fi). Collaborate on system‑level trade‑offs: cost, size, thermal budget, and EMI/EMC compliance. PCB Design & Layout Create multi‑layer PCB designs using Altium or KiCad, ensuring signal integrity for high‑speed camera interfaces and power rails. Route differential pairs (e.g., MIPI CSI), manage ground planes, and implement design‑for‑manufacturability (DFM) best practices. Component Selection & Procurement Choose sensors, power regulators, connectors, and other BOM items based on performance, availability, and cost targets. Work with vendors to source components, evaluate samples, and mitigate supply‑chain risks. Prototype Assembly & Testing Oversee board fabrication, assembly, and bring‑up on development kits (e.g., NVIDIA Jetson Dev Kit). Develop test fixtures and harnesses to validate signal integrity, power sequencing, and peripheral communications. Cross‑Functional Collaboration Partner with Mechanical Engineers on enclosure interfaces (connector cutouts, thermal paths). Coordinate with Firmware Engineers to define device‑tree entries, power sequencing, and over‑the‑air update mechanisms. Support Computer Vision team by ensuring clean camera power and clocking for reliable image capture. Regulatory & Documentation Draft and maintain hardware design documentation: schematics, PCB fabrication drawings, assembly manuals, and test procedures. Prepare for EMC/EMI testing and safety certifications (CE, FCC), engaging external labs as needed. Required Qualifications Bachelor’s or Master’s degree in Electrical/Electronics Engineering or equivalent. 3+ years of hands‑on experience designing complex PCBs, including high‑speed interfaces (MIPI, LVDS) and mixed‑signal circuits. Proficiency with Altium Designer, KiCad, or similar EDA tools. Strong understanding of power electronics: DC‑DC converters, LDOs, power sequencing, and thermal management. Experience with camera modules or sensor integration on embedded platforms (Jetson, Raspberry Pi, etc.). Familiarity with EMC/EMI principles and design techniques for compliance. Excellent debugging skills using oscilloscopes, logic analyzers, and power analyzers. Preferred Skills Prior work on consumer‑grade hardware prototypes or small‑batch production runs. Knowledge of One‑Way Mirror designs or matrix/LED display interfacing. Experience with camera driver configuration in Linux Device Tree. Exposure to hardware security best practices (secure boot, hardware root of trust). Familiarity with biometric sensor standards or previous work on liveness‑detection What we offer A key role in building the world’s first global proof‑of‑personhood network. A collaborative, mission‑driven environment with a lean, agile team. Flexible remote work, regular syncs in Asia‑Bangkok timezone. Competitive salary, equity, and token incentives. Opportunities for professional growth across hardware, firmware, and product domains.

We are looking for 8+years experienced candidates for this role. Responsibilities include: Design, develop, and maintain scalable cloud infrastructure solutions. Lead cloud adoption strategies, migration roadmaps, and workload assessments. Provide infrastructure expertise to design cloud-native and on-premise solution architectures. Architect infrastructure solutions for AI/ML platforms, including training, inference, pipelines, and GPU/TPU setups. Ensure infrastructure security, compliance, and adherence to industry best practices. Design and implement new capabilities that address gaps and provide an integrated, end-to-end, scalable service. Collaborate with external vendors, partners, and stakeholders to ensure successful integration and implementation of infrastructure solutions. Certifications : AWS/Azure/GCP Architect Certifications Kubernetes Certifications (CKA/CKAD) Primary Skills : Minimum 8 years of experience in the design, implementation, and maintenance of infrastructure solutions. Experience in at least 5 projects involving enterprise-level cloud architecture and implementation. Proven expertise in designing and implementing large-scale microservices architectures, distributed systems, and integration architectures. Hands-on experience in large-scale cloud migration projects. Experience in setting up infrastructure for ML workloads, including training, inference, and GPU/TPU provisioning. Solid experience in data center operations, including the implementation and support of private and hybrid cloud environments. Strong experience with VMware technologies such as vSphere, ESXi, and vCenter. Hands-on expertise in infrastructure domains including networking, authentication, compute, and storage. Experience in responding to RFPs, preparing solution designs, and performing estimations and costing. Strong knowledge of Docker and Kubernetes, with hands-on experience deploying ML workloads. Proficient in Infrastructure as Code (IaC) using tools such as Ansible, Terraform, ARM Templates, and CloudFormation. Good understanding of SQL and NoSQL databases. Deep expertise in DevOps practices, containerization, and CI/CD pipelines. Experience with monitoring tools such as Nagios, Splunk, New Relic, or Prometheus. Experience working on projects with compliance requirements such as GDPR, PCI DSS, and HIPAA. Strong technical knowledge of cloud technologies and virtualization platforms (e.g., VMware, Hyper-V, Cisco, Microsoft, EMC, AWS). Secondary Skills : Experience with infrastructure services such as LDAP, DNS, DHCP, and Active Directory. Excellent communication, documentation, and presentation skills. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.