119 Data Infrastructure jobs in Saudi Arabia

Req #

Career area:

Services

Country/Region:

Saudi Arabia

State:

Riyadh

City:

Riyadh

Date:

Tuesday, October 21, 2025

Additional Locations:

• Saudi Arabia

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

To find out more visit and read about the latest news via our StoryHub.

As our Cloud Infrastructure Engineer You will support enterprise cloud and infrastructure projects. The role involves managing Red Hat OpenShift, Kubernetes, VMware, Nutanix, compute, storage, and backup solutions. The consultant will ensure secure, scalable, and highly available platforms for mission-critical workloads.

Key Responsibilities:

• Deploy, configure, and manage Red Hat OpenShift and Kubernetes clusters.
• Manage VMware vSphere/ESXi/vCenter and Nutanix HCI (AHV, Prism).
• Oversee compute, storage (SAN/NAS/Object), and backup/DR solutions.
• Administer and optimize Linux systems (RHEL, CentOS, Ubuntu).
• Implement automation, monitoring, and security best practices.
  Support incident resolution, performance tuning, and documentation.

Mandatory Requirements:

• 3–5 years of experience in infrastructure/consulting roles.
• Strong expertise in OpenShift, Kubernetes, VMware, Nutanix, Linux management.
• Proven skills in compute, storage, backup/DR, and networking.
• Excellent troubleshooting and communication skills (Arabic and English ).
  Must be based in Riyadh, Saudi Arabia (local candidate).

What We offer You:

• An international team with a high focus on Gender Diversity.
• Employee Assistance Program, e.g., for psychological, legal & financial consultancy
• You are joining a company that prioritizes sustainable solutions like CO2 Offset, Asset Recovery Services, and the Lenovo Certified Refurbished portfolio.
• Access to training for personal development. -Internal E-learning Development Platform Available for Employees
• Mentorship program

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations:

• Saudi Arabia

• Saudi Arabia

AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.

Job Summary

We are looking for a Manager, Cloud Infrastructure to lead a team of cloud engineers and architects in designing, deploying, and managing secure, scalable, and cost-effective cloud environments. This role combines technical leadership, people management, and strategic planning to ensure the reliability, performance, and growth of our cloud infrastructure.

Key Responsibilities

Leadership & Strategy

• Lead and mentor a team of cloud engineers, architects, and administrators.
• supporting in defining the long-term cloud infrastructure roadmap aligned with business goals.
• Drive adoption of best practices for architecture, automation, monitoring, and cost management.
• Collaborate with cross-functional teams (DevOps, Security, Applications, Data, Finance) on cloud strategy and operations.

Technical Oversight

• Oversee the design and deployment of highly available, scalable, and secure cloud solutions.
• Ensure infrastructure as code (IaC) and automation are standard practices.
• Implement cloud monitoring, observability, and incident response frameworks.
• Manage multi-cloud or hybrid-cloud strategies (AWS, Azure, GCP, or private cloud).
• Ensure DR (Disaster Recovery) and BCP (Business Continuity Planning) processes are in place and tested.

Operational Excellence

• Establish SLAs for availability, performance, and security.
• Report on cloud KPIs, utilization, and risks to senior leadership.
• Manage vendor relationships with cloud providers and tooling vendors.
• supporting security posture through IAM, compliance audits, and regular penetration testing.

Requirements

Education & Experience

• Bachelor's or Master's degree in Computer Science, IT, or related field.
• 5–8 years of IT infrastructure/cloud experience, with 2–3 years in leadership/management roles.

Technical Skills

• Deep knowledge of one or more major cloud platforms (AWS, Azure, GCP).
• Strong understanding of networking, storage, compute, and security in cloud environments.
• Familiarity with DevOps, CI/CD, containers (Kubernetes, Docker), and serverless.
• Hands-on knowledge of IaC (Terraform, CloudFormation, Ansible) and automation.
• Experience with monitoring, observability, and incident management tools.
• Understanding of compliance (NCA-CCC,NCA-ECC, ISO27001).

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.