Role Description We are seeking a Cloud Security Architect that will be responsible for assisting Sales Representatives, Sales Engineers and Partners with the technical sales activities in net-new and upsell opportunities. This individual must be proficient at demonstrating the business value of Varonis to both technical stakeholders and C-level executives. The Location: Remote, anywhere based in the United States. Qualifications - Bachelor’s Degree or equivalent from a four-year College or Technical School - 3-5 years of experience in a customer facing role or equivalent combination of education and experience - Strong written, oral, and presentation skills - Ability to discuss highly technical concepts to all audiences, ranging from non-technical to executive level decision makers - Extensive knowledge of one of the following domains: AWS, Azure, Salesforce - Exposure to administration of Cloud applications including: Box, GitHub, Okta, Zoom, Jira, Slack - Exposure to security hardware and software - Salesforce Certified Administrator, AWS Cloud Practitioner/Associate/Professional, and Google Cloud Security Professional are preferred Requirements - Understand customer requirements and integrate Varonis solutions into the customers’ environment - Deliver sales presentations, present technical information about Varonis’ Cloud products and services, and conduct product demonstrations - Manage all phases of product evaluations including installations, presenting at seminars, responding to RFP’s and RFI’s and the technical development of Varonis Partners - Leverage Cloud infrastructure knowledge to navigate architecture design conversations, assess technical issues, and overcome obstacles to capture revenue - Create and provide product and business value enablement training for sales, SEs, and partners - Ability to work independently and team collaboratively in a fast-paced environment - Ability to articulate the importance of Cloud Security Analytics and Threat Detection and evangelize Varonis as the leader in the market to end-users of all levels Company Description Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects advanced threats with AI-powered automation. Thousands of organizations worldwide trust Varonis to defend their data wherever it lives — across SaaS, IaaS, and hybrid cloud environments. Customers use Varonis to automate a wide range of security outcomes, including: - Data security posture management (DSPM) - Data classification - Data access governance (DAG) - Data detection and response (DDR) - Data loss prevention (DLP) - Insider risk management Varonis protects data first, not last. Learn more at www.varonis.com .

Role Description - Build a realistic digital workspace using HashiCorp Terraform, Datadog, Splunk, GitHub Actions, and Okta. Reflect real-world architecture docs, runbooks, and incident post-mortems. - Design multi-step tasks that challenge frontier AI agents by navigating multiple apps and stakeholders. - Collaborate with cloud-computing experts to design environments and review scenarios for realism and rigor. - Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks. - Contribute to frontier AI research and benchmarking. Your work informs how leading labs train and evaluate AI systems. Qualifications - Must-Have: - 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team. - Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps. - Day-to-day use of HashiCorp Terraform, Pulumi, Splunk, Datadog, GitHub Actions, CircleCI, and Okta/Microsoft Entra ID. - Strong analytical thinking and writing skills. - Preferred Certifications: - AWS Solutions Architect - Azure Solutions Architect - GCP Professional Cloud Architect - CKA/CKAD Requirements - Task Completion Pay: Competitive and based on task quality (~$1,750–$2,150 per completed task, subject to change as the project evolves). - Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate. - Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description - Build a realistic digital workspace using HashiCorp Terraform, Datadog, Splunk, GitHub Actions, and Okta. Reflect real-world architecture docs, runbooks, and incident post-mortems. - Design multi-step tasks that challenge frontier AI agents by navigating multiple apps and stakeholders. - Collaborate with cloud-computing experts to design environments and review scenarios for realism and rigor. - Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks. - Contribute to frontier AI research and benchmarking. Your work informs how leading labs train and evaluate AI systems. Qualifications - Must-Have: - 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team. - Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps. - Day-to-day use of HashiCorp Terraform, Pulumi, Splunk, Datadog, GitHub Actions, CircleCI, and Okta/Microsoft Entra ID. - Strong analytical thinking and writing skills. - Preferred Certifications: - AWS Solutions Architect - Azure Solutions Architect - GCP Professional Cloud Architect - CKA/CKAD Requirements - Task Completion Pay: Competitive and based on task quality (~$1,750–$2,150 per completed task, subject to change as the project evolves). - Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate. - Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Own the opportunity as a Cloud Solutions Architect and help ensure the mission is never interrupted. At GDIT, we deliver clarity with our cloud-native solutions that accelerate digital transformation and enhance mission readiness. Your work will be central to helping our clients modernize, automate and secure different environments using advanced cloud-native capabilities and AI solutions. The Cloud Solutions Architect serves as a strategic technical leader responsible for shaping winning cloud solution architectures for federal opportunities. This role operates at the intersection of technology strategy, business development, and government proposals—crafting compelling, compliant, and innovative solutions aligned with agency mission needs. The position requires a charismatic, customer-oriented technical communicator who can influence capture teams, collaborate across engineering and leadership, and articulate complex cloud concepts in clear, value-driven terms. Qualifications - Bachelor’s degree in computer science, information systems, engineering, or equivalent experience - 15+ years of total experience, with 8+ years of experience architecting cloud solutions - Demonstrated expertise in cloud-native architectures and AWS services - Proven experience contributing to federal, state, or local government proposals - Strong understanding of DevSecOps concepts - Working knowledge of federal compliance frameworks - Ability to communicate complex technical concepts clearly and persuasively - Ability to work effectively in a fast-paced, collaborative proposal environment - Strong analytical and problem-solving skills - AWS Certified Solutions Architect - Associate required (Professional strongly preferred) Requirements - Strong understanding of cloud-native architectures using AWS services including Lambda, ECS/EKS, API Gateway, DynamoDB, Step Functions, EventBridge, and modern serverless/container patterns - Working knowledge of AWS AI/ML capabilities such as Amazon Bedrock, SageMaker, and Amazon Q - Familiarity with DevSecOps design principles—CI/CD, policy-as-code, and IaC tools such as Terraform or CloudFormation - Practical understanding of Zero Trust architecture, AWS Well-Architected Framework, and secure multi-account designs - Knowledge of government compliance standards including NIST 800-53, NIST 800-171, FedRAMP, and DoD Cloud SRG Benefits - Comprehensive benefits and wellness packages - 401K with company match - Competitive pay and paid time off - Full flex work weeks where possible - 15 days of paid leave per calendar year - 10 paid holidays per year - Paid Family Leave program providing up to 160 hours of paid leave - Short and long-term disability benefits - Life, accidental death and dismemberment, personal accident, critical illness, and business travel insurance