• Serve as a foundational technical advisor, translating routine business needs into implementable solutions on the HubSpot platform • Advise on solution design and identify clear opportunities to integrate systems, driving platform adoption across the customer lifecycle • Support the development of technical roadmaps for customers, ensuring alignment with known solutions and best practices • Lead discovery and solution design for routine, single-multi hub engagements, guiding customers and partners on standard practices for leveraging core CRM features and the HubSpot ecosystem • Act as a supporting technical resource on customer and partner-led projects, addressing straightforward product use cases and learning to mitigate technical risks • Champion foundational innovation by learning about emerging technologies and AI advancements • Assist in the application of AI-powered tools to create simple proof-of-concept automations • Collaborate with internal Product and Engineering teams by providing basic, task-level feedback from the field to influence future platform enhancements

Role Description GovCIO is seeking an experienced Senior Cloud Solutions Engineer (Remote) to lead white glove support for customers adopting cloud solutions as part of VA’s Data Modernization initiative. This position will be fully remote located within the United States. - Help VA users get over the technology hump by getting them access to the data and delivering the appropriate business requirements. - Act as subject matter experts to the workgroups from start to finish in their migration to the cloud. - Fully build out a best practices knowledge base for in which all workgroups can benefit. - Attend and actively respond to workgroup questions on weekly feedback and center of excellence calls. - Help workgroups set up their resources and migrate their workloads. - Collaborate with the on-prem teams to decommission the necessary resources after migrations have been completed. - Report accomplishments to internal leadership to help show outcomes and benefits gained from provided dedicated support. - Collaborate with cloud architects, engineers, and system owners to ensure technical deliverables meet program requirements and timelines. - Manage competing priorities, handle research and response for all product line operations related data calls and provide ongoing progress reports. - Manage parallel projects under a complex program while also providing cross functional program level support. Qualifications - Bachelor’s Degree in an Information Technology, Engineering, or technical discipline plus 12 years of experience; years of experience can be substituted for the degree requirement. - Experience in managing projects in the Department of Veterans Affairs. - Experience in the Healthcare IT field. - Expertise with Azure or other major cloud platforms. - Experience with Databricks workspace administration, catalog creation, mount configurations, and cluster setup. - Strong knowledge and experience with data lake architectures, especially Delta Lake or similar structured storage solutions. - Experience automating cloud provisioning workflows (e.g., Terraform, ARM, Bicep, PowerShell, Python). - Ability to collaborate with cross-functional engineering and business teams. - Strong documentation practices and experience building standard operating procedures. - Experience in creating and presenting executive summary presentations. Requirements - Experience with Windows, MacOS, Linux, Ruby, HTML, CSS/SCSS, Javascript, C#, .Net, NodeJs, Angular, Jquery, Microsoft SQL server, Mongo, Azure, AWS, GCP, Heroku, Github, JIRA, confluence, Azure Develops, Backend sustainment, Frontend sustainment, APIs, UX Designer, UI Designer, Fullstack Engineer. - Experience in conflict management and servant leadership. - Highly motivated and analytical; proven problem-solving abilities. - Ability to demonstrate initiative, proactivity, and enthusiasm in a fast-paced environment. - Willingness and ability to quickly learn new skills, new client environments, and grow domain expertise. - Ability to conduct independent research in the root cause analysis and resolution of complex issues. - Excellent planning, project oversight, risk management, prioritization, organization, attention to detail, leadership, and time management skills. - Demonstrated strong facilitation and excellent verbal communication, oral presentation, analytical and written communication skills. Clearance Required - Ability to obtain and maintain a suitability/Public Trust. Posted Salary Range USD $175,000.00 - USD $200,000.00 /Yr.

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack. • Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. • Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. • Work hands-on where needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload. • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them • Provide guidance on how to resolve customer-specific technical challenges. • Support other members of the Services Delivery team develop their expertise. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

• Enable and co-sell with Docker's channel partner SE team to deliver local-language technical coverage across Japan. • Run joint partner workshops, technical enablement sessions, and solution briefings to build partner SE capability. • Support partner-led opportunities with architectural depth, PoC support, and competitive differentiation. • Develop and maintain partner-ready technical assets in Japanese: demo environments, reference architectures, and enablement decks. • Build strong working relationships with key distributor and reseller contacts to support pipeline development. • Build Docker's technical presence in the Japanese developer and DevSecOps community. • Speak at industry and partner-organised conferences. • Produce Japanese-language technical content: blog posts, how-to guides, and solution briefs that address local-market gaps in Docker documentation and community resources. • Represent Docker at meetups, developer days, and hackathons to drive awareness and top-of-funnel interest. • Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI teams at strategic accounts to understand: • AI governance requirements and agentic development workflows • Software supply chain risk and secure build pipeline needs • Regulatory and compliance drivers relevant to the Japanese market • Container security posture and DevSecOps maturity • Design, position, and execute structured PoCs/PoVs with clear success criteria and executive-ready value summaries. • Influence buying decisions through demos, workshops, architecture reviews, and technical executive briefings. • Translate Docker's AI security and governance capabilities into business value narratives for CISOs, Heads of Platform Engineering, and AI leaders. • Build and maintain relationships with technical champions across Security, DevOps, Platform, and AI teams at key accounts. • Support renewal and expansion motions by maintaining engagement beyond initial sale on key accounts. • Position and demonstrate Docker's AI portfolio as the governance and security layer for modern AI-native development: • Docker MCP Gateway: policy enforcement for MCP tool calls in agentic AI development workflows • Docker AI Governance (GA May 2026): model lifecycle management, AI workload governance, and compliance controls • Docker Hardened Images (DHI): secure, continuously patched base images for AI model serving and application containers • Docker Sandbox (SBX): free microVM-based agent isolation for developer-facing AI coding workflows • Guide customers in implementing AI governance controls across their SDLC, with particular focus on securing agentic development environments. • Act as a subject matter expert on secure software supply chain, container security, and AI security trends in customer-facing and community engagements. • Provide architectural guidance for policy-as-code enforcement, identity and access governance for AI workloads, and SBOM visibility. • Develop reusable technical assets — workshops, demos, reference architectures, and Japanese-language enablement content — to scale impact across the channel and direct accounts. • Advocate for Japan customer and partner needs with Product and Engineering, providing structured feedback from field experience.