Senior Solutions Engineer

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Job Title: Senior Solutions Engineer

Location: Remote

Time Zone: US Time Zones (EST–PST)

Role Overview
We are seeking a customer-facing Senior Solutions Engineer to own the technical customer journey—from discovery and solution design through hands-on proof-of-value (POV) execution and early production success. This role sits at the intersection of enterprise infrastructure (on-prem, cloud, hybrid), unstructured data at scale, AI readiness, and governance/compliance. You will partner closely with Sales and work directly within customer environments to deliver measurable value quickly and drive production adoption.
Key Responsibilities

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Lead technical discovery with enterprise customers; translate business objectives (AI readiness, governance, compliance, cost/risk) into scalable solution architectures

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Deliver live demos, technical deep dives, and executive-level presentations tailored to diverse stakeholders

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Design and document deployment architectures across on-prem, cloud, and hybrid environments, outlining trade-offs and phased rollout strategies

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Own end-to-end proof-of-value engagements, including installation, configuration, integration, validation, and outcome measurement

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Troubleshoot deployment and performance issues; validate throughput, accuracy, and measurable business impact

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Drive transition from POV to production through documentation, knowledge transfer, and expansion planning

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Act as the technical voice of the customer, providing structured feedback to Product and Engineering teams

Required Qualifications

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Experience in a customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, Systems Engineer) within Tech, SaaS, or AI environments

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Strong experience with enterprise infrastructure across on-prem and cloud/hybrid environments (AWS, Azure, GCP)

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Solid foundation in networking and security fundamentals, including routing, firewalls, access controls, and IAM concepts

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Experience working with unstructured data environments (file systems, storage platforms, access models, governance considerations)

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Ability to communicate complex technical concepts clearly to both technical teams and executive-level stakeholders

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Working knowledge of AI concepts and practical familiarity with AI workflows, data preparation, and governance consideration.

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Prior remote work experience and fluency with remote collaboration tools/platforms (Slack, Zoom, Google Workspace, Asana, or similar). Candidates must have ideally worked with US or UK-based companies—applications without this experience will not be considered.

Preferred Qualifications

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Exposure to scripting or automation (Python, PowerShell) and/or Infrastructure as Code (Terraform or similar)

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Familiarity with data classification, metadata/content-based analysis, and large-scale scanning or analytics workflows

Tools & Technology

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Cloud: AWS, Azure, GCP

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Enterprise Infrastructure: On-prem storage systems, file servers, hybrid architectures

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Security & IAM: Access controls, identity models, governance frameworks

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Automation: Python, PowerShell, Terraform

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Collaboration: Slack, Zoom, Google Workspace, Asana (or similar)

Please NOTE

It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.

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Originally posted on Himalayas