Principal Solutions Engineer

Hire Hangar

Johannesburg

Remote

ZAR 2,285,000 - 3,265,000

Full time

14 days+

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Job summary

Hire Hangar is seeking a Principal Solutions Engineer to guide enterprise customers through AI readiness initiatives and large-scale data transformations. This remote role supports US time zones and spans architectural design, proof-of-value, and production success.

You will work across on-prem and cloud ecosystems, delivering scalable architectures, governance, and measurable ROI while collaborating with senior stakeholders and cross-functional teams.

Qualifications

  • Extensive experience in enterprise pre-sales or customer-facing roles within SaaS, AI, or infrastructure sectors.
  • Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP).
  • Strong grounding in security architecture, IAM, and governance frameworks.
  • Experience working with large-scale unstructured data and compliance-sensitive environments.
  • Ability to present technical and business value clearly to C-level stakeholders.
  • Practical understanding of AI data pipelines, readiness assessments, and governance controls.
  • Must have prior remote work experience with US/UK-based companies.

Responsibilities

  • Translate customer AI, compliance, and data governance goals into scalable technical architectures.
  • Design phased deployment strategies across on-prem and cloud ecosystems.
  • Execute and manage proof-of-value engagements with defined success metrics.
  • Lead technical workshops and stakeholder alignment sessions.
  • Optimize system performance, validate throughput, and ensure production readiness.
  • Develop technical documentation and best practices for enterprise rollout.
  • Provide structured customer insights to influence product roadmap decisions.

Skills

Enterprise pre-sales
Customer-facing engineering
Hybrid infrastructure
C-level storytelling
Security governance

Tools

AWS
Azure
GCP
Terraform
Python
PowerShell
Slack
Zoom
Google Workspace
Asana

Job description

Join Hire Hangar and work with fast-growing global companies while building a long-term career.

Job Title: Principal Solutions Engineer

Location: Remote

Time Zone: US Time Zones (EST–PST)

Role Overview

We are seeking a Principal Solutions Engineer to guide enterprise customers through AI readiness initiatives and large-scale unstructured data transformations. This role owns the technical lifecycle—from architectural design and proof-of-value delivery to production success and expansion. You will operate within complex enterprise environments, ensuring performance, governance, and measurable ROI.

Key Responsibilities

  • Translate customer AI, compliance, and data governance goals into scalable technical architectures

  • Design phased deployment strategies across on-prem and cloud ecosystems

  • Execute and manage proof-of-value engagements with defined success metrics

  • Lead technical workshops and stakeholder alignment sessions

  • Optimize system performance, validate throughput, and ensure production readiness

  • Develop technical documentation and best practices for enterprise rollout

  • Provide structured customer insights to influence product roadmap decisions

Required Qualifications

  • Extensive experience in enterprise pre-sales or customer-facing engineering roles within SaaS, AI, or infrastructure sectors

  • Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP)

  • Strong grounding in security architecture, IAM, and governance frameworks

  • Experience working with large-scale unstructured data and compliance-sensitive environments

  • Ability to present technical and business value clearly to C-level stakeholders

  • Practical understanding of AI data pipelines, readiness assessments, and governance controls

  • Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.

Preferred Qualifications

  • Experience in highly regulated sectors (healthcare, financial services, insurance)

  • Background in automation, scripting, or Infrastructure as Code

  • Familiarity with metadata analysis, data classification, or enterprise scanning technologies

Tools & Technology

  • AWS, Azure, GCP

  • Enterprise storage and hybrid systems

  • Identity and governance frameworks

  • Python, PowerShell, Terraform

  • Slack, Zoom, Google Workspace, Asana

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