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Solutions Engineer, DoiT Cloud Intelligence — Thai Speaking - DoiT

About DoiT

DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production.

With extensive experience across various cloud environments, we possess deep specializations in Cloud Data Platforms such as Snowflake, Databricks, and BigQuery, as well as FinOps expertise. As a trusted strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide.

DoiT Cloud Intelligence (DCI)

Our flagship platform uniquely combines advanced technology with human insight to solve complex multicloud challenges:

  • Deep Visibility: Provides insights into cloud cost, usage, performance, and optimization opportunities across complex multi-cloud environments.
  • Continuous Optimization: Combines automation, analytics, and expert guidance to identify savings opportunities and improve resource efficiency at scale.
  • Portfolio Tooling: Powers MSPs, SIs, and PE operating teams with portfolio-level insights and benchmarking to manage multiple cloud environments.
  • Prescriptive Outcomes: Delivers recommendations and automated workflows helping engineering, finance, and platform teams turn cloud intelligence into measurable outcomes.

The Opportunity

As a Solutions Engineer supporting DoiT Cloud Intelligence in Thailand, you will be the hands-on technical face of DoiT in the local market. Partnering with Account Executives, Customer Success, and the AWS field team, you will help Thai enterprises, digital natives, MSPs, and Systems Integrators unlock actionable insights across their AWS and multi-cloud environments.

This is a growth-oriented Field Engineering role chartered to drive DCI adoption through high-impact technical sales plays, revenue growth, partner-led pipeline, new logo acquisition, and upsell/cross-sell motions. You will sit at the intersection of customers, cloud platforms, and our product team.

Responsibilities

  • Technical Qualification & Discovery: Partner with Account Executives to conduct in-depth discovery sessions across engineering, finance, and platform teams, assessing FinOps maturity, cloud architecture, and cost management goals.
  • Technical Validation & POV Leadership: Own and drive technical validation and Proof of Value (POV) exercises for DoiT Cloud Intelligence, demonstrating clear value alignment.
  • Platform Demonstrations: Deliver compelling, tailored demonstrations of DCI in both Thai and English.
  • Business Case & ROI Development: Build financial and operational business cases articulating the ROI of adopting DCI for engineering and executive audiences.
  • AWS Partner-Led Growth: Co-sell with AWS field teams and local partners on partner-sourced pipeline and accelerator programs (GenAI, MAP, WAFR).
  • Hands-On Cloud Engineering: Lead structured technical engagements including optimization sessions, architecture deep dives, security reviews, and migration assessments.
  • DCI Expertise: Serve as the regional DCI expert—building custom analytics, cost allocation views, Composer queries, and CloudFlow automations embedded into CI/CD workflows.
  • Partner & Portfolio Support: Support MSP, PE, and SI technical engagements demonstrating multi-cloud portfolio visibility.
  • Reusable Assets & Content: Translate field work into Terraform modules, playbooks, webinars, architecture diagrams, and workshops in Thai.
  • Product Advocacy: Translate local customer pain points and partner feature requests into structured input for global Product and Engineering teams.

Requirements

  • Language Fluency: Native-level Thai fluency (spoken and written) with professional working proficiency in English.
  • Cloud Architecture: 5+ years of hands-on experience designing, deploying, and operating production workloads on AWS (GCP or Azure is a strong plus), spanning compute, storage, networking, IAM, and observability.
  • Customer-Facing Experience: Background in Solutions Engineering, Solutions Architecture, Pre-Sales, or Field Engineering serving enterprise or mid-market accounts.
  • Technical Depth: Expertise in cloud infrastructure, data & analytics, or ML/GenAI.
  • FinOps & Economics: Practical judgment in cost vs. performance vs. reliability tradeoffs for both engineers and business stakeholders.
  • Observability & Automation: Practical experience with observability tools (Datadog, New Relic, CloudWatch) and Infrastructure as Code (Terraform, CI/CD, scripting).
  • Data Analysis: Strong ability to navigate large datasets to identify trends, outliers, and cost correlations.
  • Communication: Exceptional presentation skills with experience presenting to executive-level buyers.

Bonus Points

  • AWS Certifications (Solutions Architect Professional, Advanced Networking, Machine Learning) or FinOps Certified Practitioner.
  • Experience with AWS partner programs (MAP, WAFR, GenAI accelerators) or within an AWS Partner / MSP / SI.
  • Experience in SRE, platform engineering, or dedicated cloud cost management tooling.
  • Datacenter migration experience (e.g., VMware to cloud).

Benefits & Work Culture

  • Unlimited Vacation
  • Flexible Working Options (Remote-First)
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan (ESOP)
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program

Timezone overlap

UTC+7–+10

Open to

APAC · Singapore

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