Principal Solutions Architect/Engineer (pre-sales)
Thoughtworks Bangkok, ThailandEst. Est. THB 2,200,000–3,500,000 / yearLead
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Sql
- Nosql
- Aws
- Azure
- Gcp
- Kubernetes
- Ci/Cd
- Graphql
- Llm
*Due to the nature of the projects and specific client security clearance requirements, this role requires the successful candidate to be Thai Citizen Only
Job Description
As a Principal Solution Architect, you turn complex client problems into well-reasoned, scalable and buildable technology designs for enterprises across the dynamic Thai market.
This is a senior, hands-on engineering role at the intersection of system design, pre-sales and delivery. You work with business development, solution architects and delivery leaders to take opportunities from a whiteboard sketch to a credible solution: a clear architecture, explicit trade-offs, realistic estimates and a practical path to production. You engage directly with client technology leaders across Thai enterprises, from large conglomerates and financial institutions to retail powerhouses, and you earn credibility by going deep on how systems really work: at scale, under failure and within real-world constraints.
You should be comfortable moving between discovery workshops, design reviews, proof-of-concept builds and early delivery support. You design across the full stack of modern systems, including APIs, data stores, caching, messaging, cloud infrastructure, security and observability. You also bring AI into the picture in a practical way, designing ML and LLM-powered solutions that are reliable, cost-aware and responsible.
Job responsibilities
Translate business goals and non-functional requirements (scale, latency, availability, security and cost) into clear solution designs, using back-of-the-envelope estimation to size systems early.
Design end-to-end architectures covering API design, service decomposition, data modelling and storage, caching, messaging and event-driven integration.
Make architecture trade-offs explicit, such as consistency vs. availability, SQL vs. NoSQL, sync vs. async and build vs. buy, and document them through design reviews and architecture decision records.
Design for resilience and scale, including high availability, fault tolerance, horizontal scaling, replication, sharding, rate limiting and disaster recovery.
Shape cloud-native solutions on AWS, Azure or GCP, including containers, Kubernetes, infrastructure as code, CI/CD and safe deployment strategies.
Build security, identity and observability into designs from the start, covering authentication and authorization, encryption, secrets management, logging, metrics and tracing.
Design AI-enabled solutions, from ML systems (data pipelines, training, serving and monitoring) to GenAI applications (RAG, agents, evaluation, guardrails, and cost and latency optimization).
Build proofs of concept, reference implementations and technical spikes to validate critical design choices and de-risk proposals before commitment.
Support pursuits with solution designs, architecture diagrams, estimations and the technical sections of proposals and RFP responses in both Thai and English.
Present designs clearly to technical and non-technical audiences, using simple visual explanations of how a system works and why it is built that way.
Partner with delivery teams to hand over designs, guide early implementation and ensure what is designed can be built, operated and evolved.
Mentor engineers, run design clinics and contribute reusable design patterns and thought leadership that strengthen Thoughtworks’ engineering reputation in the Thailand market.
Job qualifications
Technical Skills
System Design Fundamentals: Strong grasp of scalability, latency, throughput, availability and consistency, including CAP theorem, consistent hashing, load balancing, CDNs and capacity estimation.
API & Integration Design: Experience designing REST, GraphQL, gRPC, WebSocket and webhook interfaces, API gateways, pagination, idempotency and versioning.
Data & Storage: Practical knowledge of relational and NoSQL databases, indexing, replication, sharding, transactions and isolatio
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