PALO IT - Head of Engineering

Unknown - Asia-Pacific *2mo ago

In Office Director APAC Cloud Computing Artificial Intelligence Head of Engineering COO Documentation Coaching Client Consulting Cursor GCP

Requirements

• 8 or more years of software engineering experience, with a strong track record of hands-on technical leadership on complex delivery projects • Deep expertise in software engineering practices: architecture, code quality, testing, CI/CD, and DevOps. You should be able to do this work yourself and teach it credibly • Experience in a consulting or client-delivery environment, working across multiple projects and technology stacks • Proven ability to mentor and develop engineers, improving team capability over time • Familiarity with Agile delivery methodologies including Scrum, Kanban, TDD, and iterative development • Experience participating in presales or bid processes, contributing to scoping, estimation, and technical proposals • Demonstrated daily use of AI tools in your engineering work • Hands-on, daily use of AI coding assistants such as GitHub Copilot or Cursor. This should be how you currently work • Strong understanding of prompt engineering for code generation, documentation, architecture review, and automated testing • Experience validating and governing GenAI outputs, including reviewing AI-generated code, identifying errors, and enforcing quality guardrails across a team • Able to build and codify standards for AI-native engineering, including rules, prompt libraries, and playbooks, and to get a team to actually follow them • Good judgement about when AI output is fit for purpose, when it needs revision, and when to work without it, and the ability to teach that judgement to others • Good to Have • Good to Have • Hands-on experience with cloud platforms (Azure, AWS, GCP), particularly around architecture and CI/CD in cloud-native environments • Background across multiple technology domains including mobile, DevOps, and full-stack. Breadth is more useful than deep specialization at this level • Experience working with AI/ML services in a delivery context, such as LLMs, RAG pipelines, or AI agents integrated into products • Familiarity with enterprise software patterns including micro-services, API design, and event-driven architecture • What Success Looks Like at PALO IT • Gen-e2™ is real • Gen-e2™ is real • AI-native practices are applied consistently and correctly across teams. You can point to specific evidence of how and where. • Your projects set the bar • The projects you work on directly are the ones others look at as examples of how PALO IT engineers. • Engineers are growing • Hive Masters and Tech Leads are more technically capable and more confident in their AI-native practice than they were a year ago. • Standards stick • Standards stick • The engineering playbook is current and teams actually use it. Quality gates are enforced in practice, not just documented. • Teams get unblocked • Teams get unblocked • When a team hits a hard technical problem, you are the person who helps solve it, using expertise rather than authority. • Bids are credible • Bids are credible • Your input on proposals is trusted by the sales team. Technical estimates hold up when the project starts.

Responsibilities

• At PALO IT, AI-Native is the default. As Head of Engineering, your primary focus is engineering quality and the rigorous application of Gen-e2™ across our Thailand operation. • You will be directly involved in a selection of projects, working hands-on alongside teams and setting the standard that others calibrate against. Beyond your own projects, you will coach Tech Leads, establish engineering standards that apply across the delivery portfolio, and develop engineers at all levels. • Overall delivery operations sit with the COO. Your focus is different: how well we engineer, not whether we ship. You are the person who defines and protects what good looks like at PALO IT Thailand, across every technical decision made on our projects. • You will also contribute to presales, bringing engineering credibility and practical delivery insight to bids and client conversations. • Gen-e2™ Rigour and AI-Native Standards Core Mandate • Own the quality and consistency of Gen-e2™ application across the Thailand engineering team, auditing adoption, identifying gaps, and working with teams to close them • Define and maintain the engineering standards playbook, covering prompt libraries, coding conventions, AI output validation, security guidelines, and quality gates • Continuously improve the Gen-e2™ methodology based on what you observe in delivery, what works and what does not • Evaluate new AI tools and practices that could meaningfully improve quality or velocity • Be the internal escalation point for hard technical problems, the person teams come to when they are stuck • Embedded Delivery Excellence • Take direct technical leadership on selected projects, working alongside teams rather than managing from a distance • Ensure Gen-e2™ is applied with real rigour on the projects you lead, including AI-assisted code generation, automated testing, CI/CD discipline, and structured code review • Identify and address technical risks and quality issues early, before they become delivery problems • People Development and Engineering Culture • Mentor and develop Hive Masters and Tech Leads, building their technical depth, engineering judgement, and AI-native capability over time • Foster a culture of craftsmanship and continuous improvement, where engineers take pride in quality and learn from every project • Support performance conversations and career development for engineers, in partnership with the COO • Contribute to hiring decisions, helping to assess technical capability and generative AI aptitude in candidates • Run engineering communities of practice, including knowledge-sharing sessions, technical retrospectives, and cross-team learning • Presales Support Supporting Role • Contribute engineering expertise to bid and proposal processes, including scoping, effort estimation, and solution validation • Review technical assumptions in RFP responses to ensure commitments are realistic and deliverable using Gen-e2™ • Provide input on team composition and technical approach for proposed engagements

Benefits

• Stimulating, AI-native working environment • Unique engineering leadership career path • International mobility across 10 countries • Internal R&D projects and Gen-e2™ practice • Knowledge sharing and global community • Personalized training and learning budget • Entrepreneurship and intrapreneurship culture • B Corp values: impact, wellbeing, excellence • We prioritize local talent • We will be prioritizing applicants who have a current right to work in Thailand and do not require visa sponsorship.