SimplifyNext is a Singapore-headquartered digital engineering firm with offices in Thailand and Malaysia. The Technology Analyst collaborates with consultants to address client challenges on complex projects. Responsibilities include engaging with subject matter experts to analyze business problems, gathering technical and operational requirements, assisting in architecture design, developing solutions on platforms like Microsoft and AWS, and conducting user acceptance testing. The role focuses on end-to-end technology consulting and implementation.

SimplifyNext is a digital engineering firm specializing in agentic AI, application modernization, and intelligent automation. The OutSystems Developer will design and build enterprise-grade applications on OutSystems O11, including Reactive Web and Mobile solutions. Responsibilities include translating business requirements into technical designs, implementing integrations using REST/SOAP APIs, and contributing to CI/CD pipelines. The role also involves collaborating with the AI and automation practice to deliver AI-augmented workflows. Key qualifications include 7+ years of development experience with at least 4 years in OutSystems, solid understanding of application architecture, and Agile/Scrum experience.

This role involves leading and governing strategic enterprise AI transformation programs to ensure alignment with corporate objectives and value realization targets. The position requires driving cross-functional collaboration among business units, technology teams, and external partners to accelerate AI adoption and business transformation. The focus is on maintaining effective governance, optimizing resource utilization, and delivering sustainable business outcomes through rigorous oversight of AI initiatives. The responsibilities include leading assigned AI projects from the business case through to operational handover and closure. This encompasses managing the entire project lifecycle, establishing program governance frameworks, and partnering with C-level executives to align priorities and resolve critical issues. The role also involves providing leadership to cross-functional delivery teams and managing strategic relationships with technology vendors and consulting firms to ensure delivery excellence.

You will lead the end-to-end product lifecycle for AI initiatives, ensuring alignment with business objectives and delivering high-impact solutions. This role requires a strategic mindset to define product vision and translate complex technical concepts into actionable requirements for engineering teams. You will collaborate closely with cross-functional stakeholders, including data scientists, engineers, and business leaders, to prioritize features and drive product success. The position demands a balance of analytical rigor and creative problem-solving to navigate the evolving landscape of artificial intelligence applications. Your primary focus will be on identifying opportunities where AI can create significant value for customers and the organization. You will own the product roadmap, manage backlogs, and ensure that development efforts are focused on delivering measurable outcomes. Success in this role involves making data-driven decisions, managing stakeholder expectations, and continuously iterating on products based on user feedback and market trends.

We are looking for an Offensive Security Engineer to proactively identify, validate, and prioritize security vulnerabilities across applications, infrastructure, and cloud environments. This role requires a deep understanding of red teaming, penetration testing, and threat-informed analysis. You will leverage modern automation and AI-assisted security techniques to enhance detection and remediation outcomes. The position involves hands-on work with web, API, network, cloud, mobile, and LLM environments to ensure robust security posture. You will utilize security tools such as Burp Suite, Nmap, Metasploit, Nessus/Qualys, and cloud security tools to perform manual exploitation beyond automated scanning. The role demands strong knowledge of OWASP Top 10, MITRE ATT&CK, and modern application architectures to understand common attack techniques and vulnerability chaining. You will assess and prioritize security risks based on technical severity and business impact, communicating findings effectively to engineering teams and executives.

Join Agoda's Back End Engineering team to build scalable, fault-tolerant systems that power our core business logic. This role focuses on leading the development of AI-powered data querying solutions, enabling users to interact with data through natural language. You will also architect and develop scalable data quality tools and frameworks to ensure reliable and trustworthy data. As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization. This position is based in Bangkok, Thailand, with relocation support provided. You will collaborate with TPMs and stakeholders to define and drive the technical vision and roadmap for AI-driven querying, query engines, and data quality tools. Additionally, you will mentor engineers and raise standards across data quality & governance tools, query engines, and the broader data platform.

The Google Cloud Platform (GCP) team empowers organizations to transform their businesses through cloud-native technology. This role involves partnering with cross-functional teams to drive business growth for clients by providing technical advisory and clearing deployment blockers. You will manage the execution of deployment plans, transitioning workloads into production while ensuring customers realize maximum value from their investment. The position requires a strategic approach to technical leadership, focusing on accelerating adoption and identifying expansion opportunities within existing accounts. As an Outcome Customer Engineer, you will play a pivotal role in helping customers navigate their digital transformation journey. You will work directly with technical stakeholders and executive leaders to design and implement solutions that leverage Google's cutting-edge infrastructure and tools. The role demands a deep understanding of cloud architecture, deployment planning, and change management to ensure successful project delivery and long-term customer success.

This role involves developing and deploying artificial intelligence solutions to solve complex business problems. You will work closely with cross-functional teams to design and implement machine learning models that drive innovation and efficiency. The position requires a strong understanding of data science principles and the ability to translate business requirements into technical specifications. You will be responsible for the full lifecycle of AI projects, from data collection and preprocessing to model training, evaluation, and deployment in production environments.

Lead the enterprise AI architecture strategy to enable scalable and secure AI adoption across business units. Own the end-to-end architecture governance and technical direction for AI and GenAI solutions. Drive the design and roadmap of enterprise-level AI platforms and shared services to ensure scalability and cross-business adoption. Define and enforce Responsible AI, security, and compliance frameworks while resolving complex architectural challenges. Lead technology evaluation and selection, establishing enterprise-wide architecture patterns and engineering best practices to drive consistency and efficiency.

This role serves as the strategic lead for enterprise-wide AI initiatives, bridging the gap between business objectives and technical execution. The successful candidate will drive the development and implementation of a comprehensive AI strategy that aligns with corporate goals and regulatory requirements. They will coordinate across business units to ensure consistent application of AI technologies and methodologies. The position requires a deep understanding of both the commercial potential of AI and the technical complexities of implementation. Success in this role depends on the ability to manage complex stakeholder relationships and deliver measurable business value through AI initiatives. The individual will be responsible for defining the roadmap for AI adoption and prioritizing high-impact use cases across the organization. They will establish robust governance frameworks to ensure compliance, ethical use, and accountability in AI deployment. Continuous monitoring of AI program performance and value realization is essential to demonstrate ROI and guide future investment decisions. This role demands a balance of strategic vision and operational execution, requiring the candidate to work closely with technical teams to translate business needs into technical solutions.