- Location
- Causeway Bay
- Type
- Full-time
- Department
- Engineering
- Seniority
- Director
- Education
- Master
- Closing date
- Today
- Source
- Vincere
Description
PRODUCT & TECHNOLOGY | SOUTH CHINA MORNING POST
Director of Engineering
About the Team
The South China Morning Post's Product & Technology department is composed of Product Managers, Project Managers, Engineers, Algorithms Architects and Designers. Ownership, meritocracy and collaboration are at our core. We are not afraid to think differently, embrace new ideas and dream big. We empower ownership and share responsibility. We support each other to achieve and grow. Our goal is simple - to create products that delight advertisers and readers alike.
Purpose of the Position
We are seeking a visionary and execution-focused technical leader to serve as Director of Engineering, managing our multidisciplinary organization across Development of Products, Mobile APP and CMS as well as DevOps and Quality Assurance. In this critical role, you will drive the end-to-end technical execution of our software platform, balancing rapid product delivery with system resilience, automated quality, and cutting-edge AI integration. As a key strategic partner to executive leadership, you will lead high-performing engineering teams to build scalable cloud applications, pioneer autonomous AI agent workflows, optimize continuous delivery infrastructure, and ensure high-grade software reliability.
In This Role, You Will
- Strategic Engineering Leadership: Define and execute the unified technology vision and delivery roadmap across product engineering, infrastructure, AI innovation, and quality assurance, directly aligning technical output with business growth.
- Product Development & Delivery: Lead cross-functional product development teams in building high-performing, scalable, and secure microservices architectures and enterprise applications.
- Agentic AI & Technical Innovation: Lead the integration of Agentic AI solutions, LLM orchestration, vector databases, and autonomous workflows into core product offerings to maintain product differentiation.
- DevOps & Cloud Infrastructure: Direct modern DevOps, GitOps, and SRE practices, maintaining high-availability multi-cloud environments, automated CI/CD pipelines (e.g., GitLab CI/CD), and edge security performance (e.g., Cloudflare).
- QA & Software Reliability: Establish end-to-end quality assurance governance, spearheading automated testing strategies (unit, integration, load, and performance) to ensure high code quality and continuous delivery efficiency.
- Security & DevSecOps Governance: Embed security best practices across the software development lifecycle (SDLC), driving zero-trust architecture, vulnerability management, secure coding standards, and compliance across systems and AI pipelines.
- People & Team Building: Recruit, mentor, and scale engineering managers and technical leads across the four core disciplines, cultivating a high-accountability culture focused on innovation and technical rigor.
- Stakeholder Alignment: Collaborate with executive leadership, product management, and business stakeholders to translate strategic product roadmaps into execution plans and predictable delivery schedules.
Skills and Experience That Will Lead to Success
- Education & Leadership Experience: Bachelor's or Master's in Computer Science or related engineering field; 10+ years in technology with 5+ years managing multi-functional engineering teams (dev, AI, infrastructure, QA).
- Agentic AI: Practical experience architecting agentic systems, tool-calling frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI), RAG architectures, prompt engineering, and LLM integrations.
- DevOps & Cloud Mastery: Deep expertise in cloud-native management, Kubernetes cluster orchestration, multi-cloud strategy, infrastructure as code (IaC), and advanced CI/CD automation.
- Quality Engineering Leadership: Demonstrated success building automated enterprise QA strategies, performance testing suites, and continuous testing frameworks across complex distributed environments.
- Security Best Practices & Compliance: Strong knowledge of DevSecOps, identity and access management (IAM), secure code review, threat modeling, AI/LLM security risks (e.g., OWASP Top 10 for LLMs), and industry compliance standards (e.g., SOC 2, ISO 27001, GDPR).
- Core Software & Data Foundations: Solid foundation in modern backend languages (React, Python, or Go), integration patterns (event-driven, serverless, REST), and enterprise data platforms (MongoDB, Elasticsearch, ClickHouse, GraphQL).
- Communication & Strategic Execution: Proven ability to communicate complex engineering paradigms to executive audiences, balance technical debt with business velocity, and drive operational excellence.
- Language Proficiency: Fluency in written and spoken English is required. Proficiency in Chinese (both Cantonese and Mandarin) is highly preferred and considered a strong value-add.