Engineering Lead

• Lead the Forward Engineering Taskforce: Define, staff, and lead a cross-functional engineering taskforce in Singapore building empowered pods with clear full-stack ownership for strategic product initiatives within the Cloudera Data Platform
• Drive Massive Scale Execution: Oversee the technical design and execution of features, ensuring the delivery of scalable, performant, and resilient massive scale distributed systems and cloud-native services
• Champion Customer-Oriented Development: Work directly with customers and field teams to gather feedback, translate requirements into technical solutions, and ensure the taskforce delivers real-world customer value
• Foster Technical Excellence: Instill and enforce a strong engineering discipline within the taskforce, championing SDLC improvements, DevSecOps practices, rigorous testing, and a culture of code quality and technical ownership
• Partner and Collaborate: Serve as the connective tissue between the taskforce and global Engineering, Product, and Support teams to ensure seamless integration of strategic projects and alignment on dependencies
• Coach and Mentor: Build a high-trust, technically strong team, actively mentoring senior engineers and managers to cultivate full-stack expertise and leadership growth

• 10+ years of experience in software engineering
• 5+ years in senior management or Director-level roles managing cross-functional teams
• Deep technical expertise in building and operating massive scale distributed systems, modern data architectures, and hybrid/cloud-native infrastructure (preferably Kubernetes-based orchestration)
• Proven experience as a full-stack leader, capable of overseeing all aspects of product development (front-end, back-end, and infrastructure)
• Strong customer-oriented mindset with experience presenting technical roadmaps and solutions to external clients
• Very strong in Java
• DevOps knowledge
• Operational ability to define, track, and execute on key performance indicators (KPIs)
• Experience managing and mentoring technical leaders across different time zones
• Strong grasp of open-source dynamics and experience contributing to or leveraging projects (e.g., Apache Spark, Kafka, Iceberg)

Fluency in AI/ML lifecycle tooling and platforms is a plus

• Generous PTO Policy
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups