• Collaborate with the principal engineers on developments planning and architecture designs. • Coordinate subprojects, building and maintaining distributed, clean, testable and data oriented applications. • Improve services reliability, scalability and performance. • Own your code all the way to production with a self-service continuous delivery pipeline and production infrastructure. • Dive deep into host-level problem-solving and help to improve detection methods. • Play a vital role in nurturing our engineering culture, emphasizing quality through peer-reviews, monitoring, and on-call best practices. • Mentor junior developers to help them grow. • Collaborate closely with the Data Science team on data oriented feature development.

• Write production code every day • Contribute to architectural decisions • Improve system reliability • Actively participate in Agile ceremonies (planning, stand-ups, retrospectives)

• Lead and manage a team of 7–10 backend engineers, with clear ownership of delivery, quality, and sustainable execution. • Drive practical, team-wide adoption of AI-assisted software development, integrating AI tools into everyday workflows such as design, implementation, testing, code review, and incident analysis. • Own and continuously evolve the architecture of large-scale, security-critical cloud services consisting of 70+ Java-based microservices. • Act as the primary architectural decision-maker for the team, balancing long-term maintainability, security, and scalability with delivery needs. • Define and maintain engineering standards and best practices, including clear guidance on effective and responsible use of AI tools. • Support engineers through coaching, regular feedback, and mentorship, fostering a collaborative, psychologically safe, and high-performing team environment. • Guide the design and development of web-based management APIs using JSON and REST. • Collaborate closely with other teams and stakeholders on system design, integration, and deployment. • Remain hands-on when needed, focusing on architectural validation, complex problem-solving, and high-impact code reviews rather than day-to-day feature delivery. • Promote high standards in security, reliability, performance, and operational readiness across all owned systems.

• You will drive technical strategy for data pipeline workflows, making trade-offs that balance short and long-term needs across multiple teams and domains • You will deeply understand the 80% workflows performed by platform engineers day-to-day and how these contribute to the broader mission • You will provide technical expertise to multiple teams and contribute to engineering standards and best practices across Canva • You will navigate complex stakeholder relationships, translating between technical and business needs while advocating effectively for engineering requirements • You will take significant ownership of configuration frameworks and infrastructure abstraction tools, leading improvements to code structure and reducing technical debt • You will define and roll out new tools, standards, and processes that improve engineering effectiveness across multiple teams • You will help build and develop the team through effective delegation, mentorship, feedback, and by identifying opportunities for others to grow • You will work alongside the team engineering lead to identify high-value opportunities and ensure the team’s roadmap is always pointing in the right direction