• Adapt YDB to leverage modern hardware to its fullest potential: QLC NVMe drives, Dual 800Gb/s network adapters, BlueField DPUs • Maximize performance on widely used devices such as HDDs and TLC NVMe • Reengineer YDB components with more efficient algorithms to solve complex system challenges

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives. • Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years. • Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production. • Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability. • Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity. • Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de-risk decisions, or accelerate progress. • Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making. • Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact. • Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems. • Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture. • Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives. • Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth. • Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization. • Advocate for intelligence driven solutions across the organization and influence company wide technical priorities. • Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy. • Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence. • Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution. • Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs. • Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership. • Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs. • Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries. • Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned. • For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy. • Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones. • Drive execution on complex projects with significant ambiguity or high cost of failure. • Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models. • Promote a bias toward action, thoughtful experimentation, and continuous learning. • Model excellence in engineering craft, collaboration, accountability, and inclusive behavior. • Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity. • Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

• Developing cloud-based applications/micro-services hosted in Kubernetes clusters. • Developing customer Kubernetes resources and controllers for these resources. • Managing all aspects of the end-to-end development and deployment lifecycle, including Writing high quality unit-tests. • Creating deployment manifests and helm charts. • Adding monitoring support for metrics, logging, tracing and alerting. • Designing and implementing scalability and fault tolerance aspects.

• Abstract requirements to analyze and design innovative new software solutions for enhancement of the company’s products • Responsible for the performance of employees on their team and provides status reports • Provide technology leadership and mentoring to the team • Reviews and evaluates the team’s output to ensure that all work adheres to standards and best practices while maintaining a high degree of quality • Understand the team’s deployment pipelines and processes • Leverage the team’s capabilities to maximize effectiveness • Understand the high-level architecture employed by the team and cross-product interactions • Test and own software solutions appropriately throughout their lifecycle • Actively participate as a full member of an Agile development team • Deliver unit-tested solutions • Evident interest in keeping up to date with technology landscape and best practices • Responsible for completing employee performance reviews and development plans • May be asked to perform other duties as assigned