• Work with external customer and internal teams to the design and development of enterprise HDD and its storage applications • Provide technical leadership and mentorship to development teams, fostering a culture of engineering excellence • Collaborate with cross-functional teams to define and implement product roadmaps and technical strategies • Develop deep understanding of Linux Kernel and modern Datacenters and Storage Systems • Establish best practices for HDD usage and define best performance tuning to meet these usage demands • Drive continuous improvement in quality • Work on the evaluation and adoption of new technologies and frameworks to enhance our development capabilities

• Architect and implement scalable applications that ingest and clean data from APIs of digital marketing platforms. • Design and build systems for labeling, categorizing, and cleaning data, enabling it to power performance dashboards and AI models. • Lead the development of predictive models for media spend forecasting as part of an MVP, with plans to expand into other AI-based modules. • Collaborate with data science teams to develop GPT-powered models for digital marketing performance enhancement. • Develop AI-driven tools that are aimed to drive efficiency or performance • Create powerful pipelines to help create dashboards to present key insights from processed data. • Own the end-to-end solution design, ensuring robustness, scalability, and alignment with business goals.

• Build and evolve end-to-end product features across backend, frontend, and APIs. • Partner closely with Product and Design to deliver simple, intuitive user experiences. • Translate customer needs into thoughtful technical solutions that scale. • Make principled trade-offs between speed, quality, and long-term maintainability. • Own features in production, including iteration, reliability, and improvement over time. • Contribute to shared standards, tooling, and practices that raise engineering quality. • Work within a small, empowered squad with clear ownership over a product vertical.

• Define and evolve software architecture for large‑scale SaaS, analytics, and monitoring platforms. • Translate product and business concepts into feasible technical solutions through requirements, architecture design, and proof‑of‑concepts. • Partner with product, marketing, engineering, and leadership to align solutions with business goals. • Architect event‑driven, data‑centric, and enterprise‑integrated systems. • Evaluate emerging technologies, including AI‑enabled capabilities, and guide technical adoption. • Provide architectural guidance, documentation, and technical direction to development teams. • Clearly communicate architectural concepts to technical and non‑technical stakeholders. • Ensure solutions are scalable, performant, maintainable, and meet regulatory requirements (ISO, GDPR, EU CRA, etc) and follow best practices in cybersecurity.