• Build core exchange logic: markets, users, collateral, fees, order routing • Implement professional liquidity sources, on-chain matching, margining, liquidation, and risk enforcement • Help design the end-to-end architecture of a perpetuals exchange • Ensure on-chain and off-chain systems operate as a cohesive, low-latency stack • Optimize systems for latency, throughput, and compute efficiency • Write thorough tests and maintain clear, living documentation • Improve developer tooling and onboarding experience • Design, implement, and deploy production-grade Solana smart contracts in Rust

• Recording and analyzing customer requirements in the VCF / SDDC and Telco Cloud environment. • Creation and coordination of architectural concepts. • Conducting strategy workshops and consulting with regard to architecture and design. • Creating implementation roadmaps based on the strategic decisions made. • Overseeing the implementation of designed solutions. • High-end troubleshooting.

• Design, build, and maintain robust, scalable web applications • Develop responsive and user-friendly front-end interfaces using **React.js** • Build high-performance, secure backend services using **Python and FastAPI** • Integrate frontend applications with RESTful APIs and backend services • Work with **Agentic AI systems**, including AI-driven workflows, autonomous agents, or LLM-based services • Collaborate with UI/UX designers to enhance usability and visual experience • Design, manage, and optimize databases for performance and scalability • Test, debug, and optimize applications to ensure reliability and speed • Participate in code reviews and maintain high code quality standards • Contribute to architecture improvements and best engineering practices • Document processes, decisions, and improvements across the codebase • Stay up to date with emerging technologies, especially in AI and web development

• Lead, mentor, and scale Data Engineering and Data Reliability Engineering (DRE) teams • Establish clear ownership, operating models, and accountability across data platforms and operations • Conduct regular one-on-ones, performance reviews, and career development for senior engineers and leads • Build a strong culture of operational ownership, reliability, and continuous improvement • Ensure data platform costs are predictable, optimized, and scale efficiently with business growth • Own and evolve core data platforms including: MongoDB Atlas, ClickHouse, Firestore, AlloyDB/Cloud-native relational databases, Caching systems (Redis/Memorystore) • Drive architectural decisions for scalability, performance, and multi-tenant workloads • Lead data platform upgrades, migrations, and long-term strategy • Own backup, restore, and disaster recovery for all critical data systems • Define and enforce RTO / RPO standards • Lead data incident response and post-incident remediation • Ensure regular DR drills, restore testing, and operational readiness • Reduce operational risk through automation and standardization • Establish and enforce schema change governance and data change controls • Partner with Security, SRE, and Governance teams on: Audit evidence and traceability || Risk management and controls • Act as the executive owner for data-related audit and compliance topics • Partner with Cloud Infrastructure & SRE on runtime reliability • Communicate clearly with executive leadership on risks, tradeoffs, and roadmap • Establish high standards for data availability, durability, and performance • Define and track KPIs related to: Data reliability, Incident frequency and MTTR & Recovery readiness • Drive continuous improvement across platforms and operations • Own cost efficiency and optimization across all data platforms • Monitor data platform spend and growth trends • Identify cost drivers and inefficiencies • Implement right-sizing, tiering, and lifecycle strategies • Balance performance, reliability, and cost when making architectural and operational decisions • Establish cost-related KPIs and regularly report on optimization initiatives and savings • Ensure data platform cost scales predictably with customer and usage growth • Own planning and prioritization for data infrastructure investments • Partner with leadership on headcount planning and hiring • Ensure efficient use of cloud and data platform resources