• Responsible for defining and governing the end to end system and solution architecture for Remote Services platforms • Spanning IoT devices, connectivity, firmware management (FOTA), cloud platforms (AWS & Azure), and enterprise integrations • Partner closely with product, engineering, and operations teams to design secure, scalable, and resilient architectures • Enable remote diagnostics, monitoring, and over the air updates for connected products • Drive current state assessments, future state blueprints, and technology decisions aligned with enterprise digital strategy and standards

• Build and scale backend services using Node.js and TypeScript • Design and implement event-driven systems using AWS Lambda, SNS, and SQS • Develop and maintain APIs for web and mobile applications • Write efficient queries for Aurora MySQL and work with Redis where needed • Collaborate with PMs, designers, and developers on delivery • Participate in code reviews, planning, and architecture discussions • Debug production issues and improve system performance

• Build and scale backend services with Python (FastAPI). • Design and manage data models, migrations, and storage (PostgreSQL, Redis). • Implement and maintain distributed background jobs. • Develop modern frontend components with React/TypeScript. • Own features end-to-end: design, development, deployment, and maintenance. • Integrate third-party APIs into internal systems. • Contribute directly to product and culture in a flat, agile team.

• Reproduce reported DirectX 12 performance issues using data and scenarios provided by an internal testing lab. • Capture and analyze GPU and CPU profiles and traces using performance tools such as PIX (timing captures), GPUView/ETW, Windows Performance Analyzer (WPA/WPR), and vendor‑specific profilers (e.g., Radeon GPU Profiler). • Identify performance bottlenecks, including GPU‑bound vs. CPU‑bound workloads, synchronization issues, shader inefficiencies, pipeline stalls, and memory bandwidth constraints. • Analyze performance counters, timing data, and traces to isolate likely root causes and form clear, testable hypotheses. • Create clear, concise performance write‑ups that include reproduction steps, captured data, key metrics, and a summary of suspected hotspots. • Collaborate closely with graphics driver and runtime engineers to validate findings, test fixes, and confirm performance improvements or regressions. • Perform first‑level performance triage and determine appropriate next steps for deeper investigation or escalation.