Rishikesh Dhokare
Sr Staff Software Engineer @Wayfair
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WORK HISTORY
Sr Staff Software Engineer @Wayfair
Berlin, DE
Serving as a technical leader in Wayfair’s product catalog domain, focused on designing and scaling resilient customer, supplier-facing, and internal systems that handle high throughput and are core to Wayfair’s product experience. • Architected and delivered distributed services with strong emphasis on availability, observability, and system resilience - leveraging Domain-Driven Design and modern event-driven principles • Collaborated closely with product, engineering, and infrastructure teams to ensure architectural decisions aligned with customer impact and business value • Partnered with Developer Platform and Enablement teams to drive cross-company adoption of Generative AI tools and practices - including rollout of Cursor, integration with MCP, and design of multi-agent architectures for engineering workflows • Maintained active hands-on involvement across code, infrastructure, and developer workflows - from reviewing critical PRs to optimizing CI/CD pipelines and contributing to internal tooling • Mentored engineers at various levels, supporting growth in system design, architectural thinking, and technical communication • Helped cultivate a collaborative, knowledge-sharing engineering culture through design reviews, RFC authorship, and cross-team architecture forumsTech Stack: Java, Kafka, Redis, Bigtable, Google Cloud Platform (GCP), Kubernetes, Terraform, Buildkite, GraphQL, Python
EDUCATION
KIT's College of Engineering, Kolhapur
Bachelor of Engineering (B.E.), Computer Science and Engineering
SKILLS
ABOUT RISHIKESH DHOKARE
A pragmatic Senior Staff Software Engineer with ~15 years of experience designing, developing, and scaling high-traffic software systems - spanning frontend, backend, DevOps, and more recently, Agentic AI systems. Deeply motivated by solving meaningful problems, enabling others, and learning continuously along the way. Passionate about building complex, low-latency, and highly available distributed systems with a focus on resilient architecture, scalability, and long-term maintainability. Technology choices are always guided by context - with a philosophy of “make it work → make it right → make it fast” and a tool-agnostic mindset that prioritizes outcomes. At Wayfair, contributes to the architecture and delivery of customer-facing services within domain teams - designing systems that are resilient, scalable, and aligned with business outcomes. While deeply involved in system design (often guided by Domain-Driven Design), staying hands-on with code, infrastructure, and developer workflows remains essential. Collaboration across engineering, product, and business stakeholders is central - with a strong emphasis on solving real customer problems at scale.🤝 Actively engaged in cross-functional platform initiatives - working with Developer Platform and Enablement teams to drive adoption of Generative AI across the engineering org. Recent efforts include tools like Cursor, infrastructure like MCP, and building blocks for multi-agent architectures that enhance the SDLC. Invested in mentoring engineers at all levels - supporting growth in system design, technical storytelling, and long-term career development. Strongly values collective success, knowledge sharing, and building environments where engineers can do their best work together.🤖 Currently exploring ways to embed Generative AI into the software development lifecycle (SDLC)- with a focus on agentic systems that improve DevEx, reshape platform tooling, and augment how engineering teams build software. Always open to thoughtful conversations, mentorship opportunities, and advisory roles in the areas of platform architecture, developer productivity, and AI/SDLC transformation. Open to connecting with others working on resilient infrastructure, modern platforms, or AI-first engineering ecosystems.
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