• Design, develop, and maintain scalable, reliable, and efficient fullstack applications using ReactJS, NodeJS, NestJS, MongoDB, and PostgreSQL. • Ensure the reliability and efficiency of system infrastructure. • Optimize application performance for maximum efficiency and scalability. • Implement and oversee continuous monitoring and alerting systems. • Collaborate with the development team to identify and resolve performance bottlenecks. • Conduct root cause analysis for production errors and incorporate feedback to prevent future incidents. • Develop and execute unit tests to ensure code quality and reliability. • Utilize Git for version control and collaboration within the development team.

• Build and maintain internal tooling that helps Support and Engineering teams investigate, debug, and resolve customer issues efficiently. • Partner closely with Support leads and other internal stakeholders to turn real-world pain points into scalable, reliable tooling. • Own and evolve our primary internal admin dashboard, including maintaining existing functionality and contributing to its future frontend architecture. • Design, implement, and maintain ticket automations, including rule-based workflows, webhook-driven background jobs, and cross-tool integrations. • Build and improve an AI agent and supporting workflows that automate repetitive tickets and help support engineers focus on harder, higher-impact issues. • Develop and maintain integrations with third-party systems such as Front, Slack, Linear, and incident management tooling. • Ensure reliability, observability, and operational safety for critical internal systems, including participating in an on-call rotation.

• Design, implement, and optimize peer-to-peer networking components in the Bor, Erigon, and Heimdall clients. • Analyze and improve network stability by identifying peering bottlenecks, protocol edge cases, or propagation inefficiencies. • Investigate incidents and contribute to root cause analysis (RCA) efforts related to network partitions, peer discovery failures, or gossip performance issues. • Collaborate closely with internal protocol and infra teams to align client behavior with network goals. • Contribute to client documentation and architecture discussions around networking layers and system resilience. • Stay up to date with trends and developments in distributed systems and peer-to-peer infrastructure.

• Design, build, and deploy production-ready AI-powered applications within the Azure ecosystem • Solve complex client challenges leveraging modern AI tools • Collaborate with cross-functional teams • Maintain high-quality outcomes in fast-paced environments • Engage with clients to understand their needs and deliver tailored solutions