Sr. Staff Software Engineer- Eng - JAVA + AI

Hands-on Software Engineering Design, develop, test, and maintain high-quality backend services, APIs, distributed components, and cloud-native capabilities for the Ready product. Write clean, maintainable, performant, and well-tested code using Java and modern enterprise engineering practices. Take ownership of complex technical deliverables from design through implementation, testing, release, and production support. Contribute to code reviews, design reviews, and engineering discussions with a focus on quality, simplicity, scalability, and maintainability. Quickly learn and apply new technologies, frameworks, tools, and platform capabilities as product and engineering needs evolve. Technology Stack & Technical Roadmap Contribute to the evaluation, selection, and evolution of the technology stack for the Ready product, including application frameworks, database technologies, messaging, caching, observability, and cloud-native services. Partner with architects and engineering leaders to shape a practical technical roadmap that improves scalability, reliability, performance, developer productivity, and customer experience. Bring strong technical judgment to build-versus-buy decisions, framework selection, modernization efforts, and platform evolution. Help translate product and business needs into sustainable technical designs and implementation plans. Architecture & Design Design scalable and resilient software components that align with enterprise SaaS architecture principles. Contribute to architecture discussions for distributed systems, microservices, APIs, event-driven workflows, data-intensive features, and integration patterns. Identify design risks early and recommend pragmatic solutions that reduce complexity while supporting long-term product growth. Document technical designs, trade-offs, assumptions, and implementation approaches clearly for engineering teams. Observability, Troubleshooting & Operational Excellence Use observability platforms, logs, metrics, traces, dashboards, and alerts to understand system behavior and diagnose production issues. Troubleshoot complex technical problems across application, database, infrastructure, integration, and deployment layers. Contribute to root-cause analysis, incident follow-ups, and reliability improvements that prevent recurring issues. Improve monitoring, telemetry, logging, and service health practices using tools such as OpenTelemetry, Grafana, Prometheus, Kibana, Datadog, Splunk, or similar platforms. Support operational readiness through automation, meaningful alerts, clear runbooks, and production-aware engineering practices. Performance Engineering & Database Technology Tune application and database performance, including query optimization, indexing, connection management, caching, concurrency, transaction handling, and service-level latency improvements. Analyze performance bottlenecks using profiling, load testing, benchmarking, database execution plans, and production telemetry. Design reliable and scalable data models using relational database technologies and appropriate data access patterns. Collaborate with teams to improve throughput, latency, resiliency, cost efficiency, and scalability of product services. AI-First Engineering & Agents Apply AI-assisted development tools to improve software design, coding, testing, documentation, troubleshooting, and developer productivity. Bring practical understanding of AI trends, agents, coding assistants, and intelligent automation into engineering discussions. Identify opportunities where AI and agents can improve engineering workflows, support diagnostics, automate repetitive tasks, or enhance product capabilities. Follow responsible AI practices with attention to security, privacy, quality, reliability, and governance. Technical Collaboration & Mentorship Collaborate closely with engineers, architects, product managers, quality engineers, SRE, and engineering leaders to deliver reliable product capabilities....