Principal Software Engineer- Eng - JAVA + AI Architect

Define and drive the architectural vision for the Ready product, ensuring scalability, resiliency, performance, maintainability, and long-term extensibility. Lead the evaluation, selection, and evolution of the core technology stack, including application frameworks, cloud-native services, database technologies, observability tools, messaging systems, and AI-enabled engineering capabilities. Define and influence the technical roadmap in partnership with engineering leadership, product management, architecture, and cross-functional stakeholders. Lead architecture reviews, design discussions, and technical decision-making for complex product and platform initiatives. Provide technical direction across multiple teams and ensure alignment with enterprise engineering standards, security expectations, and operational goals. Evaluate emerging technologies, frameworks, and engineering practices to continuously improve product capabilities, developer productivity, and system reliability. Software Engineering & Platform Development Design and build highly scalable, secure, and reliable cloud-native services using Java and related enterprise technologies. Lead the development of distributed systems, APIs, backend services, event-driven workflows, and data-intensive applications. Drive modernization initiatives that improve system performance, scalability, maintainability, and engineering velocity. Establish and promote engineering best practices around code quality, testing, automation, design patterns, performance optimization, and maintainable architecture. Lead complex cross-functional engineering initiatives that require coordination across multiple teams, systems, and stakeholders. Ensure the Ready product is built with an enterprise-level mindset, including strong consideration for scalability, compliance, security, availability, customer experience, and operational readiness. Observability, Reliability & Operational Excellence Drive platform-wide improvements in observability, monitoring, logging, metrics, tracing, alerting, and service health management. Define and implement observability standards using platforms and tools such as OpenTelemetry, Grafana, Kibana, Prometheus, Datadog, Splunk, or similar technologies. Lead troubleshooting and root-cause analysis for complex production issues, performance bottlenecks, system failures, and reliability concerns. Partner with engineering, operations, and SRE teams to define service-level objectives, operational metrics, error budgets, incident response practices, and reliability improvement plans. Lead post-incident reviews and ensure corrective actions result in long-term improvements to architecture, automation, resiliency, and monitoring. Champion proactive engineering practices that improve product stability, reduce operational risk, and enhance customer trust. Performance Engineering & Scalability Drive performance tuning across application services, database layers, APIs, integration points, and distributed system components. Identify and resolve scalability challenges in high-volume, enterprise-grade SaaS environments. Lead capacity planning, load testing, profiling, query optimization, caching strategies, and performance benchmarking efforts. Ensure that technical designs account for throughput, latency, concurrency, data growth, resiliency, and cost efficiency. Partner with teams to establish measurable performance goals and continuously improve system responsiveness and efficiency. AI-First Engineering & Agents Bring strong insight into AI trends, AI-assisted engineering, intelligent automation, and agent-based capabilities. Drive adoption of AI tools and practices to improve software design, development, testing, documentation, troubleshooting, and operational workflows. Identify opportunities to leverage AI and agents within the engineering lifecycle and product ecosystem to improve productivity, quality, and customer value. Guide teams on responsible AI usage, including...