• Serve as the senior technical authority for the Platform Integrations service suite • Own architectural decisions across the integration platform • Assess and improve the reliability of integration services • Evaluate and recommend cloud-native Azure patterns for data movement • Drive the active migration of business logic out of legacy integration platforms • Write, review, and contribute production-quality code across the integration stack • Debug complex issues that span C#/.NET and Oracle PL/SQL boundaries • Establish and enforce testing standards across the integration platform • Mentor engineers who may be less familiar with Oracle, financial domain concepts, or integration patterns • Contribute to cross-team technical forums alongside Principal Engineers

• Own and evolve the platform's observability posture — structured logging, distributed tracing, health check endpoints, and correlation tracking — ensuring consistent adoption and coverage across all services. • Drive SLO/SLI definition and dashboard creation; expand alerting coverage from log-based alerts to include APM metrics, latency, and throughput. • Identify and eliminate reliability anti-patterns across the portfolio — replacing fragile legacy patterns with resilient, cloud-native alternatives. • Implement proper resilience patterns — circuit breakers, retry policies, graceful degradation, dead-letter handling, and idempotent message processing. • Replace legacy messaging anti-patterns (database polling, file-system coupling) with event-driven messaging infrastructure — this is the highest-impact reliability improvement available to the platform today. • Serve as the senior technical authority for the Platform Services portfolio — owning architecture, reliability, and engineering quality across a broad set of production services. • Assess the current state of the service portfolio, identify the highest-impact reliability and modernization opportunities, and build a sequenced roadmap in partnership with the Scalable Architecture Team and Engineering Manager. • Evaluate and recommend the right cloud-native Azure services and patterns for the platform's future state — this is an open architectural question you will help answer, not a predetermined path. • Own shared library and cross-cutting infrastructure used across the service portfolio; ensure consistent adoption of engineering standards across all services. • Ensure production stability across multiple independent deployment ecosystems throughout the modernization process. • Create and execute migration paths for legacy services across multiple .NET framework generations — prioritizing highest-risk services and sequencing work to minimize production disruption. • Partner with the Scalable Architecture Team to ensure modernization decisions align with the platform's long-term technical direction and emerging design patterns. • Evaluate and sequence modernization priorities across a diverse portfolio, balancing production stability with long-term architectural investment. • Write, review, and contribute production-quality code across the services portfolio — C#/.NET, Oracle SQL/PL/SQL, and cloud infrastructure patterns. • Debug complex issues that span service boundaries, database interactions, and cloud infrastructure. • Establish and enforce testing standards across the services portfolio — unit, integration, and resilience testing patterns. • Champion ≥50% AI-authored PR targets and ≥95% AI code review adoption as organizational minimums. • Model an agentic development mindset — integrating AI tooling into your own daily workflow and actively coaching teammates to do the same. • Push the team beyond baseline AI adoption into workflows and practices that measurably improve delivery velocity and platform quality. • Stay current on agentic development tooling and bring forward-looking recommendations to the Engineering Manager and Sr Director. • Set the technical bar for the team — establishing coding standards, architectural patterns, and engineering practices across a large, diverse service portfolio. • Mentor engineers on cloud-native patterns, observability best practices, resilience engineering, and .NET modernization. • Contribute to cross-team technical forums alongside Principal Engineers, the Solution Architect, and Engineering Managers.

• Be the tip of the spear in using and evangelizing AI within Software Development • Integrate AI capabilities into product features, including agentic workflows, and AI-assisted user experiences • Provide technical leadership in solving complex software development challenges that meet and exceed customer expectations • Design and implement robust, scalable, and high-performing backend solutions using .NET / .NET Core, C#, and SQL • Own the full development lifecycle from requirements through testing — producing clean, reusable, and maintainable code • Lead, critique, and coach others in code reviews, architecture discussions, while identifying dependencies and resolving impediments for other engineers • Interact with product owners and stakeholders to clarify requirements and translate them into well-architected solutions

• Serve as the senior technical authority for the Broker Applications team — making day-to-day engineering decisions, setting the bar for code quality, and ensuring the team delivers high-quality software on schedule. • Write, review, and contribute production-quality code across the full stack — C#/.NET, Angular, and Oracle — as an active, hands-on member of the team. • Lead architecture discussions and make technical recommendations that align with the long-term CEM platform strategy — ensuring broker-specific work generalizes across the broader client base wherever possible. • Hold the team accountable to engineering standards — unit testing, code review discipline, definition of done, and release readiness. • Partner with Platform Integrations and Platform Services teams to design and implement new data connections required for broker onboarding and feature delivery. • Champion ≥50% AI-authored PR targets and ≥95% AI code review adoption as organizational minimums for your team. • Model an agentic development mindset — integrating AI tooling into your own daily workflow and actively coaching teammates to do the same. • Push the team beyond baseline AI adoption into workflows and practices that measurably improve delivery velocity and code quality. • Stay current on agentic development tooling and bring forward-looking recommendations to the Engineering Manager. • Serve as the senior technical point of contact for broker-dealer partners — engaging directly on requirements, integration design, technical issue resolution, and delivery status. • Lead the technical execution of new broker onboarding engagements — translating partner-specific requirements into well-scoped, platform-generic solutions. • Dig into root business problems rather than accepting requirements at face value; advocate for solutions that work across the full broker partner portfolio rather than one-off builds. • Partner with the Engineering Manager and Product Management to ensure broker requirements are well-defined, properly scoped, and sequenced for delivery. • Build credibility with broker partners through technical depth, delivery consistency, and clear communication. • Partner closely with the Platform Integrations and Platform Services teams on new data connections, integration patterns, and shared technical standards. • Coordinate with matrixed QA engineers to ensure test coverage, quality gates, and release readiness are met across broker-specific workflows. • Collaborate with Principal Engineers, the Solution Architect, and peer Lead Engineers on cross-team technical decisions. • Surface delivery risks, technical blockers, and scope concerns to the Engineering Manager early and clearly. • Set the technical bar for the team — establishing coding standards, architectural patterns, and engineering practices the rest of the team follows. • Mentor engineers on full-stack development best practices, broker integration patterns, and professional development. • Contribute to cross-team technical forums alongside Principal Engineers, the Solution Architect, and Engineering Managers.