Principal Software Engineer - Dynamics Customer Experience Applications team

About the role

You will lead through influence, raise engineering standards, and partner across disciplines and organizations to deliver durable customer outcomes. Define and evolve the end-to-end architecture for complex, AI-enabled customer experience capabilities, making sound trade-offs across scale, latency, availability, security, cost, and time to market.

Demonstrate strong end-to-end ownership for critical technical areas, from problem definition and architecture through implementation, deployment, operational health, and long-term improvement. Proactively identify gaps, drive issues to closure, and remain accountable for customer and business outcomes.

Effectively manage multiple priorities and competing demands, balancing strategic engineering investments, customer commitments, live-site issues, and operational responsibilities while maintaining high standards for quality and execution.

Adapt quickly to shifting priorities and business needs, making clear trade-offs, re-planning effectively, and redirecting engineering efforts when customer impact, reliability, security, or business priorities change. Operate with urgency and sound judgment in ambiguous environments, independently identifying what needs to be done, bringing the right partners together, and driving execution without waiting for detailed direction.

Lead implementation of critical platform components, producing high-quality production code, and resolving the most complex design, performance, and debugging challenges across distributed systems. Drive technical strategy across teams and organizations, translating business and customer needs into coherent multi-release investments, interfaces, and engineering plans.

Provide technical leadership for applied AI systems, including model and framework selection, evaluation, grounding, orchestration, responsible AI controls, monitoring, and lifecycle management. Own quality, security, compliance, and operability by design, establishing automation, validation, deployment, observability, incident response, and safe rollout practices for mission-critical services.

Lead resolution of high-severity live-site and customer issues, coordinating across dependencies, driving root-cause analysis, and converting operational learning into systemic prevention. Multiply the effectiveness of the engineering organization by mentoring engineers, reviewing architecture and code, establishing reusable patterns, simplifying systems, and raising standards for engineering excellence.

Architecture and Technical Strategy: Deep experience defining architecture for distributed systems and driving technical decisions across organizational boundaries. Applied AI and AI Operations: Experience shipping generative AI, large language model, or agentic capabilities with rigorous evaluation, safety, monitoring, and lifecycle practices.

Cloud and Infrastructure: Expertise building and operating highly available services on Azure or another major cloud, including containers, data platforms, networking, security, and observability. Engineering Excellence: Demonstrated ability to improve quality, reliability, security, maintainability, and developer productivity across a substantial engineering area.

Leadership and Influence: Proven ability to communicate complex technical topics, build alignment among senior stakeholders, mentor engineers, and lead through influence across teams and time zones. Customer and Business Impact: Experience translating customer scenarios into platform investments and leading response to complex enterprise or live-site issues.

Problem Solving: Exceptional coding, debugging, systems thinking, and decision-making skills in ambiguous, high-impact environments.

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience architecting and delivering large-scale, production cloud services, including technical leadership across multiple teams or complex dependencies. Experience designing, building, and troubleshooting scalable, resilient, event-driven systems, including asynchronous processing, observability, audio streaming, recording, and media-processing workflows.

Effective use of tools such as GitHub Copilot and Claude for implementation, debugging, code reviews, and rapid prototyping, experiments, developing end to end test scenarios Demonstrated experuence and ownership from requirements through production deployment, with expertise in diagnosing complex cross-service failures using logs, telemetry, correlation IDs, and distributed traces, supported by comprehensive unit, integration, functional, and end-to-end testing.

Demonstrated experience and expertise in WebSockets, gRPC, GitHub-based CI/CD workflows, and Azure Service Fabric, including real-time communication, streaming, authentication, connection lifecycle management, microservice deployment, scaling, upgrades, health monitoring, and production troubles