Sr. Product Architecture Engineer

Role & responsibilities

• Deep expertise in microservices architecture, designing RESTful/event-driven services, defining boundaries, optimizing communication, with experience in refactoring/greenfield and cloud patterns (Saga, Circuit Breaker).
• Lead platform improvements, overseeing technical enhancements for AI-driven features like our AI Mapping Tool for smarter capabilities.
• Architect comprehensive observability, deploying metrics, tracing, logging tools (OpenTelemetry, Prometheus, Grafana, Loki, Tempo) for real-time monitoring and high uptime.
• Define container sizing and lead Kubernetes performance benchmarking, analyzing bottlenecks to guide resource tuning and scaling for platform growth.
• Provide deployment/infrastructure expertise, guiding Helm for Kubernetes and collaborating on infrastructure needs (Terraform a plus).
• Lead tooling/automation enhancements, streamlining deployment via Helm improvements, simpler YAML, and pre-deployment validation to reduce errors.
• Lead evolution to event-driven, distributed workflows, decoupling orchestrators with RabbitMQ and patterns like Saga/pub-sub, integrating Redis for state/caching, improving fault tolerance/scalability.
• Collaborate across teams and stakeholders for architectural alignment, translating requirements into design and partnering for seamless implementation.
• Mentor engineers on coding, design, and architecture best practices, leading reviews and fostering engineering excellence.
• Responsible for documenting architecture decisions (diagrams, ADRs), clearly communicating complex technical concepts for roadmap transparency.

Preferred candidate profile

• Extensive production experience with Kubernetes and Docker, proficient in deploying, scaling, and managing apps on clusters, including cluster management on major cloud platforms.
• Proficient in deployment automation/config management, required Helm charts experience, familiar with CI/CD/GitOps, and Terraform/IaC exposure is a plus.
• Strong experience implementing observability via monitoring/logging frameworks (Prometheus, Grafana, ELK/Loki, tracing), able to instrument applications, and proven in optimizing distributed system performance.
• Hands-on with message brokers (RabbitMQ/Kafka) and distributed data stores like Redis, skilled in asynchronous system design and solution selection.
• Excellent technical communication and leadership, proven ability to lead architectural discussions/build consensus, comfortable driving projects and collaborating with Agile, cross-functional teams.
• Adept at technical documentation/diagrams, with an analytical mindset for evaluating new technologies and foreseeing design impacts on scalability, security, and maintainability.