We are seeking a System Design Architect to lead the architecture, design, and evolution of modern, scalable, and resilient workflow platforms for our clients. As a trusted technology partner for several enterprise clients, we help organizations design distributed systems that are fault-tolerant, event-driven, and cloud-native. You’ll play a key role in driving these architectural engagements — defining patterns, mentoring teams, and ensuring solutions are robust and maintainable at scale. While direct experience with specific workflow orchestration technologies is a strong advantage, we value system design expertise, distributed systems fundamentals, and rapid learning ability above all. Key Responsibilities • Lead end-to-end system design and architecture for workflow and automation platforms across client engagements. • Design and implement distributed, event-driven systems with high scalability, availability, and fault tolerance. • Define architecture blueprints, reference implementations, and best practices for workflow orchestration and stateful service design. • Collaborate with client engineering teams to evaluate, onboard, and scale workflow solutions. • Guide decisions around data consistency, reliability patterns (sagas, retries, compensation), and observability. • Conduct architecture reviews and provide technical governance across multiple concurrent projects. • Partner with internal solution teams to establish accelerators, templates, and frameworks for rapid client adoption. • Mentor engineers and provide architectural leadership within the organization. Qualifications • 5+ years of experience in software architecture, backend design, or distributed systems. • Proven experience designing microservice-based or event-driven architectures. • Deep understanding of scalability, reliability, consistency models, and system resiliency. • Proficiency in one or more languages such as Go, Java, Python, or TypeScript. • Strong understanding of messaging, streaming, and asynchronous communication (e.g., Kafka, RabbitMQ, Pub/Sub). • Experience with cloud-native infrastructure (Kubernetes, Docker, CI/CD, Observability). • Solid background in API design, workflow modeling, or automation systems. Nice to Have (Highly Advantageous) • Experience with workflow orchestration platforms or stateful orchestration frameworks (e.g., Temporal, Cadence, Airflow, Step Functions). • Understanding of orchestration vs. choreography, activity/task design, and failure handling patterns. • Experience running or optimizing workflow or event-processing clusters in production environments. • Familiarity with Kubernetes operators, service meshes, and observability stacks (Grafana, Prometheus, OpenTelemetry).