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.

• 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.

• 8+ 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.

• 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.