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.
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Lead end-to-end system design and architecture for workflow and automation platforms across client engagements.
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Design and implement distributed, event-driven systems with high scalability, availability, and fault tolerance.
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Define architecture blueprints, reference implementations, and best practices for workflow orchestration and stateful service design.
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Collaborate with client engineering teams to evaluate, onboard, and scale workflow solutions.
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Guide decisions around data consistency, reliability patterns (sagas, retries, compensation), and observability.
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Conduct architecture reviews and provide technical governance across multiple concurrent projects.
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Partner with internal solution teams to establish accelerators, templates, and frameworks for rapid client adoption.
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Mentor engineers and provide architectural leadership within the organization.
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8+ years of experience in software architecture, backend design, or distributed systems.
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Proven experience designing microservice-based or event-driven architectures.
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Deep understanding of scalability, reliability, consistency models, and system resiliency.
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Proficiency in one or more languages such as Go, Java, Python, or TypeScript.
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Strong understanding of messaging, streaming, and asynchronous communication (e.g., Kafka, RabbitMQ, Pub/Sub).
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Experience with cloud-native infrastructure (Kubernetes, Docker, CI/CD, Observability).
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Solid background in API design, workflow modeling, or automation systems.
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Experience with workflow orchestration platforms or stateful orchestration frameworks (e.g., Temporal, Cadence, Airflow, Step Functions).
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Understanding of orchestration vs. choreography, activity/task design, and failure handling patterns.
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Experience running or optimizing workflow or event-processing clusters in production environments.
