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
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.
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).
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