Description

The Camunda Consultant will develop, and deliver large-scale workflow and process automation solutions using Camunda (Camunda 7/8).

Key Responsibilities

Lead end-to-end design and implementation of complex BPMN workflows, DMN decision models, and orchestration patterns.
Architect and build workflow automation solutions using Java/Spring Boot or microservice-based integrations.
Define integration patterns with APIs, databases, messaging systems (Kafka/RabbitMQ), and external applications.
Drive best practices for error handling, retries, performance tuning, and long-running process design.
Provide technical leadership, code reviews, and mentoring for junior and mid-level consultants.
Work closely with business stakeholders to translate requirements into scalable workflow solutions.
Support Camunda deployments in cloud-native environments (Docker, Kubernetes, Helm) or Camunda 8 SaaS.
Contribute to solution architecture, high-level and low-level design documentation.
Oversee UAT, production rollout, troubleshooting, and performance optimization.
Ensure adherence to security, compliance, and architectural governance standards.
Conduct client workshops, demos, and technical discussions.

Required Skills & Qualifications

5-9 years of IT experience with 2+ years of deep hands-on expertise in Camunda 7 or Camunda 8.
Strong command of BPMN 2.0, DMN, FEEL, workflow orchestration, and automation best practices.
Excellent proficiency in Java, Spring Boot, microservices, and REST API development.
Experience architecting and integrating distributed systems, event-driven workflows, and messaging platforms.
Hands-on experience with containers (Docker), Kubernetes, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).
Strong understanding of Camunda external task patterns, job workers, connectors, and asynchronous patterns.
Experience in troubleshooting performance issues, optimizing workflow execution, and scaling orchestration.

Preferred Skills

Experience with Camunda 8 Self-managed or SaaS clusters in production.
Knowledge of monitoring/observability tools (Prometheus, Grafana, Elastic, Datadog, New Relic).
Architectural frameworks (TOGAF, microservices patterns).
Experience working in DevOps-driven or event-driven architecture environments

(ref:hirist.tech)

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