Job description

Primary stack: SAP Commerce Cloud, Java, Spring, React.js Orchestration: Temporal or comparable durable workflow technology Required Qualifications: • Senior-level experience delivering distributed production systems. • Strong SAP Commerce Cloud/Hybris or similar platform development experience. • Advanced Java and Spring development skills. • Experience with React.js and modern JavaScript or TypeScript. • Hands-on experience with at least one durable orchestration platform, such as Temporal, Cadence, Azure Durable Functions, AWS Step Functions, or Conductor. • Strong understanding of: • Workflow determinism and replay • Workflow versus activity responsibilities • At-least-once execution semantics • Idempotency and duplicate prevention • Retry classification and non-retryable failures • Compensation and saga patterns • Durable timers and asynchronous events • Workflow versioning and backward compatibility • Failure recovery and operational visibility • Experience designing event-driven integrations using Kafka or comparable messaging technology. • Demonstrated use of AI coding assistants or agentic engineering tools on substantive software work. • Practical understanding of context engineering: equipping AI systems with appropriate domain knowledge, tools, instructions, examples, and validation. • Strong automated testing, debugging, performance-analysis, and production-support skills.

Requirements

Must-haves

Primary stack: SAP Commerce Cloud, Java, Spring, React.js
Orchestration: Temporal or comparable durable workflow technology
Senior-level experience delivering distributed production systems.
Strong SAP Commerce Cloud/Hybris or similar platform development experience.
Advanced Java and Spring development skills.
Experience with React.js and modern JavaScript or TypeScript.
Hands-on experience with at least one durable orchestration platform, such as Temporal, Cadence, Azure Durable Functions, AWS Step Functions, or Conductor.
Workflow determinism and replay
Workflow versus activity responsibilities
At-least-once execution semantics
Idempotency and duplicate prevention
Retry classification and non-retryable failures
Compensation and saga patterns
Durable timers and asynchronous events
Workflow versioning and backward compatibility
Failure recovery and operational visibility
Experience designing event-driven integrations using Kafka or comparable messaging technology.
Demonstrated use of AI coding assistants or agentic engineering tools on substantive software work.
Practical understanding of context engineering: equipping AI systems with appropriate domain knowledge, tools, instructions, examples, and validation.
Strong automated testing, debugging, performance-analysis, and production-support skills.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javareactjavascripttypescriptazureawsai

Platform: jobdiva
Effort: medium