SAP Commerce & Durable Orchestration

Job Post: Sr. Software Engr. -AI, SAP Commerce & Durable Orchestration- Remote

12 years minimum overall experience on these.  They are SENIOR positions.

Location: U.S. Remote (Remote anywhere in the US in the EST or CST time zones ONLY)

Primary stack: SAP Commerce Cloud, Java, Spring, React.js

Orchestration: Temporal or comparable durable workflow technology

Role Overview:

• We are seeking a Senior Software Engineer to modernize a large SAP Commerce Cloud platform through AI-assisted engineering, context engineering, and durable workflow orchestration.
• A central responsibility of this role is designing business processes that remain reliable across service failures, deployments, retries, and long execution periods.
• The engineer should understand Temporal-style programming models and be able to apply the same principles using Temporal, Cadence, Azure Durable Functions, Conductor, or a comparable platform.
• This is a hands-on engineering role-not an AI strategy or prompt-engineering position.

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.

Thanks & Regards

Vaibhav Srivastav

Senior Talent  Acquisition Specialist

Mob- (551) (322) (0987)

Email- 

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