SAP Commerce Cloud/Hybris Developer

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.

Responsibilities

• Develop and support SAP Commerce Cloud capabilities using Java and Spring.
• Build Integrations with OCC and REST APIs.
• Design durable workflows for long-running commerce processes such as commerce cart work flows, order orchestration, inventory updates, and recovery operations.
• Separate deterministic orchestration logic from side-effecting activities.
• Design workflows that support:
  • Durable state and event-history replay
  • Automatic retries and configurable backoff
  • Idempotent activity execution
  • Timeouts, timers, and cancellation
  • Compensation and business rollback
  • Signals, events, and external callbacks
  • Human-in-the-loop processing
  • Workflow queries and operational visibility
  • Versioning of workflows already in production
  • Safe recovery after worker or dependency failure
• Establish meaningful workflow identifiers, task queues, concurrency limits, and rate controls.
• Prevent unbounded workflow histories through appropriate continuation and lifecycle strategies.
• Build automated workflow, activity, replay, integration, and failure-path tests.
• Integrate durable workflows with SAP Commerce, Kafka, APIs, databases, and external services.
• Apply AI and context engineering to code discovery, implementation, testing, documentation, incident response, and release analysis.
• Build reusable AI instructions, agent skills, MCP integrations, repository context, and verification guardrails.
• Diagnose SAP Commerce performance issues involving FlexibleSearch, persistence, caching, TaskEngine, Kafka consumers, and database contention.

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.

Preferred Qualifications

• Temporal Java SDK experience.
• Experience operating Temporal workers, task queues, namespaces, schedules, search attributes, signals, queries, and updates.
• Experience testing workflow replay and safely evolving active workflow definitions.
• Knowledge of Protobuf, schema evolution, and backward-compatible contracts.
• SAP Commerce 2211, Java 21, and Spring 6 experience.
• Experience with OpenTelemetry, Dynatrace, Kubernetes, Azure, and centralized logging.
• Experience building AI agents, MCP servers, reusable agent skills, or retrieval-augmented development systems.

What Success Looks Like

• Commerce processes continue reliably through deployments, outages, and transient dependency failures.
• Workflow retries do not create duplicate payments, orders, inventory changes, or external requests.
• Long-running processes are observable, queryable, testable, and recoverable.
• Existing workflows can evolve without replay failures or breaking in-flight executions.
• AI-assisted engineering measurably improves delivery while preserving testing, review, and human accountability.
• SAP Commerce performance, operational toil, and release risk decrease over time.