Sr Software Engineer

job summary: Our West Michigan Client is looking for 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.

location: Telecommute job type: Solutions salary: $60 - 80 per hour work hours: 8am to 5pm education: Bachelors

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.

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.

skills: AWS,Kafka,APIs,AI,automated testing,caching,logging,databases,database,Dynatrace,Hybris,Java,Java SDK,JavaScript,orchestration platform,Kubernetes,Versioning,Azure,Protobuf,React.js,REST APIs,SAP,debugging,engineering tools,Integrations,TypeScript,AI coding,business processes,Diagnose,incident response,AI systems,platform development,production systems,Commerce Cloud,schedules,testable,inventory,OpenTelemetry,testing,workflows,documentation

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

,

• 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.

AWS,Kafka,APIs,AI,automated testing,caching,logging,databases,database,Dynatrace,Hybris,Java,Java SDK,JavaScript,orchestration platform,Kubernetes,Versioning,Azure,Protobuf,React.js,REST APIs,SAP,debugging,engineering tools,Integrations,TypeScript,AI coding,business processes,Diagnose,incident response,AI systems,platform development,production systems,Commerce Cloud,schedules,testable,inventory,OpenTelemetry,testing,workflows,documentation