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Replay Operator Jobs in Michigan (NOW HIRING)

Randstad Digital

Sr Software Engineer

Grand Rapids, MI · On-site

$60 - $80/hr

Experience operating Temporal workers, task queues, namespaces, schedules, search attributes, signals, queries, and updates. Experience testing workflow replay and safely evolving active workflow ...

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Replay Operator information

See Michigan salary details

$12

$24

$38

How much do replay operator jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for replay operator in Michigan is $24.19, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $24.52 per hour, depending on experience, location, and employer.

What does a replay operator do?

A Replay Operator is responsible for capturing, preparing, and playing back video replays during live broadcasts, such as sports events or television productions. They use specialized replay systems to review key moments, create slow-motion replays, and assist the production team in storytelling. This role requires quick decision-making, attention to detail, and technical proficiency with broadcast replay equipment. Replay Operators often work in fast-paced environments, ensuring high-quality replays are delivered in real-time.

What are the key skills and qualifications needed to thrive as a replay operator?

To thrive as a Replay Operator, you need a solid understanding of broadcast technology, video editing, and live sports production, often backed by experience in television or digital media environments. Familiarity with replay systems such as EVS, DreamCatcher, or similar broadcast hardware/software platforms is typically required. Strong attention to detail, quick decision-making, and excellent teamwork skills help Replay Operators deliver high-quality replays under pressure. Mastering these abilities is crucial for capturing key moments and ensuring smooth, reliable live broadcasts.

What does a typical shift look like for a replay operator during live sports events?

During live sports events, a Replay Operator works closely with directors, producers, and camera operators to capture, edit, and play back significant moments as they happen. Shifts often involve high-pressure periods of rapid decision-making, especially during crucial plays or reviews, along with downtime before or after the event for setup and review of footage. The role requires strong focus, responsiveness, and collaboration in a fast-paced control room setting. Replay Operators frequently work evenings, weekends, and holidays according to event schedules, making flexibility an asset. With experience, professionals in this field can grow into senior operator or production roles.

What are popular job titles related to Replay Operator jobs in Michigan?

For Replay Operator jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Replay Operator jobs in Michigan look for?

The top searched job categories for Replay Operator jobs in Michigan are:

Replay Operator jobs near you
Infographic showing various Replay Operator job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 18% Part Time, 5% Temporary, 2% Contract, and 2% Nights. Highlights an 100% In-person job distribution, with an average salary of $50,309 per year, or $24.2 per hour.

SAP Commerce Cloud/Hybris Developer

HyrUS Inc.

Grand Rapids, MI • On-site

$55.75 - $72.50/hr

Other

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

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.

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