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Online Rabbitmq Jobs (NOW HIRING)

Full Stack Software Developer

Frisco, TX · On-site

$93K - $153K/yr

At McAfee, we're driven to make life online safe and enjoyable through innovative, trusted ... Middleware technologies like Kafka, Redis, RabbitMQ. * LLM integration and prompt engineering ...

Preferred qualifications: · Familiarity with event-driven programming (RabbitMQ or similar). · ... Selection Process 1. Technical interview by Quintrix and online assessment. 2. Client Interviews (2 ...

Java Developer w/ Linux

Addison, TX · On-site

$65 - $70/hr

Experience with Apache Kafka for online data publishing and consuming. * Experience with Junit Test ... Work with messaging systems such as Kafka, ActiveMQ, or RabbitMQ. * Support containerized ...

Senior Software Engineer I

Seattle, WA · On-site

$139K - $183K/yr

Solid experience with RESTful/GraphQL APIs, message brokers (e.g., Kafka, RabbitMQ), asynchronous ... Compass is a real estate technology company that provides an online platform for buying, renting ...

Experience with message brokers or streaming tools (e.g., Kafka, RabbitMQ, MQTT) for real-time data. * Exposure to cloud platforms (AWS, GCP, or Azure). Why join us * Demand for online food delivery ...

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Online Rabbitmq information

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$17.5K

$40.6K

$86K

How much do online rabbitmq jobs pay per year?

As of Jun 21, 2026, the average yearly pay for online rabbitmq in the United States is $40,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,000.00 and $43,500.00 per year, depending on experience, location, and employer.

What is the difference between Online Rabbitmq vs Online Kafka?

AspectOnline RabbitmqOnline Kafka
Primary UseMessage broker for reliable messagingDistributed streaming platform for real-time data
Credentials/CertificationsBasic knowledge of messaging protocols, certifications optionalKnowledge of distributed systems, certifications beneficial
Work EnvironmentServer-side messaging infrastructure, cloud or on-premisesHigh-throughput data streaming, cloud-based or on-premises
Industry UsageMessaging in microservices, IoT, enterprise appsBig data, analytics, real-time data pipelines

Online Rabbitmq and Online Kafka are both messaging technologies but serve different purposes. Rabbitmq is ideal for reliable message queuing, while Kafka excels in high-throughput data streaming. Your choice depends on your project needs for reliability versus real-time data processing.

More about Online Rabbitmq jobs
What cities are hiring for Online Rabbitmq jobs? Cities with the most Online Rabbitmq job openings:
What are the most commonly searched types of Rabbitmq jobs? The most popular types of Rabbitmq jobs are:
What states have the most Online Rabbitmq jobs? States with the most job openings for Online Rabbitmq jobs include:
Infographic showing various Online Rabbitmq job openings in the United States as of June 2026, with employment types broken down into 56% Locum Tenens, 3% Internship, 12% As Needed, 8% Full Time, 15% Temporary, and 6% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $40,596 per year, or $19.5 per hour.
Staff Backend Engineer, Integrations Platform - Mountain View, CA

Staff Backend Engineer, Integrations Platform - Mountain View, CA

Otter

Mountain View, CA • On-site

Full-time

Posted 16 days ago


Job description

Job Summary:
Otter is a company dedicated to helping restaurateurs succeed in online food delivery through innovative technology solutions. As a Staff Backend Engineer on Integrations, you will design and architect systems that simplify complex external integrations and ensure real-time data consistency across multiple platforms.
Responsibilities:
• Architect Universal Abstractions: Design and implement unified data models (APIs) that abstract away the complexity of hundreds of disparate external systems (e.g., mapping complex, nested external data structures into a clean, flat internal schema).
• Build Scheduling & Initiative-Based Systems: Design sophisticated distributed schedulers and workflow engines that proactively drive data synchronization. You will move beyond simple reactive webhooks to build intelligent polling systems that optimize for data freshness while respecting strict external rate limits.
• Master High-Concurrency Environments: Write high-performance code that safely manages shared resources under heavy load. You will solve complex race conditions and ensure thread safety when thousands of concurrent events attempt to update the same merchant entities simultaneously.
• Scale the 'Adapter' Ecosystem: Create developer frameworks and tooling that allow us to rapidly build and maintain integrations with new external partners with minimal friction.
• Drive Technical Strategy: Lead technical decision-making on how we handle bi-directional data syncing ensuring data consistency across distributed systems.
• The 'N+1' Problem: How do we build a system that supports 100+ different integrations without maintaining 100+ separate codebases?
• Real-time Consistency: How do we ensure a user never receives an order for an item they just marked 'out of stock' when the external API has a cache delay?
• Throttling & Fairness: How do we design a scheduling system that fairly allocates resources across thousands of merchants so that one noisy tenant doesn't degrade performance for everyone else?
Qualifications:
Required:
• 3+ years of experience developing complex backend systems in Java or Go (Golang).
• Deep understanding of concurrency patterns (e.g., goroutines, thread pools, actors).
• Deep familiarity with building integrations against third-party APIs.
• Proficiency with relational (PostgreSQL) and NoSQL (MongoDB, DynamoDB) data modeling.
• Strong grasp of distributed systems patterns, including event sourcing, message queues (Kafka, RabbitMQ, SQS), and microservices communication.
• You treat observability as a first-class citizen in your code design.
Preferred:
• Experience building 'Plugin Architectures' or SDKs that allow other developers to extend a core platform easily.
• Experience processing millions of events per day in a high-concurrency environment.
• Deep expertise with Kubernetes, Docker, and in a production environment.
Company:
All-in-one Restaurant Operating System. Founded in 2020, the company is headquartered in Los Angeles, US, , with a team of 501-1000 employees. The company is currently Late Stage.