Hire Apache Kafka developers

Accelerate real-time data processing. Quickly onboard Apache Kafka experts to build scalable streaming platforms and reduce data latency—start within days.

Ari
Back-end Web Developer
Canada/(GMT -5:00)
Ari is a Go platform engineer who designs Kubernetes control planes and event-driven backends. Recently he led a PaaS from the architecture down to controllers, build and release flows, and a resumable workflow engine; earlier he built cybersecurity platforms that process billions of security events with Kafka and OpenSearch.
Experience
15 years
Availability
Full-time
Apache KafkaKubernetesGolangKafkaElasticSearchBare metal provisioningReactMicrosoft AzureRedisAWSClickHousePostgreSQLPrometheusMySQLGitHub Actions
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Brian
Machine Learning Engineer
Canada/(GMT -5:00)
Brian is an ML engineer who builds large-scale Python data and model platforms, most recently turning hundreds of millions of device signals into a cookieless household graph that lifted campaign ROI by 20 to 30%. He also built a cross-orchestrator MLOps layer for Kubeflow, Vertex AI, and Cloud Composer, and later shipped real-time audio classification and generative media pipelines on AWS.
Experience
8 years
Availability
Full-time
Apache KafkaMachine learningData ScienceBig DataMLOpsPyTorchPythonAIData analysisData WarehouseGCPAWSKubernetesAPIPySparkCI/CDDeep LearningApache SparkPandasScikit-learnNLPETLSciPyBigQueryNumPySQLLLMOpenAITensorflowLangChainPydanticVector Databases
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Tarik
AI Engineer
Turkey/(GMT +3:00)
Tarik is a Python ML engineer who builds LLM products end to end, from RAG search and enterprise assistants to FastAPI APIs. He designed a newsroom retrieval system over 100k+ documents with editorial guardrails, and earlier built a multi-tenant recommender for 700 tenants and 700K+ users serving 100K+ recommendations a day.
Experience
12 years
Availability
Part-time
Apache KafkaAWSPythonDockerLLMFastAPINLPPandasScikit-learnAI agent developmentBigQueryElasticSearchAIPostgreSQLUbuntuAPIDeep LearningRedisOpenAI APIFirebaseMicrosoft AzureApache AirflowSnowflakeGCPMLOpsLangChainPyTorchNeural NetworksTensorflowOAuthKafkaAirflowFlask
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Oleh
Full-stack Web Developer
Poland/(GMT +1:00)
Oleh is a .NET backend-leaning full-stack engineer who builds cloud microservices in C#, Angular, and Azure. Recently he built IoT data pipelines and APIs for a farm management platform, and later added real-time market alerts, threaded comments, and video transcription to a fintech media product.
Experience
10 years
Availability
Part-time & Full-time
Apache KafkaAngular.NET.NET CoreC#Node.jsNoSQLReactMongoDBDockerJavaScriptAWSMicrosoft AzureSQLCI/CDKubernetesTypescriptTerraformAzure DevOpsEntity
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Cristian
Data Engineer
Ireland/(GMT)
Cristian is a Python data and AI engineer who builds regulated healthcare systems on AWS, Azure, Spark, and Databricks. He recently built a clinical question-answering platform with LangGraph agents, hybrid RAG, GraphRAG, and safety checks for use across 2,500 U.S. hospitals, and earlier designed a streaming pipeline for medical-device trial data with traceable quality flags.
Experience
12 years
Availability
Full-time
Apache KafkaPythonPySparkDatabricksSQLAzure DevOpsLangGraphPostgreSQLMCPNeo4jBedrockAWS SageMakerLLMRAGPyTorchAWSOpenAIApache SparkAzure Service BusJavaNumPyDockerPandasMachine learningScikit-learnXGBoostData ScienceAI agent orchestrationAI agent developmentWorkflow AutomationFine-tuningLLaMASciPyPydanticAmazon S3Amazon EC2RedshiftAmazon ECSNLPAILLM evaluationLLM orchestrationAI deployment
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Michał
Back-end Web Developer
Poland/(GMT +1:00)
Michał is a .NET backend-leaning full-stack engineer who has spent the last few years on high-throughput betting platforms, leading a migration to .NET 8 and later moving into Java Spring services. He also led backend delivery for biometric authentication and a unified account system used across multiple brands.
Experience
10 years
Availability
Full-time
Apache KafkaC#.NET.NET CoreAngularTypescriptReactMicrosoft AzureGitLabDockerASP.NETMicrosoft SQL ServerJavaDevOpsPostgreSQLOracleRedisWPFAWSTerraformDatadogElasticSearchMicroservicesAzure DevOpsKnockout.jsAzure FunctionsGraphQLSplunkgRPCRabbitMQKafka
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Serhiy
Back-end Web Developer
Poland/(GMT +1:00)
Serhiy is a Python and Django backend engineer who has spent 15 years building data-heavy web systems, including an affiliate platform with Kafka and ClickHouse for near real-time click and sales processing. He also designed a reporting DSL, billing, and an NLP-based product suggestion system.
Experience
15 years
Availability
Part-time
Apache KafkaPythonDjangoReactElasticSearchRedisScalaGolangPHPMySQLLinuxJavaScriptApachePostgreSQLRabbitMQCI/CDKafkaAngularAnsibleWeb scrapingScrapyOpenAIVector Databases
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Chinmaya
Site Reliability Engineer
Canada/(GMT -5:00)
Chinmaya is an SRE and platform engineer focused on Kubernetes, OpenShift, Azure, and Python, with 15 years in infrastructure. He has built multi-cloud container platforms for finance, aviation, telecom, and retail, from GitOps onboarding and Istio service mesh to observability stacks and AI agents that review Helm charts and help troubleshoot platform issues.
Experience
15 years
Availability
Full-time
Apache KafkaKubernetesAnsibleLinuxPythonMicrosoft AzureJenkinsDockerKnativePrometheusGrafanaGolangAI agent developmentKafkaElasticSearchRedisTerraformUnixBashGCPGitLab CI/CDGPUBare metal provisioning
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Nialish
Data Engineer
Germany/(GMT)
Nialish is a data engineer working in Python, Spark, Databricks, and Snowflake who leads data-heavy AI and ML systems. He built a recruitment matching platform that cut runtime from 14 hours to 6 seconds, and a support knowledge system that unified scattered case data into vector search and LLM workflows, reducing resolution time from weeks to minutes.
Experience
10 years
Availability
Full-time
Apache KafkaMicrosoft AzurePythonSQLAWSDockerCI/CDApache AirflowAILLMKubernetesLangChainPySparkDatabricksMachine learningAzure DevOpsData ModelingSnowflakeRedisDeep LearningBig DataMongoDBAzure SQLApache SparkDBTTerraformOpenAIAirflow
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Reached out on Monday evening, connected Tuesday morning, had four qualified candidates by Wednesday.

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The developers helped us speed up. They quickly learned their part of the app and we’re grateful for their contribution.

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We vet every developer

Every Apache Kafka developer passes a live interview with a senior engineer. We accept 1.2% of applicants.

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The lemon tea

Kafka developers who design for replay

Kafka connects services and feeds analytics in real time, until consumers lag or messages go missing. Our Kafka developers design topics, partitions and retries that hold up.

Delivery semantics

Candidates explain at-least-once versus exactly-once in their own words, and how idempotent consumers make replays safe.

Streaming profiles

Find Kafka next to Spark, MLOps or CloudFormation in Lemon's open database, then tell us whom you'd like to meet.

Incidents in your hours

Matching considers time zones, so your Kafka engineer is around when consumer lag spikes.

What you should know about modern Apache Kafka devs

by Vlada Zamerets

Recruiter at Lemon.io

Verified Expert

Hiring Guide: Apache Kafka Developers

Why Hire Apache Kafka Developers

Hiring experienced Apache Kafka Developers is crucial for organizations managing real-time data streaming, analytics, and event-driven architectures. Apache Kafka, an open-source distributed event streaming platform, enables companies to handle high-volume data pipelines with fault tolerance and scalability. Skilled Kafka developers design and maintain streaming systems that collect, process, and analyze data in motion—empowering businesses to make real-time decisions. Whether you’re developing microservices, IoT applications, or enterprise analytics systems, Kafka experts ensure your infrastructure is optimized for speed, reliability, and resilience.

What Apache Kafka Developers Do

Kafka developers architect and implement event-driven systems where data is continuously produced, consumed, and processed in real-time. They integrate Kafka with databases, APIs, and applications across an organization’s infrastructure. Their work involves creating topics, producers, and consumers; managing brokers and clusters; and ensuring secure and reliable message delivery. These developers also handle streaming analytics using Kafka Streams or ksqlDB, and they collaborate with data engineers and DevOps teams to deploy scalable solutions in hybrid or cloud environments.

Core Responsibilities of an Apache Kafka Developer

Design, build, and maintain real-time data pipelines using Apache Kafka.
Develop producers, consumers, and connectors to integrate with data sources and applications.
Implement Kafka Streams and ksqlDB for data processing and transformation.
Ensure high availability, scalability, and fault tolerance in Kafka clusters.
Monitor Kafka brokers, topics, and partitions to maintain optimal performance.
Secure communication channels using SSL/TLS, authentication, and ACLs.
Collaborate with DevOps to automate Kafka deployment and configuration using tools like Ansible or Terraform.
Integrate Kafka with other distributed systems such as Spark, Flink, or Hadoop.

Essential Technical Skills

Languages: Java, Scala, Python, Go, Node.js.
Frameworks: Apache Kafka, Kafka Streams, ksqlDB, Apache Flink, Spark Streaming.
Tools: Kafka Connect, Zookeeper, Confluent Platform, Debezium, Prometheus, Grafana.
Databases: PostgreSQL, MongoDB, Cassandra, Redis, ElasticSearch.
Cloud Platforms: AWS MSK, Azure Event Hubs, GCP Pub/Sub, Kubernetes.
Soft Skills: Problem-solving, system design, data modeling, cross-team collaboration, and attention to detail.

When to Hire Apache Kafka Developers

Your organization relies on real-time analytics or event-driven microservices.
You need to process large-scale data streams from multiple sources.
You’re implementing or scaling a distributed system that demands high availability and resilience.
Your current architecture struggles with latency, throughput, or fault tolerance.
You’re integrating data from IoT devices, financial transactions, or user activity logs.

Best Practices for Hiring Apache Kafka Developers

Assess distributed systems experience: Kafka developers should understand message queuing, replication, and partitioning strategies.
Evaluate programming proficiency: Test fluency in Java or Python, as these are commonly used for Kafka client implementations.
Check streaming pipeline experience: Look for candidates who’ve implemented Kafka Streams or integrated Kafka with Spark/Flink.
Verify DevOps knowledge: Kafka experts should be comfortable deploying and managing Kafka on Kubernetes or cloud environments.
Review scalability and monitoring expertise: Ensure they know how to tune Kafka performance and manage cluster monitoring tools.

Sample Interview Questions for Apache Kafka Developers

“Explain the difference between a Kafka producer, consumer, and broker.”
“How do you ensure message durability and fault tolerance in Kafka?”
“What’s the role of Zookeeper in Kafka architecture?”
“How do you handle schema evolution using Kafka Schema Registry?”
“What’s your approach to monitoring Kafka performance metrics?”
“Describe a real-world use case where Kafka improved system efficiency.”

Apache Kafka in Modern Data Architecture

Apache Kafka has become the backbone of modern event-driven architecture. Its scalability, persistence, and high throughput make it an industry standard for handling streaming data across systems. Kafka developers help enterprises unify disparate data systems by connecting applications, analytics engines, and machine learning pipelines in real-time. Combined with microservices and cloud infrastructure, Kafka serves as the core communication layer for data-driven businesses seeking agility and performance.

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Empower your business with real-time data infrastructure.
Hire pre-vetted Apache Kafka Developers from Lemon.io to build reliable streaming pipelines and scalable data ecosystems for your applications.

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FAQ

What does an Apache Kafka developer do?: An Apache Kafka developer designs, implements, and manages event-driven systems using Kafka to process and transfer data between applications in real time.
Is Kafka used for real-time processing?: Yes. Kafka is ideal for real-time data streaming and event-driven applications, enabling instant insights and fast system communication.
What industries use Apache Kafka?: Kafka is widely used in finance, e-commerce, telecommunications, IoT, and data analytics to manage streaming data and system integrations.
Is Kafka suitable for small-scale projects?: Yes. Kafka can be scaled up or down, making it suitable for startups and enterprises alike, depending on data processing requirements.

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Why hire Kafka developers

A Kafka developer makes event streaming reliable, so services and analytics see the same truth.

Event-driven services

Services that publish and react to events instead of calling each other.

Consumer lag fixes

Partitions, batching and scaling tuned until consumers keep up.

Schema evolution

Schema Registry rules so producers can change without breaking consumers.

Kafka Connect pipelines

Change data capture from databases into Kafka and back out.

Case studies

Aerospace

The experience with Lemon.io has been fantastic. The interview process has been good, the caliber of people – excellent and integration has been very smooth.

Marc HorowitzCOO of SkyFi

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Telecommunications

We needed extra developers to clean off all these bugs so the company could skyrocket.

Conor MackenDirector of Engineering

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We needed extra AI engineers to keep our ambitious project running.

Mike LukimanFounding Senior Software Engineer at Everstar.ai

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Frequently asked questions

You can find experienced Apache Kafka developers on specialized job boards like Stack Overflow Jobs, GitHub Jobs, and LinkedIn, or by posting on general job platforms like Indeed and Glassdoor. Additionally, tech communities and freelance platforms like Upwork can be excellent resources. However, the process of finding the right developer may be time-consuming, as it often involves reviewing resumes, assessing relevant experience, and conducting interviews. For a faster and more streamlined hiring process, consider using a service like Lemon.io, where the vetting is done for you, and you’ll be matched with a qualified Apache Kafka developer within 48 hours.

At Lemon.io, our mission is for you to feel 100% confident when selecting an Apache Kafka developer. To support this, we offer a paid trial period of up to 20 hours, allowing you to work directly with the developer to evaluate their experience with Kafka, communication skills, and overall performance on real project tasks.

If, at any point, you are not completely satisfied and feel that expectations aren’t being met, we provide a 100% no-risk replacement guarantee. This ensures you can find the perfect candidate without any concerns. While our replacement rate is quite low due to our thorough vetting process, we are committed to ensuring the right match for your needs.

Yes, there is a growing demand for Apache Kafka developers. Kafka is widely used in industries that require real-time data processing and streaming, such as finance, telecommunications, and e-commerce. Companies dealing with large volumes of data, needing to process and analyze it in real-time, rely on Kafka’s robust capabilities for distributed messaging and data integration.

As businesses increasingly focus on real-time analytics and event-driven architectures, the demand for developers skilled in Apache Kafka is on the rise. These professionals, with expertise in distributed systems and data streaming, are highly sought after to help build scalable, resilient systems that can handle massive amounts of data efficiently.

Lemon.io understands the need for expertise in handling data streams and messaging systems. We’ll connect you to top Apache Kafka developers specializing in building scalable data pipelines within a rapid timeframe, usually within 48 hours. You then control the hiring process, and the start of cooperation can be discussed.

However, most of our clients complete the entire process and welcome their new Apache Kafka developer to the project team immediately.

Our global reach spans over 50 countries, with developers in every major timezone, ensuring the Lemon.io team can identify an ideal Apache Kafka specialist no matter where your organization operates.

With administrative overhead completely handled on our end, the developers we introduce can focus on creating the best solutions possible without getting bogged down by unnecessary emails.

Before onboarding an Apache Kafka specialist (or any other specialized role), we take them through our rigorous multi-step vetting process, including a screening call with recruiters and a technical interview led by an expert in distributed systems and data streaming.

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