Remote Apache Kafka developer jobs

We, at Turing, are looking for remote Apache Kafka developers who will be responsible for building real-time streaming data pipelines and low-latency software solutions. Here's your chance to collaborate with top industry veterans and rise quickly through the ranks while working with top U.S companies.

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Job description

Job responsibilities

  • Build real-time streaming data pipelines and applications
  • Build unified, low-latency and high-throughput systems to handle real-time data feeds
  • Execute unit and integration testing for complex modules and projects
  • Analyze existing requirements and implement them into solutions
  • Conduct performance tests, troubleshoot issues and monitor the performance of the application
  • Maintain stability and high availability of applications
  • Deploy monitoring tools and set up redundancy clusters

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience)
  • At least 3 years of experience as an Apache Kafka developer (rare exceptions for highly skilled developers)
  • Proficiency in Apache/Confluent Kafka, Spark/Pyspark, and Big Data technologies
  • Experience working with Kafka brokers, zookeepers, KSQL, KStream, and Kafka Control center
  • Expertise with AvroConverters, JsonConverters, and StringConverters
  • Understanding of programming languages such as Java, C#, and Python
  • Working knowledge of automation tools such as Jenkins
  • Strong command over Hadoop ecosystem
  • Understanding of code versioning tools (Git, Mercurial, SVN)
  • Fluent in English to for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Excellent organizational and problem-solving skills
  • Experience working with RDBMS systems such as Oracle
  • Knowledge of in-memory applications, database design, and data integration
  • Familiarity with cloud technologies like AWS, Azure, and GCP

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How to become an Apache Kafka developer?

Apache Kafka is a popular streaming platform. This open-source distributed event streaming platform was introduced by LinkedIn in 2011. It is written in Scala and Java programming languages. It is used by developers for data integration, streaming analytics, high-performance data pipelines, and mission-critical applications. It is one of the most trusted streaming platforms used by more than 80% of all fortune 100 companies.

With hundreds of meetups around the world, it is the most active project of the Apache Software Foundation. Due to its increasing popularity, companies are actively looking for developers who have expertise in Apache Kafka. Credits to its striking features like high throughput, scalable, permanent storage, and high availability provide an edge over their competitors. It has 3 core features that make it more desirable to the users:

  • Core capabilities like high throughput 2.
  • Built-in stream processing
  • Trusted by companies
  • Ease of use

What is the scope of Apache Kafka development?

An Apache Kafka developer looks after the end-to-end implementation of various data projects. It includes developing, managing, enhancing web applications, analysis, among many others. The developers use Kafka to design a strategic Multi Data Center (MDC) Kafka deployment.

It has more than 5 million unique lifetime downloads. From internet giants to car manufacturers, Kafka is the preferred choice of many organizations. Netflix, LinkedIn, Uber, Spotify and many others use Apache Kafka for processing streaming data in real-time. That’s why it is a preferred hot job area around the world. Apache Kafka has the potential to handle trillions of events occurring in a day. Initially developed for a messaging queue, Kafka is now used by the top companies. Apache Kafka is used by developers to build real-time streaming data pipelines and applications that support data streams.

What are the roles and responsibilities of an Apache Kafka developer?

An Apache Kafka developer must have both strong technical skills, communication skills, and business knowledge. From small to large, they should be able to handle different projects. Here are a few more responsibilities that an Apache Kafka developer is asked to perform on a day-to-day basis.

  • Provide solutions to maintain optimum performance and high availability
  • Search for the best data movement approach using Apache/Confluent Kafka
  • Collaborate with the team and look for new ways to contribute to the maintenance, development, and enhancement of web applications.
  • Should know how to conduct a functional and technical analysis for projects
  • Collaborate with IT partners with and user community with various levels for projects
  • Must have coding knowledge of Apache/Confluent Kafka, Big Data technologies, Spark/Pyspark

How to become an Apache Kafka developer?

Let’s go through the steps you need to take to become an Apache Kafka developer. For starters, it is good to have a degree (but not necessary). Whether you’re a graduate or post-graduate, newbie or experienced, if you can understand and get a grasp of it, you can become an Apache Kafka developer. Understanding technical and non-technical skills is all that’s required.

However, a remote Apache Kafka developer needs to have a bachelor's or master's degree in computer science or an equivalent degree. To begin with, having a degree in computer science will lay a foundation for coding and understanding different technologies. Plus, it will give you an edge over your other applicants.

To understand more, here are the skills that one must have to become an Apache Kafka developer.

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Skills required to become an Apache Kafka developer

To get high paying Apache Kafka developer jobs, the first step is to have knowledge of highly recommended skills for the professionals:

1. Java

It's not a must-have skill. Since the platform is made in Java programming language. So it is better to have an understanding of the language. Apache Kafka developers can make use of their Java knowledge to build a fully functional Java application that is efficient for both- producing and consuming messages from Kafka.

2. Knowledge of Apache Kafka architecture

To understand any platform, you need to have a thorough understanding of its architecture. Although it has a complex name, the structure is quite simple. Apache’s Kafka architecture is easy to understand and delivers and allows you to send application messaging. The simple data structure with high scalable functions make it more likeable. Apache Kafka uses 4 APIs to manage the platform. The Kafka cluster architecture is a combination of Brokers, Consumers, Producers, and ZooKeeper.

3. Kafka APIs

In addition to other recommended skills, an apache Kafka developer must know 4 APIs for Java and Scala. They are producer API, consumer API, streams API, and connector API with many core features. These APIs make Kafka a custom-made solution for processing streaming data.

To implement stream processing applications Kafka streams API. It has high-level functions that are required to process event streams. To build and run reusable data import/export connectors, Kafka connects API. Hence, the basic understanding of it will fetch you a good Apache Kafka job.

4. Strong analytical and interpersonal skills

Analytical abilities are a must-have skill in an Apache Kafka developer job. It shows your potential to figure out a simple solution for any complex problem. To spot patterns in data and evaluate information, one must have strong analytical skills. It also helps developers to change from corrupt data into useful information.

Interested in remote Apache Kafka developer jobs?

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How to get remote Apache Kafka developer jobs?

Apache Kafka developers and athletes have many similarities. They both need regular practice to succeed in their respective fields. They also need to learn new techniques and regular practice to improve with time. An Apache Kafka developer must seek help from experts who have sufficient knowledge in the area. For seeking the good experience of both in any technical field, Turing can be a great choice!

Turing is a platform that lets you get the job of your dreams to advance your career. Our AI-backed intelligent talent cloud helps you get the best job remotely. You can get full-time, long-term opportunities offering lucrative income and a great network of Apache Kafka developers to engage with.

Why become an Apache Kafka developer at Turing?

How much does Turing pay their Apache Kafka developers?

At Turing, every Apache Kafka developer is free to select their own pricing. However, Turing will recommend you a suggested amount that is based on market research and customer desires. Our pricing will help you land the best and long term remote position with competitive pay.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
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● Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
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●  Strong understanding of data structures, algorithms, and software design principles.
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●  Solid understanding of embeddings and how these work with vector databases
●  Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
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●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.


Preffered Skills

● Experience with microservices architecture and distributed systems.
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●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
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●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
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●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
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  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork


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Job Overview We are seeking a highly skilled Senior Full Stack Engineer with a strong focus on backend architecture and expertise in artificial intelligence (AI) to join our dynamic team. The ideal candidate will have 5-7 years of experience in designing, developing, and maintaining robust  full-stack applications, with deep expertise in Python, data structures, and backend database interactions, API design, authentication systems, and AI-driven technologies. You will play a critical role in architecting scalable, secure, and high-performance systems, integrating AI capabilities such as Retrieval-Augmented Generation (RAG), vector databases, large language model (LLM) APIs, and more to power our innovative solutions.  

Key Responsibilities

● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
●  Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
●  Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
●  Design, develop, and maintain secure, efficient, and well-documented RESTful APIs and GraphQL endpoints, integrating AI-driven features such as RAG and LLM APIs.
●  Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, SSO) to ensure system security.
●  Collaborate with frontend developers to integrate backend services and AI-powered features with user interfaces, ensuring seamless end-to-end functionality.
●  Develop and integrate AI solutions, including RAG pipelines, LLM API integrations (e.g., OpenAI, Hugging Face), and vector database queries for enhanced data retrieval and processing.
●  Perform data labeling, classification, and model training for AI-driven applications, ensuring high-quality datasets and model performance.
● Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
●  Write clean, maintainable, and testable code, adhering to best practices and coding standards.
●  Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and monitoring of backend and AI-driven applications, ensuring rapid and reliable delivery.
●  Optimize application and AI model performance, troubleshoot issues, and ensure high availability and reliability.
●  Mentor junior engineers, conduct code reviews, and contribute to architectural decisions, including AI strategy.
●  Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

Qualifications

● Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
●  5-7 years of professional experience in full-stack development, with a strong emphasis on backend systems.
●  Familiarity in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
●  Strong understanding of data structures, algorithms, and software design principles.
●  Extensive experience with database management, including SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Redis), and vector databases (e.g., FAISS, Quadrant, Pinecone, Weaviate).
●  Solid understanding of embeddings and how these work with vector databases
●  Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
●  Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
●  Expertise in  frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with backend teams.
●  Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.

Preffered Skills

● Experience with microservices architecture and distributed systems.
●  Knowledge of CI/CD pipelines and DevOps practices.
●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
●  Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
●  Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.  

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
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11-50 employees
ReactVue.jsAngular+ 5
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