Remote Kafka/Python developer jobs

We, at Turing, are looking for highly-skilled remote Kafka/Python developers who will code, design, deploy and encourage continuous innovation while managing project priorities like low latency, high throughput, and excellent fault tolerance on every development project. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Architect, develop, and enhance data engineering pipelines to process data efficiently for training and testing models
  • Work closely with the data analytics team to improve data platform abilities like data visualization UI, complex workflows, etc.
  • Contribute to delivering data and analytics services to assist Machine Learning
  • Collaborate with the ML team to produce efficient models
  • Participate in web application development, enhancement, and maintenance
  • Assist in developing software components, systems, and features
  • Create, test, and improve APIs and SDKs
  • Design and recommend best practices for data movement to/from different sources using Kafka

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of experience in full-stack Python development and Kafka integration (rare exceptions for highly skilled developers)
  • Strong data engineering experience with open source Big Data technologies including Kafka, Spark, Flink
  • Advanced knowledge and expertise in Python coding
  • Good understanding of database systems and the trade-offs between different styles of database
  • Effective technical design skills for data-centric solutions
  • Proficient with containerized application development and container orchestration systems, like Kubernetes
  • Working experience with web services and cloud deployments using JSON, REST, AWS, etc.
  • Expertise in developing highly scalable microservices
  • Ample knowledge of cloud architectures and large-scale hosted applications
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience with PKI
  • Knowledge of Java and Scala is a plus
  • Experience working with strong test automation and continuous deployment
  • Strong technical troubleshooting and analytical skills
  • Strong consultative and communication skills

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How to become a remote Kafka/Python developer ?

Used for developing real-time data pipelines and streaming applications, Apache Kafka is one of the most popular databases in use today. The technology is used by developers and companies around the world mostly for mission-critical deployments. The database has been built using languages like Scala and Java with the aim of building a unified, high-throughput, low-latency platform for handling real-time data feeds. Over the years, Kafka has a database technology that has significantly grown in popularity and became a preferred choice. Today, the ability to build solutions on Kafka is just not a high value skill but can also help to open new professional opportunities for developers.

Like Kafka, Python is also a defining technology in the current software development industry. It is a high-level general-purpose language built with a design philosophy emphasizing on code readability. Python as a language can support projects of almost every niche and help build websites and software, automate tasks, and conduct data analysis. The language is also highly efficient for developing data-driven applications. The language is easy to master as it use simple syntaxes emphasizing on readability and has been proven to help reduce cost of program maintenance. The language also offers support for modules and packages which also helps developers to reuse code. Based on such benefits, Python as a language has become one of the most popular languages in the current industry.

Expertise in Kafka and Python development, can enable developers to build a successful career in the software industry. This guide should help you out to understand the scope, requirements, and responsibilities of working as a Kafka/Python developer.

What is the scope of a Kafka/Python developer?

When discussing high-value skills for the modern software development industry, Apache Kafka and Python are often mentioned. Both technologies are in use for more than a decade and quickly became a preferred choice for specific processes. As a matter of fact, both technologies offer support for modern data-driven operations. Kafka is often chosen as it provides features like stream processing, website activity tracking, metrics collection and monitoring, real time analytics, and more. Where Python and its simplistic syntaxes seem to fit perfectly for building scalable applications for large user-bases.

Knowledge of such technologies do not only help to define a developer’s skillset but open up new professional opportunities. Companies actively try to hire Kafka/Python developers with proven professional experience in the industry. So for developers looking to take their careers to the next level as a Kafka/Python developer, the path can be exciting and full of opportunity.

What are the responsibilities and roles of a Kafka/Python developer?

If you aim to work and define your career as a Kafka/Python developer, having thorough understanding of the daily responsibilities is essential. When hired for such a role, you can expect to contribute to several areas of software development processes. You would be expected to undertake tasks like developing and enhancing data engineering pipelines to improve efficiency. As a Kafka/Python developer you’ll also need to work closely with different teams including analytics to build business solutions. You are also expected to work closely with Machine Learning professionals to build data-oriented solutions. For more information about the daily responsibilities of Kafka/Python developers, check out the list below.

  • Architect, develop, and enhance data engineering pipelines to process data efficiently for training and testing models
  • Work closely with the data analytics team to improve data platform abilities like data visualization UI, complex workflows, etc.
  • Contribute to delivering data and analytics services to assist Machine Learning
  • Collaborate with the ML team to produce efficient models
  • Participate in web application development, enhancement, and maintenance
  • Assist in developing software components, systems, and features
  • Create, test, and improve APIs and SDKs
  • Design and recommend best practices for data movement to/from different sources using Kafka

How to become a Kafka/Python developer?

Professionals looking to work and build a career as Kafka/Python developers, need to possess expertise in certain disciplines. Having a degree in computer science or related fields should also help you to get hired. Even though technical degrees are not a mandatory requirement for the role, companies prefer hiring professionals with a deep grasp over programming principles. In addition to academic qualification, you also need to possess a certain set of expertise to contribute as per requirement. As a developer, you should try to keep scaling to meet changing demands. When hiring for Kafka/Python developer roles, companies look for programmers with deep understanding of Big Data technologies, technical design skills, coding proficiency, software testing skills, and more.

To get a deeper understanding of the essential skills required to become a Kafka/Python developer, you can go through the following section. Check out defining skills that can help you to stand out as a Kafka/Python developer.

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Skills required to become a Kafka/Python developer

In order to build a successful career as a Kafka/Python developer, developers need to possess expertise in working with technologies. To work as a Kafka/Python developer you'll need to develop capabilities of working with

1. Kafka & Python

The two primary requirements to become and get hired as a Kafka/Python developer is a strong grasp of both technologies. Most companies only consider developers with a thorough experience of working with the technologies and showcasing leadership skills. As a developer, you can consider continuously upscaling your knowledge about the technologies and stay updated with the latest developments in the field. Try to gain a strong understanding of Kafka and Python development best practices to improve your chances of getting hired.

2. Containerized Programming

Another essential skill required to find success as a Kafka/Python developer is familiarity with containerized programming. In this approach of development, multiple software and services are packaged together as code. It includes all necessary components like libraries, frameworks, and other dependencies and is isolated in their own containers. The use of containerized technologies has significantly increased over the years turning it into a high-value skill in the present industry. For this, companies always look for programmers well-versed in technologies like Docker and Kubernetes to lead projects. So, for developers looking to get hired at top organizations as a Kafka/Python developer, developing an understanding of such technologies will help to attain your goals.

3. Unit testing

In the software industry, expertise in skills like unit testing can help developers to secure better opportunities. It is a software testing approach in which individual units of code are run through diagnostics to judge their performance. This helps developers to identify errors and bottlenecks using one or multiple modules together along with related data and processes. Expertise in performing unit tests not only allows teams to produce and ship quality products but also builds up solutions at a rapid pace. So to find success as a Kafka/Python developer, the ability to perform unit tests and related best practices will help to secure top positions.

4. AWS

Today almost every software and web development process utilizes cloud services in some capacity. A modern alternative to legacy hosting and data storage solutions, the ability to configure, scale, and maintain cloud services is essential. Developers do not only need to possess familiarity with such technologies but rather deep understanding would be more helpful. Currently, there are several options available but AWS and Google Cloud are two of the most popular options. Cloud services do not only allow organizations to part with expensive in-house hosting expenses but also devise more cost-effective development strategies.

5. Interpersonal skills

Working in the modern software development industry requires a lot more than technical proficiency. Developers today need to undertake various responsibilities outside their core competencies. They often also need to collaborate with different cross-functional teams and interact with clients to produce high-quality software. For which, interpersonal skills play a huge part in today’s agile work culture. Developers need to actively interact and share their opinion from time to time to keep the chain of information flowing. So to find success working as a Kafka/Python developer, brushing up on language skills and openness to collaborate has become essential.

Interested in remote Kafka/Python developer jobs?

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How to get hired as a remote Kafka/Python developer?

Companies today prefer to work with professionals with a deep understanding of important technologies. For which constantly upgrading personal tech stack and developing knowledge of various domains has become essential. In addition to core technologies required for Kafka/Python development, developers also need to have a clear idea about user preferences. This allows developers to build entire applications and front-ends drawing inspiration from preferred features. The primary objective of any Kafka/Python developer is to build efficient solutions that offer class-apart user experience using intuitive interfaces.

Turing has quickly become the premier platform for taking careers forward working as a remote Kafka/Python developer. We provide developers opportunities to work on era-defining projects and business problems using state-of-the-art technologies. Join the fastest growing network of the top developers around the globe to get hired as a full-time and long-term remote Kafka/Python developer with the best pay packages.

Why become a Kafka/Python developer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Kafka/Python developer?

Every Kafka/Python developer at Turing can set their own pricing. Turing, on the other hand, will recommend a salary to the Kafka/Python developer for which we are confident of finding a fruitful and long-term opportunity for you. Our salary recommendations are based on an analysis of market conditions as well as customer demand.

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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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Explore remote developer jobs

briefcase
Terminal Bench Expert

About the projects: 

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


About the Role: 

Looking for highly analytical engineers, researchers, and domain specialists to contribute benchmark tasks for AI agent evaluation systems (e.g., Terminal-Bench). Design realistic, technically deep tasks simulating real-world scenarios such as debugging, data corruption, infrastructure failures, and complex workflows.


What does day-to-day look like:

  • Design high-quality Terminal-Bench task ideas and specifications.
  • Develop complex tasks requiring reasoning, investigation, and debugging.
  • Write clear task descriptions, solution approaches, and verification logic.
  • Define deterministic, outcome-based evaluation criteria.
  • Identify realistic failure modes, edge cases, and operational constraints.
  • Create tasks that challenge AI systems while remaining solvable by experts.
  • Collaborate with reviewers to refine task quality and difficulty.
  • Contribute expertise across one or more specialized domains.

Required Skills:

  • 3–10 years of experience in software engineering or relevant domains.
  • Strong debugging, reasoning, and analytical skills.
  • Good understanding of system design, workflows, and dependencies.
  • Ability to analyze complex systems across multiple layers.
  • Experience with production systems, pipelines, or large-scale workflows.
  • Strong technical writing and documentation skills.
  • Exposure to LLMs, agentic systems, or AI evaluation frameworks.
  • Experience reviewing technical specifications or designing validation logic.

Domains (Any of the following):

  • Software Engineering & Code Operations
  • Debugging & Codebase Navigation
  • System Administration & Shell Workflows
  • File & Text Processing Pipelines
  • Data Engineering (ETL & Data Pipelines)
  • Database & SQL Operations
  • Machine Learning Pipelines & MLOps
  • Post-training & Model Finetuning Workflows
  • AI Evaluation & Benchmarking Systems
  • Retrieval, Search & Ranking Systems
  • GPU / Systems Performance Optimization
  • Distributed Systems & Infrastructure
  • Cloud & Platform Engineering
  • DevOps & CI/CD Systems
  • Build & Dependency Management
  • Scientific & Numerical Computing
  • Simulation & Optimization Systems
  • Formal Methods & Theorem Proving
  • Document & Structured Data Processing (PDFs, Excel, etc.)
  • Media Processing (Video, Audio, Images via CLI tools)
  • Programmatic Graphics & Design (SVG, layout, rendering)
  • Data Visualization & Reporting Workflows
  • Geospatial & Spatial Data Processing
  • Time-series & Forecasting Systems
  • Security, Forensics & Reverse Engineering
  • Cybersecurity & Vulnerability Analysis
  • Networking & API Integration Workflows
  • Automation & Multi-step Toolchain Orchestration
  • CLI Tooling & Developer Tool Workflows
  • Version Control & Git Workflows
  • Observability, Logging & Monitoring
  • Storage Systems & File Systems
  • Finance & Accounting Workflows
  • Quantitative Finance & Risk Modeling
  • Legal & Compliance Workflows
  • Healthcare & Clinical Data Processing
  • Supply Chain & Logistics Operations
  • Marketing & Growth Analytics
  • CRM & Sales Operations
  • HR & Recruiting Analytics
  • Consulting & Strategy Modeling
  • Investment Workflows
  • Operations Research & Decision Optimization
  • Benchmark Infrastructure, Adapters & Harness

Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with overlap of 4 hours with PST
  • Employment type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 5 weeks; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process (approximately 75 mins) :

  • One round of technical evaluation (60 mins)
-
1-10 employees
Software DevelopmentLLM
briefcase
C++ Systems Software Engineer

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


Role Overview:

We are seeking highly skilled C/C++ engineers to work with system-level libraries and tools such as OpenSSL, FFmpeg, glibc, libssh2, zlib, systemd, tcpdump and support infrastructure for AI-driven software engineering systems. In addition, you will play a key role in building the backend stack for model training and evaluation pipelines that support intelligent systems like the SWE Bench, where AI agents assist in real-world software maintenance and patching workflows


Responsibilities:

  • Develop, maintain, and extend high-performance, secure system software in C/C++.
  • Integrate and work with open-source projects such as OpenSSL, FFmpeg, glibc, systemd, tcpdump, libssh2, ImageMagick, and FreeRDP.
  • Design tools and infrastructure to support model training and evaluation workflows.
  • Build systems for suggesting code patches based on bug reports, issue descriptions, and vulnerability IDs.
  • Automate assessment of PRs and patch diffs for correctness and completeness.
  • Develop solution plans, set up reproducible environments, and evaluate test outcomes.
  • Collaborate with AI engineers on integrations involving Rust bindings and Python-based orchestration tools.
  • Analyze low-level system behavior using profiling, tracing, and debugging tools.
  • Write clear, maintainable code and documentation for internal systems and external libraries.

Required Qualifications:

  • Expert-level experience in C and/or C++ (C99+, C++11/14/17).
  • Strong understanding of systems programming, memory management, and networking internals.
  • Hands-on experience with Linux kernel, glibc, and multithreaded programming.
  • Familiarity with libraries such as OpenSSL, zlib, FFmpeg, libssh2, and ImageMagick.
  • Proficiency with debugging and diagnostics tools like gdb, valgrind, perf, and tcpdump.
  • Experience integrating or extending open-source libraries and toolchains.
  • Comfortable with build systems such as make, cmake, and autotools.
  • Experience with Python, bash scripting, and Docker.
  • Exposure to DevOps practices.

Good to have:

  • Experience with model evaluation workflows involving static and dynamic code analysis.
  • Understanding of AI-assisted code generation tools and feedback loops.
  • Background in building tools for test orchestration, sandboxing, and runtime validation.


Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Potential for contract extension based on performance and project needs.

Offer Details:

  • Commitments Required : 40 hours per week with overlap of 4 hours with PST
  • Engagement type : Contractor assignment/freelancer (no medical/paid leave)
  • Duration of contract : 3 months; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process

  • 2 rounds of technical interview with 30 minutes each
-
1-10 employees
C++Open SourceShell Scripting
sample card

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