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.

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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.

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Senior Full-Stack LLM Engineer (Onshore)

Senior Full-Stack LLM Engineer (Onshore)
Dallas Texas - Work from Office

We are seeking an experienced Full Stack Engineer who possesses extensive hands-on expertise across the contemporary technology stack and a collaborative mindset. The ideal candidate will effectively collaborate with cross-functional teams, introduce and advocate for the most recent tools and frameworks, and drive engineering excellence throughout the organization.

As part of this role, the candidate will be responsible for designing and developing high-quality, production-grade code while adhering to industry best practices, coding standards, and architectural principles. Beyond individual contributions, the candidate will play a pivotal role in mentoring and training Jr developers—guiding them through code reviews, knowledge-sharing workshops to accelerate their growth, strengthen their technical foundation, and foster a culture of continuous learning within the team.

Must-Have Technologies: ReactJS, Java 17+, Microservices, AWS/Azure, RDBMS, NoSQL

Core Technical Skills

· 10+ years of hands-on software development experience, with deep expertise in modern Java Full Stack development.

· Strong command of Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.

· Proven experience building single-page web applications using ReactJS, Bootstrap, and Nodejs.

· Hands-on experience designing, developing, and deploying cloud-based architectures on AWS, Azure, or equivalent platforms.

· Expertise developing Java and Spring Boot applications backed by both relational (SQL Server / PostgreSQL) and NoSQL (MongoDB / Elasticsearch) databases.

· Practical experience integrating Large Language Models (LLMs) into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).

· Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.

· Understanding of responsible AI practices, including data privacy, hallucination mitigation, evaluation, and guardrails.

· Solid hands-on experience developing production applications, data processing scripts, automation tooling, or backend services in Python.

· Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.

· Proficient in designing and building RESTful APIs and web services following industry best practices.

· Strong SQL development skills, including query optimization and performance tuning.

· Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development.

· Solid understanding of front-end architecture principles and data-driven UI development.

· Demonstrated ability to write clean, efficient, and maintainable code that adheres to coding standards and best practices.

· Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.

Leadership & Soft Skills

· Proven ability to lead, mentor, and grow engineering teams, fostering a culture of technical excellence and continuous learning.

· Experience driving architectural decisions and setting technical direction across cross-functional teams.

· Strong stakeholder management skills, with the ability to translate business requirements into scalable technical solutions.

· Track record of leading end-to-end delivery of complex projects, from design through deployment.

· Effective communicator who can articulate technical concepts clearly to both technical and non-technical audiences.

· Skilled at conducting code reviews, establishing engineering best practices, and raising the bar for code quality across the team.

· Ability to collaborate with product managers, designers, and business stakeholders to align engineering efforts with organizational goals.

· Experience coaching junior engineers, conducting performance reviews, and contributing to hiring and talent development.

· Strategic thinker who can balance short-term delivery pressures with long-term technical investments and technical debt management.

· Ownership mindset — takes accountability for outcomes and proactively drives initiatives forward.

Good to Have (Palantir)

· Hands-on experience with the Palantir foundry, including building pipelines, ontologies, and data-driven applications.

· Familiarity with Palantir's development tooling such as PySpark transforms, TypeScript-based Functions, Workshop.

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· Ability to identify and apply AI-driven solutions to real-world business problems and integrate them into enterprise applications.

Real Estate
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Engineering Manager (Java, React – Playwright)

Job Title: Engineering Manager (Java, React, AI Tools)

Location: Dallas, Texas
Experience: 10+ years (with 3+ years in leadership roles)

About the Role

We are looking for an experienced Engineering Manager to lead a high-performing, full-stack engineering team working on scalable, enterprise-grade applications. This role requires a strong technical background across backend, frontend, data, and QA automation, along with proven leadership capabilities.

You will be responsible for driving technical excellence, mentoring engineers, and ensuring high-quality product delivery in a fast-paced environment.

Key Responsibilities

  • Lead and manage a cross-functional engineering team (backend, frontend, QA)
  • Drive design, development, and delivery of scalable applications using Java and React
  • Oversee end-to-end software development lifecycle, including architecture, coding, testing, and deployment
  • Champion automation-first QA practices using tools like Playwright (TypeScript)
  • Collaborate with product managers, designers, and stakeholders to define technical roadmaps
  • Ensure best practices in code quality, performance, security, and scalability
  • Mentor engineers, conduct code reviews, and support career growth
  • Improve team productivity through agile processes and engineering excellence
  • Work with data using SQL and Python for analytics, integrations, or backend processing
  • Leverage modern AI-assisted development tools (e.g., Cursor, Windsurf, Claude Code, OpenAI Codex, or similar) to enhance engineering productivity and efficiency

Required Skills & Qualifications

  • 10+ years of software engineering experience
  • 3+ years of experience in an Engineering Manager / Tech Lead role
  • Mandatory experience in the Retail domain
  • Demonstrated ability to operate at a strategic level, including defining team structures, ownership models, and long-term technical direction
  • Proven experience driving engineering outcomes beyond execution, including stakeholder alignment and measurable business impact
  • Strong hands-on experience with:Java (Spring Boot or similar frameworks)
    React / JavaScript (modern frontend frameworks)
    SQL and/or Python
  • Experience leading full-stack development teams
  • Solid understanding of system design, microservices, and APIs
  • Strong ability to think at system, product, and organizational level, including making architecture and business trade-offs
  • Experience with QA automation frameworks, especially:Playwright with TypeScript
  • Familiarity with CI/CD pipelines and modern DevOps practices
  • Hands-on experience leveraging AI tools (e.g., Cursor, Windsurf, Claude Code, OpenAI Codex, or similar) to improve developer productivity, code quality, or delivery workflows
  • Strong people management skills, including experience with performance management, team scaling, and handling team challenges
  • Ability to operate effectively in ambiguous environments and manage delivery risks
  • Excellent communication and stakeholder management abilities
Manufacturing
10K+ employees
Core JavaSpring BootReact+ 5
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