Remote Kotlin developer jobs at U.S. companies

At Turing, we are hiring talented Kotlin developers to work with top Silicon Valley firms. If you are passionate about mobile technologies, here's your chance to collaborate with top industry veterans and rise quickly through the ranks.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Write and maintain high-quality reusable, scalable, efficient code
  • Contribute to the development of android and iOS applications
  • Design and develop new products and software elements
  • Review and resolve issues reported by internal and external customers
  • Communicate with cross-functional teams to collect and organize requirements
  • Guide internal teams in troubleshooting any production issues
  • Support end-to-end systems integration and functional validation

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Engineering, IT, or relevant field
  • 3+ years of professional experience in mobile app designing, development, and deployment (rare exceptions for super efficient devs)
  • Strong knowledge of Java and Kotlin languages
  • Experience with Android UI design principles, patterns, and best practices
  • Knowledge of VIPER, MVC, MVP, MVVM, ReactiveX, and Dependency Injection
  • Familiarity with third-party libraries and APIs

Preferred skills

  • Good understanding of object-oriented design principles and patterns
  • Quick identification of bugs and implement fixes
  • Strong communication and collaborative skills
  • Excellent problem-solving and organizational skills
  • Experience in Agile/Scrum methodology

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How to become a Kotlin developer?

Kotlin is primarily a pragmatic, modern, cross-platform programming language. It is a general-purpose programming language that has been designed to work in tandem with Java. Kotlin, developed by JetBrains, has a more concise syntax than other languages and is quickly gaining popularity among the Android developer community.

Kotlin has many outstanding features, including easy debugging and interoperability with Java, in addition to its concise and secure code. It's safe to use, fast, and simple to keep up with. Furthermore, it increases developer productivity and facilitates cross-platform development.

Given the popularity of the language, remote Kotlin developer jobs have seen an exponential increase.

What is the scope of Kotlin development?

Kotlin's syntax is simple to grasp for newcomers, and it includes a slew of powerful features. Its most notable features are security, clean compact syntax, general-purpose, and more. It can be an excellent language for experienced programmers to learn. The popularity of Kotlin's recent adoption in the Android app development sphere made people speculate that it might take over from Java for Android developments.

Recently, Google has announced that they are now using Kotlin for making most of their applications. Companies are gradually shifting from Java to Kotlin, clearly stating its significance and scope in the technical industry. By extension, the demand for remote Kotlin developer jobs has risen significantly in recent times.

What are the roles and responsibilities of a Kotlin developer?

Kotlin can be used both on the source and client sides of the applications. It is simple to use on all operating systems, including iOS, macOS, and embedded systems. People use it for developing mobile and server-side applications, client-side with JavaFX or JavaScript, data science, and more.
Kotlin requires less code and has fewer bugs. It also supports test-driven development, which further reduces the number of bugs. Even if you make a mistake while writing the code, you can quickly correct it. Because of its shortcode and fewer bugs, it is simple to maintain and can thus be handled by a new team. It also supports multiple plugins, making life much easier. With so many advantages, every programmer prefers to work with this language.
Usually, Kotlin developers should have the following capabilities:

  • Have in-depth knowledge of Java, as Java and Kotlin are interpolable and helps to develop android applications
  • Design feature-rich applications using Kotlin from the ground up
  • Evaluate code regularly to improve quality and reusability
  • Implement overall security and new technologies to improve user experience
  • Resolve bugs to increase performance
  • Translate wireframes into code and work with APIs as per the need
  • Create and maintain robust Android applications with back-end integration
  • Coordinate with other teams to plan and integrate new features

How to become a Kotlin developer?

When it comes to pursuing a career in Kotlin development, there are multiple paths you can take. Whether or not you're a graduate or have already worked professionally in the industry, you can have a lucrative career as a Kotlin developer with the necessary skillset. However, your Kotlin developer resume must show a Bachelor’s/Master’s degree in technical disciplines to get remote Kotlin developer jobs.

Besides a degree and knowledge of computer science, to become a Kotlin developer, you should be fluent in both Kotlin and Java, as these are the main programming languages required. As a result, you should write clear, readable, and concise code in these languages. Also, extensive experience in Android app development is needed as it is the foundation for everything you will implement.

Lastly, knowing about the latest mobile app trends, Android updates, and other emerging technologies would be an added advantage.

Now, let us take a look at the skills you require to become a successful Kotlin developer:

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Skills required to become a Kotlin developer

The first step is to have a strong foundation in the required skills to get high-paying Kotlin developers jobs. Here is what you need to know!

1. Java

Java is the most popular object-oriented programming language out there. Java has a simple structure and is easy to use and debug. It has gained tremendous traction recently, mainly because it has certain security features that make robust applications possible. By using Java, you can develop many types of applications for various uses. These uses include web services, desktop apps, network apps, and more.

2. Kotlin

Kotlin is an object-oriented language that runs on the Java Virtual Machine. It is compatible with Java and offers more out of the box through its additional functionality for data classes, null safety, and companion objects. Kotlin is an expressive modern language that is easy to read and write. You can use it for server-side development or Android apps using their Native technology, which compiles your Kotlin code into JavaScript for cross-platform runtime. One of its most exciting features is how easy it is to convert traditional Java libraries into their Kotlin equivalent, which you can then reuse in any future project

3. XML

XML finds uses in developing portable web and eCommerce applications. You can create interactive and customizable pages to improve the user interface. XML enables universal data access, making it easier for applications and devices of all types to use, store, transmit, and display data. XML offers an XSL Transformation processor that comes with its own set of formatting rules. This processor specifies how the data should appear when displayed on-screen or printed on paper.

4. RESTful Services/APIs

Representational State Transfer (REST) is an architecture that helps simplify data exchanges over the World Wide Web. It uses the Uniform Resource Identifier (URI) and HTTP to connect to back-end web services and application programming interfaces (APIs). So be knowledgeable of RESTful services and APIs to develop frameworks as needed by the project.

5. SQL

SQL acts as a medium to communicate with a database. It is the primary language used for relational database management systems. Using SQL statements, you can perform various tasks such as updating the data on the database or retrieving the data from the database.

6. GWT

GWT is an open-source web toolkit for creating and maintaining JavaScript front-end applications in Java. As a developer, you can use the GWT development toolkit to seamlessly build and optimize complex browser-based applications without being an expert in JavaScript or XMLHttpRequest. This makes the development and debugging of Ajax applications simpler.

Interested in remote Kotlin developer jobs?

Become a Turing developer!

Apply now

How to get remote Kotlin developer jobs?

Developers are a lot like athletes. To excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two significant factors that developers must focus on for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, you need to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote Kotlin developer jobs with good growth opportunities and high-paying salaries. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Kotlin developer jobs with better compensation and career growth.

Why become a Kotlin developer at Turing?

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

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

Join a worldwide community of elite software developers.

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.

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.

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

How much does Turing pay their Kotlin developers?

As a Turing developer, you can set your own rate. However, Turing will recommend a salary at which we know we can find a profitable and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Yes! If you pursue a career as a Kotlin developer, it's pretty fulfilling as it's easy to develop Android apps with Kotlin. Maintenance of the Kotlin project is cost-effective which also gives this language an upper hand. The best part about Kotlin is that Google has started preferring the language.

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.

Kotlin is one of the programming languages that make the development of Android apps easy and smooth. Also, the maintenance of the Kotlin project is within budget. It offers a surplus of language traits with an assurance of faster results. If you want to pursue a career as a Kotlin developer, then tune into Turing and work from the comfort of your home.

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.

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.

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Explore remote developer jobs

briefcase
Senior Fullstack Engineer - Backend Heavy

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.
●  Expertise 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.
●  Knowledge of frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with frontend 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


-
11-50 employees
DjangoFlaskFastAPI+ 5
briefcase
Senior Fullstack Engineer - Frontend Heavy

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
-
11-50 employees
ReactVue.jsAngular+ 5
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