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Remote Scala/React.js developer jobs

We, at Turing, are looking for remote full-stack Scala/React.js developers for designing, building and configuring applications and implementing UI components. This is your chance to work with leading Silicon Valley companies and accelerate your career.

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Job description

Job responsibilities

  • Review application requirements and interface designs
  • Design and develop highly responsive user interface components
  • Monitor application performance and suggest improvements
  • Troubleshoot application errors for quality assurance
  • Write scalable, testable, clean, and bug-free code
  • Perform software analysis, app testing, and debugging activities

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of experience working with React.js and Scala (rare exceptions for highly skilled developers)
  • Hands-on experience in React tools including Webpack, Enzyme, Redux, and Flux
  • Deep understanding of Spark analytics engine and Scala programming
  • Previous experience in architecting and designing new and existing systems
  • In-depth knowledge of JavaScript, CSS, HTML, and front-end technologies
  • Expertise in UI/UX design and development
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience with performance testing frameworks and tools
  • Familiarity with PostgreSQL and MongoDB database technologies
  • Experience in AWS technologies and ETL processes
  • Understanding of agile methodology
  • Ability to work independently as well as within a team

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How to become a Scala/React.js developer ?

React.js is the most popular open-source front end JavaScript library for creating web applications. It is used for building User Interfaces specifically for single-page applications. It is used for handling the view layer for mobile and web applications. It also enables the developers to create reusable UI components and also large web applications that can modify the data without reloading the page. The primary aim of React is to be scalable, fast and simple. It only works on user interfaces in the application and corresponds to the view in the MVC template. It can also be used with other libraries of JavaScript and frameworks like AngularJS in MVC. ReactJS can also be written as React.js or simply React.
Scala is a functional, object-oriented programming language with a compact and succinct programming style. Scala is a programming language for constructing complex programmes that runs on the Java Virtual Machine (JVM). Scala has fewer lines of code than Java, is more type-safe, supports functional programming (FP), and excels at object-oriented programming (OOP). Designing and maintaining Scala-based applications are the main responsibilities of a Scala developer. They also take part in any architectural development efforts relating to the app.

What is the scope in Scala/React.js development?

Learning Scala/React.js development makes perfect sense as it gives the developers the required simplicity in very less time in order to produce immersive user interfaces and mobile apps. Large scale applications can be designed with Scala/React.js with frequently evolving data. It gives the advantage of being scalable, non-risky, user-friendly, modular and outweighs all the disadvantages of the organization and developers.
Scala/React.js is easy to use for the programmers along with making sure that the businesses are effectively deploying their projects with more profit. React is doing unbelievably well and it stores a lot of opportunities for the future. The Scala/React.js developer jobs have a bright future ahead as this technology is used in various industries. If you possess an in-depth knowledge of JavaScript and HTML5 to work with React, it would be very beneficial. You should be able to do both on the server side and the client side.

What are the roles and responsibilities of a Scala/React.js developer?

An efficient Scala/React.js developer is supposed to perform certain roles and follow responsibilities to get the best results. React.js developers are responsible for developing and implementing components of user interface using React.js workflows and concepts such as Flux, Redux and Webpack. They are responsible for enhancing front end performance and also documenting the front-end code base. To be successful in Scala/React.js developer jobs, you need to have an in-depth knowledge of React and JavaScript concepts, exceptional front end coding skills along with an understanding of progressive web applications. He/she should also be able to design and build contemporary user interface components to improve performance of the application.
The technical and non-technical responsibilities a Scala/React.js developer job is supposed to follow are –

  • Create the front-end features by leveraging the inbuilt React toolkit.
  • Create reusable code for the prospects along with data visualization tools and libraries.
  • Integrating wireframes and designs within the code of application.
  • Keep an eye on interaction of users and convert them into useful information.
  • Write the code of the application interface with JavaScript.
  • Constantly monitor and enhance the application performance.
  • Translate the wireframes and designs into high quality code.
  • Continuously optimize the components to work smoothly across various devices and browsers.
  • Develop an understanding of GIT, Sigma, CSS libraries, Adobe XD etc.
  • Authentication of user information and developing responsive web-based user interface.
  • Take responsibility for all architectural development efforts by writing app - specific code.
  • Conduct a software evaluation.
  • Make sure the application fits the specifications.
  • Carry out regular debugging and testing of applications.
  • Suggest any improvements to the application's methods and infrastructure promptly.
  • Collaborate effectively across teams.
  • Contribute to the team's performance improvement.
    The Scala/React.js developer’s job requires to be strongly proficient in object model, JavaScript, DOM manipulation, data structures, JSX, algorithms and Babel. He/she should also be able to write crisp and clear code based on best practices and guidelines.

How to become a Scala/React.js developer?

If you are planning to get a Scala/React.js developer job, then you must be familiar with JavaScript. If not, this is the first step you should take and once you are familiar with JavaScript as a programming language, you need to go through frameworks and pick one for creating engaging web pages. You will come across Scala/React.js when you start selecting a JavaScript framework. A large percentage of the job openings for front end developers require experience in Scala/React.js. There are a lot of questions in this journey like what is Scala/React.js and how can you learn it. You can take online courses from several options available today and speed up your career. These courses will help you in understanding the beginner and advanced JavaScript topics to get familiar with React and Redux in order to build rich front-end applications. Apart from taking online courses, you can also go through the official React documentation which helps to understand the basic and advanced concepts along with keeping you up to date with the latest changes.
Let’s take a look at the methods and skills you will need to be proficient with to be successful in your Scala/React.js developer job –

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Skills required to become Scala/React.js developer

In a Scala/React.js developer job, he/she should be eager to improve their knowledge of Facebook's most well-known JavaScript library. The following are some of the most important abilities required in a Scala/React.js developer job:

1. HTML+CSS

There is no single front-end developer who is unfamiliar with HTML and CSS. An organization should be able to work with these and craft user interfaces. The Scala/React.js developers should be able to –

  • Work on and write semantic HTML tags.
  • Write and work with CSS selectors.
  • Implement a reset of CSS.
  • Understand the flexbox and box model and reset to the border box.
  • Implement responsive web principles along with use of media queries.

2. JSX

JSX is used to encapsulate the React.createElement() API. Without it, growing the API would be too tough, which is one of the reasons it's so important to the library and why the React team chose it in the first place. Theoretically, React.createElement() might be used to create a whole application. That would, however, be no quicker than using HTML directly. Although it may appear like incorporating our Markup into our template logic is a step backward, it just takes a few minutes using JSX to fall in love with the look.

3. Java and Python

Java is statically typed and compiled, whereas Python is dynamically typed and interpreted. Because of this one difference, Java is quicker at runtime and simpler to debug, but Python is easier to use and understand. Python's popularity stems in large part from its communicability; people just understand it better. It comes with a slew of Python libraries, so even the most inexperienced programmer won't have to start from scratch. Java has a vast number of libraries and a strong community since it is ancient and still widely used. As a Scala/React.js engineer, you should be well-versed in both languages.

4. Spark, Hadoop and MapReduce

You must be knowledgeable with Spark, Hadoop, and MapReduce in order to be successful in a Scala/React.js developer job. For years, Hadoop had been the undisputed king of big data, until Spark came along. Since its original release in 2014, Apache Spark has been sparking the world of big data. Because of its user-friendly APIs and expected speeds of up to 100 times faster than Hadoop MapReduce, some commentators believe Spark has marked the advent of a new era in big data.

5. ETL architecture

ETL plays a big role in the data integration process (extract, transform, and load). It's the backbone of today's business intelligence and analytics workloads, efficiently transporting and altering data from source to goal. Understanding how ETL works is one thing; creating a company-wide ETL infrastructure is quite another. Like real-world construction projects, ETL architecture necessitates a strategy and a solid foundation to guarantee that your process satisfies your present needs and expands with you as you grow.

Interested in remote Scala/React.js jobs?

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How to get remote Scala/React.js developer jobs?

You must devise an effective job-search strategy while gaining as much practical experience as possible. Consider what you're searching for and how you'll use that information to narrow down your search before you start looking for employment. It's all about getting your hands dirty and putting your abilities to work when it comes to demonstrating to employers that you're job-ready. As a result, it's critical to keep learning and improving. The more open source, volunteer, or freelancing projects you work on, the more you'll have to talk about in an interview.
Turing provides the best remote Scala/React.js developer jobs available, all of which are customized to your career objectives as a Scala/React.js developer. Working with cutting-edge technology to solve complex technical and business issues can help you expand rapidly. Join a network of the world's best engineers to get a full-time, long-term remote Scala/React.js developer job with higher pay and professional advancement.

Why become a Scala/React.js 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 Scala/React.js developer?

Turing's Scala/React.js developers are able to set their own rates. Turing, on the other hand, will suggest a salary at which we believe we can provide you with a fulfilling and long-term opportunity. Our recommendations are based on our research of market circumstances and our perceptions of customer desire.

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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briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
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