Remote Redis developer jobs

We, at Turing, are looking for talented remote Redis developers who will be responsible for ingesting, processing, and analyzing data while building real-time analytics systems. Get an excellent opportunity to collaborate closely with industry veterans while working at top U.S. firms.

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Job description

Job responsibilities

  • Write code for storing, accessing, and using data in applications
  • Build responsive applications by storing frequently accessed data in Redis
  • Deploy Redis updates, patches and version upgrades
  • Ideate and implement new hardware and software environments to ensure scalability and reliability
  • Find and fix issues to improve system performance

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of experience working with Redis (rare exceptions for highly skilled developers)
  • Experience working on real-time data analytics systems and technologies
  • Experience working with streaming solutions such as Amazon Kinesis and Apache Kafka
  • Expertise in caching, session storage, service decoupling, ingesting, and data indexing using Redis
  • Proficiency in development/scripting using Ruby, Python, Java, JavaScript, etc.
  • Fluent in English for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Familiarity with Infrastructure-as-a-Service (IaaS), Software-as-a-Service (SaaS) applications, and Platform-as-a-Service (PaaS) applications
  • Experience working in a Cloud/SaaS environment
  • Familiarity with Linux environment
  • Great research and analytical skills
  • Excellent organizational and interpersonal skills

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How to become a Redis developer?

Remote Dictionary Server, or Redis, is an open-source, fast, in-memory data store that may be used as a message broker, database, cache, and queue. It's simple to set up and doesn't need a lot of technical know-how. Redis is likely the most widely used and popular open-source database; stack overflow has called it the "Most Loved" open-source engine.
Redis developer job is to enable a huge number of queries per second and quick response times for real-world applications in areas such as finance, AdTech, gambling, IoT, and healthcare. By reducing the time it takes to provide applications and instilling a culture of triumph, this method of quick response and automation allows administrators to focus on tasks that add more value to the company. Eventually, Redis frees up enough time for teams to focus on other areas and responsibilities.

What is the scope in Redis development?

Redis is a popular database that is used all over the world. It's a high-performance, multi-purpose, in-memory database that expands quickly while delivering advanced functionality, and it's a crucial component in technology stacks of thousands of enterprises large and small. Redis, which is widely used as a database, cache, and message broker, has been named the most popular database three years in a row, as well as the best database container and cloud database.
From development to deployment, Redis is constantly at the top because of its quick speed. It's also at the top because it can handle numerous tasks at once, such as maintaining leaderboards, gaming, caching, video streaming, chat/messaging, and delivering real-time statistics. Redis is the only open-source engine capable of completing several jobs quickly and without the need for ongoing supervision. With all this, the Redis developer jobs are only increasing day by day.

What are the roles and responsibilities of a Redis developer?

A Redis developer is basically the modern DBA. You'll be responsible for developing, implementing, running, and supporting the data services solutions for the development teams in the cloud. In addition, in a Redis developer job, you will collaborate with customer support teams to develop solutions that will improve the customer support experience using these technologies.

The primary responsibilities of a Redis developer include:

  • Create code that allows you to store, read, and use data in your apps.
  • By storing frequently accessed data in Redis, you may create responsive apps.
  • Redis updates, fixes, and version upgrades should all be deployed.
  • To ensure scalability and dependability, design and install new hardware and software environments.
  • To increase system performance, find and address faults.
  • Cluster Scaling Establishment and removal of nodes, as well as replication maintenance.
  • Work with operations to distribute Redis updates, fixes, and version upgrades as needed.
  • Develop tools, services, frameworks, and interfaces that allow development teams to track, manage, and run code in production
  • Establish best practices for consuming Redis technology for data services.
  • Willingness to look into and solve problems, as well as give recommendations to enhance system performance.
  • Assisting the systems engineering team in proposing and deploying new hardware and software environments to guarantee scalability and reliability.

How to become a Redis developer?

For a Redis developer job, there is a certification course available which can be done after a basic Bachelor’s degree in software engineering. Software engineers may now demonstrate their expertise in Redis with the new Redis Developer Certification program. A detailed study guide, a practice test, and a formal certification exam are included in the curriculum. Engineers who pass the exam are designated as Redis Certified Developers and are awarded a digital badge and certificate as confirmation of their achievement.
Certification as a Redis developer gives you a formidable set of abilities to add to your arsenal. You'll be able to use these talents to solve a wide range of data management issues, much to the joy of your colleagues and users. As you advance in your career, this Certification is also an excellent opportunity to demonstrate your Redis proficiency to future employers and technical teams.

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Skills required to become a Redis developer

The first step is to master the core skills that will help you land high-paying Redis developer jobs. Let's take a look at what you should be aware of.

1. Design and test database plans

Regular tests are carried out by Redis developers to explore approaches to address database consumption problems and malfunctions. Because databases are frequently placed at the very bottom of the software architecture, testing is carried out with utmost caution. This is due to the fact that modifications to the database schema have an impact on many other program components. The Redis developer job you're thinking about requires you to make sure that altering the database structure doesn't damage current apps and that structures are utilized correctly.

2. Write clean code

An experienced Redis developer should be well-versed in a number of programming languages that are frequently used while creating applications for various platforms. A Redis developer job, on the other hand, necessitates knowledge of numerous languages as well as a grasp of the necessity of developing clean code.

3. DBMS

While Redis is a popular database technology, knowing about other options might give you an advantage. The Redis developer's knowledge of different tools and approaches displays his or her breadth of experience and investment in the development area. Some notable possibilities are Cassandra, Elasticsearch, DynamoDB, HBase, SQL, MongoDB, and many others.

4. Cloud system

Cloud computing represents a significant departure from how organizations have traditionally viewed IT resources. The majority of today's successful digital goods are kept on the cloud. This provides great performance while also allowing for continuous integration and delivery. To transfer knowledge into real-world results, hands-on experience is also essential. As a result, Redis developer jobs necessitate familiarity with a cloud platform, whether it's AWS, Azure, Google Cloud, or another.

5. Implementing secure Database

Redis programmers must guarantee that data integrity is preserved over time and that it is protected from unauthorized alterations or theft. Data protection and security are critical for company continuance. Sensitive data, such as user information, email addresses, geographic areas, and payment information, is frequently stored in databases. As a result, a strong security solution is required to secure your database against data breaches.

6. Soft skills

Apart from technical abilities, Redis developers must be able to communicate effectively with other developers, testers, and project managers while working on any software project. They should be able to swiftly resolve database issues and simplify the code. A sharp eye for detail and critical thinking skills may frequently detect flaws and faults that would otherwise go unnoticed.

Interested in remote Redis developer jobs?

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How to get remote Redis developer jobs?

Athletes and developers are similar. They must practice successfully and regularly in order to thrive at their profession. They must also put in sufficient effort so that their abilities improve over time. In that sense, there are two important things that developers must focus on in order for that growth to occur: the assistance of someone who is more experienced and successful in practice techniques when you're practicing, and the use of practice techniques that are more effective. It's critical for you to know how much to practice as a developer, so make sure you have someone to assist you and watch for indications of burnout!
Turing has the top remote Redis developer jobs that fit your Redis developer career goals. Working on difficult technological and business challenges with cutting-edge technology will help you grow quickly. Get full-time, long-term remote Redis developer jobs with greater income and career progression by joining a network of the world's greatest developers.

Why become a Redis 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 Redis developer?

Every Redis developer at Turing has the ability to select their own price. Turing, on the other hand, will propose a wage at which we are confident we can offer you a rewarding and long-term position. Our suggestions are based on our analysis of market circumstances and the demand we perceive from our clients.

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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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
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


Software
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
Software
11-50 employees
ReactVue.jsAngular+ 5
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