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Oleg A., PHP Backend Engineer

Gdansk, Poland
Last Updated: 2 Apr 2024
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- 11+ years of experience in web development and 4 years of experience in the Fintech domain. - Proficient in various PHP frameworks such as YII2, Laravel and Symfony. - Experienced in front-end technologies including HTML5, CSS3, SASS, LESS, and JavaScript. - Strong knowledge of APIs and integrating payment gateways (Crypto, APM, S2S). - Expertise in designing and developing secure web applications. - Familiarity with AWS, Microsoft Azure, and other cloud infrastructure management. - Proven track record of successfully delivering projects on time and within budget, receiving commendations for technical prowess, innovative solutions, and team collaboration. - Location: Poland - Available: ASAP

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Amazon Web Services (AWS)

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Roman F., PHP Engineer

Last Updated: 5 Mar 2024
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- Experienced Software Engineer with 8 years of commercial experience in demanding environments, focused on producing cutting-edge systems for businesses. - Skilled in infrastructure cost optimization, Kubernetes, and Terraform. - Proficient in PHP, JavaScript, Golang, and various databases such as MySQL, PostgreSQL, and MongoDB. - Extensive experience with Amazon Web Services (AWS) and containerization technologies like Docker. - Strong background in computer science with a Master's degree in Computer Science. - Familiar with Agile and Scrum methodologies, as well as software development practices and SDLC. - Excellent communication skills and fluent in Ukrainian with advanced English proficiency.

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Oleksii, Senior JavaScript Full-Stack Engineer

Last Updated: 2 Apr 2024
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- 10+ years of experience in web development, M.Sc in Software Engineering - Mastery of JavaScript and its associated frameworks and libraries, such as React, Angular, and Vue.js for front-end; Node.js, Next.js for back-end and React Native for mobile app development. - Experience with PHP and Cloud infrastructure such as AWS. - Proficiency in using version control systems (e.g., Git) and familiarity with DevOps practices for continuous integration and deployment (CI/CD). - Implementing and overseeing testing processes, including unit testing, integration testing, and end-to-end testing. - Experience leading and mentoring a team of developers, including assigning tasks, providing guidance, and ensuring the team's success. Ability to motivate and inspire team members, resolve conflicts, and provide constructive feedback. - Experience conducting assessments and interviews remotely.

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JavaScript   8 yr.


React   8 yr.


TypeScript   5 yr.


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Nickson M., Senior Python/Golang Engineer

Kampala, Uganda
Last Updated: 4 Jul 2023
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- 6 years of experience in IT - 5 years of experience with Golang - 6 years of experience with Python - Fluent English - Available ASAP

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Go   5 yr.

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Anatolii K., Python Software Engineer

Kamianets-Podilskyi, Ukraine
Last Updated: 5 Apr 2024
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- 4 years of experience in the IT industry as a Python Engineer - Proficient in using technologies such as Django DRF, Flask, Pandas, BeautifulSoup, SQLAlchemy, Asyncio, Flask + Marshmallow, Apscheduler, Jinja, Quip API, Docker, Nginx, Amazon MWS API, Amazon SP-API, Google API, and Telegram API; - Strong in refactoring, bug-fixing, and working with Python, JavaScript, Django, Django Rest Framework; - Skilled in developing faceted search and matching algorithms using ElasticSearch; - Experienced in PDF generation and importing from various formats; - Developed web applications, API interfaces, and automated scripts for data transformation; - Previous experience includes working as a Python developer focused on data scraping for Amazon, eBay, and Walmart products in dropshipping projects; - Also worked as a C# developer on various projects, specializing in web development, scraping, and parsing data; - Upper-Intermediate English; - Available ASAP

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AI tools and expert human reviewers in the vetting process are combined with a track record and historically collected feedback from clients and teammates. On average, we save over 50 hours for client teams in interviewing Redis candidates for each job position. We are fueled by a passion for technical expertise, drawn from our deep understanding of the industry.

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Our journey starts with a 30-minute discovery call to explore your project challenges, technical needs, and team diversity. Meet Carefully Matched Redis Talents. Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person. Validate Your Choice. Bring a new Redis developer on board with a trial period to confirm that you’ve hired the right one. There are no termination fees or hidden costs.

How does Upstaff vet remote Redis engineers? Arrow

Upstaff Managers conduct an introductory round with potential candidates to assess their soft skills. Additionally, the talent’s hard skills are evaluated through testing or verification by a qualified developer during a technical interview. The Upstaff Staffing Platform stores data on past and present Redis candidates. Upstaff managers also assess talent and facilitate rapid work and scalability, offering clients valuable insights into their talent pipeline. Additionally, we have a matching system within the platform that operates in real-time, facilitating efficient pairing of candidates with suitable positions.

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Table of Contents

TOP 10 Redis Related Technologies

  • Python

    Python is one of the most popular programming languages for Redis software development. Known for its simplicity and readability, it offers a wide range of libraries and frameworks that make Redis integration seamless. Its extensive community support and rich ecosystem make it an ideal choice for building robust and scalable Redis applications.

  • Node.js

    Node.js is a server-side JavaScript runtime that is commonly used in Redis software development. It provides a non-blocking, event-driven architecture, making it highly efficient for handling concurrent requests and real-time applications. With its lightweight and scalable nature, Node.js is well-suited for building high-performance Redis applications.

  • Java

    Java is a widely adopted programming language in the enterprise world, and it is no exception when it comes to Redis software development. With its strong emphasis on reliability, security, and scalability, Java offers a robust framework for building Redis-based applications. Its extensive libraries and tools make it a popular choice for developing enterprise-grade Redis solutions.

  • Go

    Go, also known as Golang, is a modern programming language that has gained popularity in recent years. It offers a powerful concurrency model and efficient memory management, making it a great choice for building high-performance Redis applications. Go’s simplicity and strong community support make it a preferred language for developers looking to leverage Redis in their projects.

  • Ruby

    Ruby is a dynamic, object-oriented programming language that is often used in Redis software development. It has a clean and elegant syntax, which makes it easy to read and write code. Ruby’s extensive libraries and frameworks, such as Ruby on Rails, provide developers with powerful tools for building Redis applications quickly and efficiently.

  • PHP

    PHP is a popular scripting language that is widely used for web development, including Redis integration. It offers a simple and intuitive syntax, making it easy for developers to build Redis-powered web applications. PHP’s large user base and extensive documentation make it a convenient choice for developers looking to work with Redis.

  • C#

    C# is a versatile programming language developed by Microsoft that is commonly used in Redis software development. It offers a wide range of features, including strong typing, garbage collection, and support for object-oriented programming. With its integration capabilities and extensive tooling support, C# is a reliable choice for building Redis applications on the Microsoft stack.

TOP 10 Facts about Redis

  • Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker.
  • It was first released in 2009 and has since gained popularity due to its high performance, simplicity, and versatility.
  • Redis supports a wide range of data structures including strings, hashes, lists, sets, sorted sets, bitmap, and hyperloglog.
  • It is designed to be exceptionally fast, with the ability to handle millions of operations per second and sub-millisecond response times.
  • Redis is often used as a caching layer in web applications to improve performance by storing frequently accessed data in memory.
  • It provides built-in replication, allowing for data redundancy and high availability.
  • Redis supports clustering, which allows for horizontal scaling by distributing data across multiple nodes.
  • It has a rich set of features including pub/sub messaging, transactions, Lua scripting, and geospatial indexing.
  • Redis can be easily integrated with various programming languages and frameworks through its extensive set of client libraries.
  • It has a vibrant and active community, with regular releases and ongoing development to keep pace with evolving needs and technologies.

What are top Redis instruments and tools?

  • RedisInsight: RedisInsight is a graphical user interface (GUI) tool for managing and monitoring Redis instances. It provides real-time metrics, performance analysis, and alerting capabilities. RedisInsight was developed by Redis Labs and was first released in 2019. It supports various Redis modules and is widely used by developers and administrators to optimize their Redis deployments.
  • Redis Commander: Redis Commander is a web-based management tool for Redis. It allows users to interact with Redis databases through a user-friendly interface. Redis Commander was first released in 2013 and has gained popularity among developers due to its simplicity and ease of use.
  • Redis Desktop Manager: Redis Desktop Manager is a cross-platform desktop application for managing Redis databases. It provides a graphical interface to perform various operations such as executing commands, managing keys, and monitoring server performance. Redis Desktop Manager has been actively maintained since its first release in 2010 and is widely used by developers and administrators.
  • RediSearch: RediSearch is a full-text search engine built on top of Redis. It provides powerful indexing and querying capabilities, making it a popular choice for implementing search functionality in Redis-based applications. RediSearch was first released in 2017 and has gained traction in various domains, including e-commerce, content management, and analytics.
  • Redis Sentinel: Redis Sentinel is a high-availability solution for Redis. It monitors Redis instances and automatically performs failover in case of master node failures. Redis Sentinel was introduced in Redis version 2.8 in 2014 and has since become a critical component in ensuring the reliability of Redis deployments.
  • Redis Cluster: Redis Cluster is a distributed data store that allows horizontal scaling of Redis databases. It partitions data across multiple nodes and provides built-in fault tolerance and automatic data sharding. Redis Cluster was first introduced in Redis version 3.0 in 2015 and has been widely adopted for large-scale Redis deployments.
  • Memtier Benchmark: Memtier Benchmark is a load generation tool specifically designed for benchmarking Redis. It simulates various workloads and measures the performance of Redis instances under different scenarios. Memtier Benchmark was originally developed by Redis Labs and has become a standard tool for Redis performance testing.
  • RedisGears: RedisGears is a serverless engine for executing complex data processing tasks in Redis. It allows users to write custom functions and execute them directly within Redis, eliminating the need for external processing frameworks. RedisGears was introduced in 2019 and has gained attention for its ability to simplify and accelerate data processing pipelines.
  • RedisTimeSeries: RedisTimeSeries is a time-series database module for Redis. It provides efficient storage and retrieval of time-series data, making it suitable for use cases such as IoT telemetry, monitoring, and financial data analysis. RedisTimeSeries was first released in 2019 and has been adopted by organizations seeking high-performance time-series data storage.

Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsAssisting with basic coding tasks, bug fixing, and testing. Learning and gaining experience in software development processes and technologies. Collaborating with senior developers on assigned projects.$50,000 – $70,000
Middle3-5 yearsDeveloping and implementing software solutions. Collaborating with cross-functional teams to gather requirements and develop technical specifications. Participating in code reviews and providing feedback. Resolving complex technical issues and debugging code.$70,000 – $90,000
Senior6-9 yearsLeading and mentoring junior and middle developers. Designing and architecting software solutions. Providing technical expertise and making critical decisions. Collaborating with stakeholders to define project goals and objectives. Ensuring code quality and adherence to coding standards.$90,000 – $120,000
Expert/Team Lead10+ yearsLeading development teams and managing complex projects. Setting technical direction and making strategic decisions. Mentoring and coaching team members. Collaborating with other teams and departments to drive innovation and improve processes. Ensuring high-quality deliverables and meeting project deadlines.$120,000 – $150,000+

Cases when Redis does not work

  1. Insufficient memory: Redis relies heavily on RAM for storing its data. If the available memory is not enough to accommodate the data set, Redis may not work as expected or fail to start altogether. It is crucial to ensure that the system has enough memory to handle the Redis workload.
  2. High network latency: Redis is often used as an in-memory cache, and its performance is highly dependent on low network latency. If there are significant delays in network communication between the Redis server and the client applications, it can lead to slower response times and hinder the overall performance of Redis.
  3. Hardware failures: Like any other system, Redis is not immune to hardware failures. If the server hosting Redis experiences hardware issues such as disk failures or network card malfunctions, it can result in data loss or unavailability. Regular backups and monitoring can help mitigate the impact of hardware failures.
  4. Concurrency issues: Redis is single-threaded by design, which means it can process only one command at a time. While this design choice provides simplicity and avoids the complexities of concurrent data access, it can lead to performance bottlenecks in highly concurrent environments. Applications that heavily rely on parallel execution may find Redis performance limited in certain scenarios.
  5. Incorrect configuration: Redis offers various configuration options that allow fine-tuning its behavior to suit specific use cases. However, an incorrect configuration can lead to unexpected behavior or performance problems. It is important to review and adjust the Redis configuration parameters based on the specific requirements of the application.
  6. Data persistence issues: Redis provides different persistence options, such as snapshots and append-only files (AOF). If the chosen persistence method is not properly configured or experiences issues, it can result in data corruption or loss. Monitoring the persistence mechanism and regularly testing data recovery procedures are essential to ensure the reliability of Redis.
  7. Network security: Redis does not include built-in authentication or encryption mechanisms. If the network where Redis is deployed is not adequately secured, it can expose sensitive data to unauthorized access or eavesdropping. Implementing network security measures, such as firewall rules and encrypted communication channels, is crucial to protect Redis deployments.
  8. Operating system limitations: Redis relies on specific operating system features for optimal performance. If the underlying operating system has limitations or restrictions that prevent Redis from utilizing these features, it can result in reduced performance or compatibility issues. Understanding the operating system requirements and ensuring compatibility is important for a successful Redis deployment.

How and where is Redis used?

Case nameCase Description
Real-Time AnalyticsRedis is widely used for real-time analytics due to its high performance and low latency. It allows businesses to process and analyze large volumes of data in real-time, enabling them to make informed decisions and take immediate actions. For example, a retail company can use Redis to analyze customer behavior in real-time, such as tracking website clicks, monitoring social media interactions, and identifying trends. This helps the company optimize marketing campaigns, improve customer targeting, and ultimately increase sales.
CachingRedis is commonly used as a caching solution to speed up applications and reduce database load. By storing frequently accessed data in Redis, applications can retrieve the data quickly without querying the database every time. This significantly improves the overall performance and scalability of the application. For instance, an e-commerce website can cache product information, user sessions, and other frequently accessed data in Redis. This allows the website to serve pages faster, enhance user experience, and handle higher traffic loads.
Message QueueingRedis provides robust message queueing capabilities, making it an excellent choice for building distributed systems and handling asynchronous communication between microservices. It enables different components of an application to exchange messages and tasks efficiently. For example, a ride-sharing platform can use Redis as a message broker to handle ride requests, dispatch drivers, and notify users of ride status. This helps ensure reliable and real-time communication, enabling smooth and efficient operations.
Leaderboards and RankingsRedis’s sorted sets feature makes it ideal for implementing leaderboards and rankings in gaming and competitive applications. It allows developers to store and update scores in real-time, perform ranking calculations, and retrieve top scores efficiently. For instance, a mobile gaming app can use Redis to maintain a leaderboard that displays the highest scores achieved by players. This enhances competitiveness, encourages engagement, and provides a dynamic and interactive gaming experience.
Session ManagementRedis is often used for session management, especially in web applications that require fast and scalable session storage. It offers high-performance data structures and supports expiration and eviction policies, ensuring efficient handling of session data. For example, an online banking application can utilize Redis to store session information securely and handle authentication and authorization processes. This ensures seamless user experiences, enhances security, and enables horizontal scalability.

Soft skills of a Redis Developer

Soft skills are essential for a Redis Developer to excel in their role and collaborate effectively within a team. Here are the key soft skills required at different levels of experience:


  • Strong problem-solving skills: Ability to analyze and resolve issues related to Redis usage and performance.
  • Effective communication: Clear and concise communication with team members and stakeholders to understand requirements and provide updates.
  • Attention to detail: Paying close attention to details in Redis configurations and data management to ensure accuracy and reliability.
  • Adaptability: Being flexible and open to learning new concepts and technologies in the Redis ecosystem.
  • Team player: Willingness to collaborate and contribute to the success of the team.


  • Advanced troubleshooting: Expertise in diagnosing and resolving complex Redis issues and optimizing performance.
  • Leadership skills: Ability to take ownership of projects, guide junior developers, and provide technical mentorship.
  • Time management: Efficiently managing multiple tasks and prioritizing work to meet deadlines.
  • Analytical thinking: Applying critical thinking skills to identify areas for improvement and optimize Redis implementations.
  • Problem-solving mindset: Approaching challenges with a proactive and innovative mindset to find efficient solutions.
  • Collaboration: Working effectively with cross-functional teams to align Redis implementations with business requirements.
  • Documentation skills: Documenting Redis configurations, best practices, and troubleshooting steps for future reference.


  • Strategic thinking: Developing long-term Redis strategies aligned with business objectives.
  • Mentorship: Mentoring junior and middle-level developers, sharing knowledge, and assisting in their professional growth.
  • Project management: Leading and managing complex Redis projects, including planning, execution, and delivery.
  • Stakeholder management: Building strong relationships with stakeholders and effectively communicating project status and risks.
  • Innovation: Identifying and implementing innovative approaches and technologies to enhance Redis capabilities.
  • Process improvement: Continuously evaluating and improving Redis development processes and workflows.
  • Conflict resolution: Resolving conflicts within the team or with stakeholders in a constructive and diplomatic manner.
  • Decision-making: Making informed decisions based on data, experience, and business requirements.

Expert/Team Lead

  • Strategic planning: Developing Redis roadmaps and aligning them with overall business objectives.
  • Team leadership: Leading a team of Redis developers, providing guidance, and fostering a positive and productive work environment.
  • Technical expertise: Deep understanding of Redis internals, advanced features, and performance optimization techniques.
  • Architecture design: Designing scalable and highly available Redis architectures for large-scale applications.
  • Vendor relationship management: Collaborating with Redis vendors, staying informed about updates, and leveraging vendor support.
  • Thought leadership: Contributing to the Redis community through blog posts, conference talks, and open-source contributions.
  • Continuous learning: Keeping up with the latest trends and advancements in Redis and related technologies.
  • Business acumen: Understanding the impact of Redis on business outcomes and making strategic decisions accordingly.
  • Excellent communication: Effectively conveying complex technical concepts to both technical and non-technical stakeholders.
  • Quality assurance: Ensuring high-quality Redis implementations through code reviews, testing, and performance monitoring.
  • Risk management: Identifying and mitigating potential risks and security vulnerabilities in Redis deployments.

Pros & cons of Redis

9 Pros of Redis

  • High Performance: Redis is known for its exceptional speed and performance. It can perform millions of operations per second, making it ideal for use cases that require real-time data processing.
  • Low Latency: With its in-memory storage and optimized data structures, Redis offers low latency access to data, ensuring quick response times for applications.
  • Scalability: Redis is designed to handle large data sets and can easily scale horizontally by adding more nodes to the cluster. This allows applications to grow without compromising performance.
  • Flexible Data Structures: Redis supports a wide range of data structures such as strings, lists, sets, and hashes. This flexibility enables developers to model their data in a way that best suits their application requirements.
  • Pub/Sub Messaging: Redis provides a publish/subscribe messaging system, allowing applications to communicate with each other in a real-time, event-driven manner.
  • Cache Integration: Redis can be used as a caching layer to significantly improve the performance of applications. Its ability to store data in memory allows for faster retrieval and reduces the load on backend systems.
  • High Availability: Redis supports replication and failover mechanisms, ensuring that data remains available even in the event of node failures. This makes it a reliable choice for mission-critical applications.
  • Extensive Language Support: Redis offers client libraries for various programming languages, making it easy to integrate with different application stacks and frameworks.
  • Active Community: Redis has a vibrant and active community of developers who contribute to its development, provide support, and share best practices. This ensures that Redis remains up-to-date and well-supported.

9 Cons of Redis

  • No Disk Persistence by Default: By default, Redis stores data only in memory, which means that data can be lost in the event of a system restart or failure. However, Redis provides options for disk persistence using snapshots or append-only files.
  • Limited Storage Capacity: Since Redis stores data in memory, the available storage capacity is limited by the amount of RAM available on the system. Storing large datasets may require additional memory or sharding.
  • No Built-in Security: Redis does not have built-in authentication and access control mechanisms. It is recommended to configure proper security measures such as firewalls and authentication plugins to protect Redis deployments.
  • Single-Threaded: Redis is single-threaded, which means that a single Redis instance can only process one command at a time. However, Redis can handle multiple client connections concurrently, leveraging its event-driven architecture.
  • Complex Configuration: Redis has a rich set of configuration options, which can be overwhelming for beginners. Proper configuration tuning is required to optimize Redis performance and ensure stability.
  • Not Suitable for Complex Queries: Redis is primarily designed for key-value data access and does not provide advanced querying capabilities like traditional databases. Complex queries may require additional processing on the application side.
  • Memory Overhead: Storing data in memory can result in higher memory consumption compared to disk-based storage solutions. It is important to carefully manage memory usage to avoid resource constraints.
  • Limited Durability: While Redis provides options for disk persistence, it may not offer the same level of durability as traditional disk-based databases. It is important to consider data durability requirements when using Redis.
  • Learning Curve: Redis has its own set of commands and data structures, which may require developers to learn new concepts and syntax. This learning curve can be a challenge for those unfamiliar with Redis.

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