We, at Turing, are looking for experienced remote Apache Solr developers who can design, develop and maintain new search functionalities and fault-tolerant applications. Here’s your opportunity to work with elite U.S. companies and collaborate with top professionals across the globe.
Apply to Turing today.
Fill in your basic details - Name, location, skills, salary, & experience.
Solve questions and appear for technical interview.
Get matched with the best US and Silicon Valley companies.
Once you join Turing, you’ll never have to apply for another job.
Most current programs have the ability to search as a fundamental feature. They must let the end-user quickly locate what they're looking for while incorporating massive volumes of data. To integrate search functionality, DevOps must move beyond traditional databases with complicated and non-user-friendly (even if clever and inventive) SQL query-based solutions.
Searching On Lucene with Replication (Apache Solr) is a free, open-source search engine based on the Apache Lucene framework. It has been accessible since 2004 and is one of the most popular search engines available today. It is an Apache Lucene subproject. Solr, on the other hand, is more than a search engine; it's also frequently used as a document-based NoSQL database with transactional support, as well as a key-value store.
Solr is a Java-based search engine with RESTful XML/HTTP and JSON APIs and client libraries for a variety of programming languages, including Java, Phyton, Ruby, C#, PHP, and others. Solr is used to create search-based and big data analytics applications for websites, databases, and files.
Solr is a search platform that is open-source and may be used to create search apps. It was constructed on top of Lucene (a full-text search engine). Solr is an enterprise-ready, fast, and scalable search engine. Solr-based apps are smart and provide excellent performance.
Yonik Seely invented Solr in 2004 to improve the search capabilities of CNET Networks' corporate website. It became an open-source project under the Apache Software Foundation in January 2006. Solr 6.0, the most recent version, was published in 2016 and added support for parallel SQL query execution.
Hadoop and Solr may work together. Solr assists us in discovering the essential information from such a vast source since Hadoop manages a large volume of data. Solr may be used for more than just searching. It can also be used to store data. It is a non-relational data storage and processing technique, like other NoSQL databases.
In a nutshell, Solr is a scalable, ready-to-use search/storage engine that is geared for searching massive amounts of text-based data.
To design and construct the next generation of a company's mobile apps, Apache Solr developers cooperate with a team of skilled engineers. In order to produce the product, other app developments and technical teams collaborate closely with the developers.
After securing remote Apache Solr developer jobs, a developer's key tasks are as follows:
Let's have a look at the processes to become an Apache Solr developer. To begin, keep in mind that working as an Apache Solr developer does not necessitate any academic degree. Whether you're a graduate or non-graduate, brilliant or inexperienced, you can grasp Apache Solr programming and make a career out of it. Practical experience and understanding of appropriate technical and non-technical abilities are all that are required.
You may have heard, though, that remote Apache Solr developer positions need a bachelor's or master's degree in computer science or a related field. This is true for a variety of reasons. For starters, you'll have a fundamental grasp of all technologies. Second, a degree guarantees a developer's competence in the subject, giving you an advantage over other applicants in interviews.
Let's have a look at the skills and strategies that can help you land Apache Solr developer jobs.
Become a Turing developer!
To fetch high-paying Apache Solr developer jobs, the first step is to learn the following skills.
Linux is also often used as a development environment's base. You can't always create and test your code on a local workstation; you'll need a real-world environment that simulates how your app will be used. Because you can't put untested code into production without jeopardizing your company, you'll need to use a test environment. This usually refers to Linux.
In the real world, basic Linux abilities are useful in a variety of situations. If you're going to do any programming with Ruby on Rails, you'll need to know how to unpack and configure it to set up your environment. You'll need to know how to test and discover errors if you're creating code for the Linux platform.
Docker makes "creating" containers simple, but Kubernetes enables real-time container management. Docker is a tool for packaging and distributing software. To start and scale your app, use Kubernetes. With fewer containers, startups and small businesses can generally manage them without Kubernetes, but as their infrastructure demands grow, so will the number of containers, making management more challenging. This is where Kubernetes enters the picture.
Docker and Kubernetes are digital transformation enablers and technologies for contemporary cloud architecture when used together. For speedier application deployments and releases, using both has become the new industry standard. Understanding the high-level differences between Docker and Kubernetes is crucial when developing your stack.
Amazon Web Services (AWS) is an Amazon cloud service platform that helps businesses grow and succeed by providing computing, storage, delivery, and other capabilities. These domains might be utilized as services on a cloud platform that can be used to build and deploy a wide range of apps.
Microsoft Azure is a cloud service platform developed by Microsoft that offers services in a variety of disciplines, including computing, storage, database, networking, developer tools, and other features that help businesses grow and prosper. Developers and software personnel utilize Azure services such as PaaS (platform as a service), SaaS (software as a service), and IaaS (infrastructure as a service) to create, deploy, and manage cloud services and applications.
Analytical thinking is the capacity to evaluate and arrange information in order to solve complex problems. Analytical minds can see patterns in data, which can lead to novel solutions. They know how to transform noisy data and information into useful information.
If you want to be a developer, you should start improving your analytical abilities now. In the end, it's all about putting together small details to form a broader image. Gathering data and searching for trends may also assist you in anticipating how the product will need to change. Godspeed!
Become a Turing developer!
Athletes and Apache Solr developers share many similarities. They must practice successfully and on a regular basis in order to be the greatest in their field. They should also put in enough effort to improve their talents over time. When practicing, Apache Solr developers should enlist the support of an Apache Solr expert who is successful in the area, as well as employ more effective practice strategies. Knowing how much to practice as an Apache Solr developer is critical. So enlist the services of an Apache Solr developer and keep an eye out for burnout indications!
Turing provides the top remote Apache Solr developer jobs to help you reach your professional goals as an Apache Solr developer. We allow you to work on challenging technical and business challenges utilizing cutting-edge technology, allowing you to swiftly enhance your abilities. Get full-time, long-term remote Apache Solr developer employment with greater income and professional progress by joining a network of the world's greatest Apache Solr developers.
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.
Every Apache Solr developer may set their own pace on Turing. Turing, on the other hand, will suggest a pay to the Apache Solr developer at which we are certain we will be able to offer you a lucrative and long-term opportunity. Our compensation suggestions are based on our research into market conditions as well as consumer desire.