Remote Apache Solr developer jobs

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.

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Job description

Job responsibilities

  • Design, develop and maintain new search functionalities in the application
  • Design, develop and improve open-source search APIs and SDKs
  • Develop and maintain advanced query rewriting functionality
  • Write automated unit test cases for Solr search engine
  • Design, develop, review & test Solr search engine in collaboration with cross-functional teams

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science or IT (or equivalent experience)
  • 3+ years of experience working as an Apache Solr developer (rare exceptions for highly skilled developers)
  • In-depth understanding of SOLR, ElasticSearch, and Lucene
  • Proficient in Java, JVM tuning, and debugging
  • Good knowledge of automation and tooling using Python or Java
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones
  • Fluency in English to communicate effectively with engineering leaders

Preferred skills

  • Understanding of Linux for debugging tools and performance tuning
  • Knowledge of containers such as Kubernetes or Docker is a plus
  • Familiarity with cloud technologies such as AWS and Azure
  • Strong analytical and interpersonal skills

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How to become an Apache Solr developer ?

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.

What is the scope of Apache Solr development?

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.

What are the roles and responsibilities of an Apache Solr developer?

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:

  • Create, maintain, and improve new search features in the program.
  • Create, refine, and maintain open-source search APIs and SDKs.
  • Create and maintain powerful query rewriting capabilities.
  • For the Solr search engine, create automated unit test cases.
  • In conjunction with cross-functional teams, design, create, evaluate, and test the Solr search engine.

How to become an Apache Solr developer?

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.

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Skills required to become an Apache Solr developer

To fetch high-paying Apache Solr developer jobs, the first step is to learn the following skills.

1. Linux

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.

2. Docker or Kubernetes

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.

3. Amazon Web Services (AWS) and Microsoft Azure

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.

4. Strong analytical and interpersonal skills

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!

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How to get remote Apache Solr developer jobs?

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.

Why become an Apache Solr 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 Apache Solr developers?

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.

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.

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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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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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