Remote Terraform developer jobs

We, at Turing, are looking for experienced remote Terraform developers who have demonstrable experience of working with AWS environments. If you have the desired skills, here’s your chance to work with the industry veterans at top U.S companies.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Identify bugs in the existing codebase and implement solutions to improve the code quality
  • Automate tools to monitor system health, efficiency and reliability
  • Automate infrastructure in AWS with Terraform and Ansible
  • Build CI/CD pipeline configurations to arrange provisioning and deployment of both large and small scale systems
  • Install and configure Windows servers and Linux servers
  • Create documentation utilizing enterprise standardized templates
  • Support operational teams and other stakeholders to maintain business production and customer satisfaction

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • AWS DevOps engineer with 3+ years of experience (rare exceptions for highly skilled developers)
  • Strong knowledge of cloud infrastructure using Terraform
  • Expertise in AWS services, like EC2, S3, VPC, Route53, ECS, API Gateway, Fargate
  • Good knowledge in source code repositories, like Bitbucket
  • Working knowledge of DevOps tools, like Jenkins, Ansible, Docker, Kubernetes etc.
  • Expertise in installing software in Linux environments
  • Experience in optimizing, designing, building, and troubleshooting public cloud platforms associated with complex, large application stacks

Preferred skills

  • Effective written and oral communication
  • Familiarity with Redshift, AppDynamics, and Splunk
  • Comfortable working with cross-functional teams
  • Able to manage and prioritize multiple projects following resource requirements and timelines

Interested in this job?

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How to become a Terraform developer?

Web development is a field that is constantly evolving. The number of remote developer roles has increased due to new technologies and business models being introduced daily. The trend is just the same for Terraform as well. Terraform is a go-to tool for managing the whole infrastructure lifecycle with infrastructure as code. This includes declaring infrastructure components in configuration files, which Terraform then uses to supply, change, and tear down infrastructure across many cloud providers.

Terraform's popularity has recently increased, and the trend is expected to continue in the future. You can become a top Terraform developer if you understand how Terraform can help organizations achieve their goals. Terraform development, without question, provides a stable and well-paying career opportunity.

What is the scope of Terraform development?

TerraForm is an important DevOps tool for versioning infrastructure as code. It's also one of the most popular infrastructure-as-code solutions on the market because of the widespread support from numerous providers, including AWS, Azure, GCP, and others.

Terraform enables your operators to complete their tasks faster and with more consistency. It can improve the efficiency of entire engineering teams and the interaction between developers and operators.

Web technology has advanced to a level that no one could have envisioned 20 years ago. Terraform is an open-source infrastructure as a code software tool, which offers plenty of career opportunities in the development field.

What are the roles and responsibilities of a Terraform developer?

A Terraform developer should constantly enhance the code quality by identifying engineering flaws in the existing codebase. He/she is also responsible for automating monitoring tools to track system health and reliability to meet high uptime goals and automating infrastructure in Amazon Web Services using Terraform and Ansible.

The primary responsibilities of a remote Terraform developer jobs include:

  • To ensure company continuity and customer satisfaction, actively support operational teams and other stakeholder teams.
  • Identify engineering flaws in the existing code base and work to enhance the code quality continuously.
  • Monitor system health and dependability with automated monitoring technologies to meet high uptime needs.
  • Automate infrastructure on Amazon Web Services using Terraform and Ansible
  • Regularly test the recovery of backups by automating backup and restoration processes.
  • Define and implement an efficient end-to-end automation solution provisioning process.
  • Configure CI/CD pipelines to orchestrate the provisioning and deployment of large and small-scale systems.
  • Conduct code reviews.
  • Install and configure Windows and Linux servers on a hands-on basis
  • Integrate developed IaC and CaC into CICD pipeline builds to support DevOps operations.
  • Review/modify the Configuration Item Configuration Document (CICD) to confirm that the execution and scope are correct from an IaC / CaC standpoint.
  • Assist with requirements validation and verification, requirements analysis and decomposition, requirements testing, verification, validation, and reporting.
  • Provide systems engineering requirements to guarantee that the suggested technologies can meet and satisfy technical and operational requirements.
  • Other non-templated documentation, such as process and procedure documents for operational support, diagrams, systems administration guidelines, systems set-up documentation, and hardware integration test plans and results, should be written as needed to support tasks.
  • Create documentation, such as installation and configuration guides, white papers, and design and engineering plans using business-established templates.
  • Ensure that standards, policies, and procedures are followed.

How to become a Terraform developer?

Terraform is not a particularly difficult technology to master in general. And it's an excellent fit for a variety of positions, from front-end developers to data scientists.

Here are some recommendations to help you find remote Terraform developer jobs.

  • Learning Terraform is simple and can take as little as one week to grasp the fundamentals and as little as three months to master if you devote enough attention to it.
  • YouTube can assist you in comprehending the ideas of Terraform if you're a slow learner. All of the web development classes are free.
  • You can also use online learning platforms like Udemy to purchase all of the free Terraform development courses that are accessible.
  • You can go to the website of the tech stack you wish to learn and check out the entire Terraform-related content library. Other online and physical institutions have sprung up to meet the increased demand for education. Make a concerted effort to utilize them as well.
  • Let's take a look at the skills and methods that a successful developer will need on their Terraform developer resumes to get hired.

Interested in remote Terraform developer jobs?

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Skills required to become a Terraform developer

The first step toward landing remote Terraform developer jobs is to learn the core skills. Now, let's have a look at it.

1. Terraform

Terraform is an open-source infrastructure as a code software tool invented by HashiCorp. Users define and provide data center infrastructure using HashiCorp Configuration Language, or optionally JSON, a declarative configuration language. Terraform is a valuable technology that allows you to build, alter, and version infrastructure securely and efficiently. It's built to support and manage the lifetime of various resources, such as physical servers, networking, and SaaS products. This is an essential skill to master to get hired for remote Terraform developer jobs.

2. OpenShift

Red Hat's OpenShift containerization software is a collection of products. The OpenShift container platform is the company's flagship offering, an on-premises platform as a service-based around Linux containers orchestrated and managed by Kubernetes on a Red Hat Enterprise Linux foundation.

3. Windows

Microsoft's Windows operating system is a graphical operating system. Windows lets users view and save files, run applications, play games, and watch videos, as well as connect to the internet. It was made available for both personal and professional use. You should develop a grip in Windows to perform well in Terraform developer jobs.

4. Linux

Linux is a Unix-like operating system (OS) for PCs, servers, mainframes, mobile devices, and embedded devices that is open source and community-developed. It is one of the most commonly used operating systems, supporting practically every major computer platform, including the x86, ARM, and SPARC.

5. Ansible

Ansible is open-source software for configuration management that allows infrastructure as code to be deployed. It operates on various Unix-like platforms and can configure both Unix-like and Microsoft Windows systems. Therefore, you need to be an expert at Ansible to perform the best in Terraform developer jobs.

6. Puppet

Puppet is a free and open-source tool for managing and deploying software configurations. It is most typically used on Linux and Windows to pull the strings on numerous application servers simultaneously. Puppet can be used on various platforms, including IBM mainframes, Cisco switches, and Mac OS servers.

Interested in remote Terraform developer jobs?

Become a Turing developer!

Apply now

How to get remote Terraform developer jobs?

Terraform development is one of the most adaptable professions since it allows you to work from anywhere with an Internet connection and a computer. If your job allows it, you can work from home or at your favorite workstation! Terraform developer jobs can let you do just that.

Working remotely demands being appealing enough to employers to recruit you despite the time difference or distance. To land successful Terraform developer jobs, you must keep up with your technical skills and maintain a productive work pattern.

Turing offers the best remote Terraform developer jobs that suit your career trajectories as a Terraform developer. Accelerate your Terraform development career by working on challenging technical and business problems using the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Terraform developer jobs with better compensation and career growth.

Why become a Terraform 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 Terraform developers?

At Turing, every Terraform developer is allowed to set their compensation. However, Turing will recommend a salary at which we know we can find a secure and long-term opportunity to grow your Terraform developer career. Our suggestions are based on analyzing the current market conditions and the demand from our customers.

Frequently Asked Questions

Terraform programming is a high-level config language called HCL or HashiCorp Configuration Language. It is used by developers to describe end-states on cloud or on-premises infrastructures for running applications.

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.

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.

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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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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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