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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.

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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

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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.

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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!

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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?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

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.

Work from the comfort of your home

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.

Great compensation

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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briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
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