Terraform Jobs

Anduril's Continuous Integration platform is crucial for enabling all engineering teams to build, test, and deploy products globally. In this role, you will ensure this platform is reliable and fast, helping to build and deliver fully automated, faster, and more reliable CI pipelines. Your primary focus will be on functional and operational improvements that directly speed up the build, test, and deployment experience for critical business lines, with work that will compound across other products. You will deliver against a shared roadmap, own epics end-to-end, and instrument metrics to track improvements in the CI experience. This role involves working across a complex delivery ecosystem, multi-stage release pipelines, and Cloud and Robot environments where correctness has measurable consequences. If you enjoy building essential infrastructure for other engineers on systems that ship real defense technology, this is the role for you.

$191k - $254k

Assort Health is building a continuous conversation for every patient, powered by an AI agent that remembers context and personal preferences. This AI-driven healthcare platform aims to revolutionize patient interactions, moving beyond the current system's forgetfulness. The company has experienced significant growth, with substantial funding and recognition, and is seeking individuals passionate about making healthcare more accessible.

$190k - $240k

Tavily is building the infrastructure layer for agentic web interaction at scale, powering Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. They connect LLMs to high-quality, trustworthy web content, enabling developers to build intelligent and informed agents. Tavily works with innovative AI teams, from startups to large enterprises, serving as the link between LLMs and the real world.

$147k - $224k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work directly with Physical AI customers to understand their workloads and production requirements. Your insights will shape our core infrastructure products and inform future development by connecting needs across Physical AI industries with product decisions. You will also investigate opportunities for new Nebius products by developing hypotheses about unmet needs, examining demand, and building prototypes to test with customers. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure alongside customer engineers, with close collaboration across customers, NVIDIA, Product, and Engineering.

$180k - $224k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work alongside Physical AI customers to understand their workloads and production requirements, translating these into actionable insights for our core infrastructure products. You will also investigate and prototype new product opportunities based on unmet customer needs, helping to shape the future of Nebius' offerings. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure in close collaboration with customers, NVIDIA, Product, and Engineering teams.

Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. This role requires hands-on software engineering and operational ownership, with a focus on building production software and contributing deeply to platform services.

Glean is seeking a Software Engineer to join our Platform Infrastructure team, which focuses on customer setup and deployment, particularly in complex cloud, hosting, and security environments. You will help build the systems that bootstrap cloud accounts and projects, wire authentication, and transform deployment workflows into reliable, repeatable productized experiences for customers. This role is ideal for an engineer who enjoys cloud infrastructure, networking, infrastructure as code, and solving real-world deployment problems with clean software abstractions.

$200k - $270k

Glean is seeking a Senior Site Reliability Engineer to enhance the reliability, scalability, and operational excellence of its production services. This role involves designing, building, and operating resilient cloud infrastructure, improving service reliability against defined SLOs, and assisting teams in responding to production issues through effective observability and incident management practices. You will provide technical expertise for system and architectural decisions and collaborate with engineers across the organization to deliver dependable systems. Glean operates in a hybrid cloud environment and faces complex distributed-systems challenges due to its rapid growth. Your work will involve using software engineering and SRE skills to automate tasks, build tools, and improve deployment, monitoring, and on-call workflows, ultimately helping Glean scale and provide a reliable customer experience.

$200k - $260k

Lovable is seeking an exceptional Forward Deployed Engineering Lead to help build the future of AI-powered software creation. This role involves building and leading an outstanding Forward Deployed Engineering (FDE) team, while collaborating with other FDE leaders to define the function's global operations. You will remain deeply hands-on, working directly with ambitious customers, writing production code, and contributing to projects alongside your team. Lovable is a software creation platform empowering individuals and businesses to bring ideas to life, having facilitated over 60 million projects since its launch. The company is a fast-growing, generational AI company with a culture of extreme ownership, high velocity, and low-ego collaboration.

$241k - $391k

Together AI

In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies, and solve complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale.

$250k - $330k

Together AI

As a Technical Support Engineer at a pioneering AI company, you will be the first line of defense supporting customers building training, fine-tuning, and inference solutions. You will address complex technical challenges, provide effective solutions, and act as a product expert. Collaborating with product and sales teams, you will contribute to the continuous improvement of offerings. This role is for a technically proficient individual passionate about AI and customer success, seeking to make a significant impact in a fast-paced, innovative environment.

$160k - $230k

Scale AI

Scale is at the forefront of the AI revolution, building the Generative AI Data Engine and other products that power the world's most advanced LLMs. The Platform Engineering team is foundational to these efforts, responsible for designing and developing shared platforms, architecting core cloud infrastructure, and redefining software development processes. This role offers exposure to the cutting edge of AI development across various sectors, from startups to governments. You will drive the design and implementation of critical platforms, collaborate with cross-functional teams, and proactively improve engineering practices. This is an opportunity to shape the future of AI infrastructure and contribute to some of the most important work in how humanity interacts with AI.

$180k - $225k

Vectara is seeking a Platform Engineer to own the infrastructure that runs our deploy-anywhere platform. This role involves managing Kubernetes clusters for ML inference at scale, CI/CD pipelines, infrastructure as code, and the observability stack. You will be hands-on, writing Helm charts and Terraform, debugging issues, and shipping backend service features. The position requires deploying across AWS, GCP, and on-premises environments, including air-gapped setups, and participating in an on-call rotation to support enterprise customers.

Scale AI

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you’ll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

$216k - $270k

This Senior Oracle Security and AI Engineer will be primarily responsible for the Oracle Fusion security architecture, role design governance, and oversight of the Risk Management Cloud service and AI initiatives. The Engineer will serve as a hands-on expert for the technical administration, environment management, and platform integrity of the Oracle Fusion ERP Cloud environment. This role operates as a technical owner for Oracle Fusion Applications, Security, and the underlying Cloud and AI Infrastructure, focusing on building and deploying AI-driven tools and automation scripts to enhance platform security and optimize governance workflows.

We are seeking an experienced Staff Forward Deployed Engineer to join our team and help build the future of AI-powered software creation. This is a hands-on software engineering role where you will design, write, and ship production code, working directly with customers to translate ambitious ideas into real products. You will be a founding member of our Forward Deployed Engineering (FDE) function, helping to define its engineering standards, ways of working, and collaboration with product teams. This is a unique opportunity to scale a new discipline from scratch, solve novel AI problems, and shape a product and team while remaining deeply hands-on.

$199k - $325k

Accenture

This role is for a Forward Deployed AI Engineer who works directly within client enterprises to ensure complex AI platforms function effectively in real-world organizational settings. Unlike consulting or project delivery roles, this position focuses on owning production outcomes such as time-to-value, adoption, reliability, and scalability. The core challenge addressed is the gap between successful AI pilots and scaled AI capabilities, bridging it with engineers who can translate platform potential into measurable business value within enterprise environments. Forward Deployed AI Engineers are central to the company's Reinvention Deployment Engineering pods, offering opportunities to define the role at scale and tackle significant enterprise AI challenges across various industries.

The next generation of software will be built and shipped by agents, and Vercel is at the forefront of this revolution. As an engineer on the Agentic Infrastructure team, you will own the systems that power Vercel's build and deployment lifecycle at scale. This role requires a blend of product thinking and deep systems ownership, where you will be responsible for the design, reliability, and evolution of the platform. You will make critical decisions that impact performance, define best practices, and ensure the workflows that Vercel, its customers, and their agents depend on are fast, resilient, and secure. We are seeking engineers who are passionate about owning high-scale systems end-to-end, improving the developer and agent experience, and making a lasting impact on how modern software is built and delivered.

$196k - $294k

We are seeking an Applied AI Engineer to join our team and build AI-powered features that enhance our product experience and drive business outcomes. This is a hands-on, product-focused role where you will take ideas from concept to production, designing intelligent systems, validating them with users, and transforming them into reliable, scalable services. You will collaborate with cross-functional teams to identify high-impact opportunities, prototype rapidly, and iterate based on data, owning the full lifecycle from experimentation and evaluation to deployment and continuous improvement. The ideal candidate is passionate about applying LLMs and modern ML tooling to real-world challenges, with a strong understanding of systems, tradeoffs, and outcomes, prioritizing performance, quality, latency, and cost in production.

$215k - $250k

ElevenLabs is seeking an engineer to join their research infrastructure team to ensure their NVIDIA GPU clusters are fast, reliable, and performant. This is a builder-operator role with significant autonomy, where your impact will be directly measured by training throughput and researcher velocity. You will be responsible for the entire stack beneath the training code, from OS images and NVIDIA drivers to high-speed networking and job scheduling. The role involves both hands-on hardware work and writing automation to eliminate manual tasks, with a focus on maintaining cluster security and performance.