Terraform Jobs

Sarvam is building the bedrock of Sovereign AI for India, developing a full-stack AI platform across research, models, infrastructure, and applications. This role focuses on building the platform that sits on top of a large, multi-vendor GPU fleet, serving demanding training and inference workloads. You will design and ship control-plane services, scheduler integrations, autoscaling controllers, inference-serving platforms, RBAC and quota systems, observability and cost tooling, and the CLI and APIs that ML engineers use daily. The work is heavy software engineering, treating the platform as a product with internal users as customers.

Crusoe Cloud is seeking a Senior Cloud Support Engineer to empower customers utilizing their sustainable, low-cost GPU compute power for AI/ML, physics simulations, and computational biology. As the primary technical support contact, you will ensure customers can seamlessly leverage Crusoe Cloud, directly impacting the company's mission to accelerate AI research and development. This role involves working with cutting-edge technologies and collaborating with a talented team to solve complex challenges, making it an ideal opportunity for a motivated and experienced technical professional passionate about customer success and Crusoe's values.

Crusoe Cloud is seeking a Senior Cloud Support Engineer to empower customers utilizing their sustainable, low-cost GPU compute power for AI/ML, physics simulations, and computational biology. As the primary technical support contact, you will ensure customers can seamlessly leverage Crusoe Cloud, directly impacting the company's mission to accelerate AI research and development. This role involves working with cutting-edge technologies and collaborating with a talented team to solve complex challenges, making it an ideal opportunity for a motivated and experienced technical professional passionate about customer success and Crusoe's values.

OpenAI

We are seeking an experienced Site Reliability Engineer to focus on security infrastructure. This role involves designing, building, and operating reliable, secure, and scalable infrastructure for identity, access, endpoint, and shared platform services across the company. You will be a senior technical owner, responsible for the end-to-end lifecycle of infrastructure and identity systems, from architecture and implementation to policy enforcement, upgrades, recovery, and ongoing operations. The goal is to build durable, production-grade platforms that reduce operational friction, enforce security by default, and empower teams to move forward with confidence. This is a hands-on role for a senior engineer who excels in ambiguous environments, enjoys end-to-end system ownership, and elevates reliability and security by replacing fragile systems with standardized, repeatable infrastructure.

Scale AI

Scale AI is seeking an Infrastructure Engineering Manager to lead a team focused on the full deployment lifecycle of AI applications in live customer environments. This role bridges the gap between AI research and production, transforming innovative prototypes into scalable, high-performance enterprise solutions. The team works on interactive AI applications, enterprise SaaS products, and platform capabilities, ensuring deployments are production-ready, secure, and built to last. The manager will drive improvements through customer feedback, automation, and scalable playbooks, focusing on complex technical problems at the intersection of customer impact and platform excellence.

$216k - $270k

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As a Forward Deployed Infrastructure Engineer, you will be a founding member of this function, owning the end-to-end lifecycle of customer deployments. You will help define how Sierra's AI platform is deployed and operated across enterprise environments, working directly with customers to architect, deploy, upgrade, and manage the AI platform infrastructure. Your role will be crucial in ensuring deployments meet security, compliance, and operational requirements, while also establishing the standards, tooling, and processes for scalable and repeatable deployments. You will partner cross-functionally with Engineering, Product, Sales, and Customer Success to scale complex customer engagements.

Nabla is seeking a Staff Front-End Engineer to lead the development of high-impact user experiences across our web, desktop, browser extension, and mobile interfaces. You will be instrumental in setting the standard for UI quality and performance, and will play a central role in evolving our design system, architecture, and tooling. This role offers the opportunity to contribute end-to-end to a specific product area within a cross-functional squad, working closely with Product, ML, and Back-End teams to ship full-stack features. We are a fast-moving, deeply technical engineering team leveraging AI to revolutionize healthcare delivery.

Scale AI

Scale is seeking a Software Engineer, Identity to join our Platform Engineering team. In this role, you will be instrumental in designing and developing core platforms and software systems, with a specific focus on identity, access management, authorization, and authentication. You will gain broad exposure to the cutting edge of the AI industry as Scale supports enterprises, startups, and governments. This position offers the opportunity to contribute to the foundational elements of products that power advanced LLMs and generative models, playing a crucial role in how humanity interacts with AI.

$216k - $270k

Together AI

Together AI is seeking a Staff Engineer to design and deliver multi-petabyte storage systems optimized for large-scale AI training and inference workloads. You will architect high-performance parallel filesystems and object stores, integrate cutting-edge technologies, and drive significant cost optimization. The role involves building Kubernetes-native storage operators and self-service platforms for automated provisioning and multi-tenancy. You will focus on optimizing data paths, designing multi-tier caching architectures, and tuning parallel filesystems for AI applications. This is a research-driven role within a company focused on lowering the cost of modern AI systems through co-design of software, hardware, algorithms, and models.

$250k - $300k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware and enables state-of-the-art ML practitioners with self-serve AI cloud services. This platform serves both our internal SaaS products and our external cloud customers, spanning dozens of data centers across the world.

$160k - $230k

Together AI

Together AI is a research-driven artificial intelligence company focused on lowering the cost of modern AI systems. This role is part of a team dedicated to enabling custom models and dedicated inference on Together's platform. The team is responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. The work often involves video or audio generation across the stack, including CUDA kernels, PyTorch optimization, inference engines, container orchestration, and queueing theory.

$160k - $250k

Together AI

Together AI is seeking an AI Infrastructure Engineer (SRE) to ensure the smooth operation of user-facing services and production systems. This role combines the skills of a pragmatic operator and a software engineer, applying sound engineering principles, operational discipline, and automation to our operating environments and codebase. You will specialize in systems such as operating systems, storage subsystems, and networking, while implementing best practices for availability, reliability, and scalability, with interests in algorithms and distributed systems. Join a research-driven artificial intelligence company focused on advancing AI through open and transparent systems, aiming to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models.

Together AI

As an AI Infrastructure Engineer at Together, you will be responsible for ensuring the smooth operation of all user-facing services and production systems. This role blends pragmatic operations with software engineering, applying sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You will specialize in systems (operating systems, storage subsystems, networking), implementing best practices for availability, reliability, and scalability, with varied interests in algorithms and distributed systems. Together AI is a research-driven artificial intelligence company focused on lowering the cost of modern AI systems through co-designing software, hardware, algorithms, and models, and we invite you to join our passionate group of researchers and engineers in building the next generation of AI infrastructure.

$190k - $270k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware and enables state-of-the-art ML practitioners with self-serve AI cloud services. This platform serves both our internal SaaS products and our external cloud customers, spanning dozens of data centers across the world.

Scale AI

Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector worldwide. We create custom AI applications impacting millions of citizens, generate high-quality training data for national LLMs, and provide upskilling and advisory services to spread AI's impact. As a DevOps Engineer, you will design and develop core platforms and software systems, supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure. We are enabling the public sector to transform operations and better serve citizens through cutting-edge technology.

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.

$216k - $270k

OpenAI

The Scaled Abuse team at OpenAI is responsible for protecting the company's products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. This role involves building and operating backend and data systems that power real-time detection, investigation workflows, and enforcement. The work requires a blend of engineering and abuse expertise, partnering with various teams to understand attack patterns and harden defenses. The ideal candidate is comfortable with ambiguity, can quickly learn new codebases, and can propose pragmatic improvements to enhance system resilience.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As a Software Engineer, Infrastructure, you will be responsible for designing, building, and maintaining the core systems that power our AI platform. Your focus will be on ensuring Sierra's infrastructure is secure, reliable, and scalable, empowering product teams to deliver with speed and confidence.

Decagon is seeking a founding Platform Engineer, Security to design, build, and operate the security infrastructure for its leading conversational AI platform. This is a hands-on builder role focused on creating durable, well-engineered systems, including paved paths for secure service creation, automated security tooling, and infrastructure-as-code. As the first dedicated engineer in this area, you will have a significant impact on shaping the technical direction of the infrastructure security program and investing in automation, observability, and self-service. The work is closely tied to the business, directly enabling high-value deals with security-conscious enterprises.

$200k - $400k

The Cloud Infrastructure team is responsible for the foundational cloud primitives and deployment models that power Perplexity's products. This includes multi-tenant public cloud solutions as well as single-tenant and on-premises options for enterprise clients. As Perplexity expands its Computer and Enterprise products, this team will build and manage the security, isolation, and compliance layers essential for customer trust. They provide the deployment topologies, multi-region infrastructure, and core services that ensure Perplexity operates reliably and efficiently for both consumer traffic and large enterprises.