Terraform Jobs

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview The Developer Experience team is what keeps Harvey’s fast growth momentum possible — the kind of fast where every week brings new products, new capabilities, and new challenges. We build the CI/CD systems, internal frameworks, and platform-level guardrails that enable all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on the Developer Experience team, you will be responsible for creating frameworks and systems that maximize the velocity and efficiency of every engineer at Harvey. You’ll work across the entire tech stack and collaborate with every team to instill reliability, automation, and simplicity into our developer workflows. You'll also have a unique opportunity to apply AI directly to the problem of developer productivity, defining the future of software development within an AI-native company. If you are passionate about building foundational platforms to enable other engineers to move fast with confidence, we’d love to hear from you. What You’ll Do - Develop and scale a world-class developer platform to accelerate Harvey's hyper growth. Boost velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments.. - Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications. - Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle. - Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform, ensuring services built on our foundation are robust, easy to test and maintain. - Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality — empowering every Harvey engineer to move fast with confidence. - Set the strategic direction and roadmap for scaling developer experience as Harvey expands, and contribute strategically to team decision-making. - Provide strong technical leadership and mentorship, upholding a high bar for engineering excellence across the team. What You Have - 7+ years of software engineering experience, including building scalable backend systems or internal developer platforms. - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals and distributed systems. - Hands-on experience with CI/CD systems (Builtekite, Github Actions), test frameworks, or load and performance testing. - Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform). - A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability. - Proven technical leadership throughout the entire project lifecycle, including ideation, design, implementation, and productionization. - Experience mentoring engineers, guiding architectural decisions, and shaping culture to foster engineering excellence. - Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive - Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback. - Experience integrating AI agents into a developer ecosystem is a strong plus. Compensation Range $238,000 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

$238k - $290k

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is on the Developer Experience team, which is crucial for maintaining Harvey's rapid growth by building CI/CD systems, internal frameworks, and platform-level guardrails. The team enables all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on this team, you will create frameworks and systems to maximize the velocity and efficiency of every engineer at Harvey, working across the entire tech stack. You will also have a unique opportunity to apply AI directly to developer productivity, shaping the future of software development within an AI-native company.

$175k - $250k

Mistral AI

Mistral AI is seeking passionate and skilled backend software engineers to join our new team in NYC. As a Backend Engineer, you will contribute to the development of core systems powering our AI platform, including AI Studio, Le Chat, and Mistral Code. Your work will shape how millions of users and developers interact with our AI platform at scale, focusing on building reliable, high-performance backend systems and APIs. This role directly impacts the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff levels who are eager to learn, collaborate, and ship impactful products.

Modal is seeking an experienced Forward Deployed Engineer (FDE) to partner with our sales team and drive technical sales success. As an FDE, you will be the technical voice in our sales process, working directly with Account Executives to help enterprise customers understand how Modal can transform their AI/ML infrastructure. You will partner with Account Executives to identify, qualify, and close strategic enterprise opportunities, lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements, and design and present compelling technical solutions that demonstrate how Modal addresses customer needs. You will also architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform, conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities, and navigate complex technical evaluations and address security, compliance, and integration concerns. Additionally, you will build trusted advisor relationships with technical decision-makers, collaborate with product and engineering teams to communicate customer feedback and influence product roadmap, and support contract negotiations by providing technical expertise.

Rogo is seeking a Staff Security Engineer to lead the design and implementation of cloud security architecture across AWS and GCP. This is a hands-on role for an engineer experienced in building and operating secure cloud platforms at scale, using code, systems design, and automation to solve security challenges. You will own the technical direction of cloud security, focusing on secure primitives, large-scale Terraform authoring, identity and network architecture, and embedding security into the core platform. The role requires a senior technical leader who is also tactical, writing production code, reviewing infrastructure changes, and providing pragmatic security solutions.

We are seeking an IT Engineer to manage the employee technology experience within our New York or London office, while also contributing to the scaling of Cognition's global IT operations. This role is the primary IT point of contact for the office, ensuring employees have secure and reliable technology and receive prompt support. The position also involves enhancing IT operations through the development of durable tooling, automation, and AI-enabled workflows to streamline recurring tasks. Ideal candidates will possess in-depth knowledge in two to three IT disciplines and a desire to explore new areas.

Mistral AI

Mistral AI is seeking early-career software engineers, including new graduates or those with up to 1-2 years of experience, to join their software engineering teams. In this role, you will contribute to building and enhancing the core systems that power Mistral's products, such as AI Studio and Applications, as well as supporting operations like SRE, data, and security. You will play a key part in shaping how users and developers interact with the AI platform at scale, working closely with experienced engineers who will mentor and support your growth. This is an opportunity for enthusiastic graduates to learn, collaborate, and deliver impactful products in a fast-paced environment.

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are a fast-scaling company with strong product-market fit, seeking ambitious individuals to help build a generational company. Our team operates with intensity, ownership, and a commitment to our mission, valuing decisiveness, simplicity, and continuous improvement. As a Software Engineer on the Site Reliability team, you will ensure the reliability, scalability, and performance of our legal AI platform, owning the systems that keep our platform fast, secure, and always on. Your work will be crucial in maintaining platform resilience as we grow across 50+ regions.

$200k - $260k

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.  This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. What You’ll Do - Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions - Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements - Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention - Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle - Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality - Provide technical mentorship and leadership, promoting best practices and fostering team growth What You Have  - 10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams - Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.) - Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.) - Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.) - Strong programming skills (Python, Bash, Go, or similar languages) - Proven track record of diagnosing complex system problems and implementing durable solutions - Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles - Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence Compensation Range $238,000 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

$238k - $290k

OpenAI

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As a Software Engineer on the Site Reliability team, you will be responsible for establishing the foundation of reliability, observability, and scalability for Sierra's AI-driven infrastructure. You will collaborate closely with core engineering and product teams to ensure our systems are highly available, efficient, and designed for growth.

OpenAI

We are seeking Software Engineers to join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector. You will work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact. This role offers both breadth and technical depth, giving you the opportunity to shape the future of OpenAI’s technology where it matters most.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their Proto Team, which acts as the technical pre-sales arm of the GTM organization. This role operates at the intersection of product and customer, translating Mistral's AI technology into real-world solutions that deliver value quickly. The engineer will build high-impact, full-stack AI solutions for global customers on short timelines, owning the end-to-end execution from scoping to deployment. This position also involves collaborating with GTM, product, and engineering teams, contributing to internal tools and product improvements, and testing new capabilities to inform product direction. The ideal candidate is a fast-moving, highly curious builder who thrives in complexity and ambiguity, possesses strong problem-solving skills, and has a hacker mindset with deep engineering instincts.

Decagon is seeking a Founding Solutions Architect - Infrastructure to shape how enterprises deploy and scale our AI-powered platform. This role blends pre-sales engineering, deployment architecture, and enterprise infrastructure strategy. You will serve as a trusted advisor to enterprise prospects and customers, guiding them through complex deployment discussions, from containerization to multi-cloud architectures, ensuring seamless integration with their existing infrastructure while meeting security, compliance, and scalability needs. As a founding hire, you will define deployment solutioning best practices, collaborate with Sales, Product, and Engineering, and establish technical credibility with stakeholders across various departments.

We are seeking Forward Deployed Engineers to join our engineering team, working at the intersection of deep infrastructure and direct customer impact. In this role, you will partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, and sandboxing. Your primary goal will be to help them design and deploy production infrastructure on Modal's platform, acting as a key technical advisor and problem-solver.

OpenAI

The Forward Deployed Engineer (FDE) role at OpenAI for Government focuses on leading complex deployments of frontier AI models in production environments for government and public sector customers. You will embed with these strategic clients to understand their challenges, structure delivery, and rapidly build full-stack solutions that create measurable value. This involves scoping, sequencing, and driving clarity across internal and external teams, acting as a technical thought partner to defense, intelligence, and federal stakeholders to guide adoption, maximize mission impact, and ensure successful deployments at scale. The role also involves identifying reusable patterns, codifying best practices, and providing field feedback to influence OpenAI's product roadmap.

Abridge

Abridge is seeking an ML Infrastructure Engineer, Model Inference to build and optimize the core inference infrastructure powering their machine learning models. This role is crucial for enhancing the scalability, efficiency, and performance of Abridge's AI-driven healthcare solutions. The engineer will collaborate with Infrastructure and Research teams to build, deploy, optimize, and orchestrate AI models, working on a platform that transforms patient-clinician conversations into structured clinical notes in real-time.

Clay is seeking an Engineering Manager to lead and grow a high-performing engineering team as the company scales through rapid growth. This role involves taking ownership of the team's mission and objectives, ensuring the delivery of high-quality solutions to critical challenges. The manager will foster an engaged, motivated, and collaborative team culture, supporting the professional development of each team member. Collaboration with product, design, support, and other engineering teams will be key to scaling and improving the product, with ample opportunities to tackle interesting problems and technical challenges.

LlamaIndex is seeking an experienced backend engineer to join their application platform team. This role will focus on building new features and scaling ingestion and AI systems for a rapidly growing company backed by Greylock. You will have significant opportunities for growth and ownership as you contribute to the next phase of the company's expansion, working on innovative AI products that redefine knowledge access and utilization.

OpenAI

The Agent Infrastructure team at OpenAI is building systems to enable the training and deployment of highly useful AI agents. This role involves working closely with research and product teams to scale systems for training agentic models and to build the platform for launching new agents to millions of users. You will contribute to a novel container orchestration platform, develop and maintain APIs for agentic infrastructure, and use Terraform for infrastructure management. The ideal candidate has deep experience in large-scale machine learning infrastructure, a knack for performance optimization, and expertise in virtualization and containerization technologies.