Terraform Jobs

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that autonomously ship features and make prioritization calls by ensuring Nova can handle trillions of events in real-time. You will work across the full stack of this modern OLAP system, driving improvements in performance, cost-efficiency, and reliability. This is an opportunity to influence technical direction, mentor other engineers, and make a significant impact on a system that directly serves thousands of customers.

$198k - $299k

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that will autonomously ship features, run experiments, and make prioritization calls. You will work across the full stack of a modern OLAP system, including query planning and execution, columnar storage, distributed compute, caching, and cloud infrastructure. The goal is to drive significant improvements in performance, cost-efficiency, and reliability at scale, ensuring Nova can handle the increasing demand from non-stop AI agents. This position offers the opportunity to influence technical direction, mentor other engineers, and make a tangible impact on a system that serves thousands of customers.

$198k - $299k

As a member of the infrastructure team, you will be responsible for designing, building, and advancing our core infrastructure. This role supports the engineering team in executing quickly, productively, and securely within a collaborative yet highly autonomous working environment. Each team member has a defined role with clear expectations and the freedom to pursue interesting projects.

$205k - $270k

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. We're looking for a Staff Infrastructure Engineer to help lead core parts of our platform. You'll design, build, and scale the cloud infrastructure that powers our AI and GenAI workloads — ensuring reliability, security, and performance as we grow. This is your chance to shape the backbone of a platform trusted by Fortune 100 companies — building systems that are resilient, observable, and ready to scale with the next wave of AI.

$210k - $240k

We are seeking a Staff Software Engineer to focus on data querying and access control. This role is critical as it sits at the intersection of data retrieval and security, ensuring that every data read in Asana is both accurate and fast. You will be instrumental in maintaining these guarantees as our largest customers expand their data domains, develop more complex permission structures, and as AI agents become a significant new type of user accessing our systems. The Query and Access Control team is responsible for the query execution path over the Work Graph and its governing permissioning model. As a staff engineer, you will tackle our most challenging technical problems, driving initiatives that span multiple teams and influencing design decisions for years to come. You will collaborate closely with other core infrastructure teams to uphold customer trust in Asana as their platform for critical workflows.

Confido is seeking a Senior ML Ops Engineer to be the first dedicated owner of its ML platform. This role will be responsible for the pipelines, serving, and cloud foundation that enable AI/ML models and agents to operate reliably and cost-efficiently in production. The engineer will ensure the platform can handle large-scale workloads, including document understanding, forecasting, and agentic systems, with a focus on making AI/ML development and deployment seamless for the AI/ML team.

$210k - $300k

Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future physically-actuated devices. The Infrastructure team is central to this mission, building and operating the backbone for training state-of-the-art VLA models, large-scale simulation, and reliable deployment of intelligence across robot fleets. This role involves collaborating closely with researchers, robotics runtime, product, and platform engineers to ensure infrastructure scales from prototype to production-grade deployments.

Hex is seeking its first Engineering Director for AI Engineering to lead a team that blends research and technology to build innovative AI products. This role involves defining and executing research strategy, managing partnerships, driving technical content creation, and hiring/managing a team of AI engineers and researchers. The ideal candidate will have a passion for delivering exceptional AI-backed product experiences and a strong ability to attract and retain top talent.

$300k - $425k

Crusoe is building the operating system for AI datacenters, managing one of the world's largest GPU fleets. This role focuses on building a unified platform that senses, reasons about, and acts on the entire fleet, moving beyond traditional operational methods to achieve fleet autonomy. The platform is designed as a product with an API-first approach, offering SDKs, paved paths, and a self-serve portal for internal teams. It comprises agents for telemetry and command execution, a distributed infra graph, a reconciliation core for state management, and domain services for various operational tasks. The goal is to create an autonomous system that continuously improves through a sense-correlate-reason-act-learn loop, reducing manual interventions and enabling other teams to build services and workflows efficiently.

$250k - $300k

Salesforce is seeking a Lead Software Engineer to join the Platform Services team within the Digital Marketing Technology organization. This role offers hands-on technical leadership in architecture, platform innovation, and large-scale distributed systems. You will collaborate with engineering, product, and architecture teams to design and build scalable cloud-native services that power Salesforce's global digital ecosystem. This is an individual contributor role focused on solving complex technical challenges, mentoring engineers, and improving engineering standards across teams.

$173k - $260k

Reducto is seeking a Software Engineer for its Platform team to own the infrastructure behind the company's core API. This role involves ensuring document understanding systems are fast, reliable, and cost-efficient at scale. You will work across Python services, queues, model-serving, Kubernetes, observability, and developer tooling to enhance the platform's robustness. This is a high-leverage infrastructure position for someone who has built and operated production systems, prioritizes latency, reliability, and cost, and is adept at using modern LLM coding tools.

$200k - $325k

Percepta is seeking an AI Infrastructure Engineer to take ownership of the infrastructure, deployment, and operational reliability for Percepta's AI systems, including autonomous agents. This role involves hardening existing infrastructure, strengthening deployment pipelines, and defining new SRE practices for operating autonomous systems. You will be instrumental in bridging the gap between AI research and production, contributing to the foundational decisions that shape the future of agentic infrastructure.

$180k - $400k

At Mach9, ML infrastructure engineers build and maintain the systems that power production AI models for civil engineering and surveying. Our ML pipeline spans 10,000+ miles of labeled survey data, image segmentation networks, and 3D prediction models serving real-time inference to surveyors and engineers in the field. This role is ideal for mid-career ML infrastructure engineers with experience building for both training and inference. You'll build training pipelines that handle deep transformer models on hundreds of terabytes of 3D point cloud and image data. You'll also architect our inference infrastructure, delivering both heavy offline detection algorithms and real-time responsive inference that integrates directly with our CAD software.

$160k - $250k

Together AI

Together AI is seeking a Staff Platform Infrastructure Engineer to lead service and platform infrastructure strategy across the engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and define the standard for how services are built and operated. You will provide a stable, scalable service infrastructure foundation for mission-critical product and platform teams, focusing on reliability, repeatability, and ease of adoption. You will own and evolve crucial shared infrastructure, roll out new patterns and platform capabilities, and ensure services are built on company-wide foundations.

$240k - $280k

NVIDIA DGX Cloud provides AI services and endpoints for research and production workloads. We are seeking a Senior Production Engineer to develop software and automation that ensures these services are reliable, scalable, and safe to operate. The Production Engineering team focuses on large-scale distributed systems, including internal and external model endpoints, regional control plane services for workload orchestration and request routing, and the GPU/CPU compute infrastructure for inference and agentic workloads. Our work encompasses Kubernetes clusters across various cloud environments (AWS, Azure, Google Cloud, partner clouds) and on-premises deployments.

$184k - $357k

Faire is a technology wholesale platform connecting independent retailers globally. We are seeking a Staff Engineer to own and evolve our data plumbing, ensuring data is accessible, accurate, and queryable for various teams including Product Engineering, Data Science, and Machine Learning. This hands-on role involves designing and building the next generation of our data ingestion and processing systems, and serving as the go-to expert for data movement at Faire.

$247k - $339k

Taktile is seeking a Data Engineer (AI Enablement) to join their rapidly growing team, empowering financial institutions to become AI-native. As the first dedicated Data Engineer for AI Enablement, you will be responsible for building internal tools, agents, and integrations to enhance team efficiency. This role involves end-to-end project ownership, collaborating with leads across Engineering, GTM, and Ops to identify and scale high-impact workflows. You will embed across various departments to pinpoint areas where AI can reduce operational friction, drive adoption through workshops and support, and partner with Security and IT to ensure data protection.

d-Matrix is seeking a Sr Staff Site Reliability Engineer to join their AI Infrastructure team. This role is crucial for owning the infrastructure layer that powers all engineering teams and customers, encompassing colocation facilities, on-premises GPU clusters, cloud environments, and platform services. You will be responsible for reliability, automation, and observability across these diverse environments, managing systems end-to-end from provisioning to incident response. This is a hands-on position focused on building and operating real infrastructure, collaborating with hardware and software teams on CI/CD, QA, and HPC workloads, and supporting customer-facing deployments.

$175k - $265k

As a Forward Deployed Data Engineer (FDE) on our US Launch Team, you will be the principal technical anchor embedded directly within high-stakes enterprise client accounts, focusing heavily on the Energy Sector. You will bridge the gap between C-suite data strategy and hands-on production code, working alongside partners like Databricks and Anthropic. Your role involves leading architecture design, modernizing legacy systems into cloud-native Lakehouses, building agentic AI data harnesses, and guiding teams to ship working software rapidly.

$180k - $230k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models at scale. As a Tech Lead for the Applied AI Backend Systems, you will own critical services within our platform, focusing on designing data models, building APIs and services, and developing data pipelines that ensure reliable, fast, and observable operations. This is a hands-on build role where you will take ambiguous problems, make design decisions, ship to production, and mentor other engineers.

$250k - $500k