GCP Jobs

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.

LangChain is seeking a Senior Backend Engineer to join the LangSmith team, which focuses on building the core platform for observability, evaluation, and production reliability of AI systems. In this role, you will be responsible for developing the backend systems that power LangChain's observability and evals platform, enabling developers to monitor and evaluate their AI applications at scale. While the primary focus is on backend development, experience with full-stack or frontend engineering, performance tuning, and debugging production issues will be highly beneficial.

$175k - $240k

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.

Cohere

Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking engineers to join our team and contribute to the widespread adoption of AI. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications, acting as a bridge between our core North product and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors like finance, healthcare, and telecommunications, working with esteemed clients and focusing on Agentic AI.

$20k - $40k

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

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. In this role, you will lead project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.

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.

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams of Applied AI Engineers to ensure successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will serve as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, and collaborating with research, product, and engineering teams to shape future offerings. The position bridges cutting-edge AI research with real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's vision.

Rogo is transforming global finance with AI, empowering professionals at top investment firms with unparalleled speed, accuracy, and insight. We are redefining financial workflows and are a rapidly growing, global company with proven product-market fit and strong investor backing. We are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to our mission, taking ownership of complex problems and focusing on our users. If you thrive in a fast-paced environment and want to help build the future of finance, join us.

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.

We are seeking engineers to build and maintain the core infrastructure powering our mission to develop visual intelligence. This role involves maintaining and scaling compute clusters, building research platforms to accelerate innovation, and enabling large-scale, efficient resource orchestration for multi-week/month long training runs. If you are passionate about distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement, this team offers a unique opportunity to contribute to groundbreaking AI models.

€100k - €230k

OpenAI

We are seeking engineers passionate about distributed systems, close-to-the-metal performance optimization, and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.

Replit

As an Enterprise/Strategic Field Engineer, you will be the technical expert for Replit's largest and most strategic accounts. This hybrid role involves high-impact pre-sales activities, such as closing complex technical evaluations, and post-sales responsibilities, including driving adoption, expansion, and retention. You will own the complete technical relationship, from initial architecture discussions through multi-year growth, ensuring customers fully leverage Replit and become Replit-powered organizations. You will collaborate closely with Account Executives and Account Managers in a high-accountability Pod structure, acting as a proactive, strategic technical leader to anticipate and resolve issues, champion new use cases, and significantly influence annual recurring revenue.

OpenAI

As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale. We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one, prepared to ship solutions quickly while maintaining a high standard of quality and security. You will need to bring expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability, and communicate effectively across various teams and functions.

Mistral AI

Mistral AI is seeking an Applied AI Engineer focused on DevOps to help customers adopt its products and solve complex technical challenges. In this role, you will apply your problem-solving abilities, creativity, and technical skills to assist organizations in leveraging AI for significant impact. You will gain unique insights and contribute to critical global industries and institutions. Applied AI Engineers at Mistral AI work in small teams, owning end-to-end execution of high-stakes projects, which may involve discussing architecture, managing large-scale data, coding custom applications, engaging with customer executives, and strategizing for the Applied Engineering team.

Abridge

Abridge is seeking a highly experienced and motivated Senior Application Security Engineer to join their growing team. This is a key technical leadership role focused on building security from the ground up at the forefront of AI in healthcare. You will shape product, infrastructure, and engineering practices by impacting the vision and execution of the secure software development lifecycle (SDLC) across the entire product portfolio. The role involves collaborating with product and engineering teams to integrate security seamlessly, automate security controls, and foster a secure-by-default culture. This position demands deep technical expertise, a builder's mindset, and strong communication skills to influence security across the organization.

Mistral AI

Mistral AI is seeking an Applied AI Engineer focused on DevOps to help customers adopt our AI products and solve complex technical challenges. In this role, you will apply your problem-solving abilities, creativity, and technical skills to assist organizations in leveraging AI for significant impact. You will gain unique insights and contribute to critical global industries and institutions. Your responsibilities will resemble those of a startup CTO, working in small teams to own the end-to-end execution of high-stakes projects, which may involve discussing architecture, managing large-scale data, coding applications, engaging with customer executives, and strategizing for the Applied Engineering team.

Black Forest Labs is at the forefront of generative AI, known for foundational technologies like Latent Diffusion and Stable Diffusion. We are building the next generation of creative tools used by millions worldwide. This role is crucial for bridging the gap between cutting-edge research and production-ready systems, ensuring that our advanced models can be efficiently deployed and experienced by users. You will be instrumental in accelerating the pace at which research breakthroughs become usable APIs and demos, directly impacting inference speed, API performance under load, and the overall user experience of our models.

$180k - $300k